Revenue and customers
Automated Outbound
Governed outbound, measured by incremental response against a permanent send-or-hold holdout, never by open rates.
The problem
Outbound programs send more to reach more, and lists, deliverability, and goodwill wear down. Open and click rates reward contacting people who would have engaged anyway, and a suppressed contact reached through a duplicate record is both an error and a legal exposure.
Who owns it
Marketing or growth operations, who own audiences, templates, and caps. Sales receives the replies where outbound feeds the pipeline.
What it learns from
- Email and marketing engagement
- CRM contact and account state
- Consent and suppression state
- Deliverability signals
How it works
Predict, decide, act, measure
The same four steps in every solution, in this order, each one visible to the team that owns it.
- 01
Predicts who a contact will move
Models predict response and conversion, and whether contacting a person changes the outcome at all. Identities and suppressions are resolved across records and channels before anyone is eligible.
- 02
Decides send or hold through a policy
Contact-frequency caps across every journey, quiet hours, consent and region eligibility, volume ramps, and a kill-switch per journey all live in the policy. New audiences and message templates need human approval, and drafted copy is only a candidate until someone approves it.
- 03
Acts in your marketing automation
Segments, journeys, and suppressions are written to the email and marketing automation platform, and replies route to sales through the CRM.
- 04
Measures against a send-or-hold holdout
A permanent randomized holdout in each audience cell receives no send. Incremental response and pipeline are the result. Spam complaints above a hard threshold pause sending automatically.
What it moves
The business levers
Incremental pipeline
Replies, meetings, and pipeline that would not have happened without the send.
Send volume
Sending less to the people a message will not move, and keeping the list for those it will.
List and domain health
Deliverability is watched like model drift, so the channel stays open.
Contact governance
Caps and suppressions hold across every journey, not campaign by campaign.
Proof
How the return is proven
The return is the incremental pipeline in the sent cells over the holdout, stated against the return model agreed up front, beside a governance panel that reports cap breaches and sends to suppressed identities.
What you see: the ROI readout
Every solution produces the same readout, assembled from the system's own records rather than built by hand.
Correctness
The checks the pipeline passed on your own data: leakage, point-in-time, and entity resolution.
Incrementality
The incremental effect against the holdout or equivalent design, with its confidence interval.
Return
The measured return against the investment, set beside the return model agreed before work started.
Guardrails
Complaints, cost, margin, fairness, and contact limits, each shown against its bounds.
Audit extract
Every score, action, and outcome, with the model and policy versions behind it.
Governance
What is governed
Access, approvals, and the audit trail are part of the solution, not a review step added at the end.
Identity-scoped access
Audiences and contact lists are visible by role through your single sign-on.
Approval gates
New audiences and message templates need approval, and generated drafts can never approve themselves.
Audit trail
Each send decision is logged from score to eligibility to send or hold to outcome.
CAN-SPAM, CASL, and GDPR
Consent and anti-spam law set the frame of the policy, resolved for each contact by jurisdiction.
Why it holds up
Trained on your data, framed by the outcome
This solution trains models on your own data, checks every stage from data to decision, and is measured against the outcome it was built for. Because its predictive power is measured, it also shows the drivers behind the metric, so your team can fix causes as well as act on scores.
Why solutions hold upStart with one decision
Bring the problem and the systems your team works in. We scope the first solution with you, agree how its return will be measured, and run it in production with your people.