People.ai

Name: People.ai
Brand: Backstory
Rating: 4.5 (650 reviews)

Leader

Driving trillions in pipeline and revenue for the world’s top sales teams.

Est 2016|Valuation $1.1B|Raised $197.1M|38 Ref Customers

LinkedIn 30K|Web traffic 3K|FTEs 98|HQ San Francisco, California, US

MarketsCRM Sales Forecasting RevOps Planning & Orchestration

01Competitive Landscape

Narrative analysis

#### Differentiators - People.ai is most applicable when the buyer aims to build an activity and relationship data foundation and operationalize it directly in Salesforce. - Clari is often selected when forecasting accuracy and a centralized forecasting cockpit are the primary problems to solve. - Gong is often selected when coaching, enablement, and conversation insights are the priority. #### Feature comparison (where People.ai excels vs lags) - Excels: - Salesforce-centric operational workflows (embedded components, PeopleGlass-style views) - Contact creation, association, and activity capture - Lags or is less central: - Conversation intelligence depth compared with specialized vendors like Gong #### Pricing comparison - All three vendors are typically enterprise and quote-based. - Public pricing is limited and third-party estimates vary; buyers should run a structured RFP focusing on: - license model (rep vs manager vs admin) - platform fees - implementation fees - data volume costs #### Customer testimonials comparing tools - Review summaries indicate People.ai is often praised for CRM integration; Scratchpad is frequently praised for simplicity and perceived support.

	People.ai	Clari	Gong
Starting Price	Quote-based (public pricing limited; often described as per-user enterprise subscription)	Quote-based (pricing on request)	Quote-based (various third-party estimates; commonly annual contracts)
Primary use case	Enterprise RevOps needing activity/contact capture, process enforcement, and Salesforce-centric workflows	Forecasting-first revenue operations and pipeline management	Conversation intelligence and deal coaching, with related workflows
Strengths	Activity and contact capture into CRM; Salesforce embedded workflows; methodology scorecards	Forecasting workflows and revenue cadence standardization	Call insights, coaching, and conversation analytics
Limitations	Value depends on upstream data quality; integration edge cases; can be heavyweight for smaller teams	Pricing transparency is limited; may require broader process change	Often requires call recording adoption and associated fees; pricing can be significant

01Competitive Landscape

Narrative analysis

Differentiators

People.ai is most applicable when the buyer aims to build an activity and relationship data foundation and operationalize it directly in Salesforce.
Clari is often selected when forecasting accuracy and a centralized forecasting cockpit are the primary problems to solve.
Gong is often selected when coaching, enablement, and conversation insights are the priority.

Feature comparison (where People.ai excels vs lags)

Excels:
- Salesforce-centric operational workflows (embedded components, PeopleGlass-style views)
- Contact creation, association, and activity capture
Lags or is less central:
- Conversation intelligence depth compared with specialized vendors like Gong

Pricing comparison

All three vendors are typically enterprise and quote-based.
Public pricing is limited and third-party estimates vary; buyers should run a structured RFP focusing on:
- license model (rep vs manager vs admin)
- platform fees
- implementation fees
- data volume costs

Customer testimonials comparing tools

Review summaries indicate People.ai is often praised for CRM integration; Scratchpad is frequently praised for simplicity and perceived support.

	People.ai	Clari	Gong
Starting Price	Quote-based (public pricing limited; often described as per-user enterprise subscription)	Quote-based (pricing on request)	Quote-based (various third-party estimates; commonly annual contracts)
Primary use case	Enterprise RevOps needing activity/contact capture, process enforcement, and Salesforce-centric workflows	Forecasting-first revenue operations and pipeline management	Conversation intelligence and deal coaching, with related workflows
Strengths	Activity and contact capture into CRM; Salesforce embedded workflows; methodology scorecards	Forecasting workflows and revenue cadence standardization	Call insights, coaching, and conversation analytics
Limitations	Value depends on upstream data quality; integration edge cases; can be heavyweight for smaller teams	Pricing transparency is limited; may require broader process change	Often requires call recording adoption and associated fees; pricing can be significant