Open any reputation management dashboard and you'll see the same metrics: invites sent, reviews gained, response rate, average star rating. These are activity metrics. They tell you the system is running. They do not tell you whether it is making money, protecting revenue, or identifying the customer who is about to defect to your competitor.

Dealer principals do not care how many messages were sent. They care about three things: how much money the platform is making them, how much money is at risk, and what they need to do next. Until your reporting answers those three questions, you are presenting data, not intelligence.

The Problem With Activity Dashboards

Activity metrics create a dangerous illusion of value. A dashboard showing "342 invites sent, 87 reviews gained, 4.5★ average" looks productive. But it tells the dealer principal nothing about whether any of those reviews influenced a sale, whether any negative reviews indicated a customer about to leave, or whether there's a warranty process failure emerging across three locations that's going to cost the group six figures in lost service revenue.

The fundamental issue is that activity dashboards were designed for marketing managers who need to justify a software subscription. They were not designed for dealer principals who need to run a business.

What Revenue-Language Reporting Looks Like

A revenue-attributed report opens differently. Instead of "87 reviews gained this month," it opens with:

"€47,350 in revenue influenced by review activity this month. 3 customers flagged for lost-lead recovery worth an estimated €85,000–€120,000. 1 emerging warranty issue detected across 3 locations — recommended action: audit parts-ordering SLA with your distributor."

That is a report a CFO reads in the lift. That is a report that pays for itself. That is the report that makes a platform unchurnable.

The Seven Layers

DOXA's new AI Intelligence Reports are built on a seven-layer architecture, each layer answering a more specific commercial question:

  1. Executive Hook: Leads to recover, customers at risk, one recommended action — with money values attached.
  2. KPI Dashboard: Five headline numbers with trend indicators. Scannable in 10 seconds.
  3. Priority Alerts: Colour-coded cards — Critical (revenue at risk), Opportunity (recoverable lead), Warning, Insight. Maximum four per report.
  4. Dealer Performance Table: Per-location metrics with visual status indicators. The group MD sees which locations need attention without reading a single paragraph.
  5. AI Review Intelligence: Cross-network pattern analysis. The AI reads every review and identifies recurring themes, quantifies revenue impact, and suggests operational fixes.
  6. GBP Intelligence: Google Business Profile data with keyword intent classification and conversion funnel analysis.
  7. Lead Recovery & Actions: Specific customers flagged for follow-up with estimated value, recovery probability, and suggested scripts.

The Design Principles

Every number in the report follows five rules: lead with money, use traffic-light logic (green/amber/red), bake in accountability (every metric tied to a person or location), benchmark everything (no number shown in isolation), and make it mobile-first (dealer principals check phones, not desktops).

The ROI Argument

If the report identifies one recoverable lead per quarter worth €5,000 or more, the customer sees 4–10× return on their entire DOXA subscription. The report doesn't just justify the platform cost — it becomes the most valuable document the dealer principal receives each week.

No competitor in the Irish or UK automotive reputation space currently delivers this combination. Birdeye and Reputation.com offer some of these capabilities at enterprise scale and enterprise pricing. DOXA delivers a more focused, automotive-specific version at a fraction of the cost.

See a sample report: sales@doxa.co · +353 1 908 1570