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Curated ToolThis tool is part of our curated AI directory. We only include tools that meet our standards for relevance, usability and real-world value.

Whatagraph

Whatagraph is a marketing reporting platform that helps agencies and teams consolidate campaign data into visual dashboards and client-ready reports. It is commonly used for seo client reporting across channels such as search, paid ads, social, and web analytics.
Analytics & Reporting

FYAI Score

8.6 / 10

Based on 279 reviews

Pricing:

Paid only

Best for:

Marketing agencies and in-house teams standardizing cross-channel reporting

Score Breakdown

  • Ease of use8.7 / 10
  • Features8.6 / 10
  • Pricing7.9 / 10
  • Integrations8.8 / 10
  • Support9.0 / 10

PRODUCT PREVIEW

What this AI tool does

Whatagraph is a marketing intelligence and reporting platform for agencies and in-house marketing teams that need one governed foundation for cross-channel performance data. It brings data visualization, report generation, dashboard generation, and AI-assisted analysis into a workflow where metrics are defined once and reused consistently across client reports, internal dashboards, and strategic reviews. For teams managing many campaigns, the main problem it addresses is not simply making reports look better. It reduces the fragmentation that happens when paid media, SEO, social, email, analytics, and client-facing reports all live in separate tools with slightly different numbers. Whatagraph helps marketing teams replace manual reconciliation with shared metric logic, so performance conversations can focus on decisions rather than spreadsheet disputes. Whatagraph is for marketing agencies, multi-brand companies, and performance teams that need reliable seo client reporting at scale. Its value is especially clear when account managers, analysts, and leadership all need to trust the same numbers, even if they consume them in different formats. A client may see a polished recurring report, while an internal team works from a live dashboard using the same underlying definitions. At the center of the platform is the idea that reporting should be governed before it is automated. Instead of building one-off charts for every stakeholder, teams can standardize metrics, templates, and data sources, then adapt outputs for different audiences. This makes the tool closer to a marketing-focused business intelligence layer than a simple report builder. Whatagraph is best at turning scattered marketing data into consistent, reusable reporting assets for agencies and teams that need to explain performance clearly. The platform supports visual storytelling through charts, dashboards, and scheduled reports, but its broader purpose is operational consistency. It helps teams move from ad hoc reporting to a repeatable reporting system that can support client communication, internal performance management, and faster analysis. AI-assisted analysis adds another layer to that workflow by helping users interpret data rather than only display it. In practice, this matters because marketers often need to identify what changed, where performance improved or declined, and which channels deserve attention. The AI component fits best when it works from a clean, governed data foundation, which is why the platform’s emphasis on reusable metrics is central to its positioning. When comparing Whatagraph alternatives, the key distinction is that Whatagraph is built specifically around marketing reporting rather than general-purpose analytics alone. General business intelligence tools may offer deeper custom modeling, while lightweight dashboard tools may be faster for simple visual summaries. Whatagraph sits between those categories, with a stronger focus on client-ready marketing reporting, reusable templates, cross-channel data, and agency workflows. A practical Whatagraph review should look at more than how quickly a report can be created. The more important question is whether the platform can help a team standardize definitions, reduce duplicate work, and maintain confidence in shared metrics over time. For organizations assessing Whatagraph pricing, the value case usually depends on reporting volume, number of clients or brands, and the cost of analyst time currently spent rebuilding or reconciling reports. Overall, Whatagraph is a structured reporting and marketing data platform for teams that have outgrown fragmented dashboards and manual client reporting. Its story is about making marketing performance data reusable, governed, and explainable, so agencies and marketing departments can scale reporting without losing trust in the numbers.

Use cases

Best for

Dashboard Generation

Generate cross-channel marketing dashboards from a governed metric layer so the same KPIs stay consistent across views.

Data Visualization

Whatagraph visualizes marketing performance by turning defined metrics into charts and tables for reports and dashboards.

Business Intelligence

Use a governed data foundation to analyze cross-channel marketing data and reuse defined metrics in AI-assisted insights.

ANALYSIS

Strengths & limitations

Strengths
  • Best suited to agencies and multi-brand marketing teams because shared metric definitions keep client reports, dashboards, and AI-assisted analysis aligned.
  • Strong fit for cross-channel reporting at scale because teams can reuse one governed marketing data foundation instead of reconciling numbers across separate tools.
  • Useful for AI-assisted marketing analysis because IQ chat and MCP access can work from governed reporting data rather than disconnected AI outputs.
Limitations
  • Less suitable for very small teams with simple reporting needs because the governed data-layer approach can be heavier than a lightweight dashboard tool.
  • Not ideal for teams seeking a free reporting option because Whatagraph is a paid-only platform.
  • Less suitable as a general-purpose business intelligence tool because its structure and audience are centered on marketing data, client reporting, and cross-channel performance workflows.

Evaluation

FYAI score breakdown

Our structured evaluation across five key criteria

8.6 / 10

Overall score

Based on 279 reviews

  • Ease of use8.7 / 10
  • Features8.6 / 10
  • Pricing7.9 / 10
  • Integrations8.8 / 10
  • Support9.0 / 10

What users say

Findings from public reviews, documentation and community sources.

  • Ease of use

    G2’s 279-review product signal says users “consistently praise the ease of use and customization options” and highlight creating visually appealing reports quickly.

  • Features

    Whatagraph’s features page describes “60+ integrations,” no-code transformations, custom metrics, and destinations such as BigQuery and Looker Studio.

  • Pricing

    Whatagraph’s pricing page lists Max at “€699 from per month, billed annually” with 50+ source credits, unlimited users/reports, a 14-day trial, and live chat/support. The pricing page says Prime is custom-priced and some items are add-ons.

  • Integrations

    Whatagraph’s features page lists “60+ integrations” across PPC, social, email, analytics, CRM, SEO, eCommerce, calls, custom connections, API, Google Sheets, BigQuery, and on-demand sources.

  • Support

    Whatagraph’s pricing page states that all plans include “live chat support and regular office hours.” The pricing page says Max and Prime include a “Dedicated Customer Success Manager,” and Prime adds tailored onboarding and priority support.

Who is this for?

Best for marketing teams or agencies that need multi-channel reporting, Whatagraph’s features page lists “60+ integrations” and destinations such as BigQuery and Looker Studio. Less suited to teams looking for a low public entry price, Whatagraph’s pricing page lists Max at “€699 from per month, billed annually,” while Prime is custom-priced and some items are add-ons.

PRODUCT PREVIEW

Feature highlights

Governed metrics

Define KPIs once and reuse the same numbers across every report.

Cross-channel data

Bring ad, web, and CRM data into one consistent reporting view.

AI-assisted analysis

Turn unified data into faster insights without manual digging.

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FAQ

Frequently asked
questions

Everything you need to know about this AI tool,
its features, pricing, use cases, and limitations.

Is Whatagraph a good fit for agencies that need SEO client reporting at scale?
Whatagraph is a strong fit for agencies and marketing teams that need repeatable client reporting across many accounts, locations, brands, or data sources. It centralizes cross-channel marketing data, supports shared metrics and reusable report structures, and is built around dashboards, white-label reports, branded folders, and scalable report generation.
Does Whatagraph have a free plan, or is it a paid reporting platform?
Whatagraph is a paid marketing reporting platform rather than a free reporting tool. Buyers should expect to evaluate it as a commercial platform for scaled reporting workflows, especially when they need governed marketing metrics, repeatable dashboards, client-ready reports, and connected delivery through channels such as email, Slack, BigQuery, MCP, and AI chat.
How does Whatagraph compare with other marketing reporting and dashboard tools?
Whatagraph is most differentiated when reporting consistency and scale matter more than building one-off dashboards. Compared with general dashboard or business intelligence tools, it is more focused on marketing data workflows, shared metric definitions, white-label reporting, linked templates, and using the same governed data layer across reports, dashboards, and AI-assisted workflows.
How much setup work does Whatagraph usually require?
Whatagraph is less suitable for teams looking for a broad, general-purpose BI platform outside marketing reporting. It is centered on marketing performance data, scaled reporting, dashboards, and client delivery. Very small teams with simple one-off dashboard needs may find it more structured than necessary, and some AI agent capabilities are still positioned as upcoming.
What should teams check about data privacy and compliance before using Whatagraph?
Teams should review how Whatagraph handles connected marketing data, user permissions, client access, data exports, and any compliance requirements relevant to their organization. Because it can centralize data from multiple marketing sources and connect that governed layer to reports, dashboards, BigQuery, MCP, and AI chat, access control and data governance should be evaluated carefully.