Automated B2B Lead Generation
- ICP refresh
- ContinuousICP refresh
The challenge
B2B business development has long suffered from a structural paradox: companies understand their own value proposition intuitively, yet lack the technical capability to translate that intuition into crisp, algorithmic Ideal Customer Profiles.
Our client, a scaling enterprise B2B service provider, was trapped in this manual loop. Their sales team spent extraordinary cycles articulating target personas into spreadsheets, only to watch those definitions erode the moment market conditions shifted.
The gap between knowing their ideal customer and operationalising that knowledge was costing measurable revenue quarter after quarter.
What we built
- 01
Profile extraction
The signals that actually characterise the client's best accounts are derived from their existing customer and pipeline data, rather than from a workshop-written persona document.
- 02
Autonomous sourcing
Agents continuously gather and enrich candidate company data from across available sources, scoring each against the derived profile instead of a static list of firmographic filters.
- 03
Continuous refresh
The profile is recomputed as new deals close and market conditions move, so the definition of a good-fit account keeps pace rather than decaying between planning cycles.
What came out of it
- An intuitive ideal customer definition turned into an operational, algorithmic profile.
- Sales cycles previously spent maintaining spreadsheets returned to selling.
- A profile that refreshes with the market instead of eroding between quarters.
More case studies
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