Analyzes pipeline coverage and risk by rep, stage and segment, with activity-based explanations for slippage and deal-health changes.
RevManicRevenue Stack
Revenue intelligence platform that captures customer activity, enriches connected CRM records and supports evidence-based qualification, stakeholder mapping, account planning, coaching and pipeline analysis.
Revenue footprint
Analyzes pipeline coverage and risk by rep, stage and segment, with activity-based explanations for slippage and deal-health changes.
Provides a documented account buying-intent/likelihood-to-purchase metric; the score is an inference and not independent proof of intent.
Reads deal interactions and completes evidence-linked MEDDPICC, SPICED, BANT or custom methodology scorecards, flagging weak or missing criteria.
Provides on-demand AI coaching grounded in the team methodology, competitors and active deal evidence, while surfacing coaching gaps to managers.
Forecast intelligence predicts deal outcomes from real activity, stakeholder engagement, CRM context and patterns from historically closed deals.
Account strategy surfaces expansion opportunities and coverage gaps using activity history, relationships and account business context.
The Salesforce managed package creates contacts and enriches/matches customer records; other CRM connections have narrower API-based context.
Detects buyer stakeholders from email, calls and meetings and maps their title, seniority, department, buying power and engagement.
Automatically captures and matches observable email, meeting, call and chat activity to the right account and opportunity.
Automatically captures source activity, matches it to accounts/opportunities, enriches records and writes supported results to the connected CRM.
Generates account plans from CRM/activity history and public company information, carrying goals and relationships from pre-sale through renewal.
Synchronizes captured activities, contacts and enriched context to supported connected CRM records, with native Salesforce writeback.
Overview
Backstory, the current People.ai platform, combines email, meeting, call and CRM history with public company context. It automatically matches and writes activity and contacts to connected CRMs, scores opportunities against sales methodologies, maps buyer stakeholders, generates account plans and surfaces deal risk, forecast intelligence and contextual coaching.
Buying context
Pricing
Backstory provides a custom quote based on connected customer-facing people and a pre-packaged consumption allotment for answers such as summaries, risks and coaching flags. Viewers and feature tiers do not add seat charges. Its stated True Forward model adjusts future renewal packaging to actual usage without back-billing current-term overages. No public monetary rates are listed.
People.ai rebranded to Backstory.ai. Consumption-based (pay for people whose activity powers platform + answers consumed). Custom quote via form.
Check current price ↗List prices can exclude tax, usage charges, onboarding, add-ons, and negotiated discounts. Check the vendor page before buying.
Reviews
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Environment fit
How Backstory (formerly People.ai) works with your other tools. Open a finding for its source and any plan or setup limits.
A documented application programming interface is available for at least one product workflow.
The vendor provides a documented Model Context Protocol server for product access or actions.
The product supports a documented organization-managed single sign-on method.
Users can export material product data in a documented reusable format.
Tools Backstory (formerly People.ai) connects to.
We haven’t added integration details for this product yet.
Not yet recorded means we haven’t added a finding here. It doesn’t mean the feature is missing. We check these connections and settings separately from the work shown on the fit map.
RevManic's fit assessments are our editorial opinion. Check Backstory (formerly People.ai)'s website for the latest features, plans and pricing.
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