Gong.io + Gainsight

Connect Gong.io and Gainsight to Turn Conversation Intelligence into Customer Success Action

Automatically sync revenue intelligence from Gong.io into Gainsight to drive proactive customer success, reduce churn, and accelerate expansion.

Why integrate Gong.io and Gainsight?

Gong.io captures what your customers actually say — through AI-powered analysis of calls, emails, and meetings. Gainsight runs your customer success motion, from health scoring to lifecycle management. On their own, each does its job. Together, what customers say in conversations becomes structured signal your CS team can act on directly. Integrating Gong.io with Gainsight closes the gap between revenue intelligence and CS operations so at-risk signals and expansion opportunities don't get lost between tools.

Automate & integrate Gong.io & Gainsight

Use case

Automatic Health Score Updates from Call Sentiment

When Gong.io analyzes a customer call and detects negative sentiment, competitor mentions, or dissatisfaction signals, that data is automatically pushed to Gainsight to adjust the customer's health score in real time. CSMs no longer need to manually review every call recording and update scores — health scores reflect the most current conversational reality. Leadership gets an accurate, up-to-date view of customer risk across the entire portfolio.

Use case

Churn Risk CTA Creation from Gong.io Alerts

When Gong.io's AI detects churn-risk language — cancellation mentions, budget cuts, competitor evaluations — a Gainsight CTA is automatically created and assigned to the responsible CSM. The CTA includes the relevant call snippet, detected keywords, and a suggested playbook for immediate follow-up. The lag between spotting a risk signal and taking structured action goes away.

Use case

Meeting Summaries Logged to Gainsight Customer Timelines

After every customer call recorded in Gong.io, an AI-generated summary and key action items are automatically posted to the corresponding account's Gainsight timeline. The customer timeline stays current without CSMs manually copying notes between systems. Anyone reviewing an account can immediately see a full call history with context, outcomes, and next steps.

Use case

Expansion Opportunity Signals Triggering Gainsight Playbooks

Gong.io can identify upsell and cross-sell signals when customers ask about additional features, new use cases, or expanded team adoption. Those signals are routed to Gainsight to trigger expansion playbooks and update the account's opportunity stage. Sales and CS teams stay aligned on which accounts are showing genuine purchase intent based on real conversations.

Use case

QBR and Executive Review Preparation from Aggregated Call Data

Before quarterly business reviews, Gong.io data — call frequency, talk ratios, topic trends, sentiment over time — is aggregated and pushed into Gainsight's reporting layer to enrich QBR preparation. CSMs and account executives walk into every QBR with a clear picture of how the customer relationship has evolved through actual conversations, not assumptions.

Use case

Onboarding Call Milestone Tracking in Gainsight

During customer onboarding, Gong.io tracks which topics have been covered — product walkthroughs, success criteria, integration setup, training sessions — and automatically updates Gainsight onboarding milestones as calls happen. CS teams see onboarding progress in real time without chasing call notes, and customers get timely follow-ups based on what was or wasn't covered yet.

Use case

Voice-of-Customer Insights Feeding Gainsight Surveys and NPS Workflows

Themes extracted from Gong.io conversations — product feedback, feature requests, recurring pain points — are automatically mapped to Gainsight's voice-of-customer programs and used to inform NPS follow-up workflows. When a customer keeps mentioning the same frustration on calls, that signal can trigger a targeted survey or feedback loop in Gainsight. What customers say verbally stops falling through the cracks.

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Gong.io & Gainsight Challenges

What challenges are there when working with Gong.io & Gainsight and how will using Tray.ai help?

Challenge

Inconsistent Account Matching Between Platforms

Gong.io and Gainsight often use different identifiers for the same customer — one may reference a Salesforce Account ID while the other uses a company domain or internal customer ID. Without a reliable matching layer, conversation data gets logged against the wrong account or dropped entirely, corrupting health scores and timelines.

How Tray.ai Can Help:

Tray.ai's flexible data transformation logic lets teams build custom account resolution steps that cross-reference Salesforce IDs, company domains, and email domains to reliably match Gong.io call participants to the correct Gainsight company record before any data is written.

Challenge

High Call Volume Creating Noise in Gainsight

Enterprise CS teams can handle hundreds of calls per week, and logging every single call summary to Gainsight timelines without filtering logic floods the system with low-value entries. That makes it harder for CSMs to focus on the interactions that actually need attention.

How Tray.ai Can Help:

Tray.ai supports conditional filtering so only calls meeting specific criteria — minimum duration, key stakeholder attendance, or sentiment scores outside normal thresholds — get logged to Gainsight, keeping timelines clean and useful.

Challenge

Delayed Reaction to Churn Signals Across Tools

Without real-time integration, there can be a significant lag between when Gong.io processes a call and when a CSM sees the churn signal in Gainsight. Manual workflows that depend on CSMs reviewing recordings and then updating Gainsight let at-risk accounts worsen while the team catches up.

How Tray.ai Can Help:

Tray.ai supports event-driven webhook triggers from Gong.io that fire as soon as call analysis is complete, enabling near-real-time CTA creation in Gainsight and immediate CSM notifications so risk signals get addressed within minutes, not days.

Challenge

Maintaining Sync During CRM and Platform Updates

When customer records change in Salesforce — account ownership transfers, company mergers, contact role updates — those changes may not automatically reach Gong.io or Gainsight at the same time, causing mismatches in how calls are attributed and how health scores are calculated.

How Tray.ai Can Help:

Tray.ai workflows can listen to CRM change events and propagate account ownership and contact updates across both Gong.io and Gainsight in a coordinated sequence, keeping all three systems aligned whenever organizational changes happen.

Challenge

Limited Native Customization for Health Score Inputs

Out-of-the-box integrations between conversation intelligence tools and customer success platforms typically support only basic data fields, making it difficult to incorporate nuanced Gong.io signals — topic-specific sentiment, competitor mention frequency, executive engagement rates — into Gainsight health score calculations.

How Tray.ai Can Help:

Tray.ai's low-code workflow builder lets teams design fully custom data transformation and scoring logic, pulling exactly the Gong.io signals that matter to their business and formatting them to match Gainsight's health score measure schema — no engineering resources required.

Start using our pre-built Gong.io & Gainsight templates today

Start from scratch or use one of our pre-built Gong.io & Gainsight templates to quickly solve your most common use cases.

Gong.io & Gainsight Templates

Find pre-built Gong.io & Gainsight solutions for common use cases

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Template

Gong.io Churn Signal to Gainsight CTA

Monitors Gong.io for calls where churn-risk keywords or negative sentiment scores are detected, then automatically creates a prioritized CTA in Gainsight with call context, the flagged transcript snippet, and a recommended playbook for the assigned CSM.

Steps:

  • Trigger: Gong.io webhook fires when a call is scored with negative sentiment or churn-risk keyword detection
  • Enrich: Pull full call summary, participant details, and flagged transcript snippets from Gong.io API
  • Match: Look up the corresponding Gainsight account and CSM owner using the customer domain or Salesforce ID
  • Create: Post a new high-priority CTA in Gainsight with call context, risk reason, and linked playbook
  • Notify: Send a Slack or email alert to the CSM with a direct link to the Gainsight CTA and Gong.io call recording

Connectors Used: Gong.io, Gainsight

Template

Gong.io Call Summary to Gainsight Timeline

After every completed customer call in Gong.io, automatically generates an AI call summary and logs it as a timeline activity in Gainsight, keeping the customer record current without any manual effort from the CSM.

Steps:

  • Trigger: Gong.io call is marked as completed and transcription is ready
  • Fetch: Retrieve AI-generated call summary, key topics, action items, and attendees from Gong.io
  • Resolve: Match the Gong.io account or contact to the correct Gainsight company record
  • Log: Create a new timeline entry in Gainsight with call summary, date, participants, and Gong.io recording link

Connectors Used: Gong.io, Gainsight

Template

Expansion Signal Detection to Gainsight Opportunity Playbook

Identifies calls in Gong.io where expansion or upsell language is detected and automatically triggers the appropriate expansion playbook in Gainsight, so no growth opportunity gets missed after a promising customer conversation.

Steps:

  • Trigger: Gong.io flags a call containing expansion or upsell intent keywords
  • Extract: Pull account name, contact details, specific upsell topics mentioned, and call recording URL
  • Evaluate: Check Gainsight for existing open expansion CTAs to avoid duplication
  • Launch: Create or update an expansion CTA in Gainsight and trigger the associated playbook steps
  • Sync: Update the Gainsight account's success plan with expansion context and set a follow-up task for the CSM

Connectors Used: Gong.io, Gainsight

Template

Weekly Gong.io Conversation Metrics to Gainsight Health Score

On a weekly cadence, aggregates Gong.io engagement metrics — call frequency, average sentiment, topic trends — for each customer account and feeds them into Gainsight as health score measures, giving the CS team a conversation-driven view of account health that actually updates.

Steps:

  • Schedule: Trigger runs every Monday morning for all active customer accounts
  • Aggregate: Pull weekly call volume, sentiment scores, talk-time ratios, and top topics per account from Gong.io
  • Calculate: Normalize metrics into a composite engagement score using configurable weighting logic
  • Update: Push health score measure updates to corresponding Gainsight company records
  • Alert: Flag any accounts where conversation metrics have dropped significantly for CSM review

Connectors Used: Gong.io, Gainsight

Template

Gong.io Onboarding Call Topics to Gainsight Milestone Completion

Tracks onboarding-phase calls in Gong.io and automatically marks corresponding Gainsight success plan milestones as complete when key onboarding topics are detected in call transcripts, giving CS teams real-time visibility into new customer onboarding progress.

Steps:

  • Trigger: A Gong.io call is completed for an account in the onboarding lifecycle stage
  • Analyze: Extract detected topics and keywords from the Gong.io call transcript
  • Map: Match detected topics to predefined onboarding milestone criteria in a configuration table
  • Update: Mark matched milestones as complete in the Gainsight success plan for the account
  • Escalate: If critical onboarding topics remain uncovered after a set timeframe, create a risk CTA in Gainsight

Connectors Used: Gong.io, Gainsight

Template

New Gainsight At-Risk Account Alert Triggering Gong.io Call Review

When Gainsight flags an account as at-risk based on health score drops, automatically surfaces the most recent Gong.io calls for that account to the CSM, so they can quickly diagnose what conversation signals may have contributed to the decline.

Steps:

  • Trigger: Gainsight health score drops below a defined threshold or an at-risk CTA is created
  • Fetch: Query Gong.io for the last 3–5 calls associated with the at-risk account
  • Summarize: Retrieve AI summaries, sentiment scores, and flagged topics for each recent call
  • Deliver: Send the CSM a digest of recent call intelligence with direct links to Gong.io recordings

Connectors Used: Gainsight, Gong.io