Your best prospects just changed jobs. Catch them before your competitors do.
Here's what happens at most companies using job change data:
PredictLeads alerts you that a VP Sales just joined your target account. You get an email. Maybe a Slack ping. Then... nothing. The alert sits in an inbox. Your rep doesn't recognize the name. They check LinkedIn, lose 20 minutes researching, get distracted by another fire, and forget to follow up.
Three days later, your competitor's SDR sends the "Congrats on the new role!" email. They get the meeting. You get nothing.
Job changes are the highest-intent signals in B2B. New hires have fresh budget. Promotions bring new authority. Departures create urgency. But intent without execution is just noise.
Today, that changes.
nRev now integrates directly with PredictLeads. Job change data doesn't just alert you. It triggers complete revenue workflows automatically. From signal to booked meeting. From new hire to new champion. From spreadsheet notification to executed action.
No manual research. No delayed follow-up. No missed windows.
Why Job Changes Win (And Why Timing Kills You)
Psychology 101: People in transition are open to change. A VP Sales in their first 90 days needs quick wins. They're evaluating their tech stack. They have budget and a mandate to improve things. They're literally looking for reasons to buy.
But this window closes fast. Wait two weeks and they're buried in onboarding. Wait a month and they've already inherited their predecessor's tools. Wait six weeks and your "Congrats on the new role!" email joins 47 identical messages in their trash.
The 30-day rule: Job change outreach works in the first 30 days. After that, response rates drop 60%.
Most teams miss this window because their process looks like this:
PredictLeads detects change → Alert fires → Rep sees email eventually → Rep researches manually → Rep drafts message → Rep sends generic "welcome" note → No response
By step three, the moment is gone.
With nRev + PredictLeads, the same signal executes in 4 minutes:
PredictLeads detects change → nRev enriches and scores → nRev drafts contextual outreach → nRev alerts rep with full brief → Rep approves and sends → Meeting booked
Same data. Different speed. Different outcome.
What PredictLeads Brings to the Table
PredictLeads tracks three core signals across 70 million job postings and 15 million companies:
Job Postings: Not just "we're hiring," but hiring velocity. Five sales roles in 30 days means scaling fast. New department creation means budget expansion. Tech stack mentions in job descriptions reveal current tools (and gaps).
Person Changes: New hires, promotions, departures. The moves that create buying committees and kill deals. PredictLeads tracks these in real-time, not when someone updates their LinkedIn profile two weeks later.
Company Changes: Funding rounds, acquisitions, leadership overhauls. The macro signals that predict budget availability.
The difference between PredictLeads and basic LinkedIn scraping? History and verification. PredictLeads shows hiring trends over time. They verify contact info for new hires before they hit your CRM. They correlate job changes with funding events to prioritize timing.
This is premium intent data. nRev makes sure you don't waste it.
What nRev Adds: From Signal to Execution
PredictLeads tells you who moved. nRev decides what to do about it — instantly.
Real-Time Ingestion: PredictLeads fires a webhook. nRev receives structured data (person, previous role, new role, company, change type, date) within seconds. No batch uploads. No CSV exports. No delay. See how connections work →
Smart Filtering: Not every job change deserves attention. nRev filters by:
- Role seniority (VP+, Director+, or specific titles you target)
- Department (Sales, RevOps, Marketing, Customer Success)
- Change type (new hire, promotion, departure, internal move)
- Company fit (ICP tier, existing customer, competitor customer, target account)
A new Marketing Coordinator at a prospect? Logged, no action. A new VP Sales at your enterprise target? Instant workflow.
Contextual Enrichment: PredictLeads provides the signal. nRev adds the context:
- Previous company and tenure (did they use your tool there?)
- Replacement for departed exec (who's the new decision-maker?)
- Company tech stack and funding status
- Your team's existing relationship with this account
Multi-Channel Action: Depending on the signal, nRev triggers different plays:
- Email draft for rep approval
- LinkedIn connection request sequence
- Slack alert to account owner with full research brief
- CRM task creation with specific next step
- Call reminder with talk track
Cadence Intelligence: New hires get "welcome + value" messaging. Promotions get "expansion" angles. Departures get "relationship bridge" approaches. nRev matches the message to the moment.
Five Playbooks That Book Meetings
Playbook 1: The New Hire Welcome (Create Champions)
The Scenario: PredictLeads flags a new VP Sales at one of your target accounts. They started Monday. Their inbox is filling with vendor spam. How do you stand out?
The nRev Workflow:
Enrich: Pull full profile — previous company, tenure, any history with your tool
Research: Check if they replaced a departed exec (relationship risk?) or it's a net-new role (growth signal?)
Draft: Generate contextual outreach referencing their specific situation:
- If promoted internally: "Congrats on the VP promotion. Usually means you're now thinking about scaling the team. Want to see how we support high-growth sales orgs?"
- If new hire from company using competitor: "Saw you made the jump from [Previous Company]. Curious—are you planning to bring [Competitor] over, or is this a fresh start for the tech stack?"
- If new hire, no known tool history: "Congrats on the new role at [Company]. Most VPs in their first 90 days focus on pipeline visibility. Here's how we helped [Similar Company] cut ramp time by 40%..."
Alert: Send Slack message to account owner with draft, contact info, and recommended send time (Tuesday 9am local time)
Follow-up: If no reply in 3 days, trigger LinkedIn connection request with voice note reference to the email
The Outcome: You're the first helpful vendor in their inbox, not the 20th generic "welcome" message. Response rates: 35-40% vs. industry average of 8%.
Playbook 2: The Promotion Power-Up (Expand Accounts)
The Scenario: Your champion at an existing customer just got promoted from Director to VP. More budget. Broader mandate. Bigger problems. This is expansion gold — if you catch it.
The nRev Workflow:
Update: CRM automatically updates title, infers new budget authority, tags as "expansion opportunity"
Identify: What "promotion problems" do they now own? (Bigger team = coaching needs. Broader remit = cross-functional alignment challenges.)
Route: Send to CSM, not SDR. This is growth conversation, not new business.
Draft: Expansion-focused outreach: "Saw the promotion — well deserved! Usually means you're now thinking about [scale challenge we solve]. Want to see how we support teams at your new size?"
Task: Create CRM task for CSM: "Schedule expansion QBR. Reference their new scope."
The Outcome: Grow accounts by catching expansion moments, not waiting for renewal conversations where it's too late to change scope.
Playbook 3: The Departure Defense (Save At-Risk Revenue)
The Scenario: Your internal champion — the person who fought for your contract — just left the company. The replacement doesn't know you. The renewal is in 4 months. This is how churn happens.
The nRev Workflow:
Alert: Immediate high-priority Slack to account owner and CSM: "CHURN RISK: [Name] departed [Company]. They were our champion for [Deal]."
Identify: PredictLeads tracks backfills. Who replaced them? Interim decision-maker or permanent hire?
Bridge: Draft "relationship transfer" email to new contact: "[Departed Champion] spoke highly of your team's vision for [Project]. As you settle in, want to ensure continuity on [Specific Initiative]..."
Pause: Stop automated outreach to departed contact (avoid awkward bounces)
Task: Sequence of relationship rebuild tasks for account owner over next 14 days
The Outcome: Reduce churn by managing sponsor transitions proactively. Most competitors lose 15-20% of accounts to champion turnover. This playbook cuts that in half.
Playbook 4: Hiring Velocity = Budget Signal (Acquire New Logos)
The Scenario: Your target account just posted 6 sales roles in 30 days. PredictLeads hiring velocity score: "High." This company is in scaling mode. They're hiring faster than they can onboard. They have budget and urgency.
The nRev Workflow:
Score: Flag as "high intent" — scaling fast means new tool evaluation likely
Identify: Who's hiring? VP Sales or Head of RevOps is your entry point
Draft: Timing-sensitive outreach: "Saw you're building out the team fast. Most companies hiring 6+ reps hit pipeline visibility challenges around month 6. Can share how [Similar Company] avoided the 'ramp crash'..."
Fast-track: Add to high-priority sequence (3-day intervals, not 7-day)
Alert: Notify BDR team to prioritize this account for outbound calls this week
The Outcome: Reach buyers when they have urgent pain and approved budget, not during steady-state "we're good with what we have" periods.
Playbook 5: Competitor Customer Job Changes (Steal the Champion)
The Scenario: A power user at your competitor's customer just changed jobs to a new company that doesn't use your tool. They know your space. They're likely frustrated with their current vendor. This is a "switch opportunity."
The nRev Workflow:
Flag: "Switch candidate" — former competitor customer, new company, no tool history
Research: Does new company use competitor there too? Or greenfield opportunity?
Draft: "Escape route" angle: "Congrats on the move! Curious—are you bringing [Competitor] with you, or is this a chance to evaluate alternatives? We'd love to show you what's changed since [Previous Company]..."
Offer: "Migration consult" not product demo (meets them where they are)
Route: To dedicated "competitive win-back" sequence with case studies from similar switches
The Outcome: Convert competitor's happy customers into your champions when they move. These deals close 40% faster — they already understand the category.
The Difference: Alert vs. Action
This isn't about saving clicks. It's about catching moments that expire. A job change alert that sits unread for 3 days is worthless. The same signal executed in 4 minutes books meetings.
Built for Who Actually Uses This Data
Account-Based Sales Teams: You target 500-5,000 accounts. You need to catch every relevant move without drowning in noise. nRev filters the firehose to your ICP only.
Customer Success / Expansion: Your existing accounts have champions who leave. nRev helps you save revenue by managing transitions, not discovering churn at renewal.
RevOps at Growth-Stage Companies: You bought PredictLeads for the data. Now you need to operationalize it without hiring three SDRs to manually process alerts.
Sales Agencies: You manage job change monitoring across multiple clients. nRev lets you build standardized playbooks that execute consistently at scale.
Setup: 20 Minutes to First Workflow
What you need: Active PredictLeads account, nRev account, 20 minutes.
Step 1: Connect PredictLeads webhook URL in nRev (view connection docs →)
Step 2: Map PredictLeads fields to nRev variables (person name, previous title, new title, company, change type, date)
Step 3: Build your first playbook:
- Choose filter criteria (VP+ sales roles at Series B+ companies)
- Select enrichment sources (Apollo for contact info, your CRM for existing relationships)
- Define actions (Slack alert + email draft + CRM task)
- Set timing rules (immediate for new hires, batch daily for lower-priority changes)
Step 4: Test with sample record from PredictLeads
Step 5: Activate and monitor dashboard
Total time: 20 minutes to first workflow. Compare to building this in Zapier + Clay + manual processes: 4-6 hours minimum.
Read full setup documentation →
The Bottom Line
Job change data is the most expensive intent signal you can buy. PredictLeads charges premium prices because the data is premium quality.
But data without execution is just a bill. Most teams use 10% of their PredictLeads subscription because they can't operationalize the other 90%.
nRev + PredictLeads closes that gap. Every signal gets scored, enriched, and actioned automatically. Your reps spend time selling to qualified prospects, not researching job changes.
You already bought the data. Now put it to work.
Ready to automate your job change response? Connect PredictLeads to nRev →
Questions about your specific account list or workflow design? Our team builds your first playbook with you — free, no sales pitch.