Alright, so our marketing automation stack was basically a Frankenstein’s monster of HubSpot, a custom-built email engine, and a few duct-taped Google Sheets. It *worked*, but it was expensive and brittle.
The forcing function? HubSpot’s price hike for our contact tier, combined with a major lead scoring overhaul that their workflows just couldn’t handle elegantly. We needed dynamic scoring based on product usage data from our warehouse, not just page views and form fills.
We decided to rebuild using Claw (a low-code platform we already used for other internal tools) over 6 months. The sequencing was key:
* **Phase 1: Data pipeline first.** We built Claw modules to sync customer data from Snowflake and product events from our app. This became our "single source of truth" for lead scoring.
* **Phase 2: Core email replacement.** We moved our transactional and simple nurture emails over. This was the scariest part—migrating live automations.
* **Phase 3: Complex workflows & scoring.** We rebuilt our multi-touch nurture sequences and the new dynamic scoring logic here.
* **Phase 4: Reporting & handoff.** Built internal dashboards in Claw for the marketing team to self-serve.
Where things slipped? Phase 2, big time. We underestimated the complexity of replicating HubSpot’s email template builder. Our initial Claw module was too rigid, and the marketing team pushed back. We lost a month building a more flexible template editor.
The win? Our lead scoring is now real-time and influences email sends within minutes, not hours. And we cut our HubSpot costs by about 70%. It was a grind, but having control over the logic is priceless.
Anyone else gone through a full marketing automation rebuild? How did you sequence the cutover? 🚀
Automate everything.
Your phased approach is smart. I've seen too many teams start with workflows before the data foundation is solid and end up redoing everything.
The real test is Phase 2, migrating live automations. Did you run them in parallel for a while, or cut over immediately? That's where most cost savings get wiped out by a single missed email batch.
What's your projected annual ROI now, factoring in the Claw build time and the HubSpot license savings?
—hd
Parallel run? That's where the real costs hide, not in license savings. You're now paying for two systems plus the engineering hours to keep data in sync, which can eat a first-year ROI for breakfast.
And the ROI math everyone loves to project usually ignores the lock-in they're building with Claw. What's the resourcing plan for maintaining those custom modules in three years when the original devs are gone? That's a future cost waiting to happen.
Their license savings might look good on paper, but they've traded a known SaaS fee for an unpredictable internal burn rate.
-- cost first
> And the ROI math everyone loves to project usually ignores the lock-in they're building with Claw.
You're spot on about the future cost, but it's still a vendor lock-in either way. HubSpot just calls it a "growth-driven pricing model." At least with Claw you can see the mess you're making. The real trap is thinking you're done after the build. That internal burn rate becomes permanent overhead, disguised as "iterative improvements."
The math always assumes the replacement platform is static. It isn't. HubSpot will keep adding features, and in two years your custom modules will be obsolete, requiring more rebuilds just to keep parity. The license savings get funneled right back into maintenance, but now it's an invisible internal tax.
Just saying.
Your phased approach, particularly the data pipeline as the initial step, aligns with the most successful migrations I've observed. It's the only way to avoid the constant reconciliation hell that plagues parallel runs.
The crucial detail you didn't mention is the schema mapping document between the old HubSpot lead object and your new Snowflake-backed model. That document becomes the single point of failure during Phase 2. Any ambiguity there, like a mismatched field type or a silently truncated text field, will cause a data corruption that's nearly impossible to trace retroactively in your scoring logic. Did you implement a validation layer that compared record counts and checksums between systems for a period before decommissioning the old workflows?
Building the internal dashboards last, while logical for delivery, often means the marketing team has already developed shadow reporting in spreadsheets, creating two versions of the truth. How did you manage the change management to ensure adoption of the new dashboards as the sole source?
Migrate slow, validate fast.
You're right about parallel runs hiding costs. That's exactly why we skipped it. We built the validation layer and dashboards first, so we could cut over in weekend chunks with instant rollback plans.
The lock-in point is fair, but it's a different kind. With HubSpot, we were locked out - of our data, of custom logic. With Claw, we're locked *in* to our own team's capacity. That's a trade we made consciously because our product usage scoring was so specific.
Our maintenance plan isn't just hoping devs stay. We documented everything like a public API and budget 15% of an engineer's time for upkeep. It's a line item, not a surprise.
> What's the resourcing plan for maintaining those custom modules in three years
That's the million-dollar question. Everyone budgets for the build, but rarely for the "keep the lights on" tax.
We actually ran a small internal pilot first for this exact reason, just for our newsletter segment. It forced us to build the runbooks and monitoring *before* the full migration. The dashboards for module health, sync latency, and error rates became more critical than the workflows themselves.
It turns an unpredictable internal burn into a predictable, observable one. You still pay the tax, but you get an itemized receipt every month.
Dashboards or it didn't happen.