Automatic activity capture
Ingests emails, calls, and meetings from connected customer-facing people and combines them with CRM data to build account and deal history.
Backstory
AI revenue intelligence for sales teams to assess pipeline risk and plan next steps.
Backstoryとは？
Backstory is an AI revenue intelligence platform for sales and go-to-market teams. It combines customer interactions with CRM records to answer questions about deals, accounts, and pipeline health. Answers draw on engagement history and link findings to supporting activity, helping teams assess risks and decide what to do next.
The platform captures customer activity automatically, without requiring reps to log it manually. Revenue leaders, managers, and operations teams can use that shared context for forecasting, account planning, and coaching.
Backstoryでできること
Pipeline analysis
Shows pipeline health by stage, with engagement scoring, risk headlines, forecasting, and waterfall charts. Status changes trace back to the activity behind them.
Stakeholder and account mapping
Identifies engaged contacts, people who have gone quiet, and stakeholders who have left. Supports automated account plans and parent account rollups.
Evidence-based qualification
Scores opportunities against MEDDPICC with supporting meetings or emails. Custom signals and situation search help identify qualification gaps.
MCP connector for AI assistants
Makes deal and account context accessible through Claude, ChatGPT, Copilot, Gemini, and custom AI agents. Teams can ask revenue questions in their existing AI workflows.
Historical deal comparison
Finds comparable deals from the organization's history and the actions that followed, giving teams context for objections, stalled negotiations, and rep coaching.
利用シーン
“Prepare a pipeline review”
Sales leaders can prioritize opportunities needing attention, investigate slipping close dates, and bring specific risks into coaching conversations before the weekly review.
“Explain forecast movement”
Revenue operations teams can use waterfall charts and engagement evidence to explain what changed in the quarter and support variance discussions with leadership.
“Plan account coverage”
Account teams can assess stakeholder engagement and missing relationships when deciding whom to contact or how to allocate coverage across an account.
“Navigate a stalled negotiation”
A manager can look up similar procurement or legal objections, examine how previous deals progressed, and build a call framework for the rep's next conversation.
よくある質問
How does Backstory pricing work?
Pricing combines a platform fee for connected customer-facing people with pre-packaged answer consumption pooled across the organization. Viewers have no seat fees, and everyone gets the full product without feature tiers.
What counts toward answer consumption?
Delivered outputs such as a surfaced risk, deal summary, coaching flag, generated brief, or answered question draw from the consumption package. Reading a dashboard is free.
What happens if usage exceeds the package?
Under True Forward pricing, service continues without back-billing for excess consumption during the current term. At renewal, the next term's package is adjusted to reflect actual usage.
Who can use Backstory across the organization?
Customer-facing reps, customer success staff, channel teams, and partners can supply activity data. Managers, finance, deal desk, and operations staff can access answers without purchasing viewer seats.
クイック情報
- Category
- AI revenue intelligence
- Primary users
- Sales leaders, revenue operations, and chief revenue officers
- Data context
- Customer interactions, CRM records, and public company news
- Access options
- Backstory Assistant, AI agents through MCP, and Slack
- Website
- https://www.backstory.ai
Backstory のトラフィック分析
トラフィックデータは参考情報としてご利用ください。
- 月間訪問数
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- 世界ランキング
- -
- 直帰率
- -
- 平均滞在時間
- -
- 訪問あたりのページ数
- -
- ドメイン評価
- 71
トラフィック推移
トラフィック分析データはまだありません。
トラフィックソース
トラフィック分析データはまだありません。
主な地域
トラフィック分析データはまだありません。
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Overpath
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Overpath is an AI execution layer for sales teams that connects deal context from CRM, email, calendar, calls, and team conversations. Its AI teammate, Molly, helps reps act on that context, update records, surface risk, and apply a sales methodology during execution.