• Pricing
Book a demo

Segment your Keen.io data with the power of AI

Swiftask analyzes your Keen.io streams in real-time. Identify complex user segments and behavioral trends without writing a single line of code.

Result:

Move from raw data to strategy. Make informed decisions with precise AI-driven segmentation.

The challenge of segmenting massive data volumes

Keen.io collects impressive amounts of events. However, transforming these logs into actionable marketing or product segments remains a constant challenge for data teams.

Main negative impacts:

  • Analytical overload: Teams are drowning in data. Identifying relevant behavioral patterns becomes an endless manual task.
  • Outdated static segmentation: Manually created segments become obsolete quickly. They do not reflect the dynamic behavior of users in real time.
  • Slow implementation: Each new segmentation requires intervention from data analysts, slowing down strategic decision-making.

Swiftask automates the segmentation of your Keen.io data. Our AI agents detect patterns, create dynamic cohorts, and alert you to behavioral changes.

BEFORE / AFTER

What changes with Swiftask

Traditional manual analysis

A data analyst extracts Keen.io data, exports it, creates complex queries, and segments in a spreadsheet or BI tool. The report is ready a week later, but the insights are no longer relevant.

Augmented analysis with Swiftask

Your AI agent is connected to Keen.io. It processes event streams continuously. As soon as a new user segment emerges, it is identified, qualified, and made available in your dashboard.

Deploying your AI segmentation analysis

STEP 1 : Connect to Keen.io streams

Configure access to your Keen.io projects in Swiftask. The agent starts ingesting and structuring events in real time.

STEP 2 : Define segmentation goals

Specify the behaviors to analyze: churn, feature adoption, loyalty. The AI learns the criteria for success.

STEP 3 : AI segment generator

The AI agent processes the data and automatically generates segments based on complex behavioral patterns.

STEP 4 : Monitor and adjust

Track the evolution of segments. Refine AI parameters via a simple conversational interface.

Analytical capabilities of your AI agent

The agent analyzes: usage frequency, session depth, conversion rates, and correlations between different Keen.io events.

  • Target connector: The agent performs the right actions in keen.io based on event context.
  • Automated actions: Automatic cohort identification. Behavioral anomaly detection. Segmented report generation. Export segments to your CRM or marketing tools.
  • Native governance: Results are consolidated in your Swiftask space for a clear and strategic overview.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-keen.io@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 business

1. Real-time insights

Stop working with cold data. Act on your users' current behavior.

2. Behavioral precision

The AI detects segments that human analysis might miss, thanks to multidimensional reading.

3. Operational agility

Modify your segmentation axes in seconds, without depending on technical teams.

4. Focus on value

Free your data analysts from repetitive tasks to focus on strategic interpretation.

5. Seamless Keen.io integration

Get the most out of your existing data infrastructure without complex migration.

Analytical data security

Swiftask applies enterprise-grade security standards for your keen.io automations.

  • Stream encryption: Your Keen.io data is processed via secure, encrypted connections.
  • Environment isolation: Each Swiftask workspace is isolated to guarantee the confidentiality of your analyses.
  • GDPR compliance: Analysis is conducted in compliance with personal data protection standards.
  • Access control: You control who can view or modify segments generated by the AI.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Impact on your analytical performance

MetricBeforeAfter
Segment creation timeSeveral daysInstant (AI)
Targeting precisionBased on limited criteriaMultidimensional and dynamic
Responsiveness to changesReactive (post-mortem)Proactive (real-time)
Data team workloadHigh (manual queries)Low (AI oversight)

Take action with keen.io

Move from raw data to strategy. Make informed decisions with precise AI-driven segmentation.

Anticipate market shifts: trend forecasting via Keen.io

Next use case