Salesforce Lead Scoring in 2026: an honest map

kenbun is HubSpot-native today. Salesforce support is on our roadmap, not in production. This page is for Salesforce-using teams shopping their scoring options. We'll map the in-ecosystem choices (Einstein, Pardot, Data Cloud, Agentforce) honestly, then show where kenbun will fit when SFDC support ships.

A note on framing before anything else: kenbun integrates with HubSpot today, not Salesforce. If you're running on Sales Cloud + Pardot + Data Cloud, kenbun is not a drop-in replacement for any piece of that stack right now. Salesforce-native scoring is on our roadmap, get on the early-access list at the bottom of this page if you'd like to be notified when it ships.

In the meantime, this page is a useful resource for Salesforce buyers shopping their scoring options. The Salesforce ecosystem contains five distinct paths to "score a lead," and most teams don't see them clearly. We'll map them honestly, with current 2026 pricing and the actual tradeoffs, so you can choose the right SFDC-native tool for your stage and budget. If you also happen to be evaluating a CRM migration to HubSpot, the kenbun-vs-HubSpot-native comparison is at /compare/hubspot-lead-scoring-alternatives/.

The Problem

  • Einstein Lead Scoring outputs a 1–99 score with "top contributing factors", explainability is partial; reps still call it a black box
  • Pardot/Account Engagement starts at $1,250/mo (Growth) and the UX is widely criticized as dated post-MC consolidation
  • Data Cloud uses credit-based pricing ($500 per 100K credits) that's hard to forecast for scoring use cases
  • Agentforce per-conversation/credit billing is volatile at scale; ROI for scoring use cases is unproven
  • Slack-native alerts on score thresholds require Slack Sales Elevate ($60/user/mo on top of SFDC) or custom Flows
  • Einstein needs 1,000+ leads and 120+ conversions in the last 6 months to train reliably

The five Salesforce scoring options in 2026

Einstein Lead Scoring (in Sales Cloud) is an ML-driven 1–99 score (not A/B/C/D; that's the legacy Pardot grade). Trained on your converted leads. Refreshes every ~6 hours. Add-on at ~$50/user/mo on Enterprise; included in Unlimited. Strength: native, ML-driven, mature. Weakness: data hunger (needs 1,000+ leads), score-refresh latency, and the "top contributing factors" explainability is thin enough that reps still distrust it.

Marketing Cloud Account Engagement (formerly Pardot) is hybrid: a classic rules-based score (0–100, behavior-driven) plus letter grade A–D (demographic fit) plus optional Einstein Behavior Score. Tiers: Growth $1,250/mo, Plus $2,750/mo, Advanced $4,400/mo, Premium $15,000/mo. Strength: rules-based and reasonably explainable in the Growth tier. Weakness: dated UX, slow product cadence post-MC consolidation, perceived as in maintenance mode.

Data Cloud + Einstein 1 unifies cross-cloud data, runs scoring on top via calculated insights, and feeds Einstein/Agentforce. $500 per 100K credits, fungible across functions. Salesforce-source ingestion is now free (Sales/Service/MC Engagement/Personalization/Commerce). Strength: scale, unification, future-proof. Weakness: complex setup, credit consumption hard to forecast, often needs an SI partner.

Agentforce uses autonomous agents to prioritize, route, and qualify leads via prompts. Pricing options: Flex Credits at $500/100K; Conversations at $2/conversation; per-user $125–$150/user/mo add-on, up to $550+/user for Agentforce 1 Editions. Strength: agentic execution beyond static scoring. Weakness: cost runs away at scale, scoring-specific ROI unproven.

AppExchange third-party scoring tools (LeanData, Demandbase, 6sense, MadKudu now via HG Insights, and others) plug into SFDC. Common path for teams whose native scoring fell short. Pricing varies wildly; expect $25K–$100K+ ACV for the meaningful tools.

Salesforce pricing
$1,250/mo (Pardot Growth) → $50K+/yr (full enterprise stack)
kenbun pricing
Starting at $199/mo (founding members: 50% off, for life)

Feature Comparison

Feature kenbun Salesforce
CRM required
HubSpot only (today)
Salesforce
Salesforce support timeline
Roadmap
Native
Pricing model
From $199/mo
$50–$550/user + tiers + credits
Public flat pricing
Time to first scored lead
Same day (HubSpot)
Weeks–months
Min data volume
None (rules-based)
Einstein: 1,000 leads + 120 conv.
Score explainability
Per-event audit trail
Einstein top-factors / Pardot rules visible
Per-event half-life decay
Group-level (Pardot)
Slack-native alerts on score thresholds
Native (HubSpot side)
Sales Elevate ($60/user) or custom Flow
Best fit
HubSpot SMB/MM B2B SaaS
Salesforce-locked teams at any scale

When Salesforce teams should consider kenbun

You're actively evaluating a CRM migration to HubSpot, kenbun comes online the day you flip the switch.
You want to be on the early-access list when kenbun's native Salesforce integration ships (sign up below).
You're piloting HubSpot for one BU or geo while keeping SFDC for enterprise, kenbun scores the HubSpot side from day one.
You've tried Einstein and Pardot and want a future option that prioritizes per-event explainability over ML predictions.

If you're staying on Salesforce, here's what to evaluate

kenbun is honestly not the right tool for an SFDC-locked team today. The right play depends on your stage and budget:

  • Series A / SMB on Pardot Growth ($1,250/mo), the bundled rules score + A–D grade is usually enough; tune what you have rather than buying more
  • Mid-market with Sales Cloud Enterprise, Einstein Lead Scoring add-on (~$50/user/mo) if you have 1,000+ converted leads and accept partial explainability
  • Enterprise with deep ABM motion, 6sense or Demandbase via AppExchange is the standard path; expect $50K–$300K/year
  • PLG with rich product-usage data, MadKudu (now HG Insights) for ML-driven PQL scoring
  • Heavy AI workflow ambition, Agentforce, but model the credit costs carefully before committing

kenbun is HubSpot-only today

Our integration story is HubSpot-first by deliberate design, purpose-built rather than CRM-agnostic. Salesforce support is a planned, demanded feature on our roadmap; we haven't shipped it yet because we'd rather build a native, deep SFDC integration than a thin Zapier-style sync. If you're Salesforce-locked and not considering migration, kenbun is not the right tool today. If you'd like to be notified when SFDC support ships, get in touch via the CTA below.

Learn more about this decision →

Frequently asked questions

Does kenbun work with Salesforce in 2026? +
No, not natively today. kenbun integrates with HubSpot. Salesforce support is on our roadmap, but we haven't shipped it. If you're a Salesforce team, this page is a resource for evaluating in-ecosystem options today; get on our notification list to hear when SFDC support is live.
What does Einstein Lead Scoring output? +
A 1–99 numeric score (not A/B/C/D, that's the legacy Pardot rules-based grade, which is a separate concept). Einstein shows the top contributing factors per lead, but the underlying ML weighting is opaque enough that reps routinely call it a black box. Refreshes every ~6 hours. Requires at least 1,000 leads and 120+ conversions in the last 6 months to train reliably.
How much does Pardot/Account Engagement cost in 2026? +
Marketing Cloud Account Engagement tiers: Growth $1,250/mo, Plus $2,750/mo, Advanced $4,400/mo, Premium $15,000/mo. Each has user/contact caps. The classic rules-based score and letter grade are bundled at Growth; Einstein Behavior Score is an upgrade. Pardot has been criticized as in maintenance mode post-MC consolidation, but for SMB/MM teams that just need a working rules engine in the SFDC ecosystem, Growth is fine.
Does Salesforce ship native Slack alerts on lead score changes? +
Not out of the box. Salesforce owns Slack, but lead-score alerts require either Slack Sales Elevate ($60/user/mo on top of SFDC, requires Slack Business+ and Sales Cloud Pro+) for native record-triggered notifications, or hand-built Flows with Slack actions for free. There's no pre-wired "high-score lead → Slack DM" feature in base SFDC or Pardot.
When will kenbun support Salesforce? +
On the roadmap, no committed date yet. We're building HubSpot deeply first because the buyer overlap is real and the integration surface is more contained. SFDC native support is the next major integration; we'll publish a target quarter once the work begins. Reach out through the contact form on the homepage to be notified.

Notify me when kenbun supports Salesforce

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Sources & references