Step 01
Map the outbound terrain
Before anything sends, we chart what outbound actually runs on. Interview agents debrief your team on ICP theory while we read the CRM, sequencer exports, and billing history directly. Where lists come from, what earned replies, which domains carry reputation, all charted into a map you can correct.
Output: the outbound terrain map, committed to your repo
Step 02
Build the revenue memory
Closed-won accounts, product usage, billing, and CRM history join into one model in your warehouse. The model runs on your own record of who bought, how fast, and what they looked like the day they signed. Every score it produces traces back to a source your team can check.
Output: one memory every send is scored against
Step 03
Rank the target universe
The ICP model scores every account you could contact against the patterns in your closed-won data. Matches are enriched through direct API calls at raw cost, verified, deduped against the CRM, and cached in the warehouse. What remains is a ranked universe with reasons attached.
Output: a scored, enriched target list with reasons
Step 04
Ship outbound as code
Sequences, send windows, volume caps, mailbox rotation, and reply classification land in your repo as versioned workflows. Deliverability is handled as configuration you can read, not a setting buried in a vendor dashboard. Call queues build themselves from replies and product signal.
Output: sequences and call queues, live on your stack
Step 05
Read the reply report
Every outbound patch reports back weekly: what was sent, who replied, which meetings booked, and the pipeline it touched. Positive replies trace to the account score that predicted them, so you can watch the model earn its place, and correct it where it misses.
Output: the weekly outbound report, pipeline touched
Step 06
Feed wins back to the model
Booked meetings and closed deals flow back into the ICP model. Scoring thresholds move, suppression lists grow, and the next batch targets a little tighter than the last. The outbound system sharpens every cycle, on infrastructure that stays yours.
Output: a tighter icp model, next patch queued