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Alternatives · 5 options compared

Whatagraph alternatives for agency reporting in 2026

Whatagraph is the premium end of agency reporting, and price is usually what sends people looking — it starts from €699/mo billed annually, materially above the rest of the category. The second reason is structural: like every tool here, it presents and transforms data rather than diagnosing performance.

Agencies finding Whatagraph's entry tier hard to justify, or needing analysis rather than presentation.

The short answer

  • → Want per-client pricing at a lower entry point: AgencyAnalytics
  • → Platform-scale reporting with QA and pacing: NinjaCat
  • → Want the analysis rather than the report: GoMarble

At a glance

ToolBest for MetaGoogleTikTokLinkedInShopify
AgencyAnalytics White-label client reporting across many accounts ✓ ✓ ✓ ✓ ✓
NinjaCat Unified agency reporting with automated QA and pacing ✓ ✓ ✓ ✓ ✓
GoMarble AI ad analysis with root-cause diagnosis and in-account execution ✓ ✓ ✓ ✓ ✓
Klipfolio Custom dashboards built on blended marketing data ✓ ✓ · · ·
Supermetrics Moving marketing data into BI tools and warehouses ✓ ✓ ✓ ✓ ✓

✓ supported · — not supported · · not publicly stated

Why teams look for a Whatagraph alternative

Whatagraph is a genuinely capable reporting layer and its transformation features go beyond most of the category. The reasons teams reassess:

  • Entry pricing. From €699/mo billed annually, which is materially higher than other agency reporting tools in this list.
  • Annual billing only on published tiers, so there is no low-commitment way to trial it at scale.
  • Reporting, not diagnosis. It presents and transforms data rather than explaining why performance changed.
  • Source-credit pricing. Cost scales with data sources, which suits some rosters and penalises others.

Where Whatagraph is still the right answer: Where custom data shaping genuinely matters — transformations beyond what standard agency reporting tools allow, with unlimited users and reports so cost tracks sources rather than headcount — Whatagraph earns its premium and the cheaper tools here will constrain you.

How we compared the alternatives

We assessed every tool on the same 5 criteria, so the comparison stays like-for-like rather than reflecting whichever feature each vendor leads with.

Entry cost

What does it cost to start, and on what billing terms?

Data transformation

How far can you shape the data before it renders?

How pricing scales

Per source, per client, per user, or flat?

Analysis

Does it interpret, or present?

Warehouse support

Can it feed a warehouse as well as report?

The alternatives

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.

Our pick for this job

1. 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.

AgencyAnalytics pricing & product details →

2. 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.

NinjaCat pricing & product details →

3. 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.

GoMarble pricing & product details →

4. 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.

Klipfolio pricing & product details →

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.

Supermetrics pricing & product details →

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 analysisRoot-cause analysisExecutes changesCreative analysisAttributionReportingAutomationAI agentsBudget recommendationsMulti-account Starting price
AgencyAnalytics ✓ · — · · ✓ ✓ · · ✓ $20/mo
NinjaCat ✓ · · · · ✓ ✓ ✓ ✓ ✓ Custom
GoMarble ✓ ✓ ✓ ✓ — ✓ ✓ ✓ ✓ ✓ See pricing
Klipfolio · — — — · ✓ ✓ · — ✓ $120/mo
Supermetrics · — — — · ✓ ✓ · — ✓ $49/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 option does. This section answers the decision question — which one fits the job you were using Whatagraph for.

If you want per-client pricing at a lower entry point

AgencyAnalytics

If you need platform-scale reporting with QA and pacing

NinjaCat

If you want the analysis rather than the report

GoMarble

If you want to own the modelling layer

Klipfolio, Supermetrics

Best alternative by use case

Not a ranking — a mapping. Most teams need one of these jobs done well rather than the highest overall score.

Use caseRecommended tools
Client reporting at lower entry cost AgencyAnalytics
Large agency operations NinjaCat
Understanding why the numbers moved GoMarble
Owning the modelling yourself Klipfolio
Piping data to your own BI Supermetrics

What to consider before choosing a agency reporting tool

FAQ

What is the best Whatagraph alternative?
For most agencies, AgencyAnalytics at $20 per client per month covers the same core job at a far lower entry point. For larger operations needing QA and pacing, NinjaCat. If the real gap is that reports do not explain themselves, that is an analysis purchase and none of the reporting tools will close it.
Why is Whatagraph more expensive than other reporting tools?
It is priced as a premium layer — from €699/mo billed annually, with unlimited users and reports, and custom transformations that go beyond most agency tools. If you use that shaping capability the premium is defensible; if your reports are largely standard, you are paying for headroom you are not touching.
Is there a cheaper agency reporting tool?
Yes, several. AgencyAnalytics from $20 per client per month, Klipfolio from $120/mo on flat tiers, and Looker Studio free if you are willing to build. Each trades something — per-client cost scaling, dashboard caps, or build effort respectively.
Does Whatagraph analyse performance?
It presents and transforms data rather than diagnosing it. That is the category boundary rather than a shortcoming — no reporting tool in this list explains why a metric moved. Teams needing that run a separate analysis layer alongside.
Can Whatagraph replace a data pipeline?
Partly — it can act as both the reporting surface and a pipeline into a warehouse, which is unusual in this category and genuinely useful if you want one tool doing both. If the warehouse is the main requirement and reporting is secondary, a dedicated pipeline is usually cheaper.

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.

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