Integrated CRM & Analytics for Real-Time Campaign ROI

Agencies often rely on the native reporting inside Google Ads or LinkedIn Ads. These dashboards show platform-level metrics like clicks and cost-per-conversion but cannot see what happens after a lead enters the CRM. A campaign might generate 50 "conversions" in Google Ads, but if the sales team qualifies only five of them in HubSpot, the agency is optimizing for the wrong outcome.

To bridge this gap, account managers export CSVs from multiple platforms and merge them in Google Sheets. Tools like Supermetrics and Funnel.io can automate the data pulling, but they only create static reports. They cannot create a feedback loop where a change in CRM deal stage—the true signal of lead quality—triggers an immediate adjustment back in the ad platform. This data reconciliation is a manual, weekly task that takes 2-3 hours per client.

Consider an account manager running a campaign for a B2B software client. They see high conversion volume from an ad group targeting a broad keyword. Two days later, they manually check the CRM and discover every lead from that ad group has been disqualified. By the time they pause the ad group, hundreds or thousands of dollars in ad spend have been wasted on low-quality traffic. The agency is reacting to history, not acting on live intelligence.

The structural problem is that ad platforms and CRMs are separate systems with different data models that do not communicate natively. Off-the-shelf reporting tools provide a one-way data flow for analysis, but they lack the ability to write actions back to the source platforms based on cross-system logic. Solving this requires a custom application that acts as an intelligent intermediary, listening for events in one system and triggering actions in another.

Syntora’s first step is a data audit. We map the complete data flow for one of your representative clients, from first ad impression to closed deal in your CRM. We assess the APIs for your tech stack (e.g., HubSpot, Salesforce, Google Ads, LinkedIn Ads) and produce a data flow diagram. This discovery phase results in a clear technical plan and a precise definition of your client's ROI calculation.

We would then build a central data store using Supabase to ingest and normalize data from all sources. This is done with scheduled Python scripts running on AWS Lambda, ensuring data is refreshed as frequently as every 5 minutes. A FastAPI service acts as the system's brain, exposing endpoints that connect events to actions. For example, a webhook from your CRM indicating a lead was disqualified can trigger a Lambda function that adds that lead's source keyword to a negative keyword list in Google Ads in under 500ms.

We have built these types of systems for agencies to manage Google Ads campaigns, handling over 100 automated bid and budget adjustments daily. The final deliverable is a custom dashboard built on Vercel showing true, cross-platform ROI for each client. You receive the full source code, a runbook explaining system operations, and a cloud architecture that typically costs under $50 per month to operate.