CS tools shouldn't alert you. They should act
One system for sales, onboarding, CS, and expansion. CS runs on leading signals like sentiment shifts, stakeholder changes, and expansion openings, surfaced while there's still time to act.
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AI that actually understands B2B
software retention
Every CS platform now claims to predict churn. Most run a manually weighted scorecard with a generic LLM that doesn't really understand B2B software retention challenges.
Dreamhub's AI is tuned only for B2B software and trained on what actually drives retention.
Deep insights protect renewals and
drive expansion
A CS platform that does the work, not just the alerts
Other tools tell you an account is at risk. Dreamhub tells you the account is at risk and then drafts the outreach, fires the save play, and updates the record automatically.
Cut 90% of manual CSM work
Imagine every CSM carrying 50% more accounts. Calls, emails, and meetings are analyzed automatically so Dreamhub updates health scores, keeps the stakeholder map current, captures success criteria, and drafts outreach.
Insights become outcomes, automatically
Dreamhub doesn't stop at insights, it executes. Detected churn risks fire save plays, expansion signals trigger outreach, QBRs auto-assemble from real data. Insights become outcomes automatically, so CSMs don't have to.
Renewal calls Dreamhub helps you win
For every renewal, Dreamhub builds the play: the talking points, the objections to expect, the expansion angle, the reference accounts. The CSM walks in coached, not winging it.
Migration that isn't a nightmare.
Go live in a few days.
The CRM that changes everything for B2B software
Dreamhub is the only AI-native CS platform built specifically for B2B software, unified across the full customer lifecycle. There are three structural differences.
First, AI specialization: Gainsight, Totango, and ChurnZero added generic CS AI to a horizontal CS platform. Dreamhub's AI is tuned only for B2B software, trained on what actually drives retention, expansion, and renewals.
Second, lifecycle coverage: legacy CS platforms are CS-only and integrate with the CRM via APIs. Dreamhub covers sales, onboarding, CS, and expansion on one data model, so the Sales-to-CS handoff happens as a data transfer instead of a meeting.
Third, intelligence + execution: legacy tools recommend action; the CSM still configures and executes manually. Dreamhub combines the system of intelligence and the system of record in one platform, so detected risks trigger save plays, draft outreach, and update records automatically.
First, AI specialization: Gainsight, Totango, and ChurnZero added generic CS AI to a horizontal CS platform. Dreamhub's AI is tuned only for B2B software, trained on what actually drives retention, expansion, and renewals.
Second, lifecycle coverage: legacy CS platforms are CS-only and integrate with the CRM via APIs. Dreamhub covers sales, onboarding, CS, and expansion on one data model, so the Sales-to-CS handoff happens as a data transfer instead of a meeting.
Third, intelligence + execution: legacy tools recommend action; the CSM still configures and executes manually. Dreamhub combines the system of intelligence and the system of record in one platform, so detected risks trigger save plays, draft outreach, and update records automatically.
Yes. Dreamhub is designed to go live in days, not months. We can move you over even with custom health scores, playbooks, and segmentation.
During your 30-day free trial, Dreamhub's AI agents keep your existing CS platform (Gainsight, Totango, ChurnZero) in sync automatically. Every update flows both ways, so nothing breaks, no renewal motion is frozen, and your team doesn't lose a day of productivity.
During your 30-day free trial, Dreamhub's AI agents keep your existing CS platform (Gainsight, Totango, ChurnZero) in sync automatically. Every update flows both ways, so nothing breaks, no renewal motion is frozen, and your team doesn't lose a day of productivity.
Three core differences. First, architecture: legacy CS platforms layered LLM features onto horizontal CS tools. Dreamhub is AI-native, built specifically for B2B software, so its AI is trained on a consistent language for how B2B software retention actually works.
Second, specialization: legacy CS AI is general-purpose. Dreamhub's models are trained specifically on B2B software retention and expansion patterns, so they understand your renewal motion, your buyers, and your revenue model.
Third, execution: legacy tools recommend action; the CSM still configures and executes manually. Dreamhub's AI translates insights directly into executed work, so churn predictions, expansion signals, and renewal forecasts become outcomes, not just alerts.
Second, specialization: legacy CS AI is general-purpose. Dreamhub's models are trained specifically on B2B software retention and expansion patterns, so they understand your renewal motion, your buyers, and your revenue model.
Third, execution: legacy tools recommend action; the CSM still configures and executes manually. Dreamhub's AI translates insights directly into executed work, so churn predictions, expansion signals, and renewal forecasts become outcomes, not just alerts.
Each of those tools does one piece well: Gong for calls, Zendesk for tickets, Pendo for product usage. None is a unified CS platform, and none can reason across the three together.
Dreamhub ingests signals from all of them and combines them with the commercial relationship (deal history, stakeholder map, success criteria, renewal motion) in one ontology. That's how it can tell you "this account's champion has gone quiet on three calls, their executive sponsor just left, and power-user logins dropped 40%. Here's the save play" in a single view. Point tools cannot do that because each only sees its slice.
Dreamhub ingests signals from all of them and combines them with the commercial relationship (deal history, stakeholder map, success criteria, renewal motion) in one ontology. That's how it can tell you "this account's champion has gone quiet on three calls, their executive sponsor just left, and power-user logins dropped 40%. Here's the save play" in a single view. Point tools cannot do that because each only sees its slice.
The handoff stops being a handoff. It's just data that's already there.
Because Dreamhub covers both sales and CS on the same data model, the MEDDPICC and SPICED qualification fields, the stakeholder map, the success criteria the customer signed up for, and every call the AE had are all in the account record the CSM picks up on day one. No kickoff meeting to reconstruct context. No "the AE didn't tell us who the economic buyer is" conversation. No recurring friction between Sales and CS leadership. This is one of the most common reasons VPs of CS switch to Dreamhub.
Because Dreamhub covers both sales and CS on the same data model, the MEDDPICC and SPICED qualification fields, the stakeholder map, the success criteria the customer signed up for, and every call the AE had are all in the account record the CSM picks up on day one. No kickoff meeting to reconstruct context. No "the AE didn't tell us who the economic buyer is" conversation. No recurring friction between Sales and CS leadership. This is one of the most common reasons VPs of CS switch to Dreamhub.
Yes. Dreamhub's renewal forecast is a predictive model that learns from your team's actual renewal behaviors and benchmarks against similar B2B software companies. It's not a roll-up of CSM-entered likelihoods that the CFO has learned to discount.
Every number is auditable. You can see the inputs behind each renewal prediction, which signals drove the confidence level, and how the model has performed historically against actuals. You walk into the CFO conversation with a number you can defend, and a clear view of which accounts would move the total.
Every number is auditable. You can see the inputs behind each renewal prediction, which signals drove the confidence level, and how the model has performed historically against actuals. You walk into the CFO conversation with a number you can defend, and a clear view of which accounts would move the total.
Dreamhub benchmarks your retention KPIs (NRR, GRR, time-to-value, onboarding completion, CSM productivity) against similar B2B software companies. You walk into the board meeting with peer-anchored numbers, not just internal trends.
Every benchmark is auditable, so you can defend the comparison and show where you're closing the gap.
Every benchmark is auditable, so you can defend the comparison and show where you're closing the gap.
Yes. Dreamhub uses both supervised and unsupervised models. The unsupervised models don't need your history. They generate insights immediately based on cross-customer B2B software retention patterns.
The supervised models learn from your book as you use the platform, plus data imported from your legacy CS tool. Account-level signals start producing useful output within the first few weeks. Renewal-level predictions sharpen over a couple of quarters as actual renewal outcomes feed back. Either way, you're not waiting on data before you get value.
The supervised models learn from your book as you use the platform, plus data imported from your legacy CS tool. Account-level signals start producing useful output within the first few weeks. Renewal-level predictions sharpen over a couple of quarters as actual renewal outcomes feed back. Either way, you're not waiting on data before you get value.
Yes. Dreamhub is designed specifically for B2B software. Its data model is built around subscription, usage-based, and participation-based revenue models, the structures most common in modern software businesses. Organizations outside B2B software with more general CS needs will typically find a horizontal CS platform a better fit.