The short answer
- → If Google Ads is the bulk of your spend: Optmyzr
- → To know why performance changed, across channels: GoMarble
- → Client reporting more than analysis: AgencyAnalytics
At a glance
| Tool | Best for | Meta | TikTok | Shopify | ||
|---|---|---|---|---|---|---|
| Optmyzr | Google Ads optimization, audits and monitoring | ✓ | ✓ | — | ✓ | · |
| GoMarble | AI ad analysis with root-cause diagnosis and in-account execution | ✓ | ✓ | ✓ | ✓ | ✓ |
| Adzooma | Opportunity-based PPC audits on a small budget | ✓ | ✓ | — | — | · |
| AgencyAnalytics | White-label client reporting across many accounts | ✓ | ✓ | ✓ | ✓ | ✓ |
| Looker Studio | Free custom dashboards on Google Ads data | · | ✓ | · | · | · |
| Supermetrics | Moving marketing data into BI tools and warehouses | ✓ | ✓ | ✓ | ✓ | ✓ |
| Birch (formerly Revealbot) | Cross-platform rule-based ad automation | ✓ | ✓ | ✓ | · | · |
| AdManage | Launching large batches of ads quickly across channels | ✓ | ✓ | ✓ | ✓ | · |
✓ supported · — not supported · · not publicly stated
How we evaluated these tools
We assessed every tool on the same 6 criteria, so the comparison stays like-for-like rather than reflecting whichever feature each vendor leads with.
Google-specific depth
Does it handle search, shopping and PMax as first-class surfaces, or treat Google as one channel among many?
Analysis vs presentation
Does it interpret performance, or render data that you interpret yourself?
Account actions
Can it push changes back into Google Ads, or is it read-only? Read-only tools hand you a to-do list; the work of acting on it stays with your team.
Reporting and white-label
Can it produce client-ready output without manual assembly each cycle?
Multi-account handling
How does it deal with MCC structures and many sub-accounts?
Pricing model
Flat tier, per client, per user, or unpublished? The model matters more than the entry figure.
The tools
Every entry below uses the same structure — best for, platforms, what it does, capabilities, pros, limitations, pricing, ideal customer, verdict — so you can compare like with like.
1. Optmyzr
Best for: Google Ads optimization, audits and monitoring
Platforms: Meta, Google, LinkedIn
Optmyzr is a PPC optimization suite built primarily around Google Ads, combining optimizations, audits, insights and monitoring with reporting, budget management and campaign creation workflows. It is aimed at practitioners managing search and shopping at scale.
Key capabilities
- Optimizations, audits, insights and monitoring across connected accounts
- Budget monitoring and optimization
- Shopping and PMax campaign and feed management
- Reporting and dashboards
- Workflow management via Blueprints
- AI Sidekick assistant
Pros
- Genuinely deep on Google Ads specifically — audits, shopping and PMax management are first-class rather than bolted on
- Broad platform coverage for a search-led tool, including Microsoft, Amazon and Yahoo! Japan
- Built for practitioners running many accounts, with real-time data refresh
Limitations
- Tier pricing is not rendered on the public pricing page, so cost cannot be evaluated without contacting them
- Search and shopping led — creative analysis is not a focus
Pricing: Essentials, Premium and Enterprise tiers; prices not published on the public pricing page (checked September 2026)
Best suited for: PPC practitioners and agencies managing Google Ads at scale
Verdict: The most Google-native option here — strongest when search and shopping are the bulk of your spend.
2. GoMarble
Best for: AI ad analysis with root-cause diagnosis and in-account execution
Platforms: Meta, Google, TikTok, LinkedIn, Shopify
GoMarble is an AI agent for paid media. It connects to your ad accounts, explains why metrics moved rather than only charting that they did, and then acts on that diagnosis — GoMarble AI Agents edit bids, budgets and campaign status directly, and Ad Launch ships new campaigns. Both are gated on human approval.
Key capabilities
- Root-cause analysis — decomposes a ROAS or CPA change into spend, CPM, CTR, CVR and AOV contributions
- GoMarble AI Agents — execute against their own diagnosis: bid and budget changes, pausing and scaling ads
- Ad Launch — analyzes creatives, picks the campaign, drafts brand-voice copy and ships it, gated on approval
- Execution across five channels: Meta, Google, TikTok, LinkedIn and Bing
- Creative analysis — connects hooks, formats and angles to performance, and flags fatigue signals
- Cross-channel analysis — Meta and Google in a single account view
- Conversational reporting — ask for the analysis in chat or Slack instead of building a dashboard
- Scheduled reports and anomaly alerts delivered to Slack or email, with no infrastructure to build
- Reports that carry recommended actions, which Agents can then execute on approval
- AI agents + MCP servers — drive the same analysis from Claude or your own tooling
Pros
- Diagnosis and execution in one place — it acts on its own analysis rather than handing you a list
- Reporting is conversational rather than built — you ask a question and get the answer, instead of designing a dashboard and maintaining it
- Reports arrive where the team already works (Slack or email) and carry actions, not just numbers
- Changes are gated on human approval rather than applied silently
- Meta and Google analysed together instead of in separate silos
- Open MCP servers mean the analysis is reachable from Claude and other AI clients, not locked in a dashboard
Limitations
- Not an attribution platform — no multi-touch modelling or incrementality testing, so it complements rather than replaces Northbeam or Triple Whale for measurement
- Creative tagging taxonomy is less granular than a dedicated creative-ops tool like Motion
- Not a white-label client-reporting platform — no branded client portal or per-client packaging, which agencies reporting to many clients will still need elsewhere
- Fewer prebuilt dashboard templates than the incumbent reporting suites
Pricing: See our pricing page for current plans View GoMarble pricing →
Best suited for: Performance marketers, in-house paid media teams and agencies who want diagnosis and execution in one agent
Verdict: The strongest fit when you want the same system to work out why performance moved and then make the change, across Meta and Google together.
3. Adzooma
Best for: Opportunity-based PPC audits on a small budget
Platforms: Meta, Google
Adzooma audits, optimizes and tracks PPC campaigns across Google, Microsoft and Meta. Its core loop is surfacing 'opportunities' — suggested fixes on connected accounts — alongside performance reports, budget tracking and alerts.
Key capabilities
- Automated PPC performance reports (monthly, weekly or daily by tier)
- Opportunity analysis with suggested account fixes
- PPC alerts and budget tracking
- SEO and web metrics profiles alongside PPC
- Unlimited ad accounts connected even on the entry tier
Pros
- A no-cost tier exists, which makes evaluation genuinely low-risk
- Paid tiers are inexpensive relative to the rest of this category
- Unlimited user seats from the Silver tier upward
Limitations
- Opportunity suggestions are rule-driven — it flags what looks improvable, not why performance changed
- Reporting cadence is gated by tier: the entry tier reports monthly, which is too slow for active account management
Pricing: No-cost tier available; Silver $69/mo; Gold $179/mo (checked September 2026)
Best suited for: Small teams and solo practitioners managing Google and Microsoft Ads
Verdict: Best value in the category for audit-style opportunity spotting on a limited budget.
4. AgencyAnalytics
Best for: White-label client reporting across many accounts
Platforms: Meta, Google, TikTok, LinkedIn, Shopify
AgencyAnalytics is a reporting platform built for agencies. It pulls from 85+ marketing data sources into white-labelled dashboards and automated client reports, with a client portal, goals and anomaly detection.
Key capabilities
- Automated client reporting with scheduled delivery
- White-label branding and a client portal
- 85+ data sources spanning ads, analytics, SEO and ecommerce
- Goals, alerts and anomaly detection
- AI insights and analysis
- Benchmarks and forecasting
Pros
- Per-client pricing maps cleanly onto how agencies actually bill
- Very broad connector coverage beyond paid media — SEO, email and ecommerce in the same report
- White-labelling and the client portal are core features, not add-ons
Limitations
- A reporting layer rather than an analysis or optimization tool — it presents data, it does not diagnose performance or act on accounts
- Per-client pricing scales linearly, so cost grows directly with roster size
Pricing: Core from $20 per client / month (billed annually); Enterprise custom for 25+ clients (checked September 2026)
Best suited for: Agencies reporting to multiple clients across several channels
Verdict: The strongest fit when the job is client reporting rather than performance analysis.
5. Looker Studio
Best for: Free custom dashboards on Google Ads data
Platforms: Google
Looker Studio is Google's dashboarding and reporting layer. It connects directly to Google Ads and builds shareable reports at no cost. A paid Pro subscription adds enterprise content management, team workspaces and per-user licensing.
Key capabilities
- Native Google Ads connector, including manager (MCC) accounts with up to 50 sub-accounts per data source
- Custom dashboards and shareable reports at no cost
- Built-in and partner connectors for non-Google sources
- Pro subscription adds team workspaces, content management and project-level permissions
Pros
- Free for the core product, which makes it the default starting point for Google Ads dashboards
- First-party Google Ads connector — no third-party pipeline needed for Google data
- Fully customisable, with no per-client or per-account fee
Limitations
- A visualisation layer only — it charts data and does not analyse, diagnose or act
- Non-Google sources generally need a paid partner connector such as Supermetrics, so a true cross-channel view is not actually free
- Someone has to build and maintain the reports; there is no out-of-the-box paid-media template
- Auction Insights fields are no longer available to Google Ads data sources
Pricing: No-cost version; Pro subscription priced per user (figure not published in Google's docs) (checked September 2026)
Best suited for: Teams that want custom Google Ads dashboards and have someone to build them
Verdict: The default free option for Google Ads dashboards — strongest when you need custom views and weakest when you need interpretation.
6. Supermetrics
Best for: Moving marketing data into BI tools and warehouses
Platforms: Meta, Google, TikTok, LinkedIn, Shopify
Supermetrics is a marketing data platform that connects, manages and moves data from advertising and marketing sources into BI tools, spreadsheets and warehouses. It is a data layer rather than an analysis layer.
Key capabilities
- Marketing data pipelines across a large connector catalogue
- Destinations including Looker Studio, Google Sheets, BigQuery and Snowflake
- Scheduled refreshes and managed transfers
- Natural-language querying of the data layer via its Claude integration
Pros
- The most mature option for reliable marketing data pipelines
- Best fit when a team already owns its reporting in Looker, Tableau or Power BI
- Broad connector catalogue beyond just ad platforms
Limitations
- Moves and models data — it does not interpret performance or explain why metrics changed
- Requires a BI tool and someone to build the reporting layer on top
Pricing: From $49/mo (Starter); Growth $199/mo; Pro $499/mo (checked September 2026)
Best suited for: Marketing and data teams building custom BI and reporting
Verdict: Choose Supermetrics for the pipeline, not the analysis — it pairs with an analysis layer rather than replacing one.
7. Birch (formerly Revealbot)
Best for: Cross-platform rule-based ad automation
Platforms: Meta, Google, TikTok
Birch automates campaign management across major ad platforms using rules. Teams define conditions and actions, and Birch executes them continuously against connected accounts.
Key capabilities
- Rule-based automation across Meta, Google, TikTok and other platforms
- Automated budget and bid actions
- Official partner integrations with major ad platforms
- Multi-account management for agencies
Pros
- Mature, flexible automation rules spanning several platforms in one place
- Clean integration story via official platform partnerships
Limitations
- Automation-first — it executes rules rather than diagnosing why performance moved
- Rule execution only — no creative analysis or performance diagnosis layer
Pricing: Essential $49/mo; Pro $99/mo; Enterprise custom — scaled by monthly ad spend (checked September 2026 — revealbot.com now redirects to bir.ch)
Best suited for: Agencies and ecommerce teams running paid media at volume
Verdict: The right pick when the need is reliable rule execution across platforms.
8. AdManage
Best for: Launching large batches of ads quickly across channels
Platforms: Meta, Google, TikTok, LinkedIn
AdManage is built for launch throughput: uploading once and publishing large batches of ads across channels with automated naming conventions and creative enhancement controls.
Key capabilities
- Bulk launching in large batches with automated naming
- Broad channel coverage beyond the main two platforms
- Enhancement lock to prevent platform-side creative alterations
- Automation rules on higher tiers
Pros
- Removes the launch bottleneck for teams shipping large creative batches
- Wider launch surface than most tools in this category
- Flat monthly fee rather than a percentage of ad spend
Limitations
- Solves launching, not analysis — no performance diagnosis layer
- Pricing is listed in GBP, which adds an FX step for non-UK buyers
Pricing: Essential £199.99/mo (1 account, 1 platform); In-house £499.99/mo (5 accounts); Agency £999.99/mo (10 accounts); Enterprise custom (checked September 2026)
Best suited for: Media buyers and agencies whose bottleneck is launch throughput
Verdict: A launch tool — pair it with an analytics layer rather than comparing the two.
Full capability comparison
The capability matrix, so you can answer questions like "which of these do both Meta and Google, with creative analysis?" without rereading the list.
| Tool | AI analysis | Root-cause analysis | Executes changes | Creative analysis | Attribution | Reporting | Automation | AI agents | Budget recommendations | Multi-account | Starting price |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Optmyzr | ✓ | · | ✓ | · | · | ✓ | ✓ | · | ✓ | ✓ | Custom |
| GoMarble | ✓ | ✓ | ✓ | ✓ | — | ✓ | ✓ | ✓ | ✓ | ✓ | See pricing |
| Adzooma | · | · | ✓ | · | · | ✓ | ✓ | · | ✓ | ✓ | $69/mo |
| AgencyAnalytics | ✓ | · | — | · | · | ✓ | ✓ | · | · | ✓ | $20/mo |
| Looker Studio | · | — | — | — | · | ✓ | · | · | — | ✓ | Custom |
| Supermetrics | · | — | — | — | · | ✓ | ✓ | · | — | ✓ | $49/mo |
| Birch (formerly Revealbot) | · | · | ✓ | · | · | ✓ | ✓ | · | ✓ | ✓ | $49/mo |
| AdManage | · | — | ✓ | · | — | · | ✓ | · | — | ✓ | £199.99/mo |
✓ supported · — not supported · · not publicly stated. Pricing as published on each vendor's site; see the methodology note for dates.
How the tools differ
The list above tells you what each tool does. This section answers the decision question — which one fits the job you actually have.
If Google Ads is the bulk of your spend
Optmyzr
The most Google-native option here — audits, shopping and PMax feed management are core product rather than adjacent features. For a search-led account it goes deeper than we do.
If you need to know why performance changed, across channels
GoMarble
Our edge is the decomposition and the cross-channel view, not Google-specific depth. If you run Google alongside Meta, that matters; if you run Google alone, Optmyzr is the sharper tool.
If you need client reporting more than analysis
AgencyAnalytics
Per-client pricing, white-labelling and a client portal are the core product rather than add-ons.
If you want custom dashboards at no cost
Looker Studio
Google's own dashboard layer with a native Google Ads connector. Free, fully customisable, and entirely dependent on someone building and maintaining the reports.
If you need the data in your own BI stack
Supermetrics
A pipeline rather than an analysis layer — it pairs with Data Studio or a warehouse rather than replacing either.
If you are audit-shopping on a tight budget
Adzooma
A no-cost tier makes evaluation low-risk, though its suggestions are rule-driven rather than diagnostic.
If what you actually need is execution, not analysis
Birch (formerly Revealbot), AdManage
Both are included because they are routinely shortlisted alongside analytics tools. Neither analyses performance — they automate and launch once you have decided what to do. GoMarble and Optmyzr both span analysis and execution, which is the distinction worth checking before buying two tools.
Best tool by use case
Not a ranking — a mapping. Most teams need one of these jobs done well rather than the highest overall score.
| Use case | Recommended tools |
|---|---|
| Audit a Google Ads account | Optmyzr, Adzooma |
| Shopping and PMax management | Optmyzr |
| Explain why performance changed | GoMarble |
| Cross-channel Google + Meta analysis | GoMarble, Supermetrics |
| White-label client reporting | AgencyAnalytics |
| Custom dashboards | Looker Studio, Supermetrics |
| Automate bid and budget rules | Birch (formerly Revealbot) |
| Bulk campaign launching | AdManage |
What to consider before choosing a Google Ads analytics tool
Decide which of the four groups you need
Optimization suites, reporting platforms, dashboard layers and analysis tools are not substitutes. A shortlist that mixes them is comparing products that solve different problems.
Check read-only versus write access
Some tools only read your account; others can change bids, budgets and campaign status. The second category needs a clear approval workflow and tighter permissions.
Look at how it handles MCC structures
Agencies live in manager accounts. Ask how many sub-accounts a single data source or dashboard can span — Data Studio, for instance, caps a Google Ads data source at 50 sub-accounts.
Free dashboards are rarely free end-to-end
Data Studio itself costs nothing, but pulling non-Google channels into it generally needs a paid partner connector. Budget for the pipeline, not just the dashboard.
Understand how pricing scales
Per-client pricing grows with your roster, per-user pricing with your team, and unpublished pricing with whatever the sales conversation produces. The entry figure rarely predicts the bill at scale.
Test against a question you already know the answer to
Point the tool at a period where you know what went wrong. A tool that cannot reconstruct a known problem will not catch the next one.
FAQ
What is the best Google Ads analytics tool?
Is Google Ads' own reporting not enough?
What is the best free Google Ads analytics tool?
What is the difference between a Google Ads analytics tool and an optimization tool?
Can these tools analyze Google Ads and Meta Ads together?
How much do Google Ads analytics tools cost?
Do agencies need a different tool than in-house teams?
Is Looker Studio the same as Data Studio?
Methodology & sources
Product capabilities and pricing were reviewed from publicly available product documentation and pricing pages, with the check date shown against each tool above. Features and pricing change — verify details with the vendor before purchasing. Capability marks reflect what each vendor states publicly; where a capability is not publicly documented we mark it "·" rather than assuming it is absent.
- Optmyzr: https://www.optmyzr.com/pricing/
- GoMarble: https://www.gomarble.ai/pricing
- Adzooma: https://adzooma.com/pricing/
- AgencyAnalytics: https://agencyanalytics.com/pricing
- Looker Studio: https://docs.cloud.google.com/data-studio/connect-to-google-ads
- Supermetrics: https://www.supermetrics.com/pricing
- Birch (formerly Revealbot): https://bir.ch
- AdManage: https://admanage.ai/pricing
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