CRM Picks

Best CRM with Sales Forecasting (2026)

The best CRMs for revenue forecasting in 2026 — pipeline-weighted forecasting, AI deal scoring, multi-scenario revenue planning, and the reporting depth RevOps and sales leadership actually need.

#1

Salesforce Sales Cloud

CRM · Starter $25/user/mo; Pro $100, Enterprise $175, Unlimited $350

The world's most widely deployed CRM platform, offering enterprise-grade pipeline management, AI-assisted selling, and an unmatched integration ecosystem.

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#2

HubSpot CRM

CRM · Free plan, paid from $20/mo

All-in-one CRM with marketing, sales, and service tools. Generous free tier, massive ecosystem.

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#3

Pipedrive

CRM · From $14/user/mo (annual); five tiers to $99/user/mo

Sales-focused CRM built around visual pipeline management and activity-driven selling. Popular with SMB sales teams for its clean interface and strong automation across its mid-tier plans.

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#4

Close

CRM · From $49/mo

CRM purpose-built for outbound sales. Built-in calling, email sequences, and automation for reps who close deals fast.

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#5

Monday CRM

CRM · From $12/seat/mo

Visual CRM built on Monday.com. Customizable pipelines, automation, and project management in one place.

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#6

Zoho CRM

CRM · Free (up to 3 users); from $14/user/mo (Standard) to $52/user/mo (Ultimate), billed annually

Feature-rich sales CRM covering lead management, workflow automation, AI forecasting, and multi-pipeline support — all at a price point well below Salesforce. Free for up to 3 users.

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How we picked

A real sales forecast is more than a pipeline sum. We weighted probability-weighted forecasting (does the CRM apply close-rate by stage or rep, or just multiply deal value by percentage?), AI signal use (does the system factor in deal age, last-activity, engagement, and historical rep accuracy?), multi-dimensional forecasting (can you slice forecast by pipeline, segment, geography, or product line?), and rep-vs-system reconciliation (can sales managers compare rep commits to system-calculated forecasts in a review?).

What to prioritize

  • Weighted forecasting by stage or rep. The default percentage-by-stage forecast is a starting point; the better tools learn rep-by-rep close rates and apply them automatically.
  • AI deal scoring tied to forecast. Forecasts should account for signal: deal age, last touch, engagement, and competitive presence. Static pipeline-stage forecasts are out of date.
  • Forecast vs commit reconciliation. Sales leaders run weekly forecast calls comparing system-calculated forecast to rep commits. The CRM should make that diff visible.
  • Snapshot history. You should be able to look back at last week's forecast and compare it to where the pipeline is now — the rate of pipeline change matters more than the absolute number.
  • Multi-segment, multi-pipeline rollups. Enterprise sellers, SMB sellers, channel — each forecasts differently; rollups should respect that.

Frequently asked questions

Which CRM has the best AI-powered forecasting?
Salesforce Einstein Forecasting is the most mature in production — it ingests historical close rates, deal-level signals, and rep behavior to generate probability-weighted forecasts. HubSpot's predictive forecasting is the strongest at the SMB/mid-market tier. Pipedrive's AI Sales Assistant is solid for deal-level coaching but lighter on macro forecasting.
Can I forecast across multiple pipelines or segments?
Yes — Salesforce, HubSpot Sales Hub Professional+, Monday, and Zoho CRM Enterprise+ all support multi-pipeline forecasting with segment breakdowns. Pipedrive and Close handle multi-pipeline well but flatten to a single revenue view by default.
How do these CRMs handle bottoms-up vs tops-down forecasting?
Salesforce and HubSpot let you compare rep-submitted forecasts against system-calculated weighted pipeline — the standard for sales-management reviews. Pipedrive, Close, and Zoho focus on the calculated forecast; rep-submitted commits are available but less central. For organizations running forecast calls, Salesforce/HubSpot fit better.
Do any of these forecast revenue, not just bookings?
Salesforce (with Revenue Cloud or CPQ), HubSpot (with Operations Hub or third-party tools like Maxio), and Monday (with custom recipes) can model recognized revenue, MRR/ARR, and renewals. Pipedrive and Close stop at booked deal value — for true revenue forecasting you'd add a downstream tool.