Momentum Was Just Acquired by Salesforce. Here Are 7 Alternatives for GTM Teams.

On February 18, 2026, Salesforce signed a definitive agreement to acquire Momentum.io, the conversational insights and revenue orchestration platform. It's their tenth acquisition in six months, all aimed at bolstering Agentforce.

If you're a Momentum customer, you're probably asking: what now?

History tells us that Salesforce acquisitions take 12-24 months to fully integrate, and the product often gets worse before it gets better as it's absorbed into the mothership. Slack is the cautionary tale everyone points to. And if you're not on Salesforce? Momentum never actually shipped HubSpot support despite hinting at it for years. That's not getting better now.

Whether you're a current Momentum user evaluating options, or a GTM team that was considering Momentum and now needs to rethink, here are seven alternatives worth evaluating, each with a different approach to the core problem Momentum was solving: getting clean data into your CRM without making reps hate their jobs.

What Momentum Actually Did

Before we look at alternatives, it's worth understanding what made Momentum valuable:

• Conversational data capture: Joined Zoom, Google Meet, and Teams calls to transcribe and extract structured data
• Automated CRM updates: Wrote directly to Salesforce fields after calls, including MEDDPICC qualification data, next steps, and custom fields
• Slack-first workflow: Real-time alerts, deal rooms, and bidirectional Salesforce-Slack automation
• AI-powered agents: Deal execution, customer retention, coaching, and executive insight agents
• Retrospective analysis: Could analyze historical calls to backfill CRM data at scale

The core loop was Capture → Structure → Act. Most alternatives below handle one or two of these steps well. Few handle all three.

1. GTM Engine

Best for: Teams that want automated CRM data capture as infrastructure, not a point solution

GTM Engine takes a fundamentally different approach than Momentum. Rather than starting with conversation intelligence and working backward to CRM updates, GTM Engine starts with the data model itself through what they call the Common Customer Data Model (CCDM).

The CCDM is designed to unify all GTM data sources — not just conversations, but emails, calendar events, CRM activity, engagement signals, and more — into a single structured layer that keeps your CRM accurate without manual effort. Think of it as the infrastructure layer beneath tools like Momentum, rather than another application sitting on top.

Key differentiators:

• Works with both Salesforce and HubSpot (Momentum was Salesforce-only)
• Data model-first approach means it captures signals Momentum missed entirely
• Automates CRM data capture and analysis across the full customer journey, not just recorded calls
• Built for revenue operations teams who need clean data as a foundation, not another dashboard

Best for: Mid-market and enterprise GTM teams running Salesforce or HubSpot who want a foundational data layer, not another point solution that only captures what happens on recorded calls.

Pricing: Contact for demo

2. Gong

Best for: Conversation intelligence and coaching at enterprise scale

Gong is the 800-pound gorilla in conversation intelligence. If your primary use case was Momentum's call recording, transcription, and coaching capabilities, Gong is the most mature alternative.

That said, Gong and Momentum were always solving slightly different problems. Gong built an empire on analyzing past conversations to surface insights. Momentum's differentiator was acting on those insights automatically. In fact, Momentum integrated with Gong as a data source, pulling transcripts from Gong and then automating the CRM updates and Slack workflows that Gong doesn't do natively.

Strengths:

• Best-in-class conversation intelligence and call analytics
• Deep coaching and deal inspection capabilities
• Massive dataset from thousands of enterprise customers
• Strong competitive intelligence features

Limitations:

• Does not auto-write to CRM fields the way Momentum's Autopilot did
• Requires reps or managers to take action on insights manually
• Expensive at enterprise scale
• More of a system of analysis than a system of execution

Pricing: Custom enterprise pricing (typically $100-150+/user/month)

3. Scratchpad

Best for: Sales teams who hate the Salesforce UI and want a faster way to update CRM

Scratchpad attacks the same underlying problem as Momentum — reps don't update Salesforce — but from a completely different angle. Instead of automating updates from conversations, Scratchpad gives reps a dramatically better interface for updating Salesforce themselves.

Since Dooly (which competed directly with Scratchpad) sunset in mid-2025, Scratchpad has consolidated its position as the leading Salesforce UI overlay. They've since added AI capabilities that listen to calls and suggest field updates, moving closer to Momentum's territory.

Strengths:

• Reps actually love using it (rare for sales tools)
• Excellent pipeline views and bulk editing
• MEDDPICC/SPICED methodology enforcement
• AI-powered call analysis and suggested CRM updates (newer feature)
• Strong adoption rates because it makes reps' lives easier

Limitations:

• Salesforce-only
• Still requires some rep involvement to confirm updates
• Less automation depth than Momentum's Autopilot
• No Slack-first workflow orchestration

Pricing: Free tier available; Teams at $39/user/month; Business at $79/user/month

4. Rattle

Best for: RevOps teams who need Salesforce-to-Slack workflow automation fast

Rattle is the closest direct competitor to Momentum's Slack-first workflow automation. If your primary Momentum use case was bidirectional Salesforce-Slack alerts, deal rooms, and process automation, Rattle is the most natural replacement.

They position themselves as "Zapier on steroids" for revenue teams, and that's fairly accurate. No-code workflow builder, pre-built playbooks, and you can be up and running in 48 hours.

Strengths:

• Fastest time-to-value for Salesforce-Slack automation
• No-code workflow builder is genuinely easy to use
• Bidirectional CRM updates from Slack
• Strong data hygiene monitoring and compliance alerts
• Deal Rooms with real-time pipeline visibility
• Supports both Salesforce and HubSpot

Limitations:

• Relies on a "nudge" model — if the rep ignores the alert, data stays stale
• Less sophisticated AI than Momentum's extraction and summarization
• Doesn't do deep conversational analysis
• Better for simple compliance workflows than complex enterprise routing

Pricing: Starts at $19/user/month

5. Clari

Best for: Revenue leaders focused on forecasting accuracy and pipeline inspection

Clari approaches the GTM data problem from the forecasting angle. If your Momentum use case leaned heavily on the "AI CRO" executive insights and pipeline visibility features, Clari may be the best fit.

Clari's Copilot (formerly Wingman) added conversation intelligence capabilities, giving them some overlap with Momentum's call analysis. But their real strength is in revenue operations — forecasting, pipeline management, and deal inspection at scale.

Strengths:

• Best-in-class revenue forecasting
• Pipeline inspection and deal health scoring
• Clari Copilot adds conversation intelligence
• Activity capture across email, calendar, and calls
• Strong enterprise customer base

Limitations:

• Forecasting-first, not execution-first
• Doesn't automate CRM field updates the way Momentum did
• Conversation intelligence is an add-on, not the core product
• Can feel like another dashboard to check rather than an action driver

Pricing: Custom enterprise pricing

6. People.ai

Best for: Enterprise teams that need activity capture and revenue intelligence at scale

People.ai automatically captures sales activity data from emails, calendar, and calls and matches it to the right accounts and opportunities in your CRM. They've been around since 2016 and have deep enterprise penetration.

Where Momentum focused on what was said in conversations, People.ai focuses on what activities happened and whether they match winning patterns. Their "Ideal Rep Profile" benchmarking is unique in the category.

Strengths:

• Automated activity capture (emails, meetings, calls) without manual logging
• Revenue intelligence with deal scoring and risk identification
• Benchmarks rep activity against top performers
• Deep Salesforce and HubSpot integration
• Enterprise-grade security and compliance

Limitations:

• Less depth on conversational content analysis
• Doesn't extract specific field-level data from calls
• More focused on activity patterns than conversation insights
• No Slack-first workflow automation

Pricing: Custom enterprise pricing

7. Salesforce's Native Options (Agentforce + Einstein)

Best for: All-in Salesforce shops who want to wait for the Momentum integration

This is the "do nothing" option — and it's worth considering honestly. Salesforce bought Momentum specifically to integrate it into Agentforce 360 and Slackbot. If you're a committed Salesforce customer with patience, the acquisition means Momentum's capabilities will eventually become native to your CRM.

Salesforce's Einstein already offers predictive lead scoring, opportunity scoring, and next-best-action recommendations. Slack Sales Elevate provides basic opportunity management inside Slack. Agentforce is the new agentic AI layer that Salesforce is betting everything on.

Strengths:

• No additional vendor to manage
• Will eventually include Momentum's capabilities natively
• Einstein and Agentforce are rapidly improving
• Tight integration (eventually) with the full Salesforce ecosystem

Limitations:

• "Eventually" could be 12-24 months post-close
• Salesforce acquisitions historically degrade before they improve
• Current native capabilities are less mature than standalone alternatives
• Einstein's insights can feel like a black box
• You're locked into Salesforce entirely

Pricing: Included with some Salesforce editions; advanced features as paid add-ons

How to Choose: A Framework

The right Momentum alternative depends on which of Momentum's capabilities mattered most to your team:

If you need clean CRM data without manual entry → GTM Engine (data model approach) or Scratchpad (better UI approach)

If you need conversation intelligence and coaching → Gong

If you need Salesforce-to-Slack workflow automation → Rattle

If you need forecasting and pipeline inspection → Clari

If you need activity capture and rep benchmarking → People.ai

If you want to wait for Salesforce to integrate Momentum → Agentforce + Einstein

If you want the full picture — clean data, automation, and insights across Salesforce AND HubSpot → GTM Engine

The Bigger Picture

Salesforce acquiring Momentum validates what GTM teams have known for years: your CRM is only as valuable as the data inside it, and reps will never manually maintain that data at the quality your business needs.

The question isn't whether to automate CRM data capture. That debate is over. The question is whether you want a point solution that captures one type of data (conversations), or an infrastructure layer that captures everything and builds a unified data model your entire GTM team can rely on.

Momentum solved the conversation piece brilliantly. But conversations are just one input. The emails that never get logged, the calendar events that don't sync, the engagement signals that live in marketing tools, the relationship data scattered across LinkedIn and your inbox — all of that matters too.

That's why we built GTM Engine around the Common Customer Data Model. Not to replace conversation intelligence tools, but to be the foundation they all write to. Because when your data model is right, everything else gets easier: forecasting, coaching, territory planning, renewal management, and yes, even the AI agents Salesforce is betting their future on.

GTM Engine automates CRM data capture and analysis for go-to-market teams. We work with both Salesforce and HubSpot. Book a demo