Adriel

Adriel's white-label dashboards and 650+ connectors let agencies replace manual reporting with a recurring service that saves 45+ hours per client weekly. At $500/month for the Starter plan, agencies can resell a managed reporting retainer for $2,170/month, turning a fixed software cost into a high-margin recurring revenue stream.

Adriel's pricing starts at $500/month for 10 dashboards and 25 ad accounts, but agencies must factor in 16 hours of setup per client plus 4 hours monthly maintenance. The Margin Threshold framework calculates the minimum retainer fee needed to achieve a target profit margin. For example, if an agency bills $150/hour and spends 16 hours onboarding plus 4 hours monthly, the cost is $2,400 in year one plus $600 monthly. To maintain a 50% margin, the monthly retainer must be at least $1,200. The Starter plan caps at 10 dashboards, so agencies serving small local clients with 1-3 platforms can price the Adriel Starter Reporting Dashboard at $2,170/month, yielding a 72% margin after costs. This framework prevents underpricing and ensures every client engagement is profitable from month one.

The Reconciliation Gap framework measures the distance between what a reporting platform claims to aggregate and what it actually reconciles into a single, trustworthy number. Agencies often adopt analytics tools to reduce manual collection work, but the real value lies in how well the platform handles data freshness, deduplication, and cross-source consistency. A dashboard that shows conflicting metrics across Google Ads and Facebook Ads, or that lags 24 hours behind live data, forces staff back into manual spreadsheets, eroding the time savings that justified the purchase. For example, a platform like Whatagraph unifies cross-channel data into a governed foundation, but if its reconciliation logic fails on a specific client's custom UTM scheme, the agency still spends hours auditing numbers before client calls. Benchmark your current reporting process first: measure hours spent per client per month on data validation, then compare that against the platform's promised savings. The gap between promise and reality determines whether the tool becomes a margin lever or a new source of friction.

The Attribution Blind Spot Audit is a framework for agencies to systematically identify where their analytics stack misattributes or misses traffic, particularly AI-driven referral sources. As AI tools like ChatGPT and Perplexity increasingly send mid-funnel referral traffic, standard attribution models often classify these sessions incorrectly, skewing conversion data and misleading optimization decisions. This framework guides agencies to segment AI referral sources as a named channel, compare their behavior against organic baselines, and reconcile discrepancies before presenting reports to clients. By proactively auditing for these blind spots, agencies protect their credibility and deliver more accurate insights. For example, a recent analysis highlighted that AI referral traffic is breaking attribution models across search and conversion, underscoring the urgency for agencies to adapt their reporting processes.

Adopt Adriel only if you have at least 10 client ad accounts and can package reporting as a managed service starting at $2,170/month.

Benchmark your current reporting process, including time spent and data reconciliation quality, before adopting any analytics or reporting platform.

If your agency manages 25+ ad accounts across Google, Meta, LinkedIn, and GA4, and you need white-labeled dashboards without exposing third-party branding, buy Adriel. Skip if you only need basic reporting for 1-3 platforms or have fewer than 5 clients, as the Starter plan at $500/month caps at 10 dashboards and 25 ad accounts.

A 5-7 day sprint to configure Adriel for a client, build white-labeled dashboards, and launch a monthly managed reporting service that saves 45+ hours per week per client.