Backstory vs Clari Forecast (2026)

Backstory

by Backstory

Clari Forecast

by Salesloft

Pros

• ✓Enterprise reference base is unusually strong for the category: OpenAI, Red Hat, HPE, Zscaler, Rubrik, Palo Alto Networks, CyberArk, Databricks and Mitel are named customers, which materially de-risks procurement.
• ✓Seats are not the billing unit. Managers, finance, deal desk and operations read answers at no additional charge, and every customer receives the full product with no feature tiers.
• ✓Activity capture is automatic. Email, calls and meetings are ingested with no rep logging and no behavior change, producing better data than CRM-only approaches that depend on rep discipline.

Limitations

• ⚠Pricing is quote-only. The vendor publishes its pricing model in detail and no figures at all, so a buyer cannot size a deal without contacting sales.
• ⚠Start time is published two ways. The vendor states most teams are live in two to four weeks, while G2's buyer-reported Time to Implement for this product is three months.
• ⚠The rebrand from People.ai is incomplete across the estate: the application is still served from people.ai, the Slack integration is still named for People.ai, and older material and third-party databases still carry the former name.

Pros

• ✓Forecast AI is trained on the organization's own historical data and predicts from deal size, stage and velocity, so the number is built from system signals rather than from figures reps type into a CRM.
• ✓Forecasts can be filtered by bookings, renewals, region, segment, account size or time period, and a unified dashboard holds individual and team forecasts together with week-over-week pipeline movement.
• ✓Sits in one platform with Salesloft engagement, Conversation Intelligence, Deals and Inspect on a single contract, so forecasting and execution share the same data.
• ✓The Salesloft MCP Server lets an external AI assistant read live pipeline, deal and forecast data directly instead of working from exports.

Limitations

• ⚠No published pricing of any kind: the pricing page redirects to a Talk to Sales form with no tier names, seat rates or package contents, so a buyer cannot size a deployment without a sales conversation.
• ⚠Forecast quality depends on the CRM feeding it, so teams with inconsistent opportunity management or thin activity logging get less from the AI layer than teams with disciplined CRM practice.
• ⚠Onboarding is a project rather than a signup, typically two to six weeks covering CRM integration, data sync, configuration and team onboarding.
• ⚠The G2 score attached to this product covers the Clari platform as a whole, so there is no review corpus for the forecasting product on its own.