Tarification

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.

Resultat:

Boost your marketing precision and increase conversion rates with segmentation based on real-time data.

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.

Les principaux impacts négatifs :

Inherently outdated segments: Data changes, but your segments stay frozen.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.

AVANT / APRÈS

Ce qui change avec 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

ÉTAPE 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.

ÉTAPE 2 : Define your segmentation rules

Express in natural language the behaviors to monitor, like 'users who abandoned their cart twice this week'.

ÉTAPE 3 : Activate the AI engine

Swiftask analyzes the Countly stream and identifies users matching the criteria continuously.

ÉTAPE 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.

Connecteur cible : L'agent exécute les bonnes actions dans countly selon le contexte de l'événement.
Actions automatisées : Automatic identification of user clusters. Real-time segment updates. Triggers based on segment changes. Correlation between behaviors and business outcomes.
Gouvernance native : Swiftask ensures every segment is auditable and based on reliable analytics data from Countly.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-countly@swiftask.ai ). Vous gardez une visibilité complète sur chaque action et chaque message envoyé.

À retenir : L'agent automatise les décisions répétitives et laisse à vos équipes les actions à forte valeur.

Strategic advantages for your products

1. Behavioral agility

Your segments reflect actual user activity at any given moment.

2. Increased data productivity

Free up your data engineers: segment creation becomes a no-code business task.

3. Optimized retention rates

Intervene precisely when user behavior changes.

4. Scalability guaranteed

Manage thousands of different segments without overloading internal processes.

5. Total marketing alignment

Your marketing team always has up-to-date targeted lists for their campaigns.

Analytics data privacy

Swiftask applique des standards de sécurité enterprise pour vos automatisations countly.

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.

Pour aller plus loin sur la conformité, consultez la page gouvernance Swiftask et ses détails d'architecture de sécurité.

RÉSULTATS

Measurable impact on your data stack

Métrique	Avant	Après
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)

Passez à l'action avec countly

Boost your marketing precision and increase conversion rates with segmentation based on real-time data.

Optimisez vos tunnels de conversion avec Countly et l'IA

Cas d'usage suivant.