Rippit vs. Medallia for Conversation Analysis and Agents (2026): Differences, Pricing, and When to Use Both

What's the difference between Rippit and Medallia?

The three biggest differences are pricing model, time to value, and focus.

Pricing model. Rippit publishes its pricing, from a free plan to $185/month and $495/month plans.[5] Medallia doesn't publish prices; it prices its platform in annual tiers based on Experience Data Records, and buyers contact sales for a quote.[6]

Time to value. Rippit is self-serve: sign up on the website, connect Zendesk, Intercom, Granola or Gong in one click and go live in minutes, with no engineering required.[5][8][2] Medallia's professional services cover solution design, configuration and deployment.[13]

Focus. Medallia is built around feedback capture and experience management, with text and speech analytics for contact center conversations.[1][7] It works well for running a formal CX measurement program across touchpoints. Rippit is AI conversation analytics and agents, built for scale.[2] It analyzes every conversation from any source, including support, sales and success calls,[8] and stores what it finds as fields any team can query and keep drilling into.[12] Agents then monitor those fields, analyze them and act on what they find.[2] Medallia starts with the questions you choose to ask. Rippit starts with the conversations customers already have with you.

Can you use Rippit and Medallia together?

Yes. Rippit integrates with Stella Connect, Medallia's agent feedback product (also called Medallia Agent Connect),[16] and syncs that customer feedback into Rippit alongside your conversations.[9] You keep Medallia for surveys and use Rippit to explain the scores. Rippit does the mass-scale enrichment, storing a judgment on every conversation in scope as a field,[12] and runs deep dives for questions no existing field answers yet.[3]

Many prospects already have Medallia. In Rippit's review of 2,345 of its own sales conversations from 2025–2026, about 1 in 17 prospects brought up Medallia, and about half of those were current Medallia users.[4]

Using both fixes two common gaps:

• Survey and ticket data live in different tools. Rippit puts the score and the conversation in one view.[9]
• Most customers never respond to a survey. At Checkr, surveys covered fewer than 10% of interactions. Rippit's predictive CSAT now covers all of them.[10]

How is Rippit's analysis different from Medallia text analytics?

Medallia text analytics starts from hundreds of prebuilt models designed for your industry and use cases, and teams can create and refine their own models in a low- to no-code environment.[11] It tracks themes, sentiment, effort and empathy, and uses natural language understanding to uncover intent.[11]

Rippit doesn't start from prebuilt models. One pass tags each conversation across 10+ dimensions, including intent, root cause, sentiment, urgency, churn signal and resolution. When your business changes, a new category applies to past conversations in a single run.[12]

This speed pays off with unplanned questions. When Checkr's CEO asked a late-night question about background check issues in a specific state, the team delivered a detailed report by the next morning.[10]