Build Campaign Automation That Outperforms Off-the-Shelf Tools

A 30-person marketing firm managing high-volume email campaigns often hits the limits of tools like HubSpot or Mailchimp. These platforms provide basic segmentation on properties stored within their system, such as tags or contact fields. However, they cannot execute complex, real-time logic that depends on data from external systems.

Consider a common scenario: your e-commerce client wants to send a targeted 'back in stock' notification. The business rule is to only email users who have viewed the product at least 3 times, have a lifetime value over $500, and have not made a purchase in the last 14 days. The product view data lives in Segment, lifetime value is in Shopify, and purchase history is in their custom order management system. An off-the-shelf tool cannot query three separate APIs, join the data, and execute this logic in a single workflow. Firms are forced to create brittle, multi-step processes with webhooks that are slow and frequently fail without notice.

The structural problem is that these platforms are architected as walled gardens. Their workflow builders are designed to keep you operating on data within their ecosystem. They are not built to be the computational fabric that connects multiple best-in-class tools. This forces your team into hours of manual list pulling, CSV uploads, and running campaigns on stale data, negating the entire purpose of automation.

Syntora begins an engagement by mapping your complete data ecosystem and campaign logic. We identify every system that holds a piece of the puzzle, from your client's CRM to their backend databases. This discovery phase produces a data flow diagram and an API inventory, which becomes the blueprint for the automation engine. You see the full plan and approve the architecture before any code is written.

The core of the solution is a Python service, typically running on AWS Lambda for efficiency. This service uses `httpx` for asynchronous API calls to pull data in parallel from all required sources, such as Salesforce and Shopify. It then uses a library like Polars to apply your complex segmentation rules to a dataset of 50,000 or more contacts in seconds. The final, targeted list is then passed to a dedicated email sending service like Postmark via its API.

The delivered system runs in your own cloud account, and you receive the complete source code. The business logic is stored in a simple configuration file, allowing your team to adjust segmentation rules without needing a developer. A dashboard, often built with Supabase, provides a clear view of every campaign run, its duration, the number of contacts processed, and any API errors, giving you full operational control.