HubSpot · B2B SaaS
Forecast accuracy: roughly ±40% to within ±12%
A 60-person SaaS company moving off spreadsheets
Anonymized, composite example representative of aibrevo's HubSpot engagements — not a named client. We don't publish a client's identity or specifics without their explicit sign-off.
The challenge
The sales team had moved deals into HubSpot from spreadsheets, but without agreed lifecycle-stage definitions or required fields, reps logged deals however they personally interpreted "qualified" or "committed." Leadership's forecast to the board was built on a pipeline nobody actually trusted, and marketing and sales disagreed about what a lifecycle stage even meant.
The approach
- 01
Lifecycle alignment workshop
Ran a working session with sales and marketing leadership to agree, in writing, what each lifecycle and deal stage actually means — before touching any configuration.
- 02
Pipeline and property rebuild
Rebuilt deal stages and required properties so a deal can't move to "committed" without a close date and amount already on the record.
- 03
Validation rules
Added stage-advance validation so the data entered at each step is the data a forecast actually needs, not whatever a rep remembered to fill in.
- 04
Migration and training
Migrated and de-duplicated the existing deal data against the new lifecycle definitions, then trained the team on the new required-field flow before go-live.
The result
Once every deal in a given stage actually meant the same thing, the pipeline number leadership took into board meetings moved from a rough guess to something they could stand behind — forecast accuracy improved from roughly ±40% to within ±12%.
Delivered within aibrevo's typical mid-market HubSpot timeline — see the HubSpot implementation page for the full range.
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