reboundQTurn anonymous visitors into
qualified meetings for your SDRs.
We identify who's on your site, qualify the serious ones, nurture them across email and LinkedIn, then hand your SDRs a scored, context-rich call list every morning. Not a cold spreadsheet.
No lock-in · pilot starts in 2 weeks
Five steps. One scored system. Zero cold lists.
Capture
Midbound identifies anonymous traffic and converts it to opt-in contacts.
In practice: We resolve visitors to companies and contacts where possible, then use simple, direct prompts for opt-in. No dark patterns. No scraped emails.
Qualify
Dedup, enrich, and verify consent before anything enters automation.
In practice: Bounced emails, duplicates, and questionable records get dropped early. We'd rather lose a lead than pollute your database.
Nurture
Persona-matched sequences across email, retargeting, and LinkedIn, paced to behavior, not a fixed calendar.
In practice: A RevOps lead and a marketing intern don't get the same touches. Channel, message, and timing adjust to role and what they actually did.
Score
One number. Four inputs: fit, engagement, intent, recency.
In practice: Skimmed a blog? Stay in nurture. Binged pricing and case studies three times? Move to SDR.
Handoff
Sales-ready contacts route to SDRs with full context, not just a name.
In practice: Each handoff lands in the CRM with profile, history, score, and why this person surfaced today.
Your pipeline. One screen.
This is a demo from a mid-market B2B SaaS example account (40–80 SDR seats · $15k–$80k ACV range). Your numbers are benchmarked against your own historical baseline, not a generic industry average.
Example: RevOps lead · viewed pricing 3× in 48h · downloaded one case study
Qualify first. Automate second.
Six engines run between the website visit and the SDR conversation. None of them fires without context.
Visitor capture & opt-in
Identify anonymous traffic via Midbound, match to ICP, and convert interest into a permissioned contact.
- Real-time visitor identification
- ICP matching & scoring
- Opt-in capture, compliant by default
- If a record is in doubt, we don't add it
Data qualification
Dedup, standardize, enrich, and verify consent so dirty data never enters automation.
- Firmographic & technographic append
- Email verification & decay repair
- Consent on record before send
Multichannel nurture
Persona-matched sequences across email, retargeting, and LinkedIn, paced to behavior, not a calendar.
- Behavioral cadence logic, not a fixed Day 1 / Day 3 / Day 7
- Conditional branching
- A/B tested messaging
- Stack: HubSpot · Salesforce · Clay · custom via webhook or API
Proprietary lead scoring
One score from four inputs (fit, engagement, intent, recency) decides who is ready and who keeps nurturing.
- Weighted multi-signal model
- Threshold-based promotion
- Score breakdown is visible to operators, not a black box
SDR handoff
Sales-ready contacts route to your SDR team with profile, history, score, and the reason they surfaced now.
- Salesforce & HubSpot sync
- Sales-ready package
- Closed-loop attribution
- Fewer 'why am I calling this person?' moments for SDRs
Pipeline intelligence
Velocity, stage flow, and source ROI in one console.
- Stage velocity tracking
- Cost-per-qualified-lead by source
- Exportable to your BI stack
Two layers. Fewer blind spots.
One intelligence layer at the top of the funnel, one above it, running simultaneously to feed reboundQ.
Most website visitors leave without ever filling a form.
Example account · figures vary by traffic quality and ICP definition
Works with: HubSpot · Salesforce · Clay · custom stack via webhook or API
A growing majority of buyers research via AI tools before they ever contact a vendor.
Coverage scores from a sample audit of queries in your category.
Works with your stack.
reboundQ plugs into the tools you already run. No rip-and-replace.
The math, not the hype.
Pilot benchmark · measured against each customer's own historical baseline
We don't promise magic 10× funnels. Every number on a live account is benchmarked against your own historical performance, not a generic industry average. We're running private pilots now; results here reflect example account data.
We built reboundQ for ourselves first.
We were GTM operators watching great SDR teams grind through cold lists while warm, high-intent traffic slipped past unnoticed every day. So we built the system we wished existed: identify it, qualify it, nurture it, score it, hand it off.
We opened it up when it started working.
If your SDR team is fewer than 3 people or your ACV is under ~$5k, this probably isn't the right fit yet, and we'd rather tell you that upfront than waste your time.
See what your traffic is worth.
Get a signal audit, or model the upside yourself with the ROI calculator.