With this update, you can now set up recurring email surveys that send themselves on a schedule you choose — every 3, 6, 12 months or custom frequency — without having to trigger anything manually. This makes it easy to run continuous customer feedback programs like quarterly NPS, biannual CSAT, or annual relationship surveys with zero ongoing effort.

Key Features

🔁 Set a Recurring Schedule, Once

Pick how often you want each customer to be surveyed — every 3, 6, or 12 months, or a custom interval — and Auto Pilot handles the rest. Every cycle, the next survey goes out automatically. No need to remember when each round is due or rebuild your contact list every quarter.

📊 Smart Distribution Across the Cycle

Auto Pilot doesn't send to everyone on Day 1. Sends are spread evenly across your chosen cycle — every day, every week — so your feedback comes in as a steady stream instead of a single burst followed by silence. Your team gets responses to act on throughout the quarter, your email deliverability stays clean, and the signal you're tracking reflects the whole period, not just the first 48 hours.

🔔 Built-In Reminders That Stop on Reply

Add up to 2 follow-up reminders per cycle, set the gap between them (1 to 7 days), and write the subject and message yourself. Auto Pilot will only send reminders to contacts who haven't replied yet. The moment a contact responds, any pending reminders for them cancel automatically — no awkward nudges after they've already given feedback.

Why This Matters

Running a recurring feedback program by hand is a chore — remembering each round, rebuilding the contact list, chasing non-responders one by one. Auto Pilot lets you stop thinking about scheduling and focus on the feedback itself.

With Auto Pilot, teams can:

• Run quarterly NPS, biannual CSAT, or annual relationship surveys without manual scheduling
• Maintain a steady stream of feedback across the quarter instead of Day-1 spikes
• Boost response rates with automatic reminders that respect the customer
• Add or remove contacts anytime via manual entry, CSV upload, or contact segments — without breaking the schedule

Plan Availability

Available on on Growth and Enterprise Plans

Two-Way SMS is here. Now you can run an entire survey over text, with no link and no landing page.

Sending a survey link by text works, but every extra tap costs you responses. Two-Way SMS skips the link, so the whole survey happens right inside the thread. SMS gets opened within minutes and keeps people from dropping off at a separate page, which usually means higher response rates than a link-based survey.

Your contact gets the question, replies with their answer, and it continues over SMS until they're done. You can shorten the wording for text, personalize with placeholders (like "Hi John, how was your experience?"), and add a custom exit message.

A few things to know:

• Full question-and-answer flow stays inside SMS
• Shortened wording, with the original question preserved in feedback
• Placeholder personalization, custom exit message, and a retry for out-of-range replies
• Multi-language template support
• Billing is per message, both incoming and outgoing (costs vary by country; a few aren't supported)

P.S. Since the whole exchange runs on SMS, every extra tap also means an extra SMS. Each message in and out is billable, so a shorter survey protects both your response rate and your costs.

👉 Available on Professional, Growth & Enterprise plans.

Currently, you can connect Zendesk, Freshdesk, or Intercom and your users sync into Zonka, so feedback gets rated and tied to the right person. Salesforce now works the same way.

We've added automatic, real-time syncing of Salesforce users into Zonka as agents. When your Salesforce team changes, those users show up in Zonka Feedback on their own. No manual import.

This one matters most for case-closure feedback. When you survey after a Salesforce case is resolved, the response ties back to the exact user who handled it, so your user and team reporting stays accurate.

👉 Available on all plans with Salesforce Integration.

Survey throttling already keeps you from over-surveying the same contact. The catch was that it only allowed a fixed set of day intervals.

Now you set the number yourself. One day, two days, whatever cadence suits your program. Throttling runs globally across your account, and when a survey fires through an integration like Zendesk or Salesforce, you can choose to bypass it.

So the gap between surveys is yours to decide, not ours.

👉 Available on all Growth & Enterprise plans.

HubSpot users, your integration just got deeper.

Until now, survey responses synced only to the Contact object in HubSpot. With this update, you can map and sync responses to Companies and Deals as well — opening up a whole new layer of account-level and pipeline-level feedback context.

What's New?

🏢 Sync to Companies

Push NPS, CSAT, and CES scores as Company properties, and log the full response on the Company timeline. Map any survey attribute, response field, or hidden variable to a HubSpot Company property.

💼 Sync to Deals

The same now works at the Deal level. Feedback signals attach directly to open opportunities, with the full response logged on the Deal timeline.

⚙️ Pick the Sync Action That Fits Your Workflow

• Create new — add a fresh record for every response
• Update existing — modify the matched record only
• Create or update — create if no match, otherwise update
• Log activity to timeline — record the response as a timeline event

Why This Matters

Customer feedback rarely belongs to a single person — it belongs to an account and to a deal. This update closes that gap:

• Account-based teams can finally see consolidated feedback at the Company level
• Customer success teams can monitor account health inside HubSpot without external dashboards
• Revenue teams can tie feedback signals to open deals — not just individual contacts

Plan Availability

Available on Professional, Growth, and Enterprise plans.

We’re excited to introduce a powerful enhancement to Zonka AI Feedback Intelligence  — Manual Theme & Subtheme Configuration.

Until now, when creating a project for AI thematic analysis, the system automatically generated themes and subthemes using AI based on the responses provided. While this automated approach worked well for discovering patterns, many teams wanted greater control over how feedback is categorized.

With this new update, you can now define your own themes and subthemes before running the AI process, giving you the flexibility to analyze feedback exactly the way your team needs.

What’s New?

🧠 Manual Theme & Subtheme Setup

You can now provide a predefined list of themes and subthemes with definitions while creating your thematic analysis project. These themes act as the framework for the AI model to classify responses.

Instead of generating themes automatically, the AI will now analyze and match responses against the themes and subthemes you define.

🔍 AI-Powered Matching with Your Framework

Once the themes and subthemes are configured, you can run the AI processing step, where the AI reviews survey responses and intelligently maps them to the most relevant themes and subthemes.

Why This Matters

While automatic AI theme generation is great for discovery, many organizations already have structured frameworks for analyzing feedback, such as product areas, service categories, or operational themes.

With Manual AI Thematic Analysis, you can:

• Maintain consistent categorization across projects
• Align analysis with existing business frameworks
• Improve the accuracy and relevance of insights
• Gain faster AI-driven tagging without losing control

Key Use Cases

📊 Product Feedback Analysis
Define themes like UI, Performance, Pricing, Feature Requests, and let AI classify feedback accordingly.

💬 Customer Support Insights
Create subthemes such as Response Time, Agent Behavior, Resolution Quality, and quickly analyze large volumes of responses.

🏢 Voice of Customer (VoC) Programs
Maintain standardized themes across departments for consistent reporting and trend analysis.

📈 Enterprise Feedback Analytics
Use predefined taxonomies to analyze feedback across multiple surveys and customer touchpoints.

Who Is This For?

This feature is especially valuable for:

• Customer Experience (CX) Teams analyzing open-ended feedback
• Product Teams organizing feature feedback and improvement areas
• Research & Insights Teams conducting qualitative analysis
• Enterprise organizations that require structured feedback frameworks

Start Analyzing Feedback with Greater Control 🚀

We’re happy to roll out support for Trustpilot as a Data Source in AI Feedback Intelligence. You can now sync Trustpilot reviews into Zonka Feedback and let our AI do the heavy lifting — uncovering patterns, themes, and sub-themes from your public customer feedback

What’s New?

With this new integration, you can:

• 🔌 Connect your Trustpilot account to Zonka Feedback
• 📥 Import reviews by volume or date
• 🤖 Use AI-powered Thematic Analysis to uncover sentiment trends, praise, and pain points
• 🗂️ Organize feedback into digestible Themes & Sub-Themes for better decision-making

Why It Matters

Your Trustpilot reviews are a goldmine of feedback — but manually analyzing hundreds (or thousands) of them is overwhelming. With AI Feedback Intelligence, you can:

• Detect what customers love or dislike about your product, service, or experience
• Spot trending concerns like delivery delays, poor support, or product quality
• Identify hidden opportunities from unsolicited praise or suggestions
• Save time while gaining deeper, structured insights

Who Is It For?

• Customer Experience & Support Teams: Monitor and address recurring complaints
• Marketing Teams: Track brand sentiment and highlight customer love in campaigns
• Product Teams: Use unsolicited feature feedback to guide roadmaps
• Leadership: Understand customer trust at scale to inform strategy

We’re excited to announce a powerful new way to unlock the voice of your mobile app users — Play Store and App Store Integration with AI Feedback Intelligence is now live in Zonka Feedback!

You can now plug in your public app reviews from Google Play and Apple App Store directly into Zonka Feedback, where our AI engine automatically analyzes, categorizes, and uncovers themes and sub-themes — helping you make faster, smarter decisions based on real user sentiment.

🧠 What’s New?

With this integration, you can:

• 📥 Automatically sync reviews from Google Play and Apple App Store
• 🤖 Run AI-powered Feedback Intelligence on user feedback
• 🧭 Discover Themes & Sub-Themes around performance, features, bugs, UI, and more

Why It Matters

Mobile app reviews are loaded with raw user feedback — but they’re often unstructured, scattered, and hard to interpret at scale. With this new integration:

• You can identify key issues like crashes, bugs, or confusing UX
• Spot trending feature requests or praise across app updates
• Understand what’s driving your app ratings up or down
• Avoid sifting through thousands of reviews — let AI do the heavy lifting

Who Should Use This?

• Product Teams: Prioritize improvements and feature development based on real user input
• Mobile App Developers: Quickly detect issues and performance-related concerns
• CX & QA Teams: Understand common pain points post-launch
• Marketing Teams: Monitor app sentiment before or after campaigns/releases

You can now connect your Intercom chat and message data to Zonka Feedback’s AI Feedback Intelligence to uncover key Themes and Sub-Themes from your customer conversations.

This integration makes it easier to analyze large volumes of support and chat data using AI — helping you identify common issues, trends, and opportunities without manual effort.

What’s New?

With this new data source integration, you can:

• 🔌 Sync Intercom conversations into Zonka Feedback
• ⚡ Run AI-powered Thematic Analysis on messages, support chats, and replies
• 🔍 Instantly identify patterns, issues, and feedback trends
• 🔄 Automatically sync new data from closed conversations in real time

Why You’ll Love It

Intercom is where your customer voice lives. Now, with Zonka Feedback's AI Feedback Intelligence:

• Spot recurring support issues without reading every conversation
• Cluster feedback into actionable categories and sub-categories
• Eliminate blind spots and empower every team — from support to product
• Prioritize improvements backed by real chat data

Who’s It For?

• CX & Support Teams: Surface the top issues impacting customer satisfaction
• Product Managers: Get direct insight into bugs, requests, and friction points
• Marketing & Ops: Understand sentiment, blockers, and pre-conversion drop-offs
• Leaders: Drive decisions with unfiltered, real-time customer voice