Recover existing demand
Create new conversations from data your business already paid to acquire.
Recover existing demand. Re-engage aged leads, closed-lost opportunities, no-shows, and former customers with coordinated AI conversations built around your data.
We will explain the workflow, tradeoffs, and next step in plain language before you commit to a build.
Create new conversations from data your business already paid to acquire.
Let your team work the opportunities that respond instead of manually chasing entire lists.
Track the source segment, conversation outcome, appointment, and handoff in your CRM.
new appointments reported by the client at the time of recording
The client reported more than 380 new appointments while the campaign was still reaching full launch. Human callers could focus on requested callbacks and specific questions because the AI agent handled the majority of bookings.
Review the complete source recordRecover existing demand. Create new conversations from data your business already paid to acquire.
Reactivation AI identifies the segments worth revisiting and runs controlled outreach across voice, SMS, and email. Each conversation uses the context already inside your CRM, updates the record, and moves qualified opportunities back into your team’s active pipeline.
A strong implementation begins with a workflow that has enough value, volume, ownership, and observable behavior to justify the build.
+The CRM contains aged or inactive opportunities
+Consent and exclusions can be defined
+The team can handle returned intent
−Records are unverified or unowned
−There is no useful prior context
−The offer cannot support renewed demand
Eligibility, messaging, reply handling, booking, and reporting are designed as one controlled campaign.
Build audiences from age, lifecycle stage, source, service, value, and prior activity.
Reference relevant history without exposing sensitive or unnecessary information.
Coordinate voice, SMS, and email based on response and consent.
Separate interest, objections, wrong timing, opt-outs, and invalid records.
Create the right next step based on availability and qualification.
See outcomes by list, segment, channel, message, and disposition.
Start with exclusions and success criteria, then return every response to the correct owner.
Select the records, exclusions, and success criteria.
Build messaging, channel rules, guardrails, and QA scenarios.
Agents engage, answer, classify, and follow up according to response.
Appointments and qualified opportunities flow back to the correct owner.
Prior context shapes the outreach, while new outcomes improve the source record.
Eligibility, consent, contact rules, quality review, and campaign boundaries stay explicit.
The system coordinates conversations across channels, reacts to replies, uses CRM context, classifies outcomes, and can complete the next step instead of simply sending a fixed sequence.
We work with you to define eligibility, exclusions, consent requirements, timing, value, and operational capacity before a campaign launches.
Yes. Contact outcomes, notes, dispositions, follow-up requirements, and booked appointments can be written back to the source record.
Campaigns go through message review, scenario testing, exclusion checks, launch limits, monitoring, and a defined human escalation path.
Bring your current process, tools, and goals. We’ll map a practical implementation path together.