2026 Guide for Enterprise GTM Teams Seeking People.ai Alternatives
- RevOps
- 10 min
Introduction: Two Different Approaches to the Same Problem
Both People.ai and Nektar.ai operate in the revenue data capture category, helping enterprises automatically capture GTM activity and enrich their CRM using AI. However, they solve fundamentally different problems for different buyers.
People.ai is an established revenue intelligence platform with strong analytics capabilities, recent recognition as a Visionary in the 2025 Gartner Magic Quadrant for Revenue Action Orchestration, and a mature suite of tools including ClosePlan, account planning, and leadership dashboards.
Nektar.ai is an advanced data-first GTM telemetry solution focused on delivering clean, accurate, AI-ready CRM data directly into standard Salesforce objects, designed specifically for enterprises that want to power their existing BI stacks rather than adopt another analytics platform.
This guide is intended for GTM leaders, RevOps leaders, Sales Operations teams, and Data teams evaluating both solutions. It draws on direct enterprise evaluation feedback, product analysis, and independent research to help you determine which solution fits your specific needs.
Who This Guide Is For
This comparison is most relevant if your organization:
- Already operates a mature BI stack (Databricks, Snowflake, Looker, Tableau)
- Has dedicated RevOps or SalesOps teams building custom analytics
- Prioritizes CRM data accuracy over out-of-the-box dashboards
- Needs granular control over what data syncs to Salesforce
- Requires specific details around internal and external participation or meeting attendance intelligence (not just invitee data)
If your priority is comprehensive analytics UI, pre-built dashboards, and account planning tools, People.ai may be the stronger fit for your organization. But if you are looking at solving the data problem at its core without putting the additional enablement effort on a new training, Nektar is a better bet. This guide focuses on scenarios where data infrastructure is the primary buying criterion.
The Core Difference: Analytics-First vs Data-First
The fundamental difference between these platforms comes down to philosophy:
People.ai is built around the premise that revenue teams need better analytics and insights delivered through their platform. Data capture exists to power their dashboards, scorecards, and AI-driven recommendations.
Nektar.ai is built around the premise that enterprises already have analytics tools they trust. What they lack is clean, accurate, complete, unified rep activity data in CRM to feed those tools. Nektar focuses on being the best possible data layer.
Neither approach is inherently superior; they serve different organizational needs. The question is which approach matches your GTM infrastructure strategy.
Why Enterprises Evaluate People.ai Alternatives
Based on conversations with enterprise buyers evaluating both platforms, several consistent themes emerge:
1. Existing Analytics Investment
Many large enterprises have already invested significantly in Databricks, Snowflake, Looker, or Tableau. Their internal ops teams build custom dashboards tailored to their specific sales motions. For these organizations, adopting another analytics platform creates redundancy rather than value. They want the underlying data, not another UI.
2. Salesforce Integration Model
People.ai uses a managed package approach that creates custom objects in Salesforce. While this provides rich functionality within People.ai’s ecosystem, some enterprises report challenges including:
- Additional automation required to map data into standard Salesforce fields
- Complexity when using captured data in existing workflows or forecasting
- Duplicate participant records requiring cleanup
Nektar writes directly to standard Salesforce objects (Events, Tasks, Contacts), which can simplify integration with existing processes but may offer less specialized functionality.
3. Meeting Attendance Requirements
A significant differentiator for some buyers is meeting attendance intelligence. People.ai’s meeting data typically relies on calendar invites and recorded calls via CI platform integrations. Nektar captures both invitees and actual attendees, along with meeting status (completed, cancelled, no-show, under 10 minutes), without requiring recording.
For organizations focused on coaching, churn analysis, or executive involvement tracking, this distinction can be decisive.
4. Data Volume Control
Some enterprises express concern about data volume and Salesforce storage costs. Nektar offers granular sync controls that let administrators define which activities to capture, which contacts to create, and what thresholds to apply. People AI’s capture approach may generate higher data volumes, which can be beneficial for analytics but challenging for storage-conscious organizations.
Feature Comparison
The following table summarizes key capability differences between the platforms:
Key Differentiators: A Deeper Look
Opportunity Matching
Accurately attributing activities to the correct opportunity is critical for pipeline analytics and forecasting. The two platforms take different approaches:
People.ai uses configurable, rule-based matching logic that can be customized per deployment. This approach offers predictability but may require ongoing maintenance as your sales process evolves.
Nektar employs graph-based machine learning that analyzes email content, domain patterns, calendar metadata, and historical matching to attribute activities. Nektar reports accuracy rates above 90% in multi-opportunity environments, with the model improving over time through self-learning.
Meeting Intelligence
This is one of the most significant differentiators between the platforms:
People.ai captures meeting data primarily through calendar integration and conversation intelligence partners (Gong, Zoom IQ, Webex). Insights from recorded calls are available in their analytics but may not be written as structured fields in Salesforce.
Nektar captures both invitees and actual attendees directly from Zoom and Teams (without requiring recording), writes meeting status to Salesforce, and distinguishes between internal and external participants. This enables use cases like:
- Tracking which executives actually joined renewal calls
- Identifying no-show patterns that predict churn
- Measuring SE and CSM involvement in deals
- Coaching based on actual participation, not calendar entries
Engagement Scoring
People.ai provides engagement scoring as part of its analytics suite, displayed through their dashboards and scorecards. The scoring methodology is largely pre-defined and optimized for their UI.
Nektar offers customizable engagement scoring that writes directly to Salesforce fields. Organizations can define their own scoring formulas based on email, meetings, touches, attendance, roles, and recency, making it easier to integrate into existing workflows and BI tools.
Multi-User Attribution
Modern enterprise sales involve multiple internal stakeholders: AEs, SEs, CSMs, AMs, and leadership. Accurate attribution matters for:
- Understanding true time allocation
- Measuring team effectiveness
- Forecasting with complete engagement data
- Pod-based and team selling models
People.ai primarily attributes activities to the organizer, which can underreport involvement from SEs, CSMs, and other team members.
Nektar attributes each activity to every internal user and external contact present, providing complete visibility into team engagement.
Roadmap Considerations
Both platforms continue to evolve. Notable roadmap items to consider:
People.ai continues to expand its AI capabilities, recently launching AI-native forecasting and deepening integrations with conversation intelligence platforms. Their focus remains on delivering insights through their platform.
Nektar has recently developed Daisy, a transcript intelligence engine designed to extract structured signals from call transcripts and populate Salesforce fields automatically. Planned capabilities include sales play tagging, meeting type detection, and risk classification. These features are on the roadmap and should be evaluated based on your timeline requirements.
Note: When evaluating either platform, distinguish between current production capabilities and roadmap items. Ask for specific delivery timelines and consider how critical future features are to your buying decision.
Pricing Considerations
Neither vendor publishes standardized pricing, and both offer customized quotes based on deployment size and modules selected.
General observations from enterprise evaluations:
- People.ai tends to price at a premium, reflecting their comprehensive analytics suite, established market presence, and enterprise features like ClosePlan
- Nektar typically offers competitive pricing for organizations focused primarily on data capture rather than analytics
- Total cost of ownership should include implementation effort, Salesforce storage implications, and internal resources required for ongoing maintenance
Request detailed quotes from both vendors based on your specific requirements, and ask about implementation timelines, training, and support costs.
Data Portability and Exit Strategy
Enterprise buyers increasingly consider what happens to their data if they change vendors. This is an area where the architectural differences between the platforms matter:
People.ai stores significant data within their managed package objects. While this data lives in your Salesforce instance, transitioning away may require migration effort to preserve historical activity data in standard objects.
Nektar writes directly to standard Salesforce objects (Events, Tasks, Contacts). If you discontinue Nektar, your historical data remains in place without migration. This approach aligns with their positioning that no data is locked in Nektar’s database.
Where These Solutions Fit in the Broader Landscape
The revenue intelligence and GTM data space includes multiple categories of solutions:
- Revenue Intelligence Platforms (People.ai, Clari, Gong): Comprehensive analytics, forecasting, and insights
- Activity Capture Engines (Nektar, Einstein Activity Capture): Focused on CRM data quality and completeness
- Conversation Intelligence (Gong, Chorus, Momentum): Call recording, transcription, and coaching
- Sales Engagement (Outreach, Salesloft): Sequence automation with activity capture
People.ai competes primarily in the Revenue Intelligence category. Nektar positions itself as a specialized Activity Capture Engine that complements (rather than replaces) existing analytics investments. Your choice depends on whether you need an integrated analytics platform or a dedicated data layer.
Enterprise Evaluation Feedback
Several enterprise organizations have conducted formal evaluations comparing both platforms. While we cannot disclose specific company names, the evaluation criteria and outcomes provide useful context:
Evaluation Structure: Multi-week assessments including product demos, trial data comparisons, Salesforce blueprint reviews, technical due diligence, user interviews, and TCO modeling.
Common Selection Criteria Favoring Nektar:
- Organizations with mature Databricks/Snowflake investments prioritized data quality over analytics UI
- Teams requiring attendee-level meeting intelligence for coaching and churn analysis
- RevOps teams seeking to minimize Salesforce customization and storage overhead
- Enterprises valuing data portability and standard object architecture
Common Selection Criteria Favoring People.ai:
- Organizations wanting comprehensive out-of-the-box analytics and dashboards
- Teams prioritizing account planning features (ClosePlan, org charts)
- Enterprises seeking a single vendor for data capture, revenue intelligence and analytics
Customer Perspectives
On data vs. analytics:
“We already have a sophisticated analytics stack. We only needed accurate CRM data to feed it.”
On meeting intelligence:
“Knowing who actually attended the meeting, not just who was invited, was critical for our churn analysis.”
On Salesforce integration:
“We needed data written exactly where our existing workflows expect it, without additional mapping.”
On automation:
“We want meeting type detection and sales play tagging automated. That’s the direction we’re heading.”
Decision Framework
Consider Nektar.ai if:
- Your primary goal is clean, accurate, AI-ready CRM data
- You already have BI tools (Databricks, Snowflake, Looker, Tableau) you want to power
- Meeting attendance intelligence (not just invitee data) is a requirement
- You need data in standard Salesforce objects for existing workflows
- Controlling Salesforce data volume and storage is a priority
- Data portability and avoiding vendor lock-in matter to your organization
Consider People.ai if:
- You want comprehensive analytics dashboards and scorecards out of the box
- Account planning features like ClosePlan and org charts are important
- You prefer a single platform for data capture and revenue intelligence
- Gartner recognition and established market presence matter to stakeholders
- Your team has limited BI resources and needs pre-built analytics
- Deep conversation intelligence integrations are part of your stack
Conclusion
People.ai and Nektar.ai are both capable platforms serving the revenue data capture market, but they optimize for different outcomes.
People.ai excels as an integrated revenue intelligence platform with mature analytics, strong market recognition, and comprehensive features for organizations that want data capture and insights in one solution.
Nektar.ai excels as a specialized data engine for enterprises that prioritize CRM data accuracy, standard Salesforce integration, meeting attendance intelligence, and powering their existing BI investments.
For data-first organizations with mature analytics infrastructure, Nektar offers a compelling alternative to People.ai. For organizations seeking an all-in-one revenue intelligence platform, People.ai remains a strong choice.
The right choice depends on your specific infrastructure, team capabilities, and strategic priorities. We recommend conducting a structured evaluation with both vendors based on your unique requirements.
Bhaswati
Director of Content Marketing at Nektar.ai, an AI-led contact and activity capture solution for revenue teams. With 11+ years of experience, I specialize in crafting engaging content across blogs, podcasts, social media, and premium resources. I also host The Revenue Lounge podcast, sharing insights from revenue leaders.