We hit our 300-user limit on Salesforce and the cost was becoming unsustainable. After a 9-month process, we switched to HubSpot six months ago. The sales team pushed for HubSpot, but I was skeptical about losing depth for simplicity.
The migration itself was surprisingly smooth with their tools, but we lost a lot of custom object relationships. Our support team still misses some Salesforce case workflows. The biggest win is the unified contact view; the biggest headache is reporting. Advanced Salesforce dashboards didn't translate well. I wish we'd spent more time mocking up reports in the demo phase.
I'm the platform lead at a 120-person B2B shop. We run our own CRM on BigQuery with a lightweight frontend, but I've been the tech point person for both Salesforce and HubSpot evaluations at previous companies in the 200-500 user range.
**True Mid-Market vs. SMB-Plus:** Salesforce is built for the enterprise. It holds up for 300 users, but you're paying for that headroom. HubSpot's sweet spot is the 20-150 user company that's scaling fast. At 300 users, you're stretching its seams, especially around data relationships and reporting depth.
**Real Pricing After 12 Months:** Salesforce is clear but painful. HubSpot starts deceptively simple, then the "pro" features and additional "marketing," "sales," or "service" seats balloon the bill. At my last place, our Salesforce spend was ~$120/user/year on a deep custom contract. Our HubSpot pilot for a 150-user team was quoted at ~$85/user/month when we added the modules we actually needed. The annual invoice shock is real.
**Migration & Customization Cliff:** HubSpot's migration tools are good for standard objects (contacts, companies, deals). The cliff hits with custom objects and complex relationships. Rebuilding those often requires a freelance HubSpot dev or a pricey partner. One migration I saw took a 3-person team 4 months just to rebuild a custom quoting workflow that took a week in Salesforce.
**Where HubSpot Clearly Wins:** The unified contact timeline and UI cohesion. Sales adoption was 2-3x faster in HubSpot because it doesn't feel like work. The out-of-the-box email sequencing and meeting scheduler just work, which matters more to a rep than a 20-field view. For a team that lives in Gmail, it's a no-brainer.
For a 300-user org that's already feeling the pinch, I'd actually recommend staying with Salesforce and negotiating harder or pruning seats. But if the sales team's adoption is critical and your object model is simple, HubSpot can work. Tell us: what percentage of your custom objects had multi-level relationships, and how many power users are on your support team running those case workflows?
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I appreciate the detailed post-mortem on the migration process. Your point about losing custom object relationships is a classic pitfall; it's often where the real complexity and business logic live, and it rarely survives a lift-and-shift migration intact.
Regarding the reporting headaches and missed dashboards, I've seen this pattern before. The unified contact view is a compelling surface-level benefit, but the reporting engine is often the foundation for strategic decisions. Mocking up reports in the demo is a good lesson for others, but I'd also recommend teams take it a step further and actually export a sample of their Salesforce report data, then try to recreate the logic and visualization in the new system's schema during the proof-of-concept. It's tedious, but it surfaces these gaps before you commit.
Every dollar counts.
>export a sample of their Salesforce report data, then try to recreate the logic... during the proof-of-concept.
This is the best advice. It's the only way to really pressure-test the new system. In a migration I oversaw, we built a small Python script to pull Salesforce report metadata and sample data, then attempted to map it to the new CRM's API schema. We surfaced three deal-breaking reporting gaps *before* signing the contract.
Your point about logic living in relationships is spot on. We had to rebuild some of that logic outside the CRM using scheduled jobs that sync denormalized data back into HubSpot properties. It's a hack, but it works for now. Makes you realize how much "platform" you were paying for with Salesforce.
Prompt engineering is the new debugging
Your situation is textbook. The unified contact view is HubSpot's primary design goal, so that win was predictable. The reporting loss wasn't.
>Advanced Salesforce dashboards didn't translate well.
That's because HubSpot's reporting is essentially a denormalized query layer over flat tables. Complex object relationships break it. The only fix is to pre-calc those metrics elsewhere, like the scheduled jobs user186 mentioned, and push them as custom properties. You've moved from a relational model to a property bag.
Your Python script for pulling metadata and sample data is the pragmatic approach I recommend to teams in this position. The key is that you're testing the system's query capabilities, not just its UI. I've found the most common breaking point isn't the data import, but the WHERE clauses and JOIN-like logic in existing reports.
You're right about rebuilding logic externally. That scheduled job pattern is a necessary adaptation when moving from a relational to a property-based system. The architectural shift means you're now managing a denormalized reporting layer; those jobs become a manual ETL to materialize the joins HubSpot can't perform natively. It's not a hack, it's the new architecture.
Data is the new oil – but only if refined
The characterization of the scheduled jobs as "the new architecture" is a critical financial insight. You've moved from a platform cost to a labor and compute cost. Have you quantified the ongoing operational burden of those manual ETL pipelines?
When we made a similar move, the initial script to sync denormalized data was trivial. But as business logic changed, the maintenance overhead scaled, requiring a dedicated FTE slice to manage what Salesforce handled declaratively. That's not just an architectural shift, it's a cost center migration from a predictable subscription line to a variable engineering expense. The TCO picture changes completely when you factor in the fully-loaded cost of the engineers maintaining those materialized views.
CostCutter