Agency Analytics alternative: why agencies are switching to AI reporting

Agency Analytics is the most widely used reporting platform for marketing agencies. It connects to dozens of data sources and produces clean, professional reports. But for agencies that want AI to write the narrative — not just display the data — it has a fundamental gap. Here's an honest comparison.

What Agency Analytics does well

Agency Analytics has been around since 2012 and has built an impressive platform. It connects to 80+ data sources, produces clean dashboards, and has a solid white-label offering that lets agencies present everything under their own brand. For agencies that want to build custom dashboards for clients — drag, drop, configure — it's a capable tool.

The report builder is flexible. You can add any widget, any metric, in any layout. If you have a specific client who needs a bespoke report structure, Agency Analytics can handle it. The scheduled sending works reliably, and the client portal is clean.

Where Agency Analytics falls short

No AI narrative

The most significant gap in Agency Analytics is that it has no AI writing capability. When you generate a report, you get data. Charts. Tables. But the narrative — the executive summary, the interpretation of what happened and why, the recommendations — that's still on you. Every account manager, every month, writing the same commentary from scratch.

This is where agencies underestimate their own costs. The data pull is automated. The narrative is not. And the narrative is what clients actually read. A beautifully formatted table of Google Ads metrics with no explanation is less useful to a client than a 3-paragraph summary that tells them whether it was a good month and what's changing next month.

No report approval flow

Agency Analytics has no built-in mechanism for holding a report for agency review before it goes to the client. If a junior account manager runs a report and hits send, it goes. For agencies managing 20+ clients across multiple account managers, an approval flow isn't a nice-to-have — it's a risk management requirement.

No client portal AI chat

Agency Analytics offers client dashboards, but clients can only view data — they can't ask questions about it. Breut's client portal includes live AI chat: the client can ask "why did conversions drop in week 3?" and get an intelligent answer using their own data. This dramatically reduces the volume of "can you explain this number?" emails agencies receive.

Feature comparison

Pricing comparison

Agency Analytics pricing starts at $12/month per client (minimum 5 clients = $60/month), scaling up based on client count. At 20 clients you're paying $240/month. White-label is an additional cost on top of the base plan.

Breut's pricing is per-plan not per-client: £259/month for up to 5 clients (Starter), £519/month for up to 20 clients (Growth), £859/month for up to 50 clients (Agency). Annual billing reduces these by ~17%. The key difference: Breut's price includes AI writing, approval flows, webhooks, and AI chat — none of which are available in Agency Analytics at any price point.

Which tool is right for your agency?

Choose Agency Analytics if:

You need maximum flexibility in report layout — custom widget positioning, 80+ data source connections, and the ability to build completely bespoke dashboard structures for each client. If your agency's value proposition is around custom data visualisation and you have time to write the narrative manually, Agency Analytics gives you more configurability.

Choose Breut if:

You want the narrative written for you — AI that takes the raw data and produces a coherent, personalised report summary that reads like a senior account manager wrote it. If you're managing 5–50 clients and your biggest bottleneck is the time spent writing report commentary, approving reports before they go out, and answering client questions about data — Breut is built for exactly this.

Breut is also the right choice if you want an outbound webhook (to trigger Zapier/Make automations on report sent/opened), a built-in approval flow, or a client portal where clients can ask AI questions about their own data.