Integrate Your CRM and Marketing Platforms with Custom AI

Marketing teams often rely on pre-built marketplace integrations or data connectors to sync their CRM with ad platforms. These tools work for simple, one-to-one field mapping but break down under real-world conditions. The core issue is data lag. Most connectors sync on a 5 or 15-minute schedule, meaning a high-intent lead from a Google Ad is invisible to your sales team for too long. By the time they call, the lead has moved on.

Consider a 15-person agency running Google Ads for a client using Pipedrive. They need to pass the specific ad group and keyword that generated a lead into a custom CRM field so the sales team has context for their first call. The standard connector only sends name, email, and phone. The workaround becomes a marketer spending an hour every morning exporting a CSV from Google Ads and manually importing it into Pipedrive, delaying follow-up by 12 hours and risking data entry mistakes.

The structural problem is that these connectors are data movers, not data processors. They are not architected to fetch data from multiple sources, perform calculations like a custom lead score based on UTM parameters, and then write a transformed result to the CRM. Attempting to force complex logic into these tools results in brittle, multi-step workflows that quickly hit API rate limits and task quotas, causing surprise overage bills and stalled data pipelines.

The engagement starts by mapping your exact data flow. We audit your CRM fields, review the data available from your marketing platform APIs like Google Ads or LinkedIn, and define the specific business logic for enriching a lead. This audit produces a clear technical blueprint that you approve before any code is written.

The core of the solution would be a lightweight service built with Python and FastAPI, hosted on AWS Lambda for efficient, event-driven execution. When a new lead is generated, the service triggers. It uses Python libraries to pull campaign details from the ad platform and `httpx` for asynchronous calls to your CRM's API. A custom script then processes this data before writing the enriched record into the correct CRM fields. We often use Supabase as a durable cache to manage API rate limits gracefully.

The delivered system runs automatically and is fully managed. You receive the complete source code in your own GitHub repository. Your marketing and sales teams see enriched lead data appear in the CRM in near real-time, not hours later. A simple Vercel-hosted dashboard provides visibility into system health, processing volume, and any API errors, along with a runbook explaining how to manage the system.