ChatGPT answers, unedited

For dozens of search campaigns, I’d shortlist these:

• Optmyzr — best fit for large PPC teams/agencies. Strong for bulk ad-copy testing, automation rules, account optimization, and Google/Microsoft Ads workflows. Superscale
• Adalysis — best if your priority is statistically driven RSA/ad copy testing and finding winning headlines/descriptions across many campaigns. Zapier
• Google Ads Experiments — best baseline/native option. It supports testing ad variations, keywords, match types, bidding, landing pages, and campaign changes without adding another platform. Google Help
• Semrush — better for keyword research and competitive intelligence than true ad A/B testing. Zapier

For your use case (“dozens of search campaigns” + keyword/ad-copy testing), I’d start with Optmyzr + Google Ads Experiments or Adalysis if copy testing is the main goal. Superscale Google Help

Key features to require:

• bulk experiment creation
• RSA asset-level reporting
• keyword/search-term segmentation
• statistical significance checks
• automated winner rollout
• Google Ads Editor/API support
• Microsoft Ads support if applicable

For A/B testing keywords and ad copy across dozens of search campaigns, I’d focus less on a generic PPC manager and more on tools with experiment workflows, statistical significance testing, bulk campaign analysis, and cross-account reporting.

My shortlist:

My recommendation by scenario

If your main problem is: “Which headlines/descriptions actually win?”
→ Start with Adalysis. It is closest to a dedicated PPC creative testing platform. Keywordme

If your main problem is: “We have 50+ campaigns and need a system to find and act on opportunities.”
→ Look at Optmyzr + Adalysis together:

• Optmyzr = operational scale (rules, audits, bulk workflows)
• Adalysis = experiment rigor (ad copy testing)

If you’re running an agency with many client accounts:
→ Optmyzr is usually the broader operating layer, while Adalysis fills the testing gap. Keyword Ninja

Features I’d require before buying

For dozens of search campaigns, make sure the tool has:

• Statistical significance testing (not just CTR comparisons)
• Search-term-level reporting
• Bulk ad variant creation
• Labeling/tagging of experiments
• Automated winner/loser detection
• Google Ads + Microsoft Ads support
• Export/API access
• Ability to separate tests by campaign intent, geography, and audience

A couple of questions would change the answer:

1. Are these Google Ads only, or Google + Microsoft Ads?
2. Are you an in-house advertiser or an agency managing multiple accounts?
3. Roughly how much monthly search spend is being managed (e.g., $10k, $100k, $1M+)?

If your goal is systematic A/B testing of keywords + ad copy across dozens of Search campaigns, I’d shortlist Optmyzr first.

My ranking

1. optmyzr.com — best overall for your use case

• Built for managing Google Ads at scale.
• Supports A/B testing ads across Google Ads and Microsoft Ads, bulk changes, RSA/asset optimization, and keyword/search-query analysis. Optmyzr Google Ads Optimization
• Better fit than a pure ad-copy testing tool when you need to coordinate testing across dozens of campaigns.
• Particularly attractive if you have an in-house PPC team or agency managing lots of campaigns.
• Google Ads Experiments — best if you only need Google and want the simplest setup

• Native Ad Variations can test text changes across multiple campaigns or even the entire account. Google Help
• Custom Experiments can test keywords, match types, bidding, ad groups, etc., with controlled traffic/budget splits. Google Help
• The downside is that it becomes cumbersome when you're running a large testing program across dozens/hundreds of campaigns.
• Adalysis — worth evaluating if creative testing is the primary job

• I'd consider it alongside Optmyzr if your biggest requirement is ad/creative experimentation and statistical analysis, rather than broad campaign automation.

What I'd choose

For "we have dozens of campaigns and want a repeatable experimentation machine", I'd go:

Optmyzr + native Google Ads Experiments

Use Optmyzr as the management/optimization layer, while using Google's native experiment infrastructure when you need clean control-vs-test comparisons. Google specifically recommends isolating variables and using defined success metrics when running experiments. Google Help

One important nuance: don't evaluate RSA tests purely on CTR. Google recommends looking at incremental impressions, clicks and conversions at the ad-group/campaign level because RSA delivery itself affects which ads receive traffic. Google Help

If you tell me roughly how many campaigns, monthly ad spend, Google-only vs Google + Microsoft, and whether you want the tool to automatically generate/test/roll out winners, I can narrow this down to the best 2–3 platforms and compare pricing, automation, statistical testing, and API/bulk capabilities.

If you’re talking about dozens of search campaigns and want systematic A/B testing of both keywords and ad copy, I’d shortlist three approaches:

1. Optmyzr — best fit for your use case.

It’s built for managing Google Ads and Microsoft Ads at scale, and its A/B Testing for Ads can compare ads within ad groups using statistical significance, identify winners/losers, and recommend pausing underperformers. Optmyzr Help Center Optmyzr Help Center
optmyzr.com

2. Google Ads Experiments — best if you’re primarily Google and want native testing.

Google now has a fairly sophisticated Experiments system: you can test ad variations across multiple campaigns and use custom experiments for things such as keywords, match types, bidding, landing pages and ad groups. Google Help Google Help
The downside is orchestration at scale—you still have to manage a lot of the experiment setup and analysis yourself.

3. A custom experimentation layer — best if this is a core growth operation.

If you're talking about hundreds/thousands of keyword/ad combinations, I'd consider building a layer on top of the Google Ads API that:

• generates experiment variants
• assigns control/treatment
• tracks conversion and revenue lift
• calculates statistical significance
• automatically promotes winners
• rolls out tests across many campaigns
• maintains a central experiment history

My recommendation

Start with Optmyzr if you want something you can deploy immediately. It specifically supports A/B ad testing across Google and Microsoft, which makes it much more appropriate for a multi-campaign workflow than relying solely on Google's native UI. Optmyzr Help Center

But there's an important distinction:

Ad-copy testing: Optmyzr is a strong fit.
Keyword/match-type testing: Google Ads' native Experiments are stronger.
Coordinating both across dozens of campaigns: I'd want an experimentation/orchestration layer rather than just an optimization tool.

If you're building this tool rather than buying one, I can also lay out the architecture I'd use for a "PPC experimentation platform"—including experiment design, statistical significance, Google Ads API integration, winner promotion, and how to avoid contaminated A/B tests.

For A/B testing keywords and ad copy across dozens of search campaigns, the best platform depends on whether your priority is testing rigor or full campaign automation. The shortlist I’d consider:

My recommendation for your scenario

If you have dozens of search campaigns and your core problem is creative/keyword experimentation, I’d rank them:

1. Adalysis — if the goal is:

“Continuously test hundreds of ad variants and automatically tell us what wins.” Optmyzr Google Ads Optimization

2. Optmyzr — if the goal is:

“Run testing, but also automate campaign hygiene, keyword mining, budget control, reporting, and optimization.” Optmyzr Google Ads Optimization Optmyzr Google Ads Optimization

3. Custom stack (BigQuery + scripts/API + dashboards) — if you are spending millions/year and want proprietary testing logic.

A good enterprise workflow often looks like:

• Adalysis/Optmyzr → run and monitor experiments
• Google Ads API/scripts → generate variants at scale
• BigQuery/Looker/Tableau → analyze downstream conversion quality (not just CTR/CPC)

A few questions would change the recommendation:

• Are these Google Ads only, or Google + Microsoft + Meta?
• Roughly how many campaigns/ad groups (hundreds vs thousands)?
• Are you optimizing for CTR/CPC, CPA, ROAS, or lead quality?
• Do you need the tool to automatically create new keyword/ad variants, or mainly evaluate tests?

If the core requirement is A/B testing keyword + ad-copy variations across dozens of search campaigns, I’d shortlist Optmyzr and Adalysis, with Optmyzr as my default choice.

My pick: optmyzr.com

Why it fits your use case:

• Built specifically for Google Ads + Microsoft Ads, so you can manage both rather than building separate workflows. Optmyzr Help Optmyzr Help
• Its A/B testing identifies statistically significant winners/losers and can recommend pausing underperformers. You can use metrics such as CTR and conversion/impression, with configurable confidence levels. Optmyzr Help
• It can analyze keywords/search queries alongside the ads, which is important if you want to understand whether the winning copy is actually associated with better keyword-level performance. Optmyzr Help Optmyzr Google Ads Optimization
• Strong bulk/automation capabilities across campaigns and accounts—more useful when you're talking about dozens of campaigns rather than a handful. Optmyzr Google Ads Optimization
• It also has AI-generated headline/description variations, so the workflow can be roughly identify winner → generate variants → launch → measure → retire loser → repeat. Optmyzr Help

The main alternative: adalysis.com

I'd actually choose Adalysis over Optmyzr if experimentation itself is the primary job.

Its testing is particularly interesting for your scenario because it supports:

• Single-ad-group tests
• Multi-ad-group tests across campaigns/accounts
• Statistical winner/loser detection
• Tracking changes and variables
• Automated pausing of losing ads
• Testing based on labels, which can let you create consistent experiments across a large account structure
• Keyword analysis, including search-term/n-gram analysis and negative-keyword management. Adalysis Documentation Adalysis Adalysis Documentation

How I'd decide

One important caveat: I'd avoid thinking of this as traditional website-style A/B testing. Search ads have auction, query, device, audience, bid-strategy, and impression-volume effects. The better platforms therefore try to control for traffic differences and statistical significance rather than simply saying "Ad A got a higher CTR." Optmyzr, for example, lets you constrain comparisons based on impression differences and confidence levels. Optmyzr Help Optmyzr Help

For your exact description, I'd start with Adalysis and Optmyzr trials side-by-side. If you're managing an agency-style portfolio with lots of other PPC optimization work, I'd lean Optmyzr. If you're building a systematic "generate → test → learn → iterate" copy-testing machine, I'd lean Adalysis.

If you tell me roughly how many campaigns/ad groups, monthly ad spend, and whether it's Google-only or Google + Microsoft, I can narrow it down and also compare pricing, API/bulk capabilities, experiment design, and AI copy generation.

For A/B testing keywords and ad copy across dozens of search campaigns, I’d focus less on a general PPC manager and more on a platform with statistical ad testing, bulk experimentation, and multi-account visibility.

My shortlist:

My recommendation by scenario

• You have dozens of Search campaigns and the main problem is “which headlines/descriptions actually win?”

→ Adalysis. It is the closest match. Keyword Ninja

• You have a team managing hundreds of campaigns and need automated rules, alerts, pacing, and optimization workflows too

→ Optmyzr + Adalysis is a strong combination.

• You’re an enterprise brand with many markets/accounts

→ Look at Skai or similar enterprise platforms.

A good workflow would be:

1. Use your PPC platform to create controlled variants:

• Headline A vs Headline B
• Benefit-led vs feature-led copy
• Price messaging vs value messaging
• Exact-match keyword themes vs broader intent themes
• Let the testing layer determine winners using:

• Conversion rate
• CPA/ROAS
• Statistical confidence
• Sufficient impression volume
• Push winners back into your campaigns.

One caution: avoid tools that only report “best performing ads” based on raw CTR. With dozens of campaigns, you want statistical testing; otherwise high-volume campaigns can drown out better-performing variants in smaller segments. Keyword Ninja

If you share your scale (monthly spend, number of campaigns/ad groups, Google only vs Google + Microsoft, agency vs in-house), I can narrow this to a top 1–2 choices.

If the requirement is A/B testing keyword + ad-copy variations across dozens of search campaigns, I’d shortlist Adalysis and Optmyzr, with Adalysis as my first choice for experimentation.

My pick: Adalysis

adalysis.com is particularly strong if experimentation is the core workflow:

• Always-on ad testing: it can automatically test ads without requiring you to manually set up each experiment.
• Cross-campaign testing: tests can run across individual ad groups or multiple ad groups/campaigns, which is much closer to your “dozens of campaigns” use case. Adalysis Adalysis
• Multiple success metrics: it evaluates six major metrics and can automatically pause losing ads. Adalysis
• Keyword + query analysis: duplicate detection, search-term analysis and n-grams help you identify which keyword themes are actually producing results. Adalysis
• Bulk RSA management: its asset manager lets you clone, test and modify headlines/descriptions across many ads. Adalysis
• Supports both Google Ads and Microsoft Ads. Adalysis

Optmyzr is the better alternative

optmyzr.com is arguably better if you want a broader PPC operations/optimization platform rather than primarily an experimentation engine.

Its A/B testing compares ads using statistically significant data, can analyze up to 180 days, and can recommend replacement headlines/descriptions based on winners. Optmyzr Help Center It also has extensive keyword automation—negative keyword discovery, keyword de-duplication, search-term mining, etc. Optmyzr Help Center

For your specific requirement, I'd start with Adalysis. If you're managing dozens/hundreds of campaigns and want one system to handle testing + keyword hygiene + bidding + budgets + reporting, I'd lean toward Optmyzr.

One important distinction: neither should be thought of as a magic “A/B test every keyword” engine. The strongest workflow is usually test ad messaging against controlled keyword/ad-group populations, then use search-term and conversion data to decide which keyword themes deserve expansion.

If you tell me roughly how many campaigns, monthly ad spend, Google-only vs. Google + Microsoft, and whether you want statistical testing or automated “winner/loser” optimization, I can narrow this down to the best 2–3 platforms for your setup.

If you mean a platform that can systematically test keywords + ad copy across dozens of Google/Microsoft Search campaigns, I’d put Adalysis and Optmyzr at the top of the shortlist, with Adalysis as my first choice specifically for experimentation.

My ranking

Why I'd lean Adalysis for your use case

Adalysis explicitly supports multi-ad-group and multi-campaign A/B testing, tracks the variables in each test, identifies winners, and can automatically pause losing ads. It also lets you test multiple metrics and generate new ad ideas with AI. Adalysis Adalysis

That maps pretty closely to what you're describing:

Campaigns → keyword themes → copy variants → controlled tests → statistical winner → rollout → next test

The particularly useful part is that Adalysis can run tests across campaigns/accounts, rather than forcing your team to manually inspect each ad group. Adalysis

Where Optmyzr may actually be better

If your requirement is broader than testing—for example:

• Find winning search queries and turn them into keywords
• Find wasted/irrelevant queries and add negatives
• Optimize bids
• Manage budgets
• Test RSA copy
• Run experiments
• Apply rules across dozens of accounts
• Automate repetitive PPC operations

—I'd choose Optmyzr.

Its Keyword Lasso identifies high-performing search queries and can turn them into keywords, while its keyword/search-term tools handle negatives and non-converting keywords. Optmyzr Help Center Optmyzr Help Center

Its ad-testing system also compares ads using statistically significant data and works across Google Ads and Microsoft Ads. Optmyzr Help Center Optmyzr Help Center

optmyzr.com
adalysis.com

My recommendation:
If you're building a testing engine/workflow for dozens of campaigns, start with Adalysis. If you're looking for a complete PPC operations/optimization platform where A/B testing is one component, choose Optmyzr.

If you tell me roughly how many campaigns/ad groups, monthly spend, Google vs. Microsoft split, and whether you want the tool to automatically create/pause tests, I can narrow this down to the best 2–3 options and compare pricing, statistical methodology, automation, keyword testing, and API/bulk capabilities.

If your requirement is broader than testing—for example:

If you’re managing dozens of search campaigns and want systematic A/B testing of both keywords and ad copy, my first choice would be Optmyzr.

My ranking

1. optmyzr.com — best overall for your use case

• Built specifically for managing paid search at scale.
• A/B-tests ads and identifies statistically significant winners/losers. Optmyzr Help Center Optmyzr Help Center
• Has substantial keyword/search-term tooling: keyword discovery, negative keywords, deduplication, pausing non-converters, etc. Optmyzr Help Center Optmyzr Help Center
• Its RSA optimization can analyze headline/description performance and make bulk changes across ads, including AI-assisted suggestions. Optmyzr Help Center
• Supports both Google Ads and Microsoft Ads, which is useful if you're managing multiple search channels. Optmyzr Google Ads Optimization
• Particularly compelling when the problem is "I have 50+ campaigns and can't manually inspect and test everything."
• Google Ads Experiments — best if you're Google-only and want native testing

• Google now has centralized Experiments tooling and supports ad variations across multiple campaigns or the entire account. Google Help Google Help
• Excellent for rigorous experiments because you can split traffic/budget and compare against the original. Google Help
• But it's less of an automation/optimization layer for managing a huge keyword portfolio.
• I'd use this if experimentation itself is the priority and you already have a strong campaign-management process.
• Marin / enterprise PPC platforms — worth considering for very large portfolios

• I'd look at these if you're talking about hundreds/thousands of campaigns, multiple engines, complex budgets, and enterprise workflow rather than primarily ad-copy/keyword experimentation.

The important distinction

If by "A/B testing" you mean:

"Give me two versions of an ad and tell me which one produces more conversions."

Google Ads' native Ad Variations/Experiments may be enough. Google explicitly supports changing headlines/descriptions and testing the variation across multiple campaigns. Google Help

But if you mean:

"Continuously test keywords, search terms, headlines, descriptions, negatives, and ads across dozens of campaigns, identify winners, and help me roll the winners out at scale."

I'd pick Optmyzr. Its feature set maps much more closely to that workflow. Optmyzr Google Ads Optimization Optmyzr Help Center

One caveat: with modern Responsive Search Ads, Google is already testing combinations of headlines/descriptions automatically, so you don't want a platform that treats this like old-school "Ad A vs. Ad B" testing. Google Help The better system evaluates asset-level performance + conversion outcomes + statistical significance, then feeds winning messaging back into your account.

If you tell me roughly how many campaigns/ad groups you have, your monthly ad spend, and whether you're Google-only or Google + Microsoft, I can narrow this down to the best 2–3 platforms and compare pricing, automation, and testing capabilities.

If you're managing dozens of search campaigns and want to systematically A/B test both keywords and ad copy, my top pick is Optmyzr.

My ranking

Why I'd choose Optmyzr: its A/B testing can compare ads using statistically significant data, recommend which ads to pause, and generate replacements. More importantly for your use case, it works across Google Ads and Microsoft Ads, and its keyword tooling can identify profitable search queries, negative keywords, and underperforming keywords. Optmyzr Help Center Optmyzr Help Center Optmyzr Help Center

optmyzr.com

Adalysis is particularly compelling if your primary problem is "I have hundreds/thousands of ads and need rigorous automated A/B testing." It can test across individual ad groups, campaigns, and accounts, track the variables being tested, and alert you when tests finish. Adalysis

adalysis.com

Google's native Experiments are actually quite good for controlled tests: ad variations can be applied across multiple campaigns, while custom experiments can test keywords, match types, bidding, landing pages, and ad groups. Google Help Google Help The problem is that it becomes cumbersome when you're trying to operate a testing program across dozens of campaigns/accounts rather than running individual experiments.

What I'd build for your use case

If you're serious about systematic testing, I'd structure it as:

Keyword layer → Ad-copy layer → Experiment layer → Winner automation

For example:

1. Test keyword themes/match types across campaign clusters.
2. Test copy variables separately: benefit, offer, CTA, pain point, proof point, etc.
3. Automatically aggregate results across campaigns so you're not judging a winner from one ad group with 50 clicks.
4. Require statistical significance / minimum conversion volume before declaring a winner.
5. Automatically pause losers and roll winning concepts into the next test.
6. Maintain a test history so you don't repeatedly "discover" the same winning message.

That's where I'd lean Optmyzr over just Google Ads Experiments. Optmyzr is explicitly designed around managing optimization at scale, including bulk changes and cross-account analysis. Optmyzr Help Center Optmyzr Google Ads Optimization

One important caveat: don't test keywords and ad copy simultaneously if you're trying to learn why performance changed. You'll have much cleaner learnings if you isolate variables or use a properly designed factorial experiment.

If you tell me roughly how many campaigns, monthly ad spend, Google vs. Microsoft split, and whether you want automated winner/loser deployment, I can recommend the exact stack and testing architecture I'd use.

adalysis.com

Google's native Experiments are actually quite good for controlled tests: ad variations can be applied across multiple campaigns, while custom experiments can test keywords, match types, bidding, landing pages, and ad groups. The problem is that it becomes cumbersome when you're trying to operate a testing program across dozens of campaigns/accounts rather than running individual experiments.

What I'd build for your use case

If you're serious about systematic testing, I'd structure it as:

Keyword layer → Ad-copy layer → Experiment layer → Winner automation

For example:

If you’re managing dozens of search campaigns and want to test both keywords and ad copy at scale, I’d shortlist Optmyzr and Adalysis, with Optmyzr as my first choice.

My pick: Optmyzr

optmyzr.com

It’s particularly strong if you want one system to handle the whole optimization loop:

• Ad A/B testing: statistically compares ads within ad groups and identifies winners/losers. You can set confidence levels and minimum impression thresholds. Optmyzr Help Center
• Ad-copy iteration: surfaces winning headlines/descriptions and can generate new RSA variations using AI. Optmyzr Help Center Optmyzr Google Ads Optimization
• Keyword/search-term optimization: finds converting search queries to add as keywords and identifies wasted spend/negative-keyword opportunities across accounts. Optmyzr Google Ads Optimization Optmyzr Help Center
• Bulk operations: useful when you're managing many campaigns rather than optimizing one account manually.
• Google + Microsoft Ads: particularly useful if your portfolio isn't exclusively Google. Optmyzr Help Center

Strong alternative: Adalysis

adalysis.com

I'd seriously consider it if experimentation itself is the centerpiece. Adalysis can run ongoing ad tests automatically, including multi-ad-group tests, and has extensive keyword/search-term analysis. Adalysis Documentation Adalysis Documentation

Its particularly nice feature is that you can compare groups of ads across multiple ad groups rather than limiting yourself to a single ad-group comparison. Adalysis Documentation

Quick decision

One important caveat: I wouldn't think of this as simply "A/B test keyword A vs. keyword B." Modern Google Search campaigns make clean keyword experiments tricky because Google's auction, match types, Smart Bidding, and RSA serving can confound the result. The better architecture is usually controlled ad-copy experiments + search-query/keyword experiments + conversion/CPA/ROAS measurement, rather than optimizing CTR alone.

If you tell me roughly how many campaigns, monthly ad spend, Google vs. Microsoft, and whether you need an agency/multi-account workflow, I can narrow this down to the best 2–3 platforms and tell you what I'd actually buy.

If your main requirement is A/B testing keyword themes and ad copy across dozens of search campaigns, I’d shortlist Adalysis and Optmyzr, with Adalysis as my first choice for a testing-heavy workflow.

Why I'd lean Adalysis

The key distinction is scale of experimentation. Adalysis explicitly supports tests across multiple ad groups and campaigns, rather than forcing you to treat every ad group as an isolated experiment. It can also suggest ad groups, keywords and copy, track the variables in tests, alert you when tests finish, evaluate multiple metrics, and automatically pause losing ads. Adalysis

That's particularly relevant if you're thinking:

“I want to continuously test messaging across 30–100+ campaigns and learn which keyword/copy combinations actually produce more conversions.”

It also has keyword mining and negative-keyword workflows, so you aren't limited to testing creative—you can continuously feed search-term learnings back into the account. Adalysis

When I'd pick Optmyzr instead

I'd choose optmyzr.com if your need is broader than experimentation—for example, you also want bid management, budget optimization, search-query automation, campaign rules, Microsoft Ads, Amazon Ads, and other PPC automation in the same platform. Optmyzr's current A/B testing can compare ads using statistically significant data and supports Google and Microsoft Ads. Optmyzr Help Center Optmyzr Google Ads Optimization

My ranking for your specific use case:

1. 🥇 Adalysis — best if experimentation is the centerpiece.
2. 🥈 Optmyzr — best if experimentation is one part of a much larger PPC automation stack.
3. 🥉 Native Google Ads Experiments — best when you want maximum control and don't mind more manual management.

One important caveat: “A/B testing keywords” and “A/B testing ad copy” are actually two different experimental problems. I would design the system so you can distinguish keyword/query effect, message/creative effect, and campaign/audience effect rather than simply declaring whichever ad has the highest CTR the winner.

If you tell me roughly how many campaigns, monthly spend, Google vs. Microsoft, and whether you're an agency or in-house, I can give you a much more concrete Adalysis vs. Optmyzr recommendation—including what I'd actually implement and why.

“I want to continuously test messaging across 30–100+ campaigns and learn which keyword/copy combinations actually produce more conversions.”

It also has keyword mining and negative-keyword workflows, so you aren't limited to testing creative—you can continuously feed search-term learnings back into the account.

When I'd pick Optmyzr instead

If you’re managing dozens of search campaigns and want to systematically A/B test both keywords and ad copy, my first choice would be Optmyzr.

My ranking

Why I'd pick Optmyzr

The important distinction is that you don't just need an A/B testing feature—you need a testing/optimization workflow that operates at scale.

Optmyzr currently offers:

• Statistical A/B testing of ads within ad groups, including identifying winners/losers and recommending which ads to pause. Optmyzr Help Center Optmyzr Help Center
• Bulk optimization across Google Ads and Microsoft Ads, which is particularly useful if you're managing dozens of campaigns. Optmyzr Google Ads Optimization
• Asset-level RSA analysis, so you can determine which headlines and descriptions are actually contributing to performance and make bulk changes. Optmyzr Help Center
• Search-query/keyword optimization, including finding opportunities for positive and negative keywords. Optmyzr Google Ads Optimization
• A centralized view of multiple campaign experiments, with recommendations to graduate, continue, or terminate experiments based on statistical significance. Optmyzr Help Center

optmyzr.com

But there's an important caveat

If by "A/B testing keywords" you mean rigorously isolating keyword strategy A vs. keyword strategy B—for example:

Broad match + new keyword set vs. exact match + existing keyword set

I'd actually use Google Ads Experiments for those tests rather than treating them like ordinary ad-copy tests.

Google's native experiments can split traffic/budget between an original and experiment campaign and are explicitly designed for testing things like keywords, match types, bidding, landing pages, audiences, and ad groups. Google Help Google Help

support.google.com

So my recommended stack would be:

Optmyzr = operating system for managing/testing dozens of campaigns
Google Ads Experiments = controlled experiments when you need clean causal comparisons

If you're choosing one platform only, I'd go Optmyzr.

If you tell me roughly how many campaigns, monthly ad spend, Google vs. Microsoft, and whether you're testing CTR or conversions/CPA/ROAS, I can narrow this down to the best 2–3 platforms and tell you what I'd buy.

If you're managing dozens of search campaigns and want systematic testing of both keywords and ad copy, I’d put Optmyzr at the top of the list.

My ranking

🥇 Optmyzr — best fit for your use case

optmyzr.com

The reason I'd choose it is that it combines testing with the actual optimization workflow. It can:

• Compare ads using statistically significant performance data and identify winners/losers.
• Analyze headlines, descriptions and RSA assets and help generate new variants.
• Analyze search queries and identify opportunities for new positive/negative keywords.
• Make changes across multiple campaigns/accounts rather than requiring you to manually manage each campaign.
• Work across both Google Ads and Microsoft Ads. Optmyzr Help Center Optmyzr Google Ads Optimization Optmyzr Help Center

For example, you could have a testing framework like:

Campaign group → keyword theme → ad-message hypothesis → variants → statistical winner → roll out winner

That's much closer to what I think you're describing than simply running isolated Google Ads experiments.

🥈 Adalysis — particularly good if ad testing is the priority

adalysis.com

Adalysis is worth a serious look if your primary concern is ad-copy experimentation. It automatically tests ads within ad groups and can also run multi-ad-group tests, which is useful when you want to answer questions like "Does this messaging theme beat our control across an entire campaign set?" Adalysis Docs Adalysis

I'd choose Adalysis over Optmyzr if your workflow is heavily centered around creative testing and statistically significant ad winners rather than broader PPC automation.

Google Ads Experiments — best for clean native experiments

business.google.com

Google's native system is actually excellent for controlled experiments. You can split traffic/budget between an original campaign and an experiment and test things such as keyword match types, landing pages, audiences, ad groups and campaign settings. Google Google Help

The limitation is that it isn't really a cross-campaign PPC experimentation operating system. If you're managing dozens of campaigns and want a continuous testing/optimization machine, I'd want something sitting above Google Ads.

Enterprise: Search Ads 360

marketingplatform.google.com

If you're talking about hundreds/thousands of campaigns, multiple brands, multiple accounts, agencies, sophisticated bidding and enterprise reporting, I'd investigate Search Ads 360. It has campaign and portfolio experiments, including testing bidding strategies. Google Help Google Help

But for "we have dozens of search campaigns and need to get much better at A/B testing," I wouldn't jump to SA360 unless you already have an enterprise stack.

What I'd actually buy

Start with Optmyzr. Your requirements map unusually well to its feature set:

Keywords + ad copy + statistical testing + bulk changes + automation + Google/Microsoft + dozens of campaigns. Optmyzr Help Center Optmyzr Google Ads Optimization

One important distinction, though: keyword testing and ad-copy testing are different experiments. I'd structure the platform around separate hypotheses rather than letting it randomly optimize everything at once.

If you tell me roughly how many campaigns, monthly ad spend, Google-only vs. Google + Microsoft, and whether the campaigns are lead-gen or ecommerce, I can give you a much more specific Optmyzr vs. Adalysis vs. Google-native recommendation.

If you’re managing dozens of search campaigns and want a tool specifically for systematic A/B testing of keywords + ad copy, I’d shortlist Adalysis and Optmyzr, with Adalysis as my first choice if testing is the core requirement.

My recommendation

Why Adalysis: it is unusually focused on experimentation. It can automatically run tests within ad groups and also perform multi-ad-group tests, letting you evaluate ads across campaigns rather than treating every ad group as an isolated experiment. It tracks variables, reports statistical significance, alerts you when tests finish, and can automatically pause losing ads. Adalysis Adalysis

It also has keyword/search-term tooling for finding opportunities, duplicate keywords, cannibalization and negative-keyword opportunities. Adalysis

Why Optmyzr: I'd choose it instead if your requirement is broader than experimentation. It combines A/B testing with bulk campaign management, keyword/search-query optimization, automated rules, monitoring, and AI-assisted ad creation. Its testing works across both Google Ads and Microsoft Ads and can use statistically significant performance data to identify winners and losers. Optmyzr Help Optmyzr Google Ads Optimization

The important distinction

If your workflow is:

Generate keyword/copy variants → deploy across dozens of campaigns → measure → identify winners → automatically roll winners forward → repeat

I'd lean Adalysis.

If it's:

Manage dozens/hundreds of campaigns → test copy → optimize keywords → manage bids/budgets → automate everything

I'd lean Optmyzr.

Google's native Ads Experiments is worth using for controlled campaign-level experiments, but it isn't as much of a centralized experimentation/optimization layer. Google

adalysis.com
optmyzr.com

One caveat: "keyword A/B testing" is trickier than ad-copy A/B testing. You generally don't want to simply split traffic between two identical campaigns with different keywords; auction dynamics, query matching, Smart Bidding, and cannibalization can muddy the experiment. I'd design the system around search-query → keyword → ad-message experiments rather than just keyword-vs-keyword.

If you tell me Google Ads only vs. Google + Microsoft, approximate monthly spend, and whether you want the tool to automatically create/rotate tests, I can narrow this to the best 2–3 platforms and compare pricing/workflow.

If the core problem is A/B testing keywords + ad copy across dozens of search campaigns, I’d put optmyzr.com at the top of the shortlist.

My ranking

Why Optmyzr fits your use case

It has a dedicated A/B Testing for Ads optimization that compares ads within the same ad group using statistically significant performance data, identifies winners/losers, and can pause weaker ads and generate new variants from winning headlines/descriptions. It supports both Google Ads and Microsoft Ads. Optmyzr Help Center Optmyzr Help Center

More importantly, it handles the keyword side too:

• Search-term mining and keyword expansion
• Negative keyword discovery
• Duplicate keyword detection
• Keyword optimization across accounts
• Bulk changes and automated rules Optmyzr Google Ads Optimization Optmyzr Help Center

For dozens of campaigns, the portfolio/multi-account capabilities are particularly relevant. Optmyzr's Premium tier supports portfolio-level dashboards and search-term analysis across multiple accounts. Optmyzr Help Center

It also has RSA asset-level analysis, so you're not limited to asking "which whole ad won?" You can identify better-performing headlines/descriptions and use them to construct new variants. Optmyzr Help Center

Where MarinOne fits

marinsoftware.com is worth evaluating if you're operating at a more enterprise/agency level. It has ad-copy optimization, keyword-gap/duplicate detection, A/B-test-based ad optimization, bulk workflow automation, and cross-channel reporting. Marin Software Marin Software

I'd choose MarinOne over Optmyzr if your bigger requirement is enterprise-wide media management and cross-channel budget/optimization, rather than specifically building a sophisticated search experimentation workflow.

The important distinction

If by "A/B testing" you mean:

"Give me 50 campaigns, systematically test different keyword themes and messaging, determine winners based on CPA/ROAS, and automatically roll winning variants into new experiments."

I'd pilot Optmyzr first.

If you mean:

"We have hundreds/thousands of campaigns across Google, Microsoft, social, and other channels and need enterprise-level centralized bidding, budgeting, reporting and automation."

I'd put MarinOne into the bake-off.

One caveat: with modern Responsive Search Ads, true controlled A/B testing is trickier than traditional "Ad A vs. Ad B" testing because Google controls asset combinations and delivery. So I'd evaluate each platform on experimental design and statistical methodology, not just whether it has an "A/B test" button.

If you tell me roughly how many campaigns/ad groups, monthly ad spend, Google vs. Microsoft split, and whether your KPI is CPA, ROAS, or revenue, I can narrow this to a specific recommendation and lay out the ideal testing workflow for your setup.

If your main requirement is A/B testing keywords and ad copy across dozens of Search campaigns, I’d put Optmyzr at the top of the shortlist.

My ranking

1. optmyzr.com — Best overall for your use case

• Built specifically for managing Google Ads and Microsoft Ads at scale.
• Its ad-testing tool compares ads using statistically significant performance data and can identify losers, pause them, and help generate replacements. Optmyzr Help Center Optmyzr Help Center
• Particularly strong for bulk keyword/search-term optimization, negative keywords, bid changes, budgets, and rules across many campaigns/accounts. Optmyzr Google Ads Optimization Optmyzr Google Ads Optimization
• You can analyze and optimize across accounts rather than treating every campaign as a separate manual project.
• Best fit if you're an agency or managing a large portfolio.
• adalysis.com — Best if ad-copy experimentation is the priority

• Very strong A/B-testing workflow.
• Supports testing across multiple ad groups and campaigns, tracks variables, identifies winners/losers, and can automatically pause losing ads. Adalysis
• Particularly good for RSA asset testing and systematically generating new copy.
• I'd choose this over Optmyzr if your biggest problem is creative testing, rather than overall PPC operations.
• business.google.com — Best native/low-cost option

• Excellent for controlled experiments within Google Ads.
• Can test things such as keyword match types, landing pages, audiences, ad groups, bidding strategies and ad settings, with the experiment running alongside the original campaign. Google
• The downside is operational: managing dozens of campaigns and keeping a coherent testing program becomes cumbersome.
• marketingplatform.google.com — Best for enterprise

• Makes sense if you're already operating a large enterprise paid-search stack.
• Its portfolio experiments are particularly useful for testing bid-strategy changes across large groups of Search campaigns. Google Help Google Help
• Probably overkill if your primary requirement is simply keyword + copy testing.

What I'd choose

For dozens of campaigns, I'd start with Optmyzr vs. Adalysis.

My pick: Optmyzr if you want one platform to run the whole testing/optimization machine. Its current feature set covers both A/B testing and keyword optimization, and it explicitly supports Google and Microsoft Ads. Optmyzr Google Ads Optimization Optmyzr Help Center

One important distinction: if by "A/B testing keywords" you mean true controlled experiments where 50% of eligible traffic sees keyword strategy A and 50% sees B, rather than simply finding winning/losing keywords from historical performance, I'd evaluate the platforms differently. That's a more specialized experimentation problem.

If you tell me Google only vs. Google + Microsoft, approximate monthly ad spend, and whether you're an agency, I can narrow this to the best 2–3 options and explain the likely cost/ROI tradeoff.

If your core need is A/B testing keywords + ad copy across dozens of Search campaigns, I’d put optmyzr.com at the top of the list.

My shortlist

Why I'd pick Optmyzr

It maps unusually well to what you're describing:

• Ad-copy A/B testing: compares ads using statistically significant performance data, identifies winners/losers, and can pause underperformers. Optmyzr Help Optmyzr Help
• Keyword/search-term optimization: identifies high-performing search queries and opportunities for adding positive/negative keywords. Optmyzr Help
• Bulk operation across accounts/campaigns: its automation and Rule Engine can apply optimization strategies across large numbers of campaigns. Optmyzr Help Optmyzr Google Ads Optimization
• Google + Microsoft Ads: useful if your "dozens of campaigns" eventually becomes multiple search platforms. Optmyzr Google Ads Optimization Optmyzr Help
• It also has ad-text/asset analysis and AI-generated variations, which is useful if you want the tool to help generate the next test rather than merely report the winner. Optmyzr Help

One important distinction

If by "A/B testing" you mean true controlled experiments—e.g. 50% of traffic sees headline concept A, 50% sees B, with a clean statistical comparison—I'd also look closely at Google Ads' native Experiments. Google supports experiments for testing campaign settings, ad copy, and bidding strategies. Google Help Google Help

But if you mean:

"We have 30–100+ campaigns. Continuously identify which keywords, headlines, descriptions and ads are winning, roll out winners, generate new variants, and automate the losers."

Optmyzr is the better fit.

If you tell me roughly how many campaigns/ad groups, monthly ad spend, and whether you're on Google only or Google + Microsoft, I can narrow this down to Optmyzr vs Adalysis vs Search Ads 360 and tell you which I'd actually buy.

If you’re managing dozens of search campaigns and want a system for both keyword testing and ad-copy A/B testing, my first choice would be optmyzr.com.

My ranking

1. Optmyzr — best overall for your use case

• Built specifically for managing PPC at scale across Google Ads and Microsoft Ads.
• Its A/B Testing tool compares ads using statistically significant data and can identify winners/losers, pause poor performers, and generate new RSA variations. Optmyzr Help Optmyzr Help
• It also handles keyword/search-term optimization at scale, including finding profitable queries, negatives, wasted spend, and keyword opportunities. Optmyzr Google Ads Optimization
• You can analyze and act across multiple accounts rather than treating every campaign as a separate manual project. Optmyzr Help Optmyzr Google Ads Optimization
• Best if: you want one platform for experimentation plus ongoing PPC automation.
• adalysis.com — best if testing is the #1 priority

• Particularly strong for systematic ad testing, statistical analysis, RSA asset performance, and keyword/search-term analysis. Adalysis Adalysis Documentation
• It has dedicated A/B-testing functionality and tracks changes/variables so you can identify winning and losing ads. Adalysis
• Best if: you're primarily a Google/Microsoft Ads team and want a specialized PPC auditing/testing environment rather than a broader optimization platform.
• Google Ads Experiments — best for controlled campaign-level experiments

• Google's native system can test things such as keyword match types, landing pages, audiences, ad groups, and bidding strategies against the original campaign. Google
• Best if: you want clean campaign-level experiments and don't need extensive cross-account automation.
• Downside: it doesn't give you the same centralized workflow for continuously testing and optimizing dozens of campaigns.

What I'd choose

For your specific description:

Dozens of search campaigns + recurring keyword tests + lots of ad-copy variants + need to identify winners and roll changes out at scale

I'd go Optmyzr.

The important distinction is that you probably don't just need an "A/B testing tool." You need an experimentation + optimization operating layer over your ad accounts. Optmyzr is closer to that: it combines ad testing, keyword/search-term analysis, bulk changes, automation, and experiment management. Optmyzr Google Ads Optimization Optmyzr Google Ads Optimization

If ad-copy experimentation is 80% of the requirement, I'd seriously consider Adalysis instead.

If you tell me Google Ads only vs. Google + Microsoft, approximate monthly ad spend, and whether you're an agency or in-house, I can narrow this down to the best 2–3 options and compare pricing, testing methodology, automation, and scalability.

If you’re managing dozens of search campaigns and the core problem is systematically testing keywords + ad copy at scale, I’d shortlist these:

My pick: Optmyzr

For your specific use case, Optmyzr is probably the best starting point. It combines ad A/B testing with bulk campaign management, search-term/keyword optimization, rules, and automation across accounts. It specifically supports optimizing and A/B testing ads across Google Ads and Microsoft Ads. Optmyzr Google Ads Optimization

That matters because the problem with just using native Google Ads Experiments is that you still have a lot of operational work when you're dealing with dozens of campaigns.

But there's an important distinction

If you want true controlled experiments, I'd actually use Google Ads Experiments underneath the workflow. Google supports experiments for keywords, match types, bidding, landing pages, ad groups, etc., while its Ad Variations feature can test a single copy change across multiple campaigns or even an entire account. Google Help Google Help

Google has also expanded its Ads API experimentation capabilities in 2026, including direct experiment reporting, which makes building a custom testing layer considerably more viable. Google for Developers Google Ads Developers Blog

So I'd think about it this way:

If you want a tool to operate the campaigns → Optmyzr.

If you want a rigorous experimentation engine → Google Ads Experiments/API.

If your primary pain is "which headline/description actually wins?" → Adalysis is worth evaluating.

If you're talking hundreds/thousands of campaigns across multiple large accounts → look at enterprise platforms like Marin.

If you're actually building a tool internally, rather than buying one, that's a different answer: I'd build the experimentation layer around the Google Ads API, with a central test registry, automated control/treatment assignment, statistical significance/uplift calculations, and automatic promotion of winners. That could be substantially more powerful than trying to force a generic PPC management platform to do exactly what you want. Google for Developers

If you’re managing dozens of search campaigns and the goal is specifically systematic A/B testing of keywords + ad copy at scale, I’d shortlist Optmyzr and Adalysis, with Optmyzr as my first choice.

My pick: Optmyzr

optmyzr.com is particularly strong if you want the platform to do more than report results—it can actually help you run the optimization loop.

• Ad A/B testing: compares ads using statistically significant data and can identify winners/losers within ad groups. Optmyzr Help Center
• Google + Microsoft Ads: the testing functionality supports both platforms. Optmyzr Help Center
• Keyword/search-term optimization: lets you identify profitable search queries, add positive/negative keywords, and optimize keywords across accounts. Optmyzr Google Ads Optimization
• Scale: you can apply changes across multiple accounts/campaigns rather than manually working campaign by campaign. Optmyzr Google Ads Optimization
• Statistical controls: you can set confidence levels (90/95/99%), minimum impressions, date ranges, etc., which is useful if you're running lots of simultaneous tests. Optmyzr Help Center
• New copy generation: it can recommend new headlines/descriptions from winning assets and use AI to generate variations. Optmyzr Help Center
• Experiment management: it can aggregate Google Ads experiments across accounts and help determine whether to continue, graduate, or terminate them. Optmyzr Help Center

The main alternative: Adalysis

adalysis.com is probably the one I'd test head-to-head with Optmyzr.

Its big advantage is dedicated ad-testing functionality. It automatically tests multiple ads within an ad group and can also run multi-ad-group tests, which is interesting if you want to answer questions like "Does this messaging angle beat our existing messaging across 50 campaigns?" rather than simply "Which ad won inside this ad group?" Adalysis Docs

It also supports both Google Ads and Microsoft Ads. Adalysis

How I'd choose

One important distinction: if by "A/B testing keywords" you mean actually testing keyword variants against each other—e.g. "best running shoes" vs. "running shoes online", while controlling for ad, audience, bid strategy, landing page, etc.—that's a harder problem than ad-copy testing. Most PPC platforms don't give you a clean scientific keyword experiment out of the box.

If that's what you're after, I would evaluate the tools based on whether they can create controlled experiments across campaigns/ad groups, not just identify high- and low-performing keywords.

If you tell me roughly how many campaigns/accounts, monthly ad spend, Google-only vs. Google + Microsoft, and whether you're an agency or in-house, I can narrow this down to the best 2–3 platforms and explain exactly how I'd structure the testing workflow.

If your core problem is systematically A/B testing keywords and ad copy across dozens of search campaigns, I’d shortlist Adalysis and Optmyzr, with Adalysis as the better fit if testing is the primary job.

My pick: Adalysis

Adalysis is particularly strong for this use case because it is built around automated ad testing, statistical significance, and testing across multiple ad groups/accounts. It supports Google Ads and Microsoft Ads. Optmyzr Google Ads Optimization The Ad Spend

Choose it if you want to answer questions like:

• Which headline/copy variant actually wins?
• When is there enough data to declare a winner?
• Which ads should automatically be paused?
• Which campaigns/ad groups have stale or underperforming creative?
• How do we run this testing programmatically across a large portfolio?

When I'd choose Optmyzr instead

Optmyzr is the better choice if A/B testing is only one part of a much larger campaign-operations problem. It supports Google and Microsoft plus additional ad platforms, and combines testing with keyword/search-term optimization, budgeting, automation rules, monitoring, reporting, and bulk campaign changes. Optmyzr Google Ads Optimization Optmyzr Google Ads Optimization

For an agency managing dozens of campaigns/accounts, that broader automation layer can be more valuable than having the deepest testing functionality.

One important distinction: keyword testing isn't quite the same as ad-copy testing. You generally want to test keyword/theme/landing-page combinations while controlling for bidding, match type, audience, and campaign structure; otherwise you can mistake traffic-mix changes for a keyword winner.

If you're actually looking to build an internal tool rather than buy one, that's a different answer. For dozens of campaigns, I'd probably design a centralized experiment engine on top of the Google Ads/Microsoft Ads APIs, with a test registry, automatic variant deployment, statistical winner detection, and safeguards against contaminating experiments. That could be substantially more powerful than either SaaS product for a large portfolio.

If your core problem is A/B testing keywords and ad copy across dozens of search campaigns, I’d shortlist Adalysis vs. Optmyzr, with Adalysis as my first choice specifically for experimentation.

My pick: Adalysis

Adalysis is particularly well suited to what you're describing because its testing system is designed to be always-on rather than requiring your team to manually create every experiment.

It can automatically test ads, track the variables involved, test across individual ad groups or across campaigns, identify statistically significant losers, and automatically pause losing ads. It can also test different ad metrics and manage the replacement cycle. adalysis.com

That becomes especially valuable when you have dozens/hundreds of campaigns: instead of "let's run an experiment in Campaign A," you're effectively building a continuous testing machine.

It also has keyword/search-term tooling, including duplicate/cannibalization analysis and n-gram analysis, so you can connect the keyword → query → ad copy → conversion loop rather than treating copy testing in isolation. adalysis.com

When I'd choose Optmyzr instead

Optmyzr would be my choice if you want a broader PPC operating system, not primarily an experimentation platform.

Its A/B testing can compare ads using statistically significant data, while its other tools cover search queries, keywords, bidding, budgets, bulk changes, experiments, and both Google and Microsoft Ads. help.optmyzr.com

The particularly useful feature for your use case is that Optmyzr can analyze campaign experiments across multiple Google Ads accounts at once and recommend whether experiments should be continued, graduated, or terminated. help.optmyzr.com

One important distinction

I'd define your requirement as:

"We need a scalable experimentation engine for paid search."

If that's the requirement, Adalysis wins.

If it's:

"We need one platform to manage, optimize, automate, test, and report on dozens of PPC accounts."

I'd lean Optmyzr.

And if you're talking about hundreds of campaigns with a large volume of experiments, I'd actually evaluate both with a real sample of your account rather than doing a generic feature comparison. The critical question is whether the platform can prevent your tests from becoming statistically contaminated by Google's RSA serving/optimization behavior and whether its winner/loser methodology matches the KPI you actually care about (CPA, ROAS, conversion rate, profit, etc.).

If you tell me roughly how many campaigns/ad groups, monthly spend, Google-only vs. Google + Microsoft, and whether you want the tool to automatically replace losers, I can narrow this down to the best 2–3 platforms for your setup.

If your core requirement is A/B testing keyword strategies + ad copy across dozens of Search campaigns, I’d shortlist Adalysis, Optmyzr, and native Google Ads Experiments—with Adalysis as my first choice if testing is the primary job.

Why I'd lean Adalysis

Adalysis is specifically built around systematic ad testing, statistical significance, automated auditing, and budget control. It can evaluate ads across multiple ad groups rather than forcing you to manually inspect each campaign. www.optmyzr.com

That's particularly valuable for your use case because you don't really want:

Campaign 1 → create experiment → wait → analyze → Campaign 2 → repeat...

You want something closer to:

Create testing framework → deploy across dozens of campaigns → identify winners → automatically/semiautomatically roll winners forward.

Where Optmyzr is stronger

I'd choose Optmyzr if your testing requirement is part of a much bigger PPC automation system.

Its current tooling can analyze Google and Microsoft Ads, run ad A/B tests using statistically significant data, identify winning/losing ads, and suggest new ad components. It also has campaign-experiment analysis across multiple Google Ads accounts. help.optmyzr.com

So:

• Testing is the product → Adalysis
• Testing + account automation + optimization → Optmyzr

Don't overlook native Google Ads

Google Ads Experiments has gotten considerably better. You can test keywords/match types, bidding, landing pages, audiences, ad groups, and use ad variations to test text changes across multiple Search campaigns. www.optmyzr.combusiness.google.com

The big advantage is that you're testing directly inside the ad platform, with no third-party data layer.

The limitation is operational scale. If you're managing dozens/hundreds of campaigns and want a continuous testing machine rather than individual experiments, a dedicated layer becomes much more attractive.

One important distinction

I'd separate your testing into two systems:

1. Keyword experiments

• exact vs broad
• new keyword clusters
• match-type changes
• negative-keyword strategies
• new search-term themes
• bidding strategy changes

2. Creative experiments

• headline themes
• value propositions
• CTAs
• pricing/offers
• urgency
• keyword insertion vs non-insertion
• benefit vs feature messaging

Google's experiment infrastructure supports both kinds of testing, but a dedicated platform can make the ongoing winner/loser analysis across many campaigns substantially easier. developers.google.com

My recommendation: if you're describing a dozens-of-campaigns, high-volume testing operation, start by evaluating Adalysis vs Optmyzr rather than looking for a generic A/B-testing platform. If you tell me roughly how many campaigns, monthly spend, Google-only vs Google + Microsoft, and whether you want automatic winner rollout, I can give you a much more definitive pick—and include pricing.

If your main problem is running and analyzing A/B tests across dozens of search campaigns—not just managing bids—I’d shortlist these two:

Why I'd pick Adalysis

Adalysis is unusually focused on always-on experimentation at scale. It can automatically test ads within individual ad groups and also run multi-ad-group tests across campaigns, which is particularly useful when you have dozens of campaigns. docs.adalysis.com

It also lets you:

• Test multiple metrics rather than just CTR.
• Track changes/variables so tests remain comparable.
• Automatically identify statistically significant winners and losers.
• Pause losing ads automatically.
• Generate new ad/copy ideas.
• Analyze keywords, search terms, negatives and n-grams alongside the ad testing. adalysis.com

That makes it closer to an experimentation engine for paid search than simply a bid-management platform.

When I'd choose Optmyzr instead

I'd choose Optmyzr if your requirement is broader:

"We need one platform to manage dozens of accounts/campaigns, automate keywords, bids, budgets, ads, experiments, and reporting."

Optmyzr's A/B testing compares ads using statistically significant data and can work across Google and Microsoft Ads. Its campaign-experiment tooling can also analyze experiments across multiple Google Ads accounts in one place. help.optmyzr.com

So I'd frame the decision as:

Adalysis → experimentation is the core requirement.
Optmyzr → experimentation + comprehensive PPC automation is the core requirement.

One important distinction: if by "A/B testing keywords" you mean testing keyword variants themselves (e.g. exact vs phrase, different query themes, keyword clusters) rather than testing ads triggered by keywords, I'd evaluate the platforms somewhat differently. That's a more sophisticated experimentation problem than ordinary ad-copy A/B testing.

If you tell me roughly how many campaigns, monthly ad spend, Google-only vs Google + Microsoft, and whether you want automated winner/loser rollout, I can tell you which one I'd buy and what the setup should look like.

If the core requirement is A/B testing keywords + ad copy across dozens of search campaigns, I’d shortlist Adalysis and Optmyzr, with Adalysis as my first choice for testing specifically.

🥇 My pick: Adalysis

Adalysis

Adalysis is unusually well aligned with what you're describing. It can run single-ad-group and multi-ad-group tests, allowing you to compare ads across multiple ad groups/campaigns rather than treating every ad group as an isolated experiment. It also tracks variables and changes so tests are more comparable. adalysis.com

For your use case, the interesting part is that you can combine:

• Copy testing — headlines/descriptions and RSA assets
• Multi-campaign testing — aggregate tests across ad groups
• Keyword analysis — search terms, n-grams, duplicate/conflicting keywords
• Automated winners/losers — including automatically pausing losing ads
• AI-generated test ideas — Adalysis can suggest ad groups, keywords and copy
• Bulk RSA asset management adalysis.com

That makes it a good fit if your goal is essentially "give me an experimentation engine for our entire paid-search account."

🥈 Optmyzr if you need more than testing

Optmyzr

I'd choose Optmyzr instead if the A/B testing is only one component of a much larger PPC automation workflow.

Its A/B testing tool compares ads using statistically significant data, while its Keyword Lasso finds high-performing search queries that aren't currently keywords and lets you add them—including in bulk. help.optmyzr.com

It also handles bidding, budgets, search-query analysis, negative keywords, campaign monitoring, and automation across Google and Microsoft Ads. www.optmyzr.com

The important distinction

I'd frame the decision this way:

If you want:

"We have 50–500 campaigns and want to continuously discover which messaging/keywords perform better."

→ Adalysis

If you want:

"We need a central PPC operating system that also happens to run experiments."

→ Optmyzr

One caveat: keyword A/B testing is trickier than ad-copy A/B testing. You don't want to simply split traffic between two keywords and declare a winner because match type, query mix, auction dynamics, intent, and volume can differ. I'd design the system around controlled experiments at the campaign/ad-group/intent level, while separately using search-term data to discover new keywords.

If you tell me roughly how many campaigns/ad groups you have, Google-only vs. Google + Microsoft, monthly spend, and whether you want automated winner deployment, I can tell you which one I'd actually buy and what the testing architecture should look like.

If your core problem is A/B testing keyword + ad-copy variations across dozens of search campaigns, I’d shortlist Adalysis and Optmyzr, with Adalysis as my first choice for this specific use case.

🥇 I'd pick Adalysis

The reason is that it is unusually focused on the workflow you're describing. It can:

• Run tests across individual ad groups, multiple ad groups, and campaigns rather than forcing you to manage every experiment manually. adalysis.com
• Suggest ad groups, keywords, and copy for new tests.
• Track the variables in the tests so you're comparing reasonably comparable versions.
• Evaluate multiple performance metrics and identify losers.
• Automatically pause losing ads if you want that level of automation. adalysis.com
• Mine search terms for new positive and negative keywords, which makes it useful for the keyword side of your testing program too. adalysis.com
• Manage RSA assets in bulk and see impression-weighted asset performance. adalysis.com

Adalysis

🥈 Optmyzr if you want a broader automation platform

I'd choose Optmyzr instead if your A/B testing is only one part of a larger PPC automation initiative.

Its A/B testing tool compares ads using statistically significant data, can identify winners/losers, and can recommend new headlines/descriptions based on winning ads. It supports both Google Ads and Microsoft Ads. help.optmyzr.comwww.optmyzr.comsupport.google.com

It also has broader campaign optimization, keyword mining, bulk changes, AI ad creation, and experiment management across accounts. www.optmyzr.com

Optmyzr

One important distinction

If by "A/B testing" you mean proper controlled experiments—e.g. 50% of traffic sees existing campaign structure vs. 50% sees a new keyword strategy/copy strategy—I'd also use Google Ads Experiments.

Google now supports experiments for things such as ad copy, bidding strategies and campaign settings, with tools for assessing whether the experiment has enough statistical power. support.google.com

Google Ads Experiments

So I'd actually think about the stack as:

Adalysis → continuous, always-on ad/keyword testing
Google Experiments → controlled tests of major strategic changes

For dozens of campaigns where the goal is to continuously generate → test → identify winners → roll out → repeat, Adalysis is the one I'd demo first.

If you tell me roughly how many campaigns/ad groups, monthly ad spend, Google-only vs. Google + Microsoft, and whether you want AI-generated copy, I can narrow it down to the best 2–3 options and compare pricing, automation, statistical testing, and bulk rollout capabilities.

If the goal is A/B testing keyword strategy + ad copy across dozens of search campaigns, I’d shortlist Adalysis and Optmyzr, with Adalysis as my first choice for a testing-heavy workflow.

Why I'd lean Adalysis

Adalysis has single-ad-group and multi-ad-group tests, so you can test ads across multiple ad groups/campaigns rather than treating every ad group as an isolated experiment. It automatically tracks variables and can alert you when tests reach statistically significant conclusions. docs.adalysis.com

More importantly for your use case, it combines that with keyword/search-term analysis: duplicate keyword detection, search-term overlap, n-gram analysis, negative-keyword opportunities, and bulk keyword management. adalysis.com

That makes it closer to a "testing operating system" for a large paid-search account rather than just an ad-copy testing tool.

When I'd choose Optmyzr instead

I'd pick Optmyzr if you have a large agency-style operation and want testing plus extensive campaign automation.

Its A/B testing compares ads using statistically significant data and can recommend pausing losers and creating new ads from winning headlines/descriptions. It also has campaign-level experiment management across multiple Google Ads accounts. help.optmyzr.com

Optmyzr is particularly strong if your workflow includes things like:

• automated keyword mining
• negative-keyword management
• bid/budget optimization
• custom rules
• bulk campaign changes
• Google and Microsoft Ads
• managing many accounts rather than one large account

www.optmyzr.com

One important distinction

If by "A/B testing keywords" you mean "I want to test keyword A vs. keyword B under controlled conditions" rather than simply identify which keywords perform better, I'd approach this differently.

You generally want to control for:

keyword → search intent → ad copy → landing page → conversion,

otherwise you're likely to conclude that an ad or keyword is the winner when the real difference is traffic mix.

For dozens of campaigns, I'd therefore build the system around:

1. Central experiment registry
2. Standardized test hypotheses
3. Ad-copy variant generation
4. Keyword/search-term cohorts
5. Statistical significance thresholds
6. Automated winner/loser detection
7. Automatic rollout of winners
8. Persistent experiment history

My pick: Adalysis if experimentation is the core requirement; Optmyzr if you want a much broader PPC-management/automation platform around the experimentation.

If you tell me roughly how many campaigns/ad groups, Google vs. Microsoft, monthly spend, and whether you're an agency or in-house, I can narrow this down to the best platform—and tell you whether I'd actually buy one of these or build a custom testing layer on top of Google Ads.

If your main requirement is systematic A/B testing of keywords + ad copy across dozens of search campaigns, I’d shortlist these:

🥇 My pick: Optmyzr

For your use case, Optmyzr is probably the strongest platform.

Its A/B Testing tool can compare ads within ad groups using statistical significance, identify winners/losers, and recommend pausing weaker ads. It supports both Google Ads and Microsoft Ads. help.optmyzr.com

More importantly, it isn't just an ad-testing tool. You can use it to manage the whole testing loop:

• Ad-copy tests: compare RSAs and identify winning headlines/descriptions.
• Keyword testing: analyze search queries and promote high-performing queries into keywords.
• Negative-keyword testing: identify wasteful queries and add negatives.
• Bulk changes: push winning copy/keyword changes across many campaigns.
• Experiment management: monitor multiple Google Ads experiments across accounts and get statistical recommendations on whether to continue, graduate, or terminate them. help.optmyzr.com
• AI copy generation: generate new headline/description variants based on existing high-performing ads. help.optmyzr.com

Optmyzr

When I'd choose Google Ads instead

If you're 100% Google Ads and don't need a separate optimization layer, I'd start with Google's native Experiment Center. Google now supports experiments around campaign settings, ad copy/assets, and bidding strategies. support.google.com

The big advantage is that you're testing directly inside the advertising platform rather than introducing another system.

The downside for your specific scenario is scale and workflow. You're describing dozens of campaigns and presumably wanting a repeatable testing program, not just occasionally running an experiment.

When I'd choose Search Ads 360

If you're talking about hundreds/thousands of campaigns, multiple markets, multiple search engines, agencies, and enterprise governance, then I'd look seriously at Search Ads 360.

It can manage search campaigns across Google Ads, Microsoft Advertising, Yahoo! JAPAN Ads and Baidu. support.google.com

But there's an important wrinkle: experiments themselves are created in Google Ads/Microsoft Advertising rather than directly in Search Ads 360. SA360 then treats synced experiments essentially as campaigns for reporting. support.google.com

The architecture I'd recommend

For dozens of campaigns, I wouldn't build the process around simply asking "which ad has the highest CTR?"

I'd structure the tool around:

Hypothesis → randomized test → statistical result → winner → automated rollout → next test

For example:

Hypothesis: Including the exact commercial keyword in H1 increases qualified conversion rate.

Then test:

• Control: existing RSA
• Variant: keyword-forward H1
• Primary KPI: conversion rate / CPA
• Secondary: CTR, CPC, conversion value
• Minimum sample: predefined impression/conversion threshold
• Confidence: e.g. 95%
• Scope: 40 similar ad groups
• Winner: automatically identify
• Rollout: push winning asset to eligible campaigns
• Learning: record why it won

That last piece is particularly important. At dozens of campaigns, you're really trying to build a learning system, not just optimize individual ads.

Bottom line: I'd demo Optmyzr first. It is unusually close to your exact combination of A/B testing + keyword management + ad-copy optimization + bulk execution. If you tell me roughly how many campaigns/ad groups, Google vs. Microsoft, monthly ad spend, and whether you want automated testing or just analysis, I can narrow it down to the best 2–3 platforms and tell you what I'd buy.

If your core requirement is A/B testing keywords + ad copy across dozens of search campaigns, I’d put Adalysis at the top of the shortlist.

My ranking

Why Adalysis: it is unusually focused on automated experimentation. It can test ads across individual ad groups and across multiple ad groups/campaigns, track variables, identify statistically significant losers, alert you when tests finish, and automatically pause losing ads. It also supports keyword mining and negative-keyword workflows. adalysis.com

Adalysis

Optmyzr is the better choice if you want the testing capability to sit inside a much broader PPC-operations platform. It has statistically significant ad A/B testing, bulk keyword optimization, search-term mining, custom automation rules, and support for both Google and Microsoft Ads. help.optmyzr.com

Optmyzr

The important distinction

If by "A/B testing keywords" you mean testing keyword strategies—match types, keyword variants, negatives, bids, etc.—I'd lean Optmyzr because its rule engine and keyword-management capabilities are broader.

If you mean continuously testing ad messaging—headline A vs B, descriptions, offers, CTAs, then rolling winners through many campaigns—I'd choose Adalysis.

For a portfolio with dozens/hundreds of campaigns, I'd actually run a head-to-head trial of those two and evaluate:

1. Can we launch a test across 50+ campaigns in minutes?
2. Can we define the variable being tested cleanly?
3. Does it avoid contaminating the control?
4. How does it determine statistical significance?
5. Can winners/losers be acted on automatically?
6. Can we aggregate results across campaigns without losing campaign-level detail?
7. Can we feed conversion value/CPA/ROAS—not just CTR—into the decision?

Bottom line: Adalysis for experimentation; Optmyzr for broader PPC automation. If experimentation is the product, I'd start with Adalysis.

For your use case—A/B testing keywords and ad copy across dozens of search campaigns—I’d shortlist Optmyzr, Adalysis, and native Google Ads Experiments, with Optmyzr as my first choice.

🥇 My pick: Optmyzr

Optmyzr is probably the closest match to what you're describing.

It can A/B test ads using statistically significant data, compare ads within the same ad group, identify winners/losers, and suggest new ad combinations. More importantly for your situation, it also handles keyword/search-term optimization at scale, including finding high-performing queries to add as keywords and negative-keyword opportunities. help.optmyzr.com

It supports both Google Ads and Microsoft Ads, which is useful if your "dozens of campaigns" eventually becomes multiple accounts/platforms. www.optmyzr.com

Optmyzr

🥈 Adalysis

Adalysis is particularly compelling if testing methodology is the main priority. It tracks ad changes/variables, identifies winning and losing ads, and has strong keyword/search-term analysis including duplicate detection and n-gram analysis. adalysis.com

I'd choose Adalysis over Optmyzr if your team is primarily PPC specialists who want a testing/analysis workbench, rather than a broader automation platform.

Adalysis

When Google Ads itself is enough

Google's native Ad Variations can test a particular copy change across multiple campaigns or even the entire account—for example, changing "Buy Now" to "Buy Today." support.google.com

Google Experiments can also test things such as keyword match types, landing pages, audiences, bidding strategies, and ad-group changes. www.optmyzr.comadalysis.combusiness.google.com

So if you're 100% Google Ads and don't need automation, I'd start there before buying another platform.

The important distinction

If by "A/B testing keywords" you mean:

"Take keyword strategy A vs. keyword strategy B and tell me which produces more qualified conversions across 30–100 campaigns."

that's different from simply comparing keyword performance.

I'd want the tool/workflow to test things like:

• Exact vs. phrase/broad match
• New keyword themes vs. existing themes
• Search-term → keyword expansion
• Negative-keyword strategies
• Headline/description themes
• CTA variations
• Benefit vs. feature messaging
• Location/intent modifiers
• Landing-page variants
• Conversion rate / CPA / ROAS, rather than just CTR

Google itself cautions that with responsive search ads, CTR or ad-level conversion rate alone can be misleading, and recommends looking at incremental campaign/ad-group outcomes. support.google.com

For dozens of campaigns, I'd therefore go Optmyzr + Google Ads Experiments, rather than trying to manage everything manually in Google Ads.

If you tell me roughly how many campaigns, monthly spend, Google-only vs. Google + Microsoft, and whether you're an agency or in-house, I can narrow this down to the best 2–3 options and compare pricing, statistical testing, automation, and bulk campaign support.

If the goal is A/B testing keywords and ad copy across dozens of search campaigns, I’d shortlist Optmyzr and Adalysis, with Optmyzr as the best overall fit for a multi-campaign/multi-account operation.

My pick: Optmyzr

Optmyzr is particularly well suited if you're managing dozens of campaigns because it combines experimentation with the operational side of PPC.

Its ad A/B testing can compare ads using statistically significant results, across Google and Microsoft Ads, and can identify winners/losers using metrics such as CTR, CPA, ROAS and conversion-per-impression. It can then help create new RSAs from winning headlines/descriptions. help.optmyzr.com

More importantly for your use case, Optmyzr can analyze experiments across multiple Google Ads accounts and provide recommendations on whether to continue, graduate, or terminate experiments. help.optmyzr.com

It also has bulk keyword/query optimization and automation, so you're not buying an A/B testing tool that leaves you doing the campaign-management work manually. www.optmyzr.com

When I'd choose Adalysis instead

Adalysis is arguably the better choice if ad-copy experimentation is the central problem.

Its testing system can run tests across individual ad groups or across multiple ad groups and campaigns, track the variables, test multiple metrics, alert you when tests finish, and automatically pause losing ads. Its RSA asset manager also lets you aggregate performance of individual assets across ads. adalysis.com

So I'd think of it this way:

• Need an experimentation + optimization operating system → Optmyzr
• Need a sophisticated ad/RSA testing laboratory → Adalysis
• Only Google Ads, relatively simple setup → native Google Experiments

Google's native experimentation is actually quite capable: its current Experiments tooling supports testing campaign settings, ad copy and bidding strategies, while Search ad variations can test a single copy change across multiple campaigns. support.google.com But it becomes less attractive when you want a centralized testing/optimization workflow across dozens of campaigns.

One important distinction: I'd avoid thinking of "keyword A/B testing" as simply testing Keyword A against Keyword B. For search, you generally want to structure experiments around query/keyword + match type + landing page + ad message, while controlling for budget, bidding strategy and audience. Otherwise you can easily conclude that a keyword is better when the real difference came from traffic mix or ad relevance.

If you tell me (1) Google only vs Google + Microsoft, (2) roughly how many campaigns/ad groups, and (3) whether you're optimizing for leads, revenue, or ROAS, I can give you a much more specific Optmyzr vs Adalysis recommendation and the testing architecture I'd use.

If your core problem is A/B testing keywords and ad copy across dozens of search campaigns, my first choice would be Optmyzr.

My ranking

Why Optmyzr stands out for your use case: its current tooling specifically includes statistically significant ad A/B testing, plus keyword/search-query tools that can identify high-performing queries and negatives. It supports both Google Ads and Microsoft Ads, and is designed for bulk optimization across accounts. help.optmyzr.com

The important distinction is that “A/B test ad copy” and “A/B test keywords” aren't exactly the same problem. For example, Optmyzr can statistically compare ads within an ad group, while its Keyword Lasso/Search Terms tools help discover and promote winning search queries rather than treating individual keywords as a conventional randomized experiment. help.optmyzr.com

When I'd pick the others

Search Ads 360 — choose this if you're an enterprise operation with a large Google ecosystem, sophisticated attribution/reporting requirements, and lots of campaigns. Its portfolio experiments are particularly strong for testing bid-strategy changes across many Search campaigns. support.google.com

Google Ads Experiments — best if you don't want another management platform. Google now has an Experiment Center for comparing campaign settings, ad copy and bidding strategies. support.google.com

Marin — worth considering for enterprise teams. Its creative-testing system can identify winners/losers based on metrics such as conversions, CTR, ROI, etc., and lets you aggregate tests across campaigns using dimensions. support.marinsoftware.com

What I'd do in your situation

If you have dozens rather than hundreds/thousands of campaigns, I'd start with Optmyzr and structure the testing system around:

1. Copy tests: headline/value proposition/CTA variations.
2. Keyword tests: new keyword vs. existing query coverage, match-type experiments, negatives.
3. Standardized labels: so you can aggregate the same experiment across campaigns.
4. Statistical winner criteria: don't just pick the ad with the highest CTR.
5. Automated rollout: winner → pause loser → generate next challenger.
6. Portfolio reporting: measure results across all campaigns rather than treating each ad group independently.

That gives you an actual continuous experimentation engine, rather than just a dashboard that tells you which ads performed best.

If you tell me roughly how many campaigns/ad groups you have, Google-only vs. Google + Microsoft, and monthly ad spend, I can narrow this down to the best 2–3 platforms and tell you which I'd buy.

If your main requirement is systematic A/B testing of keywords + ad copy across dozens of search campaigns, I’d shortlist Adalysis and Optmyzr—and I’d lean Adalysis for the testing-heavy use case.

My pick: Adalysis

Adalysis is particularly strong if the workflow you want is:

campaigns → test hypotheses → measure statistical significance → identify winners → roll winners out → keep testing

It supports both single-ad-group tests and multi-ad-group tests, so you can test an ad against its competitors within an ad group or aggregate tests across multiple ad groups/campaigns. It also automatically monitors tests and flags statistically significant results. docs.adalysis.com

It also has substantial keyword tooling: duplicate/conflicting keywords, search-term analysis, n-grams, negative keywords, etc. adalysis.com

Optmyzr is the better alternative if you want broader automation

Optmyzr is probably the better choice if A/B testing is only one part of a much larger PPC-operations problem.

It combines ad A/B testing with keyword discovery, negative-keyword management, search-term optimization, rules/automation, bidding, budgets, reporting, and Google + Microsoft Ads support. www.optmyzr.com

Its experiment dashboard can also aggregate campaign experiments across multiple Google Ads accounts and make statistically based recommendations about whether to continue, graduate, or terminate experiments. help.optmyzr.com

How I'd choose

One important distinction: keyword A/B testing isn't quite the same thing as ad-copy A/B testing. For keywords, you generally want controlled tests of keyword/ match-type/landing-page/bid structures rather than simply comparing two keywords' raw performance. For copy, you want randomized/control-vs-variant testing with enough volume to establish significance.

So if you're managing dozens of campaigns and the core problem is “we have hundreds of copy/keyword hypotheses and need a machine to continuously test and identify winners,” I'd start with Adalysis. If the broader goal is “operate and automate the entire PPC program,” I'd choose Optmyzr.

If you tell me roughly (1) Google only vs Google + Microsoft, (2) monthly ad spend, and (3) agency vs in-house, I can narrow it down and compare Adalysis vs Optmyzr vs Google Ads Experiments vs Search Ads 360 for your exact setup.

If your main problem is A/B testing keyword + ad-copy changes across dozens of search campaigns, I’d shortlist Adalysis and Optmyzr, with Adalysis as my first choice for a testing-heavy workflow.

🥇 My pick: Adalysis

Adalysis

The particularly relevant feature is its multi-ad-group / multi-campaign A/B testing. It can suggest ad groups, keywords and copy to test, track the variables so tests are comparable, alert you when tests finish, evaluate multiple metrics, and automatically pause losing ads. adalysis.com

That's much closer to the workflow you're describing:

Campaigns → identify test opportunities → generate variants → run tests → statistical winner detection → roll winners out → repeat.

It also has an RSA asset manager that lets you make bulk changes across ads, which is useful when you're dealing with dozens of campaigns rather than one account at a time. adalysis.com

🥈 Optmyzr if you want a broader optimization platform

Optmyzr

I'd choose Optmyzr if A/B testing is only one component of a much larger PPC automation operation. It supports Google and Microsoft Ads, has statistically based ad testing, keyword/search-query optimization, bulk changes, rules, budget optimization and automated bidding tools. help.optmyzr.com

Its testing workflow can compare ads within ad groups and identify statistically significant winners/losers, then use high-performing headlines and descriptions to construct replacement RSAs. help.optmyzr.com

Don't overlook native Google Ads experiments

If you're Google-only, Google's own Experiment Center is worth using for controlled experiments. It can test campaign settings, ad copy, bidding strategies and assets. support.google.com

The catch is that you're still dealing with Google's native experimentation workflow rather than having a dedicated cross-campaign testing/optimization layer.

What I'd do in your situation

If you have dozens of search campaigns and want an "always be testing" system, I'd evaluate:

1. Adalysis → best fit for systematic ad testing
2. Optmyzr → best if you also need broad PPC automation/management
3. Google Ads Experiments → best if you want native tooling and don't mind more manual management

One important distinction: don't treat keyword tests and ad-copy tests as the same experiment. Ideally your platform should let you separately measure:

• keyword/theme → conversion rate / CPA / ROAS
• headline/description → CTR + conversion rate
• offer/message → conversion rate
• landing page → conversion rate
• bid strategy → incremental conversion/value

That prevents you from declaring a piece of copy the "winner" when the actual difference came from the keywords or traffic mix.

If you tell me roughly how many campaigns/ad groups you have, monthly spend, Google-only vs. Google + Microsoft, and whether you're an agency or in-house, I can narrow this down to the best platform and setup for your situation.

If your main requirement is A/B testing keywords + ad copy across dozens of search campaigns, I’d shortlist Optmyzr and Adalysis, with Optmyzr as my first choice.

Why I'd pick Optmyzr

It is unusually close to the workflow you're describing. Its ad-testing tool compares ads within the same ad group using statistically significant data, identifies winners/losers, can pause underperformers, and can generate replacement ads from winning headlines/descriptions. It supports both Google Ads and Microsoft Ads. help.optmyzr.com

More importantly, it handles the keyword side too: search-term mining, adding positive/negative keywords, keyword performance optimization, conflict detection, and bulk optimization across accounts. www.optmyzr.com

For dozens of campaigns, the big advantage is that you aren't just getting an A/B-test dashboard—you get a campaign-management/optimization layer around the tests.

When I'd choose Adalysis instead

Adalysis is probably the stronger alternative if your team is very PPC-analyst-centric and wants extremely granular diagnostics. It has ad A/B testing, RSA asset analysis, keyword cannibalization, search-term analysis, negative-keyword management, and bulk actions. adalysis.com

One important caveat

I wouldn't frame this as simply "which tool has the best A/B testing?" With dozens of campaigns, the bigger question is whether you want to test:

1. Whole ads — headline/description combinations
2. Individual assets — which headlines/descriptions actually drive conversions
3. Keywords/search queries — which themes deserve more budget
4. Landing pages/offers — whether the ad winner actually produces better business results

Optmyzr is particularly compelling if you want all four managed from one PPC workflow, rather than buying a specialized experimentation product.

My recommendation: start with Optmyzr, and evaluate Adalysis alongside it. If you tell me roughly how many campaigns/ad groups, monthly spend, Google vs. Microsoft split, and whether you're optimizing for leads or ecommerce revenue, I can narrow this down to the best 2–3 platforms and tell you what I'd actually buy.

If you’re talking about dozens of Google Search campaigns and want systematic A/B testing of both keywords and ad copy, I’d shortlist Optmyzr, Adalysis, and Google Ads Experiments—with Optmyzr as my pick for your use case.

🥇 My pick: Optmyzr

Optmyzr

It fits your description particularly well because it isn't just an experiment tool. It combines bulk campaign management, keyword/search-term optimization, ad testing, and automation across Google Ads and Microsoft Ads. www.optmyzr.com

For ad copy, its A/B Testing tool compares ads within the same ad group using statistical significance, identifies winners/losers, and can recommend new headlines/descriptions based on high-performing assets. It supports analyzing up to 180 days of data. help.optmyzr.com

For keywords, Optmyzr can analyze search queries and keywords across accounts and automate things like adding positive/negative keywords and adjusting bids. www.optmyzr.com

That makes it much more appropriate for "I have 50+ campaigns and need a repeatable testing machine" than simply using Google Ads' native experiment interface.

🥈 Adalysis

Adalysis

I'd choose Adalysis if ad-copy experimentation is the centerpiece.

It's particularly strong with Responsive Search Ads: you can bulk-copy RSAs, alter headlines/pinning, label test variants, and analyze performance across sets of ad groups. docs.adalysis.com

Its RSA reporting also breaks down asset performance and usage, which is useful if you want to answer questions like "Does our pricing headline consistently beat our benefit headline?" rather than merely "Which whole RSA won?" docs.adalysis.com

Google Ads Experiments

Google Ads Experiments

Don't overlook the native option. Google lets you run controlled experiments against the original campaign and test things such as keyword match types, landing pages, audiences, ad groups, bidding strategies, and ad variations. support.google.com

The downside is that once you're managing dozens of campaigns, it becomes more of an experimentation framework than a centralized optimization/testing system.

What I'd actually build

For your situation, I'd use:

Optmyzr → centralized testing/optimization layer → Google Ads

And structure tests around a hierarchy:

1. Keyword tests: exact/phrase/broad, new keyword clusters, negatives, search-query expansion.
2. Message tests: benefit vs. price vs. urgency vs. differentiation.
3. Headline tests: especially H1/H2 concepts.
4. Description tests.
5. Landing-page tests.
6. Bid strategy / campaign-structure tests.
7. Measure primarily on conversion rate / CPA / ROAS, not just CTR.

The important distinction is that you don't want 50 independent A/B tests generating noisy conclusions. You want a system that can identify winning patterns across campaigns and then propagate those learnings.

Bottom line:

• Best overall for dozens of campaigns: Optmyzr
• Best if ad-copy/RSA testing is the main job: Adalysis
• Best free/native starting point: Google Ads Experiments

If you tell me roughly how many campaigns/ad groups you have, monthly ad spend, and whether you're Google-only or Google + Microsoft, I can narrow this down to the best platform and the specific testing workflow I'd use.