Budgeting for a Custom CRM and Marketing Analytics API

Marketing teams often start by using connectors like Supermetrics or the native reporting inside their CRM, such as HubSpot Analytics. These tools are good for pulling high-level metrics into a dashboard. The problem is they are one-way data pipelines. They pull data out of platforms but cannot write enriched data back in. You can see how many leads Google Ads generated, but you cannot see inside your CRM which specific keyword drove a lead that eventually became a $50,000 deal.

Here is a common scenario. A marketing manager wants to calculate the true customer acquisition cost (CAC) per campaign. They use a connector to pull HubSpot deal data and Google Ads cost data into a Google Sheet. Every Monday, they spend three hours manually matching closed-won deals back to their original ad campaigns. The process is slow, error-prone, and the data is always a week out of date. Decisions about where to allocate ad spend are based on lagging indicators and guesswork.

This problem is structural. Off-the-shelf connectors are built for data aggregation, not real-time data enrichment. Their architecture is designed to query APIs on a schedule and load data into a warehouse or spreadsheet. They lack the event-driven capability to listen for a specific event, like a new contact in your CRM, and trigger a custom workflow that fetches data from another system and updates the original record. You are stuck with siloed data and cannot answer the most critical marketing question: what is actually working?

The project would begin with a discovery phase to map your entire marketing and sales data flow. Syntora audits your CRM properties, Google Analytics events, and ad platform configurations to identify the exact data points needed for attribution. This audit produces a clear data mapping document that serves as the blueprint for the API, ensuring the final system answers your specific business questions.

The technical approach uses an event-driven, serverless architecture. A HubSpot webhook, for example, would trigger an AWS Lambda function the moment a new contact is created. This function, written in Python, uses the contact's tracking tokens to query the Google Ads API for the relevant campaign and keyword data. The entire enrichment process, from form submission to the updated CRM record, completes in under 5 seconds. We use Supabase for persistent storage of attribution data, creating a historical record for advanced analysis that does not depend on the CRM alone.

The delivered system is a set of managed infrastructure in your own AWS account. Your marketing team sees new, custom properties inside your existing CRM, like 'Original Ad Campaign' or 'First-Touch Keyword'. There are no new dashboards to learn. The data is simply there, ready to be used in your standard reports. You receive the full source code, a runbook for maintenance, and an architecture that can be extended to include other platforms like LinkedIn Ads or Facebook Ads in the future.