Targeting Hypothesis Sprint: Productized Lead-Gen Retainer Build (10-14 days)
A fixed-scope engagement that turns a client's vague 'we need more leads' brief into a documented targeting hypothesis, a scored qualification model, and a running outbound list pipeline the agency operates on retainer. The tool layer stays interchangeable; the agency owns the framework. Time: 10-14 days.
By InnovaAI ResearchPublished
How do you implement it?
Targeting Hypothesis Sprint: Productized Lead-Gen Retainer Build (10-14 days)
A fixed-scope engagement that turns a client's vague 'we need more leads' brief into a documented targeting hypothesis, a scored qualification model, and a running outbound list pipeline the agency operates on retainer. The tool layer stays interchangeable; the agency owns the framework.
- Signed scope naming the buyer profile, the trigger event, and the disqualifiers in writing
- Read access to the client's CRM, closed-won history, and at least 12 months of pipeline data
- One named client-side approver who can settle ICP disputes inside 48 hours
- Domain, sending infrastructure, and mailbox capacity sized for the planned daily volume
- Agreed definition of a qualified lead, expressed as observable criteria rather than a feeling
- 1.Pull closed-won and closed-lost records and tag them by source
- 2.Interview two sales reps about why deals stalled
- 3.Document the current handoff from list to first touch
- 1.Cluster won accounts by firmographic and technographic traits
- 2.Isolate the trigger events that preceded first contact
- 3.Draft three competing targeting hypotheses for review
- 1.Score each hypothesis against historical win rate and reachable volume
- 2.Kill any hypothesis that cannot produce 300 named accounts
- 3.Confirm the surviving hypothesis with the client approver
- 1.Configure the chosen platform's filters to match the hypothesis
- 2.Set exclusion rules for current customers, open opportunities, and competitors
- 3.Export a 50-account pilot list for manual review
- 1.Verify contact records against a second data source
- 2.Flag role mismatches and stale titles for correction
- 3.Rebuild the pilot list with enrichment gaps closed
- 1.Write the qualification scoring rubric with weighted criteria
- 2.Map each score band to a routing action: book, nurture, or discard
- 3.Test the rubric against 20 known-good and 20 known-bad leads
- 1.Build the enrichment and scoring sequence in the automation stack
- 2.Connect the sequence to the client CRM with field-level mapping
- 3.Run a 10-record dry run and inspect every written field
- 1.Draft the first-touch message variants for the pilot segment
- 2.Set the reply-handling rules and the escalation path for edge cases
- 3.Load the pilot into the sending infrastructure
- 1.Launch the pilot to the 50-account list
- 2.Monitor deliverability, bounce rate, and reply sentiment hourly
- 3.Log every objection raised in the first 24 hours
- 1.Review pilot results against the scoring rubric
- 2.Adjust filters where the wrong roles are surfacing
- 3.Rewrite the weakest message variant
- 1.Scale the list build to the agreed monthly volume
- 2.Document the refresh cadence and the data decay assumptions
- 3.Hand the operating runbook to the delivery team
- 1.Present the targeting framework, rubric, and pilot results to the client
- 2.Agree the monthly reporting format and the review meeting cadence
- 3.Confirm the retainer start date and the volume commitment
The platform subscription is a line item any competitor can match, so the fee sits on the targeting framework, the scoring rubric, and the operating cadence the agency built and now runs. A retainer priced this way survives a client switching vendors, because the framework transfers and the tool does not. Margin holds when the list build is templated once and reused across accounts in the same vertical.
- Written targeting hypothesis with named trigger events and disqualifiers
- Weighted qualification scoring rubric mapped to routing actions
- Configured enrichment and scoring sequence in the automation stack
- Pilot performance readout covering 50 accounts and first-touch replies
- Monthly operating runbook with refresh cadence and reporting format
The client signs off on the targeting framework and scoring rubric, and the automated pipeline delivers a scored, deduplicated list of qualified accounts on the agreed monthly cadence without manual rebuilding.