Build the CRM & Marketing Integration Your Team Actually Needs
Choose a company where you speak directly with the engineer who will write the code. Verify they deliver full source code and do not charge per-seat fees.
The complexity of a custom integration depends on the quality of the APIs and the data transformation logic required. Connecting HubSpot to an internal Postgres database with clean data is a straightforward build. Syncing Salesforce with a legacy ERP system that lacks modern API standards requires more planning and development time.
We built an integration for a 20-person B2B SaaS company connecting their Pipedrive CRM to an internal product usage database. The system now syncs new user signups to the correct sales rep in under 2 seconds, a process that previously took 15 minutes of manual lookups. The entire build was completed in 3 weeks.
What Problem Does This Solve?
Most teams start with visual automation tools to connect a CRM to a marketing platform. The problem is task-based pricing. A simple lead notification workflow that checks for duplicates in the CRM and then enriches the contact burns 2 tasks per lead. For a team getting 150 leads per day, that is 300 tasks daily and a monthly bill that grows with your marketing success.
A common failure scenario involves syncing webinar registrants from a platform like Livestorm to HubSpot. The workflow must check if the contact exists, update it if they do, or create a new one. In a visual builder, this conditional logic requires multiple branching paths. If the HubSpot API times out on a single run, the entire process often halts, leaving dozens of records unsynced with no automatic retry or alert.
These platforms fundamentally struggle with batch processing, robust error handling, and auditable logging. When an integration processing 500 contacts fails at number 347, there is no built-in way to resume from the point of failure. You must manually reconcile the data or re-run the entire batch, which risks creating duplicate records and frustrating your sales team.
How Does It Work?
We begin by mapping your process and the API endpoints for each system. We write the integration code in Python, using the httpx library for asynchronous API calls to your CRM and marketing tools. This allows us to make multiple requests in parallel, drastically reducing processing time compared to sequential execution. All API credentials and configuration are stored securely, managed outside the codebase.
The core logic is built as a FastAPI service. A 5-step workflow that required 12 visual blocks in a no-code tool becomes a 50-line Python function that is version-controlled in your Git repository. For a client connecting their Salesforce instance to a proprietary ERP, we wrote a data transformation layer that normalized product SKUs, handling a 10% mismatch rate that previously required hours of manual correction each week. We use structlog for structured, queryable logs for every transaction.
The service is deployed as a container to AWS Lambda. This serverless architecture means you only pay for compute time when the workflow runs, which is typically milliseconds per execution. The total monthly hosting cost for a workflow processing 10,000 leads is often under $20. We connect this endpoint to your CRM's webhook system, triggering the workflow in real-time. A lead submitted on your website is in your CRM and routed in under 800ms.
For workflows that must maintain state, such as checking for duplicate contacts over a 24-hour window, we use Supabase. A Postgres table stores a hash of recent contacts, and a lookup against this table runs in under 50ms. This prevents duplicate records and wasted sales effort, a task that is difficult and expensive to achieve in stateless visual builders.
What Are the Key Benefits?
Production-Ready in 2-4 Weeks
From our first discovery call to a live, production-grade workflow in under a month. Your team sees results immediately, not after a long implementation.
No Per-Seat Fees or Task Limits
We charge a one-time build cost and an optional flat monthly fee for maintenance. Your costs do not increase when you hire more reps or your lead volume grows.
You Get the Full Source Code
We deliver the complete Python codebase to your company's GitHub account. You have full ownership and control, with no vendor lock-in.
Real-Time Failure Alerts
We use AWS CloudWatch to monitor every execution. If a third-party API fails, you get a Slack alert in under 60 seconds with the exact error details.
Connects to Any REST API
We build integrations for any platform with a modern API, including HubSpot, Salesforce, Pipedrive, and your own internal databases or proprietary systems.
What Does the Process Look Like?
Week 1: Scoping & API Access
You provide API keys for your CRM and marketing tools. We map the data flow and deliver a technical plan outlining the exact logic for your approval.
Weeks 2-3: Core Development
We write the Python code for the integration, test it against sandbox environments, and deliver the full source code to your private GitHub repository.
Week 4: Deployment & Testing
We deploy the system on AWS and connect it to your production CRM. You receive a staging URL to test the end-to-end workflow with live data.
Post-Launch: Monitoring & Handoff
After one week of close monitoring, we hand over the system with a detailed runbook. A flat monthly maintenance plan for ongoing support is optional.
Frequently Asked Questions
- How much does a custom integration cost?
- Pricing is a fixed, one-time fee based on project scope. The cost depends on the number of systems, API quality, and data transformation complexity. A simple two-system sync is typically a 2-week build, while connecting to a legacy system could take 4+ weeks. We provide a fixed-price quote after our discovery call.
- What happens if our CRM's API is down when the workflow runs?
- We build in automatic retry logic with exponential backoff using the tenacity library in Python. The system will retry the API call up to 3 times over 90 seconds. If it still fails, the event is logged to a dead-letter queue and a Slack alert is sent with the payload, so no data is ever lost.
- How is this different from hiring a freelance developer on Upwork?
- Syntora delivers a production-ready system, not just a script. This includes deployment on AWS, structured logging, monitoring, and alerting. The person on the discovery call is the same engineer who writes the code and supports it post-launch, ensuring continuity and deep knowledge of your specific build.
- Can you work with our internal, non-public APIs?
- Yes. We can deploy the integration service within your own AWS or GCP environment. This keeps all data traffic inside your private network, which is ideal for systems handling sensitive PII or proprietary company data. We just need infrastructure access and API documentation from your team.
- What kind of maintenance is required after the build?
- The system is designed to run without intervention. Maintenance is typically needed only when one of your connected tools, like Salesforce, releases a breaking API change. Our optional maintenance plan covers monitoring for these changes and updating the integration code to ensure it continues to function correctly.
- We don't have an engineering team. Can we still manage this?
- Absolutely. The system is self-contained and the runbook we provide explains how to view logs and understand alerts. For any code-level changes, the founder of Syntora (who built your system) is available through the flat-rate monthly maintenance plan, acting as your on-demand engineer for the integration.
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