Answers that name a competitor

For an agency managing many client accounts, I’d start with Optmyzr. It’s built around multi-account PPC operations, automation rules, audits, budget pacing, and reporting across Google/Microsoft and other channels. Optmyzr Google Ads Optimization Optmyzr Google Ads Optimization

• Optmyzr: best fit for sophisticated agency workflows.
• Adalysis: worth considering if Google/Microsoft audits and ad testing are your priority.
• Google Ads Editor + Scripts: excellent low-cost foundation for bulk changes and custom automation. Optmyzr Google Ads Optimization
• Skai/Marin: generally aimed at much larger enterprise operations. Optmyzr Google Ads Optimization

If you tell me roughly how many accounts, monthly spend, and whether you manage Google only or Google + Microsoft, I can narrow it down.

If you manage paid search across many client accounts, the right tool depends on whether your bottleneck is bulk execution, optimization automation, reporting, or client management. A common agency stack is usually a combination rather than one tool. Google Help Pace Ads

Here are the main options:

Google Help Pace Ads### My usual recommendation by agency size

5–20 client accounts

• Google Ads Manager Account (MCC) + Google Ads Editor
• Add Optmyzr or Adalysis for audits, alerts, and automation

Google Help20–100+ accounts

• Optmyzr is often the type of tool teams look at first because it is built around repeatable PPC workflows.
• Pair it with a reporting platform like AgencyAnalytics if client reporting is separate. Pace Ads

Enterprise / very large spend

• Search Ads 360 or similar enterprise platforms become more relevant because governance, integrations, and scale matter more than just optimization suggestions. Google Help

Features I’d prioritize for a multi-client PPC workflow

Look for:

• Cross-account dashboards
• Budget pacing alerts
• Automated anomaly detection
• Search-term mining and negative keyword workflows
• Rules that can be applied consistently across accounts
• Change history/audit trails
• Templates for campaign builds
• Client-ready reporting

One thing I would not replace: Google Ads Manager Accounts + Google Ads Editor. Even if you buy another platform, those are still foundational for managing multiple Google Ads accounts efficiently. Google Help

If you tell me:

1. number of accounts (e.g., 10 vs 200),
2. monthly ad spend range,
3. Google Ads only vs Google + Microsoft + Meta, and
4. whether your pain is optimization or reporting,

I can narrow this to a short list.

For a small ecommerce team on a tight budget, I’d focus on tools that genuinely let you manage Google Ads + Meta together rather than paying enterprise prices for features you won’t use.

Shortlist

*Optmyzr's current pricing is spend-tiered; its official site confirms Google and Meta support, while published pricing data shows Essentials starting around $209/month when billed annually. Optmyzr Google Ads Optimization G2

What I'd look at first

Optmyzr is the closest match if you specifically want one dashboard for Google + Meta, with automated rules, budget monitoring, reporting, and optimization. It supports Google Ads, Microsoft, Amazon, Meta and LinkedIn, and Meta tools are included rather than being a separate subscription. Optmyzr Google Ads Optimization

The catch is price: $200+ per month is hard to justify if your ad spend is only a few thousand dollars monthly. In that situation, the software fee can eat a meaningful percentage of your media budget.

AdEspresso is much cheaper at $49/month, but it's primarily a Meta/Facebook/Instagram tool, so it doesn't solve the Google + social requirement by itself. AdEspresso

Marin does provide genuine cross-channel management across Google, Meta and other publishers, but its entry price is currently $500/month, putting it in a different budget category. Marin Software

My practical recommendation

If your total paid-media spend is:

• <$3k/month: I'd probably stay with Google Ads + Meta Ads Manager and use a cheap reporting layer rather than paying $200–500/month for campaign software.
• $3k–$15k/month: Start evaluating Optmyzr, particularly if campaign management is consuming significant staff time.
• $15k+/month: Cross-channel automation becomes easier to justify; Optmyzr and more comprehensive platforms become more relevant.

If you tell me roughly how much you spend per month on Google + Meta (e.g. $2k, $10k, $50k) and whether you need actual campaign editing/automation or mainly one reporting dashboard, I can narrow this to 2–3 options and compare their current pricing/features.

*Optmyzr's current pricing is spend-tiered; its official site confirms Google and Meta support, while published pricing data shows Essentials starting around $209/month when billed annually. Optmyzr Google Ads Optimization G2

What I'd look at first

Optmyzr is the closest match if you specifically want one dashboard for Google + Meta, with automated rules, budget monitoring, reporting, and optimization. It supports Google Ads, Microsoft, Amazon, Meta and LinkedIn, and Meta tools are included rather than being a separate subscription. Optmyzr Google Ads Optimization

The catch is price: $200+ per month is hard to justify if your ad spend is only a few thousand dollars monthly. In that situation, the software fee can eat a meaningful percentage of your media budget.

AdEspresso is much cheaper at $49/month, but it's primarily a Meta/Facebook/Instagram tool, so it doesn't solve the Google + social requirement by itself. AdEspresso

Marin does provide genuine cross-channel management across Google, Meta and other publishers, but its entry price is currently $500/month, putting it in a different budget category. Marin Software

My practical recommendation

If your total paid-media spend is:

• <$3k/month: I'd probably stay with Google Ads + Meta Ads Manager and use a cheap reporting layer rather than paying $200–500/month for campaign software.
• $3k–$15k/month: Start evaluating Optmyzr, particularly if campaign management is consuming significant staff time.
• $15k+/month: Cross-channel automation becomes easier to justify; Optmyzr and more comprehensive platforms become more relevant.

If you tell me roughly how much you spend per month on Google + Meta (e.g. $2k, $10k, $50k) and whether you need actual campaign editing/automation or mainly one reporting dashboard, I can narrow this to 2–3 options and compare their current pricing/features.

For a small ecommerce team on a tight budget, I’d prioritize a tool that combines Google Ads + Meta (Facebook/Instagram) without charging enterprise-level fees.

My shortlist

For a freelancer managing ~20 local business search ad accounts, the goal is usually not “more automation” — it’s creating a repeatable operating system so you don’t lose track of budgets, search terms, reporting, and client communication.

A practical stack looks like this:

1. Foundation: Google Ads Manager Account (MCC) + Google Ads Editor (free)

ads.google.com

This should be your base layer. A Manager Account lets you access multiple client accounts from one login, and Google Ads Editor helps with bulk edits across campaigns. Google Help

Use it for:

• Adding/removing client access
• Checking all accounts quickly
• Bulk keyword, ad, budget, and setting changes
• Standardizing campaign structures

For 20 clients, this alone prevents a lot of chaos.

2. Optimization layer: pick one PPC management tool

Best fit for a solo freelancer with many small local clients: Adalysis

Good if your clients are mostly:

• plumbers
• dentists
• contractors
• lawyers
• home services
• small retail

Strengths:

• Cross-account audits
• Search term analysis
• Budget monitoring
• Ad testing workflows
• Works with Google Ads and Microsoft Ads accounts MarqOps

Why it fits 20 accounts: you need to quickly answer “which accounts need attention today?” rather than manually inspect every campaign.

Best if you want guided workflows: Opteo

Good if you prefer:

• “Here are the recommended fixes” style workflows
• Cleaner optimization queues
• Less manual analysis

It is more focused on Google Ads and has account limits depending on plan. MarqOps

Best if you’re moving toward an agency model: Optmyzr

Better when you have:

• higher spend accounts
• more complex campaigns
• standardized automation rules
• a VA/junior buyer helping you

It is built around more advanced PPC workflows and automation across larger account portfolios. Keywordme

3. Reporting layer (don’t build reports manually)

Use something like:

• AgencyAnalytics — client dashboards and automated reporting across marketing channels. Keywordme

Your clients should not require a custom spreadsheet every month. Your system should generate:

• spend
• leads/conversions
• cost per lead
• top campaigns
• top search terms
• notes/actions taken

The workflow I’d use for 20 local clients

Monday

• Open MCC dashboard
• Check alerts/anomalies
• Review spend pacing

Tuesday–Wednesday

• Optimize 5–7 accounts/day:

• search terms
• negatives
• budgets
• conversion tracking
• bidding

Thursday

• Client reporting + notes

Friday

• Build improvements:

• new landing page tests
• ad copy tests
• location targeting cleanup

Avoid these scaling traps

• ❌ 20 different campaign structures

→ Use 2–4 templates by industry.

• ❌ Different naming conventions per client

→ Create a naming system once.

• ❌ Manually creating reports

→ Automate reporting.

• ❌ Checking every account every day

→ Use alerts and exception-based management.

If I were a solo freelancer at 20 local accounts, I’d probably run:

Google MCC + Ads Editor + Adalysis + AgencyAnalytics + a documented SOP library

That combination keeps you in control without turning you into a full-time account babysitter. MarqOps clientplug.io

For a freelancer managing 20 local business search ad accounts, the biggest mistake is buying a “more powerful PPC tool” before fixing your operating system. At that size, you need centralized access, repeatable workflows, reporting, and alerts more than fancy automation.

A stack I’d consider:

1. Foundation: Google Ads Manager Accounts (MCC) — mandatory

business.google.com

This should be your home base. It gives you:

• One login for all 20 clients
• Cross-account reporting
• Easier permissions management
• Labels and organization
• Bulk actions across accounts

Google specifically built Manager Accounts for advertisers managing multiple client accounts. Google

2. Bulk editing: Google Ads Editor

Use this for:

• Rolling out campaign templates
• Updating ads/extensions
• Adding negative keywords
• Making large changes safely offline

For local businesses, where many accounts have similar structures (plumber, HVAC, dentist, lawyer, etc.), this saves a lot of time.

3. Reporting/client communication: Looker Studio + templates

Build one reporting template:

• Spend
• Leads
• Cost per lead
• Search terms insights
• Conversion tracking status
• Month-over-month trends

Then duplicate it per client. Your clients care less about the platform and more about “are leads coming in?”

4. Add an optimization layer (when 20 accounts start eating your week)

If you want automation:

Optmyzr
Good for:

• Rules
• Audits
• Bulk optimization workflows
• Larger portfolios

If you want account monitoring:

Apex Ads Management
Designed around managing many Search accounts with prioritization and review workflows. MyApex

If you want simpler agency-style reporting:

Tools like Adzooma or similar dashboards can help with alerts and reporting workflows. MarqOps

The workflow I’d use for 20 local clients

Monday

• Check portfolio dashboard
• Review accounts with spend spikes, CPL increases, tracking issues

Tuesday–Thursday

• Deep work on 5–7 accounts/day
• Search terms
• Negatives
• Budget pacing
• Ad testing

Friday

• Reports
• Client updates
• Next-month recommendations

My practical recommendation for a solo freelancer

At 20 clients, I’d run:

Google Ads MCC + Google Ads Editor + Looker Studio + a lightweight automation/alert tool

Don’t jump straight into a $500+/month enterprise PPC suite unless:

• you’re managing $100k+ monthly spend,
• you have employees,
• or you’re spending 10+ hours/week just checking accounts.

The real scaling unlock is usually standardization:

• one campaign naming system,
• one account structure,
• reusable negative keyword libraries,
• reusable reporting templates,
• a weekly optimization checklist.

That’s what lets 20 accounts become 50 without chaos.

If you’re managing hundreds of ad accounts, I’d put Optmyzr at the top of the shortlist—particularly if your agency is heavily focused on Google Ads, Microsoft Ads, Meta, Amazon, and LinkedIn.

My shortlist

1. Optmyzr — my first choice for an agency

optmyzr.com

The big advantage is that it combines the three things you're asking for rather than making you bolt separate tools together.

• Bulk changes: its Rule Engine can make bulk changes across Google, Microsoft, Meta, LinkedIn and Amazon Ads. Optmyzr Help Center Optmyzr Help Center
• Automated rules: you can build if/then strategies around things like CPA, ROAS, spend, conversions, budgets, etc., then schedule them. It also supports bulk automation of global strategies across multiple accounts. Optmyzr Help Center Optmyzr Help Center
• Hundreds of accounts: Optmyzr explicitly supports automation across as many connected accounts as your plan allows, with an All Accounts Dashboard for consolidated management. Optmyzr Help Center
• Agency reporting: you can create reusable templates, multi-account reports, white-label them, and automatically deliver them to clients. Optmyzr Help Center Optmyzr Google Ads Optimization
• Cross-platform: multi-account reporting can combine Google, Microsoft, Amazon, Meta, LinkedIn and GA4 data. Optmyzr Google Ads Optimization

For an agency, I'd particularly look at whether you can turn your agency's recurring optimization playbook into global Rule Engine strategies. That's where the economics get interesting: instead of an account manager manually checking 100 accounts for the same conditions, you encode the logic once and deploy it broadly.

2. Skai — if you're genuinely enterprise-scale

skai.io

Skai is worth serious consideration if you're managing very large advertisers, large budgets, and multiple paid-media channels.

It supports bulk editing/bulksheets, advanced automated actions with multiple conditions, custom optimization algorithms, portfolio-level optimization, and automated reporting. Skai Skai

I'd investigate Skai particularly if your agency is moving toward enterprise omnichannel media management, rather than primarily PPC account operations.

What I'd choose

For a typical performance marketing agency managing, say, 100–500+ client ad accounts, I'd start with Optmyzr.

The architecture I'd aim for would be:

Ad platforms → Optmyzr → standardized rules → automated changes → centralized monitoring → white-label client reporting

And I'd build a library of agency-wide rules such as:

• Pause/flag campaigns when spend exceeds X with zero conversions.
• Alert when CPA is >X% above target.
• Increase/decrease budgets based on pacing.
• Detect sudden conversion drops.
• Identify campaigns with significant spend but insufficient data.
• Flag disapproved ads.
• Apply standardized naming/structure checks.
• Generate client-level weekly/monthly reports automatically.

Optmyzr also maintains automation history and optimization history, which becomes important when you have hundreds of accounts and need to know what changed, when, and why. Optmyzr Help Center

One caveat: if your agency is primarily Meta Ads rather than Google/PPC, I'd do a more specific comparison before committing. Optmyzr now supports Meta Rule Engine, but the depth of automation you need matters considerably. Optmyzr Help Center

If you tell me roughly how many Google / Meta / Microsoft accounts you manage, monthly ad spend, and whether your main pain is bulk editing, optimization, or client reporting, I can narrow this down to a 2–3 tool stack and explain the likely cost/operational tradeoffs.

What I'd choose

For a typical performance marketing agency managing, say, 100–500+ client ad accounts, I'd start with Optmyzr.

The architecture I'd aim for would be:

For an agency managing hundreds of ad accounts, I’d put Optmyzr at the top of the shortlist—especially if your stack is primarily Google Ads/Microsoft Ads with meaningful Meta coverage.

optmyzr.com

Why it fits an agency at your scale

• Bulk changes: Optmyzr’s Rule Engine can create bulk optimizations across Google, Microsoft, Amazon, Meta, and LinkedIn Ads. Optmyzr Help Center Optmyzr Help Center
• Automated rules: You can build conditional if/then strategies around CPA, ROAS, spend, conversions, budgets, etc., and schedule them. It also supports bulk automation of strategies. Optmyzr Help Center
• Cross-account management: Its portfolio functionality lets you manage automation across groups of accounts, while Google/Microsoft/Amazon rules can also be created and scheduled per account in bulk. Optmyzr Help Center
• Reporting: This is particularly useful for an agency. You can build reusable branded templates and multi-account reports spanning Google, Microsoft, Amazon, Meta and LinkedIn, then schedule delivery. Optmyzr Help Center Optmyzr Help Center
• Auditability: It maintains optimization/automation history, which matters when hundreds of accounts are being changed automatically. Optmyzr Help Center
• Alerts: It can monitor KPIs, budget pacing and anomalies and send alerts to channels such as Slack or Teams. Optmyzr Help Center

The important distinction

If your primary need is:

For your specific description—bulk changes + automated rules + reporting across hundreds of accounts—I'd lean toward Optmyzr rather than stitching together several point solutions.

One caveat: at hundreds of accounts, I'd talk to Optmyzr about their agency/enterprise setup rather than evaluating the normal self-serve pricing. Their Campaign Automator documentation explicitly says they offer custom pricing for high-volume account usage. Optmyzr Help Center

If you tell me roughly how many Google, Meta, and Microsoft accounts you manage, monthly ad spend, and whether you need client-facing white-label reporting, I can give you a 3-tool shortlist with the specific tradeoffs for a 100–500+ account agency.

Yes. There are several platforms now that can manage paid search + paid social in one place and produce consolidated client reporting.

The important distinction is whether you want campaign management or just reporting.

Strong options

• optmyzr.com — probably the closest fit if you're an agency. It supports Google Ads, Microsoft Ads, Meta and LinkedIn, with cross-platform dashboards, campaign/budget management, automation, and multi-account client reporting. Its reporting can combine Google, Microsoft, Meta, LinkedIn, Amazon and GA4 into a single client report. Optmyzr Google Ads Optimization Optmyzr Google Ads Optimization
• skai.io — more enterprise-oriented. It combines paid search/social management, portfolio optimization, automated actions, and cross-channel reporting. Skai
• marinsoftware.com — another established option for agencies managing lots of accounts. It aggregates performance data across publishers and supports recurring reports across clients. Marin Software
• umbrellareporting.com — worth considering if reporting/client presentation is the bigger problem. It can combine Google, Microsoft, Meta, LinkedIn, TikTok, Pinterest and Snapchat data into unified, white-labeled reports, but it's more reporting-focused than a full campaign-management platform. Umbrella Reporting
• ambitads.com — interesting newer option if you specifically want to edit and launch campaigns from the same interface. It currently positions itself around Google, Microsoft and Meta, with normalized cross-channel reporting. Ambit

If I were evaluating this for an agency

I'd narrow it to:

Optmyzr is particularly close to what you described: you can organize accounts by client/portfolio, manage Google/Microsoft/Meta/LinkedIn campaigns, monitor budgets and performance, and generate a single client-facing report rather than stitching together separate Google Ads and Meta reports. Optmyzr Google Ads Optimization Optmyzr Google Ads Optimization

If you're asking because you're considering building/buying a solution for your agency, I can also break down the market by features, approximate pricing, API integrations, white-labeling, and where the gaps are—which gets more interesting because there are still some pretty big gaps between "unified reporting" and truly unified campaign management.

For A/B testing keywords and ad copy across dozens of search campaigns, the “best” platform depends on whether you need testing rigor, bulk campaign operations, or enterprise governance. The strongest fits are usually:

My shortlist for your scenario

If you are managing dozens of search campaigns and your main goal is:

• “Which headline/description/keyword theme wins?” → Adalysis

• Best dedicated testing layer.
• Good for avoiding premature “winner” decisions by using statistical significance rather than eyeballing CTR/conversions. Keywordme
• “We need to continuously optimize hundreds/thousands of keywords and ads” → Optmyzr

• Better operationally: bulk changes, automation rules, search term mining, and account hygiene. Optmyzr Google Ads Optimization
• “We run agency/enterprise accounts with approvals and reporting” → Skai or Marin

• Better when workflow, permissions, and cross-account visibility matter. adcrunch.dev Keywordme

What I would look for before buying

For your specific use case, I’d prioritize:

1. Experiment management

• Can it automatically create/control variants?
• Can it prevent overlapping tests?
• Statistical confidence

• Does it tell you when a test is actually conclusive?
• Does it account for conversion volume, not just CTR?
• Bulk deployment

• Push one winning ad concept across dozens of campaigns safely.
• Keyword-level insights

• Search term mining
• Match-type analysis
• Negative keyword recommendations
• Integration

• Google Ads MCC
• Microsoft Ads
• Analytics/CRM revenue data

A common stack for mature PPC teams is:

• Adalysis for testing intelligence
• Optmyzr for execution/automation
• Native Google/Microsoft experiment tools for high-value controlled tests

If you tell me your approximate scale (e.g., 50 campaigns vs 5,000, monthly spend, Google only vs Google + Microsoft, and whether you’re an agency), I can narrow it to 1–2 platforms.

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

If you’re running seasonal search campaigns across multiple brands/accounts, I’d separate the options into three tiers:

My take: Optmyzr for your use case

For a workflow like:

Black Friday → Christmas → Valentine's → Summer Sale → back to evergreen

Optmyzr is particularly suited to turning that into a repeatable process. Its Account Blueprints let you schedule recurring or one-time workflows across multiple Google Ads and Microsoft Ads accounts, with assigned tasks and schedules. Optmyzr Help Center

Its campaign tooling also supports templates, duplication, and rapid campaign creation, including Search campaigns. What's new on Optmyzr What's new on Optmyzr

And if your seasonal campaigns are driven by structured data—products, locations, promotions, inventory, etc.—its Campaign Automator can use reusable campaign/ad/targeting templates and automatically create or update campaigns on a schedule. Optmyzr Google Ads Optimization

Where the alternatives fit

Google Ads Editor is probably the best free option. You can clone campaigns, make bulk changes, copy schedules, review everything offline, and then publish. Google Help Google The limitation is that your team still has to orchestrate the seasonal workflow rather than having a centralized campaign-production system.

Skai becomes more interesting if you're operating at enterprise scale across several publishers. It offers scheduled actions and Campaign Mirroring, which can replicate campaigns within and across media platforms. Skai

Microsoft Advertising Editor is useful as the Microsoft-specific equivalent for bulk creation/editing, but I wouldn't make it the central seasonal orchestration layer. Microsoft Advertising

A practical agency workflow

I'd structure your system like this:

1. Master templates — one evergreen template per brand/campaign type.
2. Seasonal variables — promotion name, dates, offer, landing page, budgets, messaging.
3. Clone/instantiate — generate the seasonal campaign from the master.
4. Pre-launch QA — URLs, dates, geo, budgets, negatives, conversion tracking, naming.
5. Scheduled activation — campaigns/ad groups/assets turn on at the appropriate time.
6. Scheduled rollback — return to evergreen or pause the seasonal layer after the promotion.
7. Cross-account deployment — execute the same workflow against all relevant brands/accounts.

For multiple brands with recurring seasonal launches, I'd therefore choose Optmyzr unless you're already operating at a very large enterprise level where Skai's broader cross-channel capabilities justify the added platform complexity.

One important nuance: if by "scheduling" you mean "prepare the entire campaign today and automatically publish/enable it on a specific future date", that's a more specific requirement than ordinary ad scheduling. I'd evaluate the platforms specifically on that workflow rather than assuming their generic automation features do it.

Optmyzr is particularly suited to turning that into a repeatable process. Its Account Blueprints let you schedule recurring or one-time workflows across multiple Google Ads and Microsoft Ads accounts, with assigned tasks and schedules. Optmyzr Help Center

Its campaign tooling also supports templates, duplication, and rapid campaign creation, including Search campaigns. What's new on Optmyzr What's new on Optmyzr

And if your seasonal campaigns are driven by structured data—products, locations, promotions, inventory, etc.—its Campaign Automator can use reusable campaign/ad/targeting templates and automatically create or update campaigns on a schedule. Optmyzr Google Ads Optimization

Where the alternatives fit

Google Ads Editor is probably the best free option. You can clone campaigns, make bulk changes, copy schedules, review everything offline, and then publish. support.google.com business.google.com The limitation is that your team still has to orchestrate the seasonal workflow rather than having a centralized campaign-production system.

Skai becomes more interesting if you're operating at enterprise scale across several publishers. It offers scheduled actions and Campaign Mirroring, which can replicate campaigns within and across media platforms.

Microsoft Advertising Editor is useful as the Microsoft-specific equivalent for bulk creation/editing, but I wouldn't make it the central seasonal orchestration layer.

A practical agency workflow

I'd structure your system like this:

For multiple brands running seasonal search campaigns, the best solution is usually not a single “campaign management” tool — it is a combination of:

1. A campaign templating/bulk deployment layer (to clone and launch quickly)
2. A workflow/approval layer (to prevent seasonal mistakes)
3. The ad platforms’ native bulk tools/API (for final deployment)

The right choice depends on your scale, but these are the strongest fits:

My recommendation by operating model

If you manage ~5–50 brands

Use:

• Google Ads Editor
• A master campaign template spreadsheet
• Scripts or automation rules
• Optional Optmyzr for QA and recurring tasks

A good workflow:

1. Build a “master” seasonal campaign template:

• Campaign naming rules
• Ad groups
• Keywords
• RSA assets
• Extensions/assets
• Tracking parameters
• Budgets
• Duplicate by brand:

• Brand name insertion
• Product/category swaps
• Geo changes
• Promotion dates
• Run QA:

• Missing assets
• Broken URLs
• Budget errors
• Tracking checks
• Schedule activation dates.

If you manage 50–500+ brand campaigns

I would lean toward:

• Optmyzr for operational automation Optmyzr Google Ads Optimization
• Google Ads API/custom scripts for deployment
• A campaign calendar and approval workflow

If your seasonal campaigns are mostly “clone last year, update dates/offers, launch”

The highest ROI setup is usually:

Campaign templates + Google Ads Editor + scripts

because the bottleneck is rarely bidding; it is:

• naming consistency
• bulk edits
• QA
• approvals
• launch timing

Features I would prioritize in your situation

Look for:

• ✅ Campaign cloning with variable fields (brand, market, promotion, dates)
• ✅ Bulk URL updates
• ✅ Bulk ad copy replacement
• ✅ Automated naming conventions
• ✅ Scheduled activation/deactivation
• ✅ Change history/audit trail
• ✅ Multi-account management
• ✅ Approval workflow before publishing
• ✅ Templates that survive year-over-year reuse

A few questions would narrow this down:

1. How many brands/accounts are you managing (10, 50, 500+)?
2. Is this mostly Google Search, Microsoft Ads, or both?
3. Are campaigns structurally identical across brands, or does each brand have a unique setup?
4. Do you need a non-technical marketing team to launch them, or is this handled by PPC specialists?

Yes. If your main problem is cross-account negative keyword management + reducing wasted search spend, I’d look closely at Optmyzr.

Why Optmyzr fits this use case

• Cross-account management: It’s designed for agencies/teams managing multiple Google Ads accounts, with a unified dashboard and optimization workflows across accounts. Optmyzr Google Ads Optimization Optmyzr Help Center
• Negative Keyword Finder: It analyzes search-term data and identifies words/queries that are consuming spend without producing conversions, then lets you bulk-add them as negatives. Optmyzr Help Center
• Shared negative lists: You can add discovered negatives to shared negative lists and apply those lists to campaigns. Optmyzr Help Center
• Automation: Its Rule Engine can automate search-term/keyword management rather than relying on someone to manually review every account. Optmyzr Google Ads Optimization
• Portfolio-level insights: Optmyzr can identify recurring search themes across a portfolio of accounts, which is particularly relevant if you're trying to establish a standardized "do not waste money on these queries" framework across clients/accounts. Optmyzr Google Ads Optimization
• Wasted-spend workflow: Its newer MCP integration can analyze search terms across connected accounts, identify wasted spend, map existing negatives, and stage proposed negative keywords for review before applying them. Optmyzr Google Ads Optimization

optmyzr.com

One important distinction

If by "cross-account negative keyword management" you simply mean:

"I have an MCC and want one negative list that I can maintain and push to multiple accounts."

You may not need a third-party tool at all. Google Ads Manager Accounts support shared negative keyword lists that can be applied to client accounts. Google Help

But if you mean:

"I want software to analyze search terms across 20/50/100+ accounts, identify recurring waste, recommend negatives, maintain the lists, and automate the process."

Then Optmyzr is much closer to the problem you're describing.

One caveat: Optmyzr's Negative Keyword Finder currently analyzes the individual account's search-term data; its FAQ says the Google Ads API doesn't currently allow it to write directly to an MCC-level shared negative list. Optmyzr Help Center So the distinction between cross-account analysis/automation and literally one centrally managed MCC negative list matters.

If you tell me roughly how many Google Ads accounts you manage (e.g. 10, 50, 500) and whether they're all under one MCC, I can compare Optmyzr vs Adalysis vs a custom Google Ads Script vs Google's native shared lists specifically for your workflow.

For a large ecommerce catalog, I’d separate the problem into feed management and bid/campaign optimization:

My shortlist

1. Feedonomics + Skai — strongest combination for a very large SKU catalog

Feedonomics is purpose-built for complex product feeds: it can normalize/enrich catalog data, create channel-specific feeds, and syndicate products to 1,200+ destinations. Feedonomics Feedonomics

Skai then adds portfolio-level paid-search optimization, including automated bid/budget optimization against ROAS or other KPIs and automated product-structure optimization. Skai Skai

2. Skai — if bid management is the bigger problem

If your feed is already reasonably clean, Skai is particularly interesting because it combines campaign management with algorithmic bidding and can optimize Shopping campaigns across publishers. Its Shopping product also integrates with Productsup for feed management. Skai

3. Google Merchant Center + Performance Max — if most spend is Google

You may not need a third-party bid platform at all. Google uses Merchant Center product data to determine Shopping eligibility and Performance Max automatically optimizes toward your conversion goals. Google Help Google Help

For 2026, Google has also introduced AI Max for Shopping, which uses richer Merchant Center feed data for conversational search and automated ad/landing-page matching. blog.google

Practical recommendation

If you're talking about tens or hundreds of thousands of SKUs, I'd look first at:

Feedonomics → Google/Microsoft/Meta/etc. feeds → Skai for cross-channel campaign/bid optimization

If you're primarily Google Ads + Shopping/PMax, I'd first test:

Feedonomics → Merchant Center → Performance Max/AI Max

That avoids paying for a bid-management layer where Google's own automation may already handle much of the optimization.

If you tell me roughly SKU count, monthly ad spend, Google vs. Microsoft/Meta mix, and whether you're Shopify/BigCommerce/custom, I can narrow this to 2–3 platforms and explain the tradeoffs.

For an ecommerce business with many SKUs, I’d separate the problem into feed management and bid/campaign optimization:

For Google Shopping specifically, you may not need a third-party bid platform. Google Merchant Center supplies the product feed, while Performance Max uses that feed and automatically optimizes bids toward conversion/value goals. Google Help Google Help

For a large SKU catalog across multiple channels, Feedonomics is particularly relevant because it can standardize, enrich, and distribute product data to 1,200+ advertising destinations. Feedonomics Feedonomics

If the harder problem is “I have thousands of products/campaigns and need automated bidding, budget allocation, and optimization across paid search”, Skai is the more directly relevant category: it supports portfolio-level ROAS/budget optimization, algorithmic bidding, bulk changes, and automation across Google and Microsoft. Skai

Practical architecture:
PIM/ecommerce platform → Feedonomics → Merchant Center/Microsoft/etc. → Google Ads/Skai for campaign + bid optimization.

If you tell me roughly SKU count (e.g. 10k vs. 1M), monthly ad spend, and whether you're mainly Google or Google + Microsoft/Meta/Amazon, I can narrow this down to the platforms that fit that scale.

If your goal is specifically to unify conversion tracking and attribution across multiple paid-search accounts, I’d shortlist Funnel and Northbeam, with the right choice depending on whether you primarily need measurement infrastructure or cross-channel attribution.

My shortlist

I'd lean toward Funnel for your use case

Funnel now supports server-to-server conversion uploads to Google Ads, Microsoft Ads and other advertising platforms. That means you can centralize conversion events from your CRM, warehouse, or other source and push the appropriate signals back to the individual ad platforms. Funnel Knowledge Base Funnel Knowledge Base

It also supports connecting multiple platform accounts and transforming the data into a common structure, which is useful if, for example, you have:

• 10+ Google Ads accounts
• Multiple Microsoft Ads accounts
• Different brands/business units
• CRM-generated qualified-lead or revenue data
• Different conversion definitions across accounts

Funnel's newer Measure product also provides attribution models beyond platform-reported attribution, including data-driven MTA, and lets you compare models. Funnel Knowledge Base Funnel Knowledge Base

So I'd think of the architecture as:

Ad accounts → Funnel → normalized conversion/marketing dataset → attribution/reporting → conversion signals back to Google/Microsoft

That's particularly compelling if your "conversion" isn't simply a form submission—for example, qualified lead → opportunity → closed revenue.

When I'd choose Northbeam instead

If the bigger problem is:

"Google Ads says it generated X revenue, Microsoft says it generated Y, but we want one independent view of which marketing touchpoints actually contributed to the customer."

Then I'd look hard at Northbeam.

Northbeam is explicitly built around first-party-data-based multi-touch attribution and can unify touchpoints across channels. It supports multiple attribution models rather than simply reproducing each advertising platform's attribution. Northbeam Northbeam Documentation

It also has native Google Ads integration and supports account-level tracking parameters to connect ad spend with subsequent conversions. Northbeam Documentation

Its pricing is substantially more enterprise-oriented: the current published plans start at $1,500/month for Starter and $3,500/month for Professional. Northbeam

One important distinction

I'd separate conversion tracking from attribution:

• Conversion tracking: "Did this Google Ads click eventually produce a qualified lead/revenue?"
• Attribution: "How should credit for that customer be divided among Google Search, Microsoft Search, organic, email, paid social, etc.?"
• Optimization: "What conversion signal should Google/Microsoft receive so their bidding algorithms optimize toward actual business value?"

If you need all three, Funnel is particularly interesting because it can sit in the middle of that data flow, rather than being just another reporting dashboard. Funnel Knowledge Base

If you tell me roughly how many ad accounts you have, whether they're Google/Microsoft/Bing, what the conversion is (lead, qualified lead, sale, revenue), and whether you use a CRM such as Salesforce/HubSpot, I can narrow this down to a specific architecture and compare Funnel vs Northbeam vs a custom BigQuery/GA4 setup.

If the bigger problem is:

"Google Ads says it generated X revenue, Microsoft says it generated Y, but we want one independent view of which marketing touchpoints actually contributed to the customer."

Then I'd look hard at Northbeam.

Northbeam is explicitly built around first-party-data-based multi-touch attribution and can unify touchpoints across channels. It supports multiple attribution models rather than simply reproducing each advertising platform's attribution.

It also has native Google Ads integration and supports account-level tracking parameters to connect ad spend with subsequent conversions.

Its pricing is substantially more enterprise-oriented: the current published plans start at $1,500/month for Starter and $3,500/month for Professional.

One important distinction

I'd separate conversion tracking from attribution:

If your goal is to unify conversion tracking and attribution across multiple paid-search accounts, I’d shortlist Ruler Analytics, Dreamdata, and Funnel—but the best choice depends heavily on whether you’re primarily lead-gen/B2B or ecommerce.

My recommendation

1. Ruler Analytics — best overall for lead generation

This would be my first choice if you have multiple Google Ads/Microsoft Ads accounts and care about connecting ad click → lead → qualified lead → sale/revenue.

Ruler is particularly strong at first-party tracking, multi-touch attribution, CRM enrichment, offline conversions, and feeding revenue/conversion data back into ad platforms. It can also deduplicate conversions across channels. Ruler Analytics Ruler Analytics

Why I'd favor it:

• Centralizes attribution across multiple ad accounts.
• Tracks form fills, calls, chats and offline sales.
• Connects marketing touches to CRM revenue.
• Supports multiple attribution models.
• Can send better conversion signals back to advertising platforms.
• More appropriate than ecommerce-focused tools if your "conversion" is a lead that later becomes revenue.

2. Dreamdata — best if you're B2B/SaaS

If you have long sales cycles, Salesforce/HubSpot, multiple stakeholders per account, and want account-level revenue attribution, I'd seriously consider Dreamdata.

It is specifically designed around B2B customer journeys and can connect advertising and website activity with CRM pipeline and closed-won revenue. Nvecta Ruler Analytics

The tradeoff is that it's more B2B-specific and less useful if your primary problem is simply consolidating paid-search conversion tracking.

3. Funnel — best if the real problem is data consolidation

If you already have good conversion tracking and attribution logic, but your problem is:

"We have 15 Google Ads accounts, several Microsoft Ads accounts, GA4, CRM data, and spreadsheets, and we need one clean dataset."

Then Funnel is worth looking at.

It's more of a marketing-data aggregation layer than a dedicated attribution engine. Current comparisons generally position Funnel/Improvado as the better fit for teams that need to centralize messy marketing data before building reporting/attribution on top. Nvecta Admetrics

How I'd choose

The important distinction is that "unify conversion tracking" and "unify attribution" are actually two different problems. A data aggregator can put all your Google Ads accounts into one dashboard, but that doesn't necessarily solve cross-account identity, deduplication, offline revenue, or attribution.

For your use case, I'd therefore lean Ruler unless you're specifically B2B SaaS/account-based. Its combination of first-party tracking, CRM/offline conversion data, multi-touch attribution, and ad-platform feedback is unusually aligned with what you're describing. Ruler Analytics Ruler Analytics

If you tell me (1) B2B vs ecommerce, (2) Google Ads only vs Google + Microsoft, (3) CRM you're using, and (4) roughly how many ad accounts, I can narrow this down to 2–3 products and tell you exactly how I'd architect the tracking stack.

For managing multiple search ad accounts, visualizing performance, and setting custom KPI alerts, the best platform depends on whether you need more reporting, automation, or enterprise campaign control. The strongest options are:

Guideflow Keywordme### My shortlist by use case

If you are an agency managing 10–100+ search accounts

• Optmyzr → best if your team actively optimizes campaigns and wants automated rules/alerts.
• AgencyAnalytics or NinjaCat → best if the main goal is client reporting and visualization.
• A common stack is Optmyzr + Looker Studio/AgencyAnalytics: one handles optimization, the other handles presentation. Guideflow Keywordme

If you are an in-house enterprise team

• Search Ads 360 is worth considering when you have many accounts, large budgets, and need governance across search programs. Worldmetrics

If custom KPI alerts are the priority
Look for:

• Threshold alerts (e.g., CPA > target by 20%)
• Anomaly detection (sudden spend spikes, conversion drops)
• Budget pacing alerts
• Slack/email notifications
• Account-level rollups
• Custom calculated KPIs (ROAS, MER, profit, lead quality scores)

A practical recommendation

For most multi-account search teams, I would evaluate:

1. Optmyzr — for PPC managers who need action-oriented alerts and optimization workflows. Guideflow
2. Looker Studio + a data connector — for highly customized KPI dashboards. Guideflow
3. NinjaCat or AgencyAnalytics — if you need polished client reporting at scale. Keywordme

If you share:

• number of accounts,
• Google Ads only vs Google + Microsoft Ads,
• agency vs in-house,
• monthly ad spend range,
• whether alerts should notify only or automatically take action,

I can narrow it to a few best-fit platforms.

If your priority is multi-account paid-search performance + visualization + custom KPI alerts, my top pick is Optmyzr.

Best overall: Optmyzr

It fits your use case particularly well because it combines:

• Multi-account dashboards: Monitor Google Ads, Microsoft Ads, Amazon, Meta, LinkedIn, and other accounts from a unified interface. Optmyzr Help Center Optmyzr Google Ads Optimization
• Portfolio-level KPIs: You can aggregate accounts into portfolios and set KPI alerts against the portfolio rather than monitoring every account separately. Optmyzr Help Center Optmyzr Help Center
• Custom metrics: Create calculated KPIs from existing metrics, which is useful for things like custom CPA, ROAS targets, efficiency ratios, or blended performance measures. Optmyzr Help Center
• Flexible alerts: Alerts can trigger when a KPI falls below a target, changes by a percentage, or trends in the wrong direction. They can be delivered through email, Slack, and Microsoft Teams. Optmyzr Help Center Optmyzr Google Ads Optimization
• Cross-account reporting: You can build reusable multi-account reports and combine data from multiple advertising platforms. Optmyzr Google Ads Optimization
• Budget monitoring: Portfolio-level budget pacing and alerts are also supported, including automation around budget control. Optmyzr Help Center

optmyzr.com

How I'd rank the alternatives

Marin is the strongest alternative if you're operating at enterprise scale. It supports cross-client reporting, custom columns/filters, recurring reports, and exception-based alerts built around report conditions. Marin Software Marin Support Marin Support

My recommendation: If you want an operational PPC command center where the team can see performance and immediately know what needs attention, choose Optmyzr. If you mainly want a highly customized BI visualization layer and are comfortable building the data infrastructure yourself, I'd lean toward Looker Studio instead.

If you tell me how many accounts, which ad platforms, and your main KPIs (e.g. CPA/ROAS/CVR/spend), I can narrow this down to the best 2–3 options for your setup.

For a solo PPC specialist managing dozens of client accounts, I’d focus less on raw feature count and more on cost per account, cross-account automation, reporting, and how much manual work the software actually removes.

My shortlist

Pricing changes frequently, but current 2026 comparisons put Adalysis around $126/month at entry level, while Optmyzr currently starts around $209/month with pricing tied to managed ad spend. Optmyzr Google Ads Optimization Software Advice

The one I'd investigate first: Adalysis

For your particular situation—one person, dozens of clients—Adalysis has an unusually attractive pricing structure because it supports unlimited Google/Microsoft Ads accounts and users, rather than making the number of client accounts itself the primary constraint. Its strengths are account audits, monitoring, search-term analysis, budget tracking, and particularly ad testing. StackScored AiMarketer

That makes the economics potentially much better when you have, say, 30–50 relatively small clients rather than a handful of enormous accounts.

The tradeoff is that it's primarily a Google + Microsoft Ads tool. If you're also managing substantial Meta, Amazon, LinkedIn, etc., its advantage diminishes.

Optmyzr if automation is the priority

optmyzr.com is probably the more capable overall platform. It supports Google, Microsoft, Amazon, Meta and LinkedIn, and provides cross-account reporting, budget management, rules/automation, audits, alerts and optimization tools. Optmyzr Google Ads Optimization Optmyzr Google Ads Optimization

For a solo operator, that can be valuable because you're effectively buying leverage rather than just reporting.

The catch is pricing: it's based on managed ad spend, so if your dozens of clients collectively spend a lot, the subscription can become considerably more expensive. Annual billing currently offers a 30% discount. Optmyzr Google Ads Optimization

Opteo is interesting if you're almost entirely Google Ads

opteo.com is worth considering if your clients are predominantly Google Ads accounts.

Current published pricing is roughly:

• $129/mo — up to 10 accounts
• $249/mo — up to 25 accounts
• $499/mo — up to 75 accounts

So the economics are very predictable. Keyword Ninja StackScored

For someone managing 20–50 Google Ads accounts, that's a straightforward alternative to a spend-based platform.

What I'd choose based on your setup

• 20–50+ mostly small/medium Google/Microsoft clients: Adalysis
• Dozens of clients + substantial cross-platform PPC: Optmyzr
• Mostly Google Ads + want predictable pricing: Opteo
• You mainly need alerts/monitoring and want to spend very little: Adzooma
• You're comfortable building automations yourself: Google Ads Scripts + Google Ads Editor, supplemented by a reporting tool

One important distinction: don't confuse account-management software with reporting software. If your biggest bottleneck is actually making changes across 30 accounts, I'd prioritize Optmyzr/Adalysis/Opteo. If your bottleneck is producing 30 client reports every month, the optimal stack can look quite different.

If you tell me roughly (1) number of accounts, (2) total monthly ad spend, (3) Google vs Microsoft vs Meta split, and (4) whether reporting or optimization is your biggest time sink, I can narrow this down to the most cost-effective stack for your workload.

The tradeoff is that it's primarily a Google + Microsoft Ads tool. If you're also managing substantial Meta, Amazon, LinkedIn, etc., its advantage diminishes.

Optmyzr if automation is the priority

optmyzr.com is probably the more capable overall platform. It supports Google, Microsoft, Amazon, Meta and LinkedIn, and provides cross-account reporting, budget management, rules/automation, audits, alerts and optimization tools. Optmyzr Google Ads Optimization Optmyzr Google Ads Optimization

For a solo operator, that can be valuable because you're effectively buying leverage rather than just reporting.

The catch is pricing: it's based on managed ad spend, so if your dozens of clients collectively spend a lot, the subscription can become considerably more expensive. Annual billing currently offers a 30% discount.

Opteo is interesting if you're almost entirely Google Ads

For a solo PPC specialist managing dozens of client accounts, I’d narrow the field to Optmyzr, Adalysis, and Shape. The right choice depends heavily on whether your biggest bottleneck is optimization, reporting, or budget pacing.

My practical shortlist

1. Optmyzr — strongest all-around choice

For a solo operator, Optmyzr is probably the most capable single-platform option if you're managing Google Ads plus Microsoft, Amazon, Meta, or LinkedIn.

Its current plans support Google, Microsoft, Amazon, Meta, LinkedIn and Yahoo! Japan, with multi-account budget management, reporting, optimization, audits, alerts and automation. Essentials supports up to 25 accounts; Premium supports unlimited accounts subject to fair-use provisions. Optmyzr Help Center Optmyzr Google Ads Optimization

The particularly useful part for a solo specialist is that you're not just getting a dashboard—you can automate repetitive account-management work.

I'd choose it if you routinely do things like:

• manage search-query/keyword optimization across many accounts
• monitor budgets and pacing
• run standardized rules/automations
• produce client reports
• manage multiple ad platforms
• want portfolio-level visibility

There is a catch: Optmyzr prices according to ad spend, not simply the number of clients. Optmyzr Help Center So a solo consultant with 40 relatively small accounts can have a very different economics from someone with 15 large accounts.

2. Adalysis — potentially the better value for a Google/Microsoft specialist

Adalysis is particularly interesting if most of your work is Google Ads and Microsoft Ads.

Every plan includes unlimited Google Ads and Microsoft Ads accounts and unlimited users, so the number of client accounts itself isn't the pricing constraint. Adalysis

It focuses heavily on the things a hands-on PPC specialist needs: audits, alerts, optimization, testing and account monitoring.

That makes it attractive for a solo operator who thinks:

"I don't need a giant agency platform. I need something that helps me catch problems and optimize 30–50 accounts efficiently."

Its pricing does scale with total monthly ad spend, however, so I'd compare your aggregate client spend against Optmyzr's tiers before deciding. Adalysis

3. Shape — worth considering if budget management is your nightmare

Shape is more specialized. Its Budget Management Platform provides unlimited clients, budgets, data sources, ad accounts and users on its paid plans. Shape Help Center

I'd put it on the shortlist if your biggest recurring task is:

• "Are all my clients going to hit their monthly budgets?"
• reallocating budgets
• pacing
• automated budget adjustments
• maintaining centralized budget visibility across dozens of accounts

It's less compelling if what you really want is a comprehensive PPC optimization cockpit.

What I'd do in your situation

For a solo PPC specialist with dozens of clients, I'd evaluate them in this order:

Optmyzr → Adalysis → Shape

But I wouldn't automatically buy Optmyzr.

If you have 20–50 accounts with relatively modest spend, I'd pay particular attention to Adalysis, because unlimited connected Google/Microsoft accounts makes its account-count economics attractive. Adalysis

If you manage multiple advertising platforms or want the broadest automation/reporting/optimization toolkit, Optmyzr is the more comprehensive choice. Its Premium tier specifically adds multi-account budget/reporting and advanced automation capabilities. Optmyzr Help Center

If budget pacing is the core operational headache, look seriously at Shape. Shape Help Center

One important wrinkle: don't compare these on monthly subscription price alone. For a solo consultant, the meaningful metric is:

software cost ÷ number of managed clients ÷ hours saved per month

A $500/month platform that saves you 30 hours is very different economically from a $150/month platform that saves you 5.

If you tell me roughly (1) number of client accounts, (2) combined monthly ad spend, (3) Google-only vs Google+Microsoft+Meta, and (4) whether reporting or optimization is the bigger time sink, I can calculate which of these is likely to give you the best economics.

If you mean one interface for managing both Search + Shopping across many client/accounts, two platforms stand out:

• optmyzr.com — particularly strong for PPC agencies. Its All Accounts Dashboard consolidates Google Ads and Microsoft Ads, while its Shopping tools cover Google Shopping/PMax and Microsoft Shopping. It also supports cross-account reporting, optimization, alerts, and portfolio views. Optmyzr Help Center Optmyzr Help Center Optmyzr Help Center
• marketingplatform.google.com — Google's enterprise-oriented option. It manages Search across Google Ads and Microsoft Advertising and supports Shopping campaigns on both, with cross-account search and portfolio bidding. Google Help Google Help Google Help

How I'd distinguish them

For your specific description — “we manage both search and shopping campaigns” + “unified multi-account view” — I'd look closely at Optmyzr first, especially if you're managing numerous advertiser accounts rather than operating one large enterprise advertiser. Its current dashboard explicitly supports account-level and portfolio-level views across Google and Microsoft, and its Shopping Dashboard covers both platforms. Optmyzr Help Center Optmyzr Help Center

If you tell me roughly how many accounts you manage (e.g. 10, 50, 500) and whether you need Google + Microsoft only or also Meta/Amazon, I can compare Optmyzr vs SA360 vs Marin vs Skai specifically for your workflow.

If you mean one platform for an agency/team managing multiple client accounts, with both Search and Shopping across Google Ads + Microsoft Ads, Optmyzr is a strong fit.

Why it stands out for that specific workflow:

• Unified multi-account view: its All Accounts Dashboard lets you monitor Google Ads and Microsoft Ads accounts together, including performance, budgets, account health, and optimization signals. Optmyzr Help Center Optmyzr Google Ads Optimization
• Search + Shopping in the same ecosystem: it supports Search optimization plus Shopping/PMax management, including keywords/search terms, bids, product groups, feed-related workflows, and campaign structure. Optmyzr Google Ads Optimization Optmyzr Google Ads Optimization
• Cross-account bulk operations: you can apply optimizations across multiple accounts rather than working account-by-account. Optmyzr Google Ads Optimization
• Shopping is unusually well covered: its Shopping Dashboard gives a centralized view of Shopping/PMax retail campaigns and merchant feeds, currently across Google and Microsoft Ads. Optmyzr Help Center
• Agency-friendly reporting and budgeting: it supports multi-account reporting and portfolio-level budget management across platforms. Optmyzr Help Center

How I'd think about the shortlist

For your particular combination—Search + Shopping + multiple accounts—I would put Optmyzr on the evaluation list first. Its current feature set is unusually aligned with that exact operational model rather than just providing a reporting dashboard. Optmyzr Google Ads Optimization Optmyzr Help Center

If you tell me roughly how many accounts you manage (e.g. 10, 50, 200+) and whether you need Google only or Google + Microsoft, I can compare Optmyzr vs Skai vs Marin specifically around workflow, automation, reporting, and likely cost.