AgencyAnalytics vs Databox: which dashboard tool fits your marketing reporting

Once a business runs Google Ads, GA4, a Google Business Profile, and a call tracking tool at the same time, nobody wants to log into four dashboards to answer one question: is the marketing working. AgencyAnalytics and Databox both exist to pull those separate accounts into a single dashboard or report, something an agency can hand a client or an in-house marketer can check without opening every platform separately.

The two companies charge for that pull-together job in almost opposite ways. AgencyAnalytics prices per client managed, with every feature bundled into that one number regardless of how many data sources that client needs connected. Databox prices per data source and user instead, with the client relationship itself not directly priced at all, so an agency managing several clients on Databox is really buying data source capacity and deciding how to split it across accounts.

Which model costs less depends entirely on how many data sources each of your clients actually needs connected. A client with two or three sources costs the same $20 a month on AgencyAnalytics as a client with ten, while the same spread of sources would push a Databox account into a higher tier.

AgencyAnalytics's own pricing page (agencyanalytics.com/pricing, accessed 2026-09-26) does not use named feature tiers at all. Instead it states one plan includes every feature for every client, priced at $20 a month per client on annual billing, with the page noting a 20 percent saving over paying monthly.

That single price includes what the page describes as 85 plus integrations spanning SEO, paid advertising, and social media platforms, white-label branding with a custom domain and email, automated client reporting with client portal access, goals, alerts, and anomaly detection, unlimited dashboards and reports, and built-in benchmarking and forecasting tools. The page states multiple integrations for a single client are included at no additional cost beyond that client's flat $20.

Two add-ons sit outside the per-client price: an AI Tracker priced at $20.83 a month for 250 credits, and a Rank Tracker priced at $41.67 a month for 500 tracked keywords, both figures shown on annual billing. Agencies managing 25 or more clients are directed to a custom enterprise pricing conversation that the page says includes volume discounts and dedicated support.

Databox's own pricing page (databox.com/pricing, accessed 2026-09-26) names five tiers. Free costs nothing and includes 3 data sources for a single user. Analyst is $71 a month on annual billing with 5 data sources, still single-user. Team Core is $199 a month with 10 data sources and up to 3 users. Team Scale is $319 a month with 30 data sources and up to 10 users. A separate Agency tier starts at $79 a month with 20 data sources, unlimited users, and the option to add client packs at $25 a month each, with every pack adding 1 client, 5 more data sources, and 50 AI credits a month.

Across its paid tiers, the page names 130 plus supported tools, spreadsheets, databases, and APIs as integration options, anomaly detection, a drag-and-drop dashboard builder, scheduled reports with sharing and notification options, an MCP server for connecting AI tools, and a Slack-based query feature the page calls Genie. AI credit allowances also scale by tier, from 50 a month on Free up to 1,000 a month on Team Scale.

White-label branding is not bundled into any tier's base price; the page lists it as an $80 a month add-on regardless of which tier you are on. The page does not state a specific data retention period for historical dashboard data on any tier.

AgencyAnalytics's flat per-client price is simple to budget, but it means a client who only needs one data source costs the same $20 a month as one who needs ten, so an agency with many light-touch clients may be paying more per data source than a Databox plan would charge for the same footprint.

Databox's tiered, source-based pricing rewards a smaller number of data-hungry accounts but punishes sprawl in the other direction: an agency spreading modest reporting across many clients can hit a data source ceiling and need to jump a full tier, or start stacking $25 client packs, well before it feels like it is getting more value for the higher price.

Neither page, as fetched, named a specific historical data retention window you can rely on if you cancel, and Databox's white-label add-on at $80 a month is a real cost to factor in if client-facing branding matters to you, something AgencyAnalytics states is already included in its base price.

Choose AgencyAnalytics when you manage several clients with a similar, moderate number of data sources each, want white-label branding included with no separate fee, and prefer one flat number per client that is easy to quote in a proposal.

Choose Databox when you have fewer clients but each one needs many data sources connected, you want to start on a genuinely free plan before paying anything, or Databox's per-tier user and AI credit allowances better match how your team actually works than a flat per-client charge would.

Before you commit, count your actual client list and the data sources each one needs, then run that exact mix through both companies' current pricing pages, since a handful of data-heavy clients or many light ones can flip which model is cheaper.