MadKudu is built for
- Marketing ops leaders at PLG and SMB SaaS
- Teams that need predictive lead scoring on marketing leads
- Marketo / HubSpot users with mature scoring needs
- Buyers comfortable with mid-five-figure annual contracts
Comparison
Recon vs MadKudu
MadKudu is a lead-scoring platform that helps marketing ops teams predict who will convert. Recon is broader ICP intelligence: it clusters segments, surfaces emerging ones, recommends where to point sales, and shows you where to redirect spend, in one workspace built for the whole GTM team.
Recon is built for
- B2B SaaS founders, RevOps, GTM at SMB to mid-market
- Teams that want segment-level intelligence, not just lead scoring
- HubSpot-native workspaces where founder + sales + marketing share one view
- Buyers who want flat monthly pricing and conversational AI on top
Side by side
| Capability | MadKudu | Recon |
|---|---|---|
| Core promise | Predictive lead scoring | ICP clustering + tier scoring + Recon AI recommendations |
| Surface | Score field synced into your CRM + dashboards | Brief dashboard, Scout experiments, Recon AI conversations |
| AI analyst | Predictive model output, limited free-form queries | Recon AI: ask in plain English, get answers with citations |
| Annual cost | Typically £30,000 to £80,000 / year | From £199 / month. £999 for the Consultant tier |
| Per-seat pricing | Often yes | No. Unlimited team members on every plan |
| Buying centre | Marketing Ops | Founder, RevOps, sales, marketing together |
Honest call
Choose MadKudu if…
Your single biggest job is to score inbound MQLs more accurately and pass the high-confidence ones to sales faster. MadKudu is a strong fit if predictive lead scoring is the entire ask.
Choose Recon if…
You want segment-level ICP intelligence on top of scoring. You want to see emerging segments, drift, and the action implications, not just a number per lead. You want one workspace the whole GTM team can use.
Not sure
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MadKudu is a trademark of its respective owner. We compete on positioning and audience fit, not on product disparagement. Pricing and feature notes reflect publicly available information at time of writing and may have changed.