Platform

Who to contact, when, and why.

Four capabilities work together: detect intent, fill in the context, rank the pipeline and time the outreach — then write it all back to your CRM.

How data flows through HarvestIQ

Inputs
  • CRM leads & accounts
  • Web & content activity
  • Email engagement
  • Social & third-party intent
HarvestIQ
  1. 1Detect signals
  2. 2Enrich
  3. 3Score
  4. 4Time outreach
Outputs
  • Ranked lead list
  • Enriched CRM records
  • Real-time intent alerts
  • Next step + best time

Buying signal detection

HarvestIQ monitors prospect activity across digital touchpoints — pricing page visits, competitor comparisons, content downloads, email opens and social engagement — and correlates those signals with your historical close patterns.

Why it matters

Intent is time-sensitive. The team that reaches out while an account is actively evaluating has the conversation; the team that finds out a week later doesn't.

  • Alert when a prospect visits pricing several times in a week
  • Flag a target account starting to evaluate competitors
  • Spot content patterns that predict purchase intent
Buying signal detectionSample data
  • Pricing page · 3 visits92
  • Competitor comparison88
  • ROI guide download71

Lead enrichment engine

Every lead that enters your pipeline is enriched with firmographic data (company size, revenue, industry), technographic data (tools in use) and behavioral data (engagement history, social activity) from verified data sources.

Why it matters

Research is necessary but slow. Enrichment gives reps context in seconds, and keeps CRM records accurate as companies change.

  • Auto-fill company details, tech stack and decision-makers
  • Enrich inbound leads before they hit your CRM
  • Keep existing records fresh with continuous updates
Lead enrichment engineSample data
  • IndustryB2B SaaS
  • Employees140
  • Tech stackPipedrive, Slack

Predictive lead scoring

Machine-learning models weigh engagement history, company fit, timing and behavioral data to rank every lead by likelihood to close. The model improves continuously as it learns from your team's win/loss data.

Why it matters

A ranked list turns "who should I call?" into a decision the rep doesn't have to make from scratch every morning.

  • Prioritize daily outreach by AI-ranked score
  • Identify at-risk deals before they go cold
  • Focus SDR time where conversion is most likely
Predictive lead scoringSample data
  • Northwind Logistics92
  • Brightline Health84
  • Copperleaf Software77

Outreach timing AI

HarvestIQ analyzes response patterns across email, phone and social to recommend the day, time and channel for each prospect, factoring in timezone, industry norms and individual behavior.

Why it matters

The same message lands differently at 10 AM Tuesday than at 6 PM Friday. Timing is a lever most teams leave to chance.

  • Schedule outreach for when prospects are most responsive
  • Choose email, phone or LinkedIn per contact
  • Avoid low-engagement windows
Outreach timing AISample data
  • Maya ChenTue 10–11 AM · Email
  • Jordan EllisWed 2–3 PM · Phone
  • Priya NatarajanThu 9–10 AM · LinkedIn

Integrations

Fits the stack you already sell with.

Starter includes one CRM integration; Growth and Enterprise include unlimited. API access on Enterprise. Compare plans

Built for every seat in the revenue team

SDR teams

Prioritize outreach, skip manual research and book meetings with AI-scored leads and timing recommendations.

Account executives

Focus on deals most likely to close, with alerts when key accounts show buying signals.

Revenue leaders

Pipeline visibility with predictive analytics, and a clearer view of where the team's time goes.

See your own pipeline ranked by buying signals.

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