reboundQFrom anonymous visit
to scored handoff.
reboundQ owns five stages. Each one only fires with context; no automation runs on dirty data or unscored contacts.
Capture & opt-in
Most inbound traffic leaves anonymous and unscored. Midbound identifies visitors in real time and matches them to your ICP, while opt-in capture converts interest into a permissioned contact you can legally nurture.
- Real-time anonymous visitor identification
- ICP match and first-touch scoring
- Compliant opt-in capture with consent on record
Qualify the data
Before a contact enters automation, reboundQ deduplicates, standardizes, enriches, and verifies consent. Dirty data in means wasted spend out, so qualification is the mandatory first step, not an afterthought.
- Firmographic & technographic append
- Email verification, decay repair, dedup
- Consent verification (GDPR / CCPA / CAN-SPAM)
Nurture across channels
Persona-matched sequences run across email, retargeting, and LinkedIn, paced to behavior rather than a fixed calendar. A contact that re-engages moves faster; one that goes quiet slows down. Multichannel nurture and LLM-SEO campaigns can be activated through Midbound and InteractGen.
- Behavioral cadence, not fixed drip
- Conditional branching by engagement
- A/B tested subject lines and content
Score with the proprietary model
One score combines four weighted inputs: ICP fit, engagement depth, intent signal, and recency. The score decides who is ready for sales and who keeps nurturing, so SDRs only ever see contacts worth a call.
- Weighted multi-signal model (v4)
- Threshold-based promotion to SDR
- Transparent, explainable score breakdown
Hand off to the SDR
When a contact crosses the threshold, it routes to your SDR team as a sales-ready package: profile, full engagement history, score, and the specific reason it surfaced now. Average time from capture to handoff is 4.2 days.
- Salesforce & HubSpot native sync
- Sales-ready package with score rationale
- Closed-loop attribution back to source
See the system on your traffic.
A signal audit shows exactly where your visitors fall out and how much pipeline reboundQ would recover.