People.ai and ORM operate in the same ecosystem but at different layers. People.ai captures what your sales team is doing: every email, meeting, call, and touchpoint. ORM analyzes what those activities produce and prescribes what to change. One is about data capture. The other is about data-driven action.
The verdict: these are complementary tools, not competing ones. People.ai solves the activity data gap that makes CRM data unreliable. ORM solves the analytical gap that makes pipeline data actionable. The companies that benefit most from prescriptive analytics are often the ones with the best activity data, which is exactly what People.ai provides.
Feature Comparison
| Feature | ORM | People.ai |
|---|---|---|
| Primary function | Prescriptive revenue analytics | Activity data capture and intelligence |
| Core capability | Custom forecast models + prescriptive actions | Automated activity logging + account mapping |
| Deployment | Managed service (dedicated analyst team) | Self-serve platform |
| Data captured | Ingests CRM pipeline data | Captures emails, meetings, calls, contacts |
| Activity tracking | Leverages CRM and enriched data | Core strength: comprehensive activity capture |
| Buying committee mapping | Uses CRM contact data | Maps stakeholders from activity data |
| Forecast accuracy | 85-95% (client-verified) | Not a forecasting tool |
| Prescriptive output | Yes: deal, segment, and rep-level actions | No: activity insights and engagement scores |
| Account scoring | Included in pipeline analysis | Core capability based on engagement |
| Rep productivity analysis | Informs capacity recommendations | Core capability: activity patterns by rep |
| CRM integration | Salesforce, HubSpot | Salesforce (primary), HubSpot |
| Best for | Forecast accuracy and revenue optimization | Activity data capture and engagement intelligence |
Where People.ai Excels
Activity capture at scale. People.ai automatically logs every email, meeting, and call without reps entering data manually. For enterprise sales organizations with hundreds of reps, this solves the CRM hygiene problem at its root. Instead of relying on reps to log activities (which they do inconsistently), People.ai captures everything.The scale of the data capture is significant. People.ai processes billions of activities across its customer base, providing benchmarks and patterns that inform its engagement models.
Buying committee mapping. People.ai identifies all stakeholders involved in a deal by analyzing activity data. If a rep has been emailing 3 contacts at an account but 2 additional stakeholders attended a recent meeting, People.ai surfaces those relationships. For enterprise deals where buying committees average 6-10 people (Gartner), knowing who is engaged and who is missing is critical. Account engagement scoring. The platform scores accounts based on activity volume, frequency, and stakeholder coverage. Accounts with declining engagement get flagged. Accounts with increasing multi-stakeholder engagement signal health. These scores help managers prioritize pipeline reviews. Rep productivity analysis. People.ai provides visibility into how reps spend their time. How many meetings per week. Email response times. Account coverage patterns. For sales managers and enablement teams, this data drives coaching conversations grounded in behavior, not opinion.Where ORM Excels
Forecast accuracy. ORM builds custom mathematical models that achieve 85-95% forecast accuracy. The models are calibrated to your specific conversion rates, sales cycle length, and pipeline dynamics. People.ai provides pipeline intelligence but does not generate revenue forecasts. Prescriptive analytics. ORM's models do not stop at a prediction. They decompose the gap between forecast and target by segment, stage, and rep, then prescribe specific actions. Accelerate these three deals. Add $1.8M in pipeline to mid-market. Shift one SDR from enterprise to commercial. People.ai identifies patterns and flags risks. ORM tells you what to do about them. Revenue optimization across segments. ORM's models analyze how resources, pipeline, and conversion rates interact across all segments of your revenue engine. The optimization recommendations account for constraints: limited rep capacity, marketing budget, and time. People.ai provides activity data within accounts. ORM optimizes across the entire portfolio. Board-level analytical output. ORM produces the forecast, the variance analysis, the gap decomposition, and the action plan that revenue leaders present to the board. People.ai produces engagement data and activity intelligence that informs internal pipeline reviews but is not the board presentation.When People.ai Is the Better Choice
CRM data quality is your biggest problem. If your pipeline analysis suffers because reps do not log activities, People.ai fixes that at the source. Better activity data improves every downstream analytical tool, including ORM. You need buying committee visibility. For enterprise sales organizations where deals involve large buying committees, People.ai's stakeholder mapping reveals contacts and relationships that CRM data misses. This is particularly valuable for companies selling to large accounts where knowing who is not engaged is as important as knowing who is. Rep coaching needs data. If your sales managers run coaching conversations based on intuition rather than behavior data, People.ai provides the activity data that grounds those conversations in facts. You are evaluating what your team actually does. People.ai reveals how reps spend their time. If you suspect that rep activity patterns are misaligned with the pipeline strategy, People.ai provides the evidence.When ORM Is the Better Choice
Forecast accuracy is the priority. If your board expects 90%+ forecast accuracy and your current methods deliver 70-80%, ORM addresses that gap directly with custom models. You need prescriptive action plans. Activity data without a prescriptive layer is information. ORM converts information into action. The difference between knowing which accounts have declining engagement and knowing exactly what to do about it is the difference between a dashboard and a plan. Your revenue challenges span multiple functions. ORM's recommendations often span marketing, sales, and customer success. Reallocate marketing budget here. Shift sales capacity there. Prioritize these expansion accounts. People.ai operates primarily within the sales activity domain. You want the analytical outcome without building the team. Operating People.ai requires RevOps capacity to interpret the data and act on it. ORM is the analytical team. You get the prescriptive output, the recommendations, and the working sessions without hiring data analysts.Using Both Together
The combination is powerful. People.ai enriches the data that ORM models.
People.ai provides: comprehensive activity data, engagement scores, buying committee maps, and stakeholder coverage metrics. This data improves ORM's models because activity signals (meeting frequency, multi-threading depth, champion activity) are strong predictors of deal outcomes.
ORM provides: custom forecast models, gap decomposition, and prescriptive recommendations that factor in People.ai's engagement data alongside pipeline stage, deal age, and segment dynamics.
The result is a more accurate forecast (because activity data improves prediction quality) and more specific prescriptive actions (because engagement signals inform the recommendations). "Accelerate deal X because champion engagement dropped 40% in the last two weeks and executive stakeholder has not been contacted" is a more actionable recommendation than "accelerate deal X because it is aging."
The Bottom Line
People.ai captures what your sales team does. ORM analyzes what the pipeline will produce and prescribes what to change. They are different tools solving different problems.
If your biggest gap is data quality and activity visibility, start with People.ai. If your biggest gap is forecast accuracy and prescriptive action, start with ORM. If you can invest in both, the combination produces better data, better models, and better outcomes than either tool alone.
Related reading: - Best RevOps Tools - ORM vs Gong - ORM vs Clari - Best Sales Forecasting Tools - Buying Committee - Champion Activity - Executive EngagementFrequently Asked Questions
Is ORM a replacement for People.ai?
No. People.ai captures and analyzes sales activity data (emails, meetings, calls) and maps it to accounts and opportunities. ORM builds custom prescriptive revenue models that forecast outcomes and recommend specific actions. People.ai provides the activity data layer. ORM provides the analytical and prescriptive layer. They solve different problems and work well together.
Does People.ai do revenue forecasting?
People.ai provides pipeline intelligence based on activity data, but forecasting is not its primary function. The platform identifies accounts with high engagement, flags accounts with declining activity, and helps managers understand rep behavior patterns. ORM is purpose-built for forecast accuracy (85-95%) and prescriptive recommendations.
Can you use ORM and People.ai together?
Yes, and the combination is strong. People.ai captures the activity data that improves ORM's models. ORM's prescriptive output gains accuracy when it can factor in engagement signals like meeting frequency, stakeholder coverage, and champion activity. People.ai enriches the inputs. ORM optimizes the outputs.
See how ORM turns these insights into action
ORM builds custom revenue forecast models for B2B SaaS companies. Not dashboards. Prescriptive analytics that tell you what to do next.
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