Whatagraph alternative for marketing agencies

Whatagraph built its reputation on visually impressive reports — charts, infographics, branded colour blocks. It's genuinely good-looking. But for agencies whose biggest problem isn't how the report looks — it's the 45 minutes spent writing the commentary — there's a fundamental gap. Here's an honest comparison.

What Whatagraph does well

Whatagraph is one of the most visually polished reporting tools on the market. Its infographic-style reports — with large numbers, coloured progress rings, and icon-driven layouts — look impressive when you first see them. For agencies whose clients respond to visual design and want something that looks different from a typical spreadsheet report, Whatagraph delivers.

The template library is extensive. The data source connections are solid — GA4, Google Ads, Meta, LinkedIn, and more. Scheduled sending works well. White-label is available. For the core job of "pull data and produce a nicely formatted report," Whatagraph handles it.

The core trade-off: beautiful but mute

Whatagraph's reports are visually impressive but narratively empty. The tool aggregates and visualises data — it doesn't interpret it. Every Whatagraph report you send requires you to write the commentary separately: the executive summary, the explanation of what happened, the context for any anomalies, the recommendations.

For agencies managing 5 clients, this is manageable. For agencies managing 20+ clients, this is the bottleneck. The data is automated; the most important part — the narrative — is not. Whatagraph's visual design doesn't change this equation.

A related problem: when clients receive a visually complex infographic report, they often feel confused rather than informed. The circular charts and icon-heavy layouts that look impressive in a demo can be harder to read than a clean, well-explained summary. Open rates on Whatagraph-style reports tend to be lower than on text-narrative reports — because clients don't know what they're supposed to take from them.

Pricing: Whatagraph vs Breut

Whatagraph pricing is based on "data sources" — each connected account (GA4 property, Google Ads account, Meta ad account) counts as one data source. The Starter plan begins at around $223/month for 50 data sources. An agency with 10 clients, each connected to GA4, Google Ads, and Meta, uses 30 data sources — fitting the Starter tier. For 20+ clients across multiple platforms, costs escalate quickly.

Breut charges per plan, not per data source: £259/month for up to 5 clients, £519/month for up to 20 clients. Critically, the Breut price includes AI-written narratives, report approval flows, outbound webhooks, and client portal AI chat — none of which are available in Whatagraph at any price point.

The AI narrative difference

The single biggest difference between Whatagraph and Breut is whether AI writes the report narrative for you.

In Whatagraph: the data is displayed. You write the story.

In Breut: Claude reads the data, your client brief, their KPI targets, and the previous month's performance — then writes a 2–3 sentence executive summary and 3–5 structured insights (positive, warning, critical) that read like a senior account manager produced them. You can edit before sending. Or approve and send as-is. The process takes minutes, not hours.

For agencies whose bottleneck is writing time — not template design — this is the more important differentiator.

Which tool is right for your agency?

Choose Whatagraph if:

Your clients respond strongly to visual design and you have account managers who enjoy building custom report layouts. If design is your competitive differentiator — if clients stay with you partly because your reports look better than competitors' — Whatagraph gives you more visual flexibility.

Choose Breut if:

Your biggest reporting bottleneck is writing time — the 30–45 minutes per client spent writing the narrative after the data is pulled. If you want AI to write that commentary for you, personalised to each client's brief and KPI targets, and you want a built-in approval flow before reports reach clients, Breut is designed for exactly this use case.

Breut also makes sense if you want ecommerce data (revenue, transactions, ROAS) in the same report as GA4 and Google Ads, or if you want clients to be able to ask AI questions about their own data via the client portal.