# Delighted integrations

> Connect Delighted NPS and CSAT survey data to your CRM, support tools, and data warehouse so the feedback loop closes itself.

**Canonical page:** https://tray.ai/connectors/delighted-integrations/
**Categories:** Databases, General automation services
**Documentation:** https://tray.ai/documentation/connectors/service/delighted

## Overview

Delighted makes it easy to collect NPS, CSAT, CES, and 5-star survey responses at scale, but collecting feedback isn't the hard part. Acting on it is. Integrating Delighted with tray.ai lets you route survey responses to Salesforce, Slack, Zendesk, and more the moment they arrive, so no detractor score sits ignored in a dashboard until next week's review. Whether you're triggering follow-up tasks from low scores or pushing response trends into your BI dashboards, tray.ai gives you the automation backbone to turn feedback into action.

## Use cases

### Detractor Alert and Escalation Routing

When a customer submits a low NPS or CSAT score in Delighted, tray.ai can immediately notify the right account manager or support team via Slack or email, create a follow-up task in Salesforce or HubSpot, and log the response against the customer record. High-risk churn signals never get buried in a weekly report.

- Respond to detractors within hours instead of days
- Automatically assign follow-up ownership to the correct account team
- Keep CRM customer health scores current with live sentiment data

### Promoter Advocacy and Referral Automation

Customers who score 9 or 10 on your NPS survey are your strongest potential advocates, but most teams never follow up strategically. With tray.ai, high scores in Delighted can automatically trigger an outreach sequence in your email platform, invite customers to review sites like G2 or Capterra, or enroll them in a referral program via your marketing automation tool.

- Reach out while positive sentiment is still fresh
- Grow review site presence without manual outreach
- Feed qualified advocates directly into referral or case study pipelines

### Support Ticket Creation from Negative Feedback

Low satisfaction scores submitted through Delighted can be automatically converted into support tickets in Zendesk, Freshdesk, or Intercom, pre-populated with the customer name, account details, and verbatim feedback. No manual ticket creation, no dissatisfied customer falling through the cracks.

- Skip manual ticket creation for every negative survey response
- Preserve full feedback context inside your support platform
- Measure resolution rates against original satisfaction scores over time

### Syncing Delighted Responses to a Data Warehouse

Teams using Snowflake, BigQuery, or Redshift for customer analytics need Delighted survey data flowing in continuously rather than trickling in through manual CSV exports. tray.ai can poll Delighted's API on a schedule and push structured response data — scores, comments, properties, and timestamps — into your data warehouse for longitudinal analysis and BI reporting.

- Eliminate manual CSV exports and data lag in your analytics pipeline
- Join NPS and CSAT scores with product usage, revenue, and support data
- Let data science teams model churn risk using real sentiment signals

### Triggering Surveys Based on CRM or Product Events

Instead of batch-sending surveys on a fixed schedule, tray.ai lets you fire Delighted survey invitations the moment a meaningful event occurs — a closed deal in Salesforce, a completed onboarding milestone, or a resolved support ticket in Zendesk. Surveys delivered in context get better response rates.

- Increase survey response rates with contextually timed delivery
- Survey customers at the moments that actually matter in their journey
- Coordinate survey frequency across systems to prevent over-surveying

### Customer Health Score Updates in CRM

Product and success teams often maintain customer health scores in Salesforce, HubSpot, or Gainsight that need continuous updates from multiple signals. tray.ai can listen for new Delighted responses and automatically update the NPS field, health score component, or custom object in your CRM so account teams always have current sentiment data without manual reconciliation.

- Keep CRM health scores accurate without manual data entry
- Give customer success managers a real-time view of account sentiment
- Trigger playbooks in Gainsight or Totango based on fresh NPS data

### Aggregating Feedback Trends into Slack or Team Dashboards

Leadership and customer success teams often want a daily or weekly digest of survey performance without logging into Delighted directly. tray.ai can aggregate response counts, average scores, and notable verbatim comments on a schedule and post formatted summaries to dedicated Slack channels or populate shared dashboards in tools like Notion or Google Sheets.

- Keep the entire team informed on customer sentiment without extra logins
- Surface trending feedback themes to product and leadership automatically
- Build a living feedback record in collaborative tools like Sheets or Notion

## Templates

### Delighted Detractor to Zendesk Ticket

Automatically creates a Zendesk support ticket whenever a Delighted response comes in below a defined threshold, pre-filling ticket fields with customer details and verbatim feedback.

Connectors used: Delighted, Zendesk, Slack

### Delighted Promoter to G2 Review Request

When a customer scores 9 or 10 in a Delighted NPS survey, this template sends a personalized review invitation email and logs the outreach in HubSpot to prevent duplicate requests.

Connectors used: Delighted, HubSpot, SendGrid

### Delighted Response Sync to Snowflake

Continuously syncs all new Delighted survey responses into a Snowflake table on a scheduled basis, so BI teams can join NPS and CSAT data with product and revenue datasets.

Connectors used: Delighted, Snowflake

### Post-Ticket-Resolution CSAT Survey Trigger

Sends a Delighted CSAT survey invitation automatically when a support ticket is marked resolved in Zendesk, so feedback is collected while the experience is still fresh.

Connectors used: Zendesk, Delighted, Salesforce

### Weekly NPS Digest to Slack

Compiles a weekly summary of Delighted NPS responses, including average score, response volume, and top verbatim comments, and posts it to a designated Slack channel every Monday morning.

Connectors used: Delighted, Slack, Google Sheets

### Salesforce Opportunity Close to NPS Survey

Automatically enrolls newly closed-won customers in a Delighted NPS survey sequence 30 days after deal close, with properties passed from Salesforce to personalize the survey.

Connectors used: Salesforce, Delighted

## Challenges Tray.ai solves

### No Native Two-Way CRM Sync Out of the Box

Delighted has some native integrations, but they're largely one-directional and lack the conditional logic needed to map scores to CRM health fields, segment by account tier, or update only specific record types. Teams end up maintaining manual export and import routines that introduce lag and errors into their customer data.

**How Tray.ai helps:** tray.ai connects Delighted's API directly to Salesforce, HubSpot, or Gainsight with full conditional branching, field mapping, and upsert logic, so scores and comments land in exactly the right CRM fields without overwriting existing data or requiring manual intervention.

### Feedback Sits Unread Until Someone Checks the Dashboard

Survey responses collected in Delighted often go unreviewed until a customer success manager checks the dashboard or a weekly report lands in their inbox. By that point, a detractor may have already churned or an escalation window has closed, and the feedback program loses most of its value.

**How Tray.ai helps:** tray.ai uses Delighted webhooks or frequent API polling to process responses the moment they arrive, enabling real-time routing to Slack, automatic ticket creation, and immediate CRM updates so teams can act while customer sentiment is still recoverable.

### Over-Surveying Customers Across Multiple Tools

When different teams use Delighted, Salesforce campaigns, Intercom messages, and email tools independently, customers can receive multiple survey requests in the same month. Survey fatigue sets in, response rates drop, and relationships take a hit. There's no built-in cross-system frequency cap.

**How Tray.ai helps:** tray.ai workflows can check survey send history across systems before triggering any new Delighted invitation, enforcing configurable suppression windows by querying CRM contact properties, Delighted person records, or a shared suppression list, so over-surveying gets stopped at the orchestration layer.

### Manual Data Pipeline to Analytics Tools

Data and analytics teams that want Delighted NPS and CSAT scores in their customer health models typically have to download CSVs manually or rely on infrequent scheduled exports. The result is stale data in dashboards and BI tools, which makes real-time churn risk modeling impossible.

**How Tray.ai helps:** tray.ai automates continuous incremental syncs from Delighted to Snowflake, BigQuery, or Redshift using watermark-based pagination against the Delighted API, eliminating manual exports and keeping analytics pipelines fresh without engineering overhead.

### Limited Customization of Survey Trigger Logic

Delighted's built-in survey scheduling relies on time-based frequency rules rather than behavioral or lifecycle events. Teams that want to trigger surveys after specific product actions, support interactions, or business milestones can't get there within Delighted alone and end up with disconnected point-to-point hacks.

**How Tray.ai helps:** tray.ai acts as the orchestration layer that listens to events across Zendesk, Salesforce, product databases, and other tools and triggers Delighted survey sends via API only when the exact conditions are met, giving teams precise control over survey timing without custom engineering work.

## Agent features

### Fetch Survey Responses (Data Source)

Pull NPS, CSAT, or CES survey responses from Delighted so an agent has full visibility into customer sentiment. Good for surfacing recent feedback trends or triggering follow-up actions based on scores.

### Look Up Individual Survey Results (Data Source)

Query a specific respondent's survey history and score from Delighted to understand how their satisfaction has changed over time. Helps agents personalize outreach or escalate issues for unhappy customers.

### Retrieve Survey Metrics and Trends (Data Source)

Pull aggregated NPS or CSAT scores and trend data from Delighted to give an agent a high-level read on customer satisfaction. Useful for reporting workflows or alerting when scores fall below a defined threshold.

### List Survey People (Data Source)

Retrieve the list of people enrolled in Delighted surveys, including their properties and survey status. Useful for syncing customer records with CRMs or segmenting audiences for targeted follow-up.

### Monitor Unsubscribes (Data Source)

Fetch the list of contacts who've opted out of surveys in Delighted so you stay compliant and don't re-contact them. Helps agents keep downstream systems like email platforms in sync with opt-out preferences.

### Send Survey to a Contact (Agent Tool)

Trigger a survey send to a specific person in Delighted directly from an agent workflow — after a support ticket closes or a purchase completes, for example. No manual intervention needed.

### Add or Update a Person (Agent Tool)

Create or update a contact record in Delighted with properties like name, email, or custom attributes. Keeps survey recipients accurate and enriched for segmentation and personalization.

### Add Unsubscribe Record (Agent Tool)

Programmatically add a contact to the Delighted unsubscribe list when an opt-out is detected in another system. Keeps survey preferences consistent across all platforms the agent manages.

### Create Autopilot Enrollment (Agent Tool)

Enroll a contact into a Delighted Autopilot recurring survey campaign based on lifecycle events the agent detects. Good for collecting ongoing feedback without having to set up individual sends each time.

### Trigger Alerts for Detractor Responses (Agent Tool)

Automatically detect low NPS or CSAT scores from incoming survey responses and trigger alerts or escalations in connected tools like Slack or a CRM. At-risk customers get timely follow-up without anyone having to watch a dashboard.

## Learn more

- Intelligent Integration: https://tray.ai/platform/intelligent-ipaas/
- Merlin Agent Builder: https://tray.ai/platform/merlin-agent-builder/
- Agent Gateway for MCP: https://tray.ai/platform/agent-gateway/
- Book a demo: https://tray.ai/contact/