Moving Emteria's sales pipeline from Pipedrive to HubSpot in batches — validating data quality before it ever became a demo-day problem.
As Emteria grew, Pipedrive stopped meeting the company's needs — particularly around collaboration with Marketing. The business chose to migrate to HubSpot for a unified Sales-and-Marketing platform. I led the data side of that migration: assessing and cleansing over 1,000 historical leads and ~250 active opportunities, building a detailed field-mapping document, and executing the move in validated batches rather than a single cutover — preserving the sales pipeline while minimizing disruption to reps working deals in real time.
Emteria, a B2B hardware/software startup, had reached a point where Pipedrive no longer supported what the business needed — especially closer collaboration between Sales and Marketing. HubSpot was chosen for its stronger integration capabilities and unified platform. The risk wasn't the decision to migrate; it was doing so without losing or corrupting the customer and deal data the sales team depended on every day.
The migration followed a deliberate sequence: assess the existing Pipedrive dataset, cleanse it (removing duplicates, standardizing values, validating mandatory fields), build a detailed field-mapping document between Pipedrive and HubSpot, migrate in phased batches via CSV export and HubSpot's import tool, validate data integrity after each batch, and run User Acceptance Testing with the Sales team before full rollout.
| Data | Volume |
|---|---|
| Historical cold leads | 1,000+ |
| Active opportunities | ~250 |
| Total CRM records migrated | 1,250+ |
| Record types | Companies, contacts, deals, pipeline stages |
Before migration, the dataset was assessed for structure, quality, and completeness — this is where duplicate records and inconsistent field values were identified, ahead of any actual data movement.
Data cleansing removed duplicate records, corrected inconsistent values, standardized field formats, and validated mandatory information — reducing the risk of carrying poor data quality into the new system. In parallel, a field-mapping document tied every Pipedrive field (contacts, companies, deals, pipeline stages, ownership, custom fields) to its HubSpot equivalent, validated with business stakeholders before migration began.
Years of CRM use had accumulated duplicate and inconsistent records — the kind of data debt that's invisible day-to-day but becomes a real problem the moment you need every record to be clean at once.
A single-shot migration would have made small mapping errors expensive. With 1,250+ records and custom fields on both sides, an undetected mapping issue could have silently corrupted a meaningful slice of the pipeline.
The underlying data had evolved organically over time with no single canonical structure enforced — normal for a growing startup's CRM, but risky to migrate in one pass. No single mapping and validation cycle could realistically catch every edge case in data that heterogeneous, which is why a phased batch approach — validate, learn, adjust, repeat — was structurally the safer choice over a single full migration.
The migration moved 1,250+ CRM records with data integrity maintained throughout, minimal disruption to ongoing sales activity, and a new shared platform that improved Sales-Marketing collaboration going forward. The batch-and-validate approach meant issues were caught and fixed incrementally rather than surfacing as a single high-stakes failure after a full cutover.
Once live on HubSpot, the team launched KPI dashboards tracking lead lifecycle metrics and OKRs — reporting that wasn't practical on the previous platform, and one of the direct payoffs of the migration itself.