Build dynamic user segments in Countly using AI
Swiftask leverages your Countly data to identify and segment users in real-time. Tailor your campaigns to every specific behavior.
Result:
Boost your marketing precision and increase conversion rates with segmentation based on real-time data.
AI Agents
countly
Connector countly · Secure OAuth 2.0
Manual segmentation holds back product growth
Most product teams struggle to turn Countly data into actionable segments. Criteria remain static, queries are complex, and personalization is too slow to follow real user behavior.
Main negative impacts:
Inherently outdated segments
Data changes, but your segments stay frozen. You target users based on actions from weeks ago.
Prohibitive technical complexity
Creating complex segments requires SQL skills or constant data team support, slowing down execution.
Generic personalization
Without fine-grained dynamic segmentation, your messages are impersonal, drastically reducing engagement and loyalty.
Swiftask automates the creation of your Countly segments. The AI continuously analyzes event streams to update your segments, ensuring instant marketing relevance.
BEFORE / AFTER
What changes with Swiftask
Classic analytics approach
A product team manually analyzes Countly reports. They identify a segment need, create a complex query, and export it. The segment is stale the moment it's used.
Swiftask + Countly intelligence
Swiftask listens to Countly events in real-time. As soon as a user changes behavior, the AI automatically moves them into the corresponding segment, ready for your marketing tools.
Setting up your segmentation in 4 steps
1
STEP 1 : Connect your Countly instance
Pair Swiftask with your Countly project via a secure API key. The agent accesses event streams without compromising raw data.
2
STEP 2 : Define your segmentation rules
Express in natural language the behaviors to monitor, like 'users who abandoned their cart twice this week'.
3
STEP 3 : Activate the AI engine
Swiftask analyzes the Countly stream and identifies users matching the criteria continuously.
4
STEP 4 : Sync your segments
Updated segments are automatically pushed to your CRM or marketing automation tools.
AI capabilities for your Countly segments
The AI examines usage frequency, navigation paths, conversions, and custom events reported by Countly.
- Target connector: The agent performs the right actions in countly based on event context.
- Automated actions: Automatic identification of user clusters. Real-time segment updates. Triggers based on segment changes. Correlation between behaviors and business outcomes.
- Native governance: Swiftask ensures every segment is auditable and based on reliable analytics data from Countly.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-countly@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
Strategic advantages for your products
Behavioral agility
Your segments reflect actual user activity at any given moment.
Increased data productivity
Free up your data engineers: segment creation becomes a no-code business task.
Optimized retention rates
Intervene precisely when user behavior changes.
Scalability guaranteed
Manage thousands of different segments without overloading internal processes.
Total marketing alignment
Your marketing team always has up-to-date targeted lists for their campaigns.
Analytics data privacy
Swiftask applies enterprise-grade security standards for your countly automations.
- Access isolation: Swiftask only interacts with the necessary Countly endpoints.
- Compliant processing: The AI processes data in compliance with GDPR and privacy standards.
- Rule traceability: Every segmentation rule is documented and editable in your Swiftask console.
- Integration stability: The architecture is designed to handle high event volumes without latency.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Measurable impact on your data stack
| Metric | Before | After |
|---|---|---|
| Segment freshness | 24h to 7d lag | Real-time |
| Technical team load | Several days/months | Setup in minutes |
| Targeting precision | Based on snapshots | Based on continuous streams |
| Time to market | Slow (IT process) | Instant (autonomy) |
Take action with countly
Boost your marketing precision and increase conversion rates with segmentation based on real-time data.