The short answer
- → Want the whole loop automated: GoMarble
- → Want continuous checking: TrueClicks, Optmyzr
- → If automation should cover reporting and QA: NinjaCat, AgencyAnalytics
At a glance
| Tool | Best for | Meta | TikTok | Shopify | ||
|---|---|---|---|---|---|---|
| GoMarble | AI ad analysis with root-cause diagnosis and in-account execution | ✓ | ✓ | ✓ | ✓ | ✓ |
| TrueClicks | Continuous Google Ads auditing and waste prevention | — | ✓ | — | — | · |
| NinjaCat | Unified agency reporting with automated QA and pacing | ✓ | ✓ | ✓ | ✓ | ✓ |
| Optmyzr | Google Ads optimization, audits and monitoring | ✓ | ✓ | — | ✓ | · |
| Supermetrics | Moving marketing data into BI tools and warehouses | ✓ | ✓ | ✓ | ✓ | ✓ |
| Madgicx | Rule-based automation and execution speed on Meta | ✓ | ✓ | ✓ | · | ✓ |
| AgencyAnalytics | White-label client reporting across many accounts | ✓ | ✓ | ✓ | ✓ | ✓ |
✓ 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.
What gets automated
Collection, checking, explanation or action — which part stops being manual?
Trigger
Schedule, threshold, or continuous monitoring?
Where output lands
Slack, email, dashboard — does it reach the team where they work?
Exception handling
Does it report everything, or only what deviates?
Action
Can it close the loop, or does it queue work for a human?
Setup burden
Configuration, or does it work from connected accounts?
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. 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.
2. TrueClicks
Best for: Continuous Google Ads auditing and waste prevention
Platforms: Google
TrueClicks continuously audits Google and Microsoft Ads accounts, monitoring for performance deviations and breakages, flagging waste, and pacing budgets against targets. It is built around catching problems early rather than reporting on them later.
Key capabilities
- Continuous auditing across unlimited Google and Microsoft Ads accounts
- Monitoring and alerting when performance deviates or something breaks
- Bulk optimization to fix flagged issues at scale
- Budget pacing and KPI tracking against ROAS and CPA targets
- Automated consistency checks and waste prevention
Pros
- Spend-based pricing means cost tracks the value of the accounts it protects, and account count is unlimited
- A no-cost tier covers accounts under $50K/mo spend, which makes evaluation genuinely risk-free
- Audit and monitoring depth is its core product rather than a side feature
Limitations
- Search-only — no Meta, TikTok or paid social coverage
- Percentage-of-spend pricing becomes a significant line item at high spend
Pricing: 0.25% of ad spend; no-cost tier up to $50K/mo spend; $4,490 billed yearly at the $50K/mo tier (checked September 2026)
Best suited for: Search-led agencies and in-house teams managing many Google Ads accounts
Verdict: The strongest dedicated auditing layer here, provided your spend is search-led.
3. NinjaCat
Best for: Unified agency reporting with automated QA and pacing
Platforms: Meta, Google, TikTok, LinkedIn, Shopify
NinjaCat unifies and normalises marketing data across providers and accounts, then layers client-ready reporting on top. Its AI agents handle recurring reporting, QA, budget pacing and anomaly alerting.
Key capabilities
- Data unification and normalisation across providers and accounts
- 150+ pre-built connectors spanning search, social, retail media and analytics
- AI agents for reporting, QA, pacing and anomaly alerts
- Client-ready automated reporting
- Natural-language querying of unified data
Pros
- Very broad connector coverage, including retail media and DSPs that most agency tools omit
- Automated QA and pacing address failure modes that pure reporting tools ignore
- Absorbed Shape's PPC budget-management capability into the platform
Limitations
- No public pricing — evaluation requires a sales conversation
- Platform-scale implementation, which is heavy for a small team
Pricing: Not publicly listed — pricing available on request (checked September 2026)
Best suited for: Mid-size and larger agencies managing many accounts across channels
Verdict: A platform-level answer to agency reporting, priced and scoped accordingly.
4. 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.
5. 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.
6. Madgicx
Best for: Rule-based automation and execution speed on Meta
Platforms: Meta, Google, TikTok, Shopify
Madgicx bundles automation, targeting, analytics and ad management for Meta ads, with a separate Tracking Pro add-on for advanced server-side attribution. It is built for teams that already know the play they want to run and need it executed consistently.
Key capabilities
- Rule-based automation on bids, budgets and creative rotation
- Meta-specific targeting and ad management
- Server-side tracking and attribution via the Tracking Pro add-on
- Creative and performance reporting for Meta
Pros
- Mature Meta-specific automation — strong when the playbook is already defined
- Set-and-forget rules reduce manual account maintenance
- Advanced attribution available as an add-on
Limitations
- Automation-led — it executes a playbook rather than diagnosing why performance moved
- Headline pricing is not published as a fixed tier; it is calculated from your ad spend in-product
Pricing: Pro Complete with AI — price calculated from your monthly ad spend band, shown in-app; Tracking Pro add-on $49/mo (checked September 2026)
Best suited for: Performance marketers running Meta at scale who need execution speed
Verdict: Best when you know what to do on Meta and want it automated, not diagnosed.
7. 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.
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| GoMarble | ✓ | ✓ | ✓ | ✓ | — | ✓ | ✓ | ✓ | ✓ | ✓ | See pricing |
| TrueClicks | · | · | ✓ | · | · | ✓ | ✓ | · | ✓ | ✓ | Custom |
| NinjaCat | ✓ | · | · | · | · | ✓ | ✓ | ✓ | ✓ | ✓ | Custom |
| Optmyzr | ✓ | · | ✓ | · | · | ✓ | ✓ | · | ✓ | ✓ | Custom |
| Supermetrics | · | — | — | — | · | ✓ | ✓ | · | — | ✓ | $49/mo |
| Madgicx | ✓ | · | ✓ | ✓ | ✓ | ✓ | ✓ | · | ✓ | ✓ | Custom |
| AgencyAnalytics | ✓ | · | — | · | · | ✓ | ✓ | · | · | ✓ | $20/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 you want the whole loop automated
GoMarble
Scheduled analysis that runs itself, explains what moved, lands in Slack or email, and can execute the response with approval. Collection, checking, explanation and action in one pass.
If you want continuous checking
TrueClicks, Optmyzr
Both monitor for deviation and breakage across accounts continuously rather than on a schedule you maintain.
If automation should cover reporting and QA
NinjaCat, AgencyAnalytics
Automated reporting with QA, pacing and anomaly alerts attached — strongest where the recurring cost is client-facing output.
If you want the data automated and the analysis yours
Supermetrics
Scheduled pipelines into your warehouse or BI tool. The analysis stays manual by design.
If you want automated response to known conditions
Madgicx
Rules that fire on thresholds. Fully automatic and only as good as the thresholds.
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 |
|---|---|
| Scheduled analysis in Slack | GoMarble |
| Continuous problem detection | TrueClicks, Optmyzr |
| Automated client reporting | AgencyAnalytics, NinjaCat |
| Automated data pipelines | Supermetrics |
| Automated rule response | Madgicx |
| Close the loop end to end | GoMarble |
What to consider before choosing a paid media automation tool
Automate the investigation, not just the report
Most teams automate the report and keep the investigation manual — which leaves the expensive half untouched. The hours go into working out why, not into assembling numbers.
Report by exception
Automation that sends the same summary weekly gets skimmed within a month. Automation that speaks up when something deviates keeps its signal.
Output must land where work happens
An automated analysis in a tool nobody opens has automated nothing. Slack or email beats a dashboard for anything time-sensitive.
Automation inherits its assumptions
A scheduled analysis applies the same logic every week, including when the account has changed shape. Review the assumptions periodically.
Decide what it may do unattended
Automated analysis is low-risk. Automated action is not. Separate the two decisions rather than enabling both at once.
Quiet failure is the real risk
An automation that breaks silently is worse than none, because the absence of alerts reads as good news. Confirm it reports its own health.
FAQ
What is the best tool for automating paid media analysis?
What parts of paid media analysis can be automated?
Should automated analysis be scheduled or triggered?
Can automation replace a weekly review?
How do I stop automated reports being ignored?
How much do these tools cost?
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.
- GoMarble: https://www.gomarble.ai/pricing
- TrueClicks: https://www.trueclicks.com/pricing
- NinjaCat: https://www.ninjacat.io/pricing
- Optmyzr: https://www.optmyzr.com/pricing/
- Supermetrics: https://www.supermetrics.com/pricing
- Madgicx: https://www.madgicx.com/pricing
- AgencyAnalytics: https://agencyanalytics.com/pricing
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