The short answer
- → Report to many clients: AgencyAnalytics
- → If reports need custom data shaping: Whatagraph
- → Own a BI stack already: Supermetrics, Klipfolio
At a glance
| Tool | Best for | Meta | TikTok | Shopify | ||
|---|---|---|---|---|---|---|
| GoMarble | AI ad analysis with root-cause diagnosis and in-account execution | ✓ | ✓ | ✓ | ✓ | ✓ |
| AgencyAnalytics | White-label client reporting across many accounts | ✓ | ✓ | ✓ | ✓ | ✓ |
| Whatagraph | White-label multi-channel client reporting | ✓ | ✓ | ✓ | ✓ | ✓ |
| Supermetrics | Moving marketing data into BI tools and warehouses | ✓ | ✓ | ✓ | ✓ | ✓ |
| NinjaCat | Unified agency reporting with automated QA and pacing | ✓ | ✓ | ✓ | ✓ | ✓ |
| Klipfolio | Custom dashboards built on blended marketing data | ✓ | ✓ | · | · | · |
| Vaizle | Low-cost multi-channel ad analytics with natural-language querying | ✓ | ✓ | ✓ | ✓ | ✓ |
| Triple Whale | Ecommerce measurement and attribution on the Shopify stack | · | · | · | · | ✓ |
✓ 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.
Delivery
Scheduled PDF, email, live portal — how does the report actually reach its reader?
White-labelling
Can it carry your branding rather than the vendor's?
Connector coverage
Meta alone, or Meta alongside Google, TikTok and Shopify in one report?
Pricing model
Per client, per dashboard or per data source — this decides the bill at scale far more than the entry price.
Build effort
Templates out of the box, or a canvas someone has to design and maintain?
Beyond presentation
Does anything interpret the numbers, or is it purely a rendering layer?
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. 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.
3. Whatagraph
Best for: White-label multi-channel client reporting
Platforms: Meta, Google, TikTok, LinkedIn, Shopify
Whatagraph builds multi-channel marketing reports and dashboards for agencies, with white-labelling, scheduled PDF delivery, custom data transformations, and onward transfer of data to BigQuery or a BI layer.
Key capabilities
- Report creation with custom transformations and aggregations
- White-labelling and automated PDF email delivery
- Goals and alerts on KPI monitoring
- 68 integrations spanning paid media, analytics and ecommerce
- Data transfer to BigQuery and BI tools on higher tiers
Pros
- Unlimited users and reports on published tiers — cost scales with data sources, not headcount
- Custom transformations go beyond what most agency reporting tools allow
- Can act as both the reporting surface and a pipeline into a warehouse
Limitations
- Entry pricing is materially higher than other agency reporting tools in this list
- Annual billing only on published tiers
- A reporting layer — it presents and transforms data rather than diagnosing performance
Pricing: Max from €699/mo (billed annually, from 50 source credits); Prime custom (checked September 2026)
Best suited for: Agencies reporting across many channels and clients
Verdict: A premium agency reporting layer — strongest where custom data shaping matters.
4. 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.
5. 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.
6. Klipfolio
Best for: Custom dashboards built on blended marketing data
Platforms: Meta, Google
Klipfolio builds customisable dashboards and reports from blended data sources, with data modelling and joins, scheduled PDF reports and shareable published links. It is a BI layer aimed at marketing teams and agencies.
Key capabilities
- Highly customisable dashboards for internal teams and clients
- Data modelling and joins across sources
- Scheduled reports and PDF delivery
- Published view-only links for sharing
- 130+ data integrations including Google Ads, Google Analytics and Facebook
Pros
- Data modelling and joins go further than most marketing dashboard tools
- Flat tier pricing rather than per-client, which suits in-house teams
- Published links make sharing straightforward without extra seats
Limitations
- Tiers are capped by dashboard count, which constrains agencies with many clients
- A visualisation and modelling layer — it does not interpret performance or act on accounts
- Requires someone to build and maintain the dashboards
Pricing: Base $120/mo; Grow $190/mo; Team $310/mo; Team+ $600/mo (billed annually) (checked September 2026)
Best suited for: Marketing teams and agencies that want to build their own dashboards
Verdict: A capable BI layer for teams willing to build — not a turnkey paid-media view.
7. Vaizle
Best for: Low-cost multi-channel ad analytics with natural-language querying
Platforms: Meta, Google, TikTok, LinkedIn, Shopify
Vaizle provides ad, social, web and ecommerce analytics across Meta, Google, LinkedIn and TikTok, with a natural-language interface for querying account data and a competitor analytics module.
Key capabilities
- Ad analytics across Meta, Google, LinkedIn and TikTok
- Competitor analytics on Meta, Google and LinkedIn ads
- Social, web (GA, Search Console) and Shopify analytics in one place
- Natural-language querying of account data
Pros
- Among the least expensive multi-channel analytics options, starting at $9/mo
- Competitor ad analytics included rather than sold separately
- Covers paid, social, web and ecommerce in a single tool
Limitations
- Credit-based pricing means heavy querying consumes the allowance quickly
- Breadth over depth — less rigorous than specialist tools on any single channel
Pricing: AI Lite $9/mo; AI Starter $59/mo; AI Pro $119/mo (checked September 2026)
Best suited for: Small teams and agencies wanting broad coverage at low cost
Verdict: The budget option for multi-channel visibility, with the trade-offs that implies.
8. Triple Whale
Best for: Ecommerce measurement and attribution on the Shopify stack
Platforms: Shopify
Triple Whale positions itself as a complete intelligence platform for ecommerce, unifying measurement, analytics, AI, creative and automation. It centralises advertising and store data to provide attribution and reporting across the funnel.
Key capabilities
- Attribution via its own pixel, alongside MMM and incrementality in its measurement suite
- Unified ecommerce and ad reporting with a large prebuilt dashboard library
- Creative analytics on higher tiers
- Deep native integration with the Shopify stack
Pros
- Genuinely strong ecommerce measurement — attribution, MMM and incrementality in one place
- Deep Shopify-stack integration and a large library of ready-made dashboards
- Free tier available for basic pixel tracking and first/last-click attribution
Limitations
- Built around ecommerce — weaker fit for lead-gen, B2B or app advertisers
- Attribution depth comes with a setup and data-hygiene burden
Pricing: From $179/mo (Starter); Advanced $259/mo; custom from $539/mo (checked May 2026 — Triple Whale no longer publishes tier prices publicly)
Best suited for: Ecommerce operators, founders and agencies wanting unified funnel measurement
Verdict: The better choice when attribution and store-level measurement matter more than ad-account diagnosis.
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 |
| AgencyAnalytics | ✓ | · | — | · | · | ✓ | ✓ | · | · | ✓ | $20/mo |
| Whatagraph | ✓ | · | — | · | · | ✓ | ✓ | · | · | ✓ | €699/mo |
| Supermetrics | · | — | — | — | · | ✓ | ✓ | · | — | ✓ | $49/mo |
| NinjaCat | ✓ | · | · | · | · | ✓ | ✓ | ✓ | ✓ | ✓ | Custom |
| Klipfolio | · | — | — | — | · | ✓ | ✓ | · | — | ✓ | $120/mo |
| Vaizle | ✓ | · | · | · | · | ✓ | · | · | · | ✓ | $9/mo |
| Triple Whale | ✓ | · | · | ✓ | ✓ | ✓ | ✓ | · | · | ✓ | $179/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 report to many clients
AgencyAnalytics
Per-client pricing with white-labelling and a portal included. At $20 per client it maps onto how agencies actually bill.
If reports need custom data shaping
Whatagraph
Custom transformations and aggregations beyond what most agency tools expose, at a materially higher entry price.
If you own a BI stack already
Supermetrics, Klipfolio
Supermetrics pipes Meta data where your analysis lives; Klipfolio builds the views with modelling and joins.
If reporting needs QA and pacing attached
NinjaCat
Automated QA, pacing and anomaly alerting on a very broad connector set.
If Meta sits inside an ecommerce picture
Triple Whale
Reports Meta alongside store revenue and attribution rather than as an isolated channel.
If you would rather ask for a report than build one
GoMarble
Reporting here is conversational: ask in chat or Slack and get the analysis, with scheduled reports and anomaly alerts arriving in Slack or email. The reports carry recommended actions, and Agents can execute them on approval. What we do not do is white-label client packaging — for that, AgencyAnalytics remains the better buy.
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 |
|---|---|
| White-label client reporting | AgencyAnalytics, Whatagraph |
| Custom report design | Whatagraph, Klipfolio |
| Pipe Meta data to a warehouse | Supermetrics |
| Automated QA and pacing | NinjaCat |
| Meta plus store revenue | Triple Whale |
| Budget multi-channel reporting | Vaizle |
| Explain what the report shows | GoMarble |
| Scheduled PDF delivery | AgencyAnalytics, Whatagraph, Klipfolio |
What to consider before choosing a Meta Ads reporting tool
The billing unit matters more than the price
Per-client grows with your roster, per-dashboard with your output, per-source with your channel mix. A $20 entry and a $120 entry can invert entirely at twenty clients.
Meta-only reporting ages badly
The moment budget moves to Google or TikTok, a Meta-only report stops answering the question it was built for. Check connector coverage against where spend is heading, not where it is.
Attribution discrepancies will surface
Meta's reported conversions rarely match store-side orders. Decide which number the report presents and state the basis, or every cycle reopens the argument.
Someone has to own the template
Blank-canvas tools are powerful until their author leaves. Templated tools trade flexibility for continuity — pick the failure you can absorb.
Reporting is not analysis, and neither is execution
Every tool here renders data well. None of the pure reporting layers explains why CPA rose, and none can pause an ad. Both happen elsewhere — decide whether that is a second tool or your team's manual time.
Check the account ceiling
Limits on connected ad accounts per report or per tier bite at agency scale in ways they never do for a single advertiser.
FAQ
What is the best Meta Ads reporting tool?
Can I report on Meta Ads for free?
How much do Meta Ads reporting tools cost?
Why don't Meta's numbers match my Shopify numbers?
Can one tool report on Meta and Google together?
What is the difference between reporting and analytics tools?
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
- AgencyAnalytics: https://agencyanalytics.com/pricing
- Whatagraph: https://whatagraph.com/pricing
- Supermetrics: https://www.supermetrics.com/pricing
- NinjaCat: https://www.ninjacat.io/pricing
- Klipfolio: https://www.klipfolio.com/pricing
- Vaizle: https://vaizle.com/pricing
- Triple Whale: https://www.triplewhale.com/pricing
See what GoMarble does on your own account.
Connect Meta or Google in one click. We'll run the same analysis you just read about — on your live spend, in under 5 minutes.