Looking for an Apollo.io Alternative for Lead Scoring?

Apollo is one of the strongest sales-engagement platforms on the market: 200M+ contact database, dialer, sequences, AI assistant, and a free tier that brings sales orgs in by the thousands. The lead scoring is a secondary feature layered on outbound prospecting. If your job is scoring inbound HubSpot leads, the fit is awkward, here's why, and what to use instead.

Apollo and kenbun aren't competitors. Apollo is a sales-engagement and contact-data platform; the workflow is "find prospects in our 200M+ database, sequence them, dial them, track replies." Lead scoring exists inside that workflow as a way to prioritize the contacts already in your Apollo cadences. It's ML-generated, trained on your CRM and Apollo history, and produces reason codes for each lead.

For an SDR-led outbound shop running its prospecting from Apollo, that scoring is useful and bundled into a tool you're already paying for. For a marketing-ops or RevOps team scoring inbound leads flowing into HubSpot from forms, content, and the sales-led funnel, the fit is awkward in three ways. (1) Apollo's scoring is auto-AI, not user-authored rules; you can't edit weights line-by-line. (2) Apollo doesn't write its score into HubSpot's native HubSpot Score field (that field is read-only via API), so you end up running two parallel scoring systems. (3) Apollo's data accuracy is ~65–70% (15–25% bounce rates per third-party reports), which corrupts scoring inputs.

In March 2026, Apollo acquired Pocus, a PLG/revenue-ops signal platform, which begins extending Apollo's scoring into product-usage signals. That integration is in flight; expect 12–18 months before the combined platform is fully cohesive.

The Problem

  • • Lead scoring is auto-AI, not user-authored rules, RevOps can't edit weights line-by-line
  • • Doesn't write into HubSpot's HubSpot Score property (read-only via API), requires custom property workaround
  • • Outbound-DNA: scoring assumes you're prospecting from Apollo's DB outward, not scoring inbound forms
  • • Data accuracy ~65–70% with 15–25% email bounce rates corrupting scoring inputs
  • • Per-user + credit metering (Basic $49 / Pro $79 / Org $119, plus credit overages at $0.20/each)
  • • Pocus integration (March 2026) still in progress, combined platform 12–18 months out

What Apollo.io is in 2026

Apollo is an all-in-one sales-engagement platform: a 200M+ B2B contact database, email sequencing, multichannel outbound, US and international dialer, meeting scheduler, conversation intelligence, lightweight CRM, Chrome extension, AI writing assistant, and a workflow engine. Pricing: Free ($0, ~1,200 email credits/year), Basic $49/user/mo, Professional $79/user/mo, Organization $119/user/mo (3-user minimum). Phone lookups cost 8 credits, emails 1 credit. Credits expire monthly with no rollover; overages are $0.20/credit (250-min purchase).

AI lead scoring and account scoring are bundled starting at Basic. The model is auto-generated by Apollo's AI based on your CRM + Apollo history, weighting signals like title, company size, tech stack, web visits, email engagement, and topic-level intent. Apollo claims explainability via reason codes per lead, but admins don't author the rules, the model is auto-trained and re-weighted by Apollo.

Recent context: $251M raised total ($100M Series D at $1.6B valuation, Aug 2023). $150M ARR as of May 2025, +56% YoY. AI platform reportedly grew 500% YoY in 2025. Apollo acquired Pocus (revenue-ops/PLG signal platform) in March 2026, that integration extends Apollo's scoring surface into product-usage signals, but it's a 12–18 month build.

Apollo.io pricing
$49–$119/user/mo + credits
kenbun pricing
Starting at $199/mo (founding members: 50% off, for life)

Feature Comparison

Feature kenbun Apollo.io
Built for HubSpot inbound lead scoring
Rules you author and audit line-by-line
Auto-AI model + reason codes
Writes to HubSpot Score property
Custom property workaround only
Per-event half-life decay
200M+ contact prospecting database
Outbound dialer + email sequencer
Slack alerts (score deltas, not just outbound events)
Native, primary UX
Slack on outbound events, not score changes
Pricing model
From $199/mo (up to 20 users)
$49–$119/user + credit metering
Free tier
Setup time
Same day
2–4 weeks for HubSpot+Apollo scoring sync
Best fit
Score & prioritize HubSpot inbound leads
Find & reach outbound prospects

When kenbun is the right tool (and Apollo isn't)

You already have leads flowing into HubSpot from forms, content, and demo requests, you don't need a contact database.
You want rules your RevOps team authors and can defend to sales, not an auto-AI model with reason codes.
You want the score written into HubSpot's native HubSpot Score property, not a custom workaround field.
You want per-event half-life decay (a pricing-page view decays differently than a whitepaper download).
You want predictable from-$199/mo pricing, no per-seat multiplication, no credit overages.
You want Slack-native alerts when a lead crosses a score threshold, not Slack notifications on outbound replies.

When Apollo is the right call

Apollo and kenbun solve different problems. If you check most of these boxes, Apollo is the right tool, and kenbun is not the alternative:

  • • You're a sales-led / outbound-heavy team that prospects from a contact database
  • • You need email sequencing, dialing, and meeting scheduling in one tool
  • • You're comfortable with auto-AI scoring and don't need RevOps-authored rules
  • • You want a free tier to start and scale up to a paid seat as you grow
  • • You're a SDR/AE org with 5–50 seats running outbound from Apollo, not scoring HubSpot inbound

What kenbun doesn't do

We don't ship a contact database, dialer, email sequencer, or outbound automation. Apollo does all of those well. If you need to find and reach prospects, Apollo (or Outreach, Salesloft, etc.) is the right tool. We focus on scoring and prioritizing the leads already in your HubSpot, with rules a RevOps lead can author and defend, and Slack alerts when a lead crosses a score threshold.

Frequently asked questions

How much does Apollo cost in 2026? +
Free ($0, ~1,200 email credits/year). Basic $49/user/mo (1,000 monthly credits, AI lead scoring included). Professional $79/user/mo (adds US dialer, A/B testing). Organization $119/user/mo (3-user minimum, international dialer). Credits expire monthly with no rollover; overages are $0.20/credit (250-min purchase). For a 5-seat Pro deployment expect ~$400/mo before overages, meaningfully more if you're hitting the data ceiling.
Does Apollo's lead scoring write into HubSpot's native HubSpot Score field? +
No. The HubSpot Score property is read-only via API, so Apollo (and any third-party scoring tool) can't write directly into it. The Apollo workaround is to write the score into a custom HubSpot property, then reference it in a HubSpot scoring rule. This works but means you're running two parallel scoring systems, Apollo's and HubSpot's, and reconciling them in workflows. kenbun handles this differently: rather than fight the read-only constraint, kenbun replaces native scoring as the source of truth and writes to its own properties, which workflows and lists query.
What did Apollo's acquisition of Pocus change? +
In March 2026, Apollo acquired Pocus, a PLG/revenue-ops signal platform that scored product-usage events for companies running on Segment, Amplitude, or Mixpanel. The acquisition extends Apollo's scoring surface from contact data + email engagement into product-usage signals (PQL territory). The integration is in flight; combined-platform cohesion is a 12–18 month roadmap. Pocus customers were absorbed into Apollo's pricing structure post-acquisition.
Can I use both Apollo and kenbun? +
Yes, and many teams do. Apollo handles outbound prospecting and SDR cadences; kenbun handles inbound lead scoring and prioritization. They sit on opposite sides of the funnel. Apollo's contact data can flow into HubSpot via Apollo's sync, then kenbun scores those contacts using its rules engine. The two don't replace each other.
Is Apollo's AI lead scoring explainable? +
Partially. Apollo claims "explainable" output with reason codes per lead, listing the top contributing factors (title, company size, intent topic, etc.). What you don't get is the ability to author the rules yourself, Apollo's AI auto-generates and re-weights the model. For RevOps teams that want to encode "we score this signal because of X business reason" into the system, that's a real limitation. For sales orgs that just want a hot-lead list, the reason codes are usually enough.

Score HubSpot inbound, let Apollo handle outbound

From $199/mo. Same-day setup. Per-event audit trails. Slack-native alerts.

Book a Demo

Sources & references

← View all comparisons