The short answer
- → Send branded client reports on a schedule: AgencyAnalytics
- → If reports need custom shaping: Whatagraph, Klipfolio
- → If the commentary is the expensive part: GoMarble
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 | ✓ | ✓ | ✓ | ✓ | ✓ |
| NinjaCat | Unified agency reporting with automated QA and pacing | ✓ | ✓ | ✓ | ✓ | ✓ |
| Supermetrics | Moving marketing data into BI tools and warehouses | ✓ | ✓ | ✓ | ✓ | ✓ |
| Klipfolio | Custom dashboards built on blended marketing data | ✓ | ✓ | · | · | · |
| Vaizle | Low-cost multi-channel ad analytics with natural-language querying | ✓ | ✓ | ✓ | ✓ | ✓ |
✓ 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.
Scheduling and delivery
PDF, email, Slack, live link — and can cadence differ per recipient?
White-labelling
Can output carry your brand end to end?
Commentary
Does anything write the explanation, or is that always manual?
Connector coverage
Google and Microsoft only, or paid social too?
Setup per report
How long to stand up a new recurring report?
Pricing model
Per client, per dashboard, per data source?
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. 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.
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. 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.
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 |
| NinjaCat | ✓ | · | · | · | · | ✓ | ✓ | ✓ | ✓ | ✓ | Custom |
| Supermetrics | · | — | — | — | · | ✓ | ✓ | · | — | ✓ | $49/mo |
| Klipfolio | · | — | — | — | · | ✓ | ✓ | · | — | ✓ | $120/mo |
| Vaizle | ✓ | · | · | · | · | ✓ | · | · | · | ✓ | $9/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 send branded client reports on a schedule
AgencyAnalytics
Scheduled delivery, white-labelling and a client portal as core product at per-client pricing. For branded client-facing output specifically this remains the most direct fit — we have no client portal and do not try to compete on that.
If reports need custom shaping
Whatagraph, Klipfolio
Whatagraph for transformations with unlimited users; Klipfolio for modelling and joins at flat tiers.
If the commentary is the expensive part
GoMarble
Every tool here automates assembly, which is the cheap half. The recurring cost is the paragraph explaining what changed and why — that is generated here, delivered to Slack or email, with recommended actions Agents can execute on approval.
If reporting needs QA attached
NinjaCat
Automated QA and pacing alongside scheduled reporting, across a very broad connector set.
If reports live in your own BI tool
Supermetrics
Automates the pipeline; the report is yours to build and maintain.
If cost is the constraint
Vaizle
Scheduled multi-channel reporting from $9/mo, with less polish.
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 white-label client reports | AgencyAnalytics, Whatagraph |
| Automated commentary | GoMarble |
| Reports plus QA and pacing | NinjaCat |
| Custom report design | Klipfolio, Whatagraph |
| Automated pipelines to BI | Supermetrics |
| Reports delivered to Slack | GoMarble, Vaizle |
What to consider before choosing a PPC reporting automation tool
Assembly is the cheap half
Automating the build saves real hours, and the expensive hours are the commentary explaining what moved. Check which half a tool actually removes.
Automated reports decay quietly
A scheduled report keeps sending after the account structure changes, becoming steadily less relevant while looking fine. Review templates quarterly.
Match cadence to decision rhythm
Weekly reporting on an account reviewed monthly generates unread attachments. Report when someone will act.
Agree the conversion basis once
Platform-reported and store-side numbers differ. Settle which the report leads with at the start, or relitigate it every cycle.
Automated commentary needs verification
Generated narrative reads as confident whether or not the finding is solid. Prefer output that shows the decomposition behind the sentence.
Check per-report setup cost
Thirty minutes versus three hours per new client report is the difference between a template and a project, repeated on every win.
FAQ
What is the best tool for automating PPC reporting?
Can PPC reporting be fully automated?
How do I automate Google Ads reporting for clients?
Should reports go to email, Slack or a portal?
How much does PPC reporting automation cost?
What makes an automated report actually useful?
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
- NinjaCat: https://www.ninjacat.io/pricing
- Supermetrics: https://www.supermetrics.com/pricing
- Klipfolio: https://www.klipfolio.com/pricing
- Vaizle: https://vaizle.com/pricing
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