ChatGPT answers, unedited

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.