Kampaign.ai for Chief Revenue Officers
Build predictable pipeline with signal-based GTM that proves ROI
The CRO's Challenge
Unpredictable Pipeline
Marketing passes 'MQLs' that never convert. Sales targets accounts that aren't in-market. Revenue becomes a guessing game.
GTM Spend Efficiency
You're spending on 5+ tools (sequencer, enrichment, intent data, dialer, video) but can't prove which ones drive revenue.
Attribution Blind Spots
You know SQLs and closed-won, but what triggered the opportunity? Which signals predict conversion?
Long Sales Cycles
Reps contact prospects at the wrong time, leading to months-long nurture cycles instead of fast closes.
How CROs Use Kampaign.ai
Signal-Based Pipeline Generation
Stop relying on form fills and MQLs. Build pipeline from accounts showing actual buying signals:
- Funding events: Companies just raised capital and have budget
- Hiring spikes: Scaling teams indicates growth and tool adoption
- Executive changes: New leaders bring budget reallocation
- Regulatory triggers: Compliance changes create urgent needs
Result: Packaging company generated $60K pipeline in 2 weeks targeting FDA regulation signal
Full-Funnel Attribution
Track the complete journey: Signal → Touch → Reply → Meeting → Opportunity → Revenue
- See which signals drive closed-won (not just meetings)
- Calculate true CAC by signal type
- Know which channels work by buyer persona
- Prove marketing's contribution to revenue
Dashboard shows: 'Hiring spike' signals convert at 18% vs 4% for cold outreach
GTM Spend Consolidation
Replace 5+ tools with one unified platform:
- Replace: Intent data provider + Enrichment tool + Sequencer + Dialer + Video tool
- With: Kampaign.ai (signal detection + AI content + multi-channel orchestration)
- Save: $1,500-3,000/month in tool spend
- Gain: Unified data model and attribution
Forecast Accuracy
Hotness Scores (0-100) predict deal velocity and close probability:
- Accounts with 80+ Hotness Score → 3x faster close
- Multi-signal accounts (funding + hiring + exec change) → 60% close rate
- Track signal decay (how quickly opportunities go cold)
- Prioritize rep time on highest-probability accounts
Metrics CROs Track in Kampaign.ai
Pipeline by Signal Type
Funding: $450K | Hiring: $320K | Exec Change: $180K
CAC by Channel
Email: $1,200 | LinkedIn: $1,800 | Phone: $2,400
Signal → Close Time
Avg: 32 days (vs 67 days for cold outreach)
Win Rate by Hotness
80+: 35% win rate | 60-79: 18% | <60: 6%
Tool Cost Savings
Before: $3,200/mo | After: $299/mo (Growth plan)
Rep Productivity
Before: 20 accounts/week | After: 50 accounts/week
"We were spending $3K/month on 6 different tools and still couldn't tell which signals drove revenue. Kampaign.ai gave us signal detection, AI content, and full attribution for $299/month. ROI was immediate."— CRO, Mid-Market SaaS Company
See How Signal-Based GTM Improves Your Metrics
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