Swiftask orchestrates your data with Relevance AI to segment audiences instantly. Target the right profiles with surgical precision, automatically.
Result:
Boost conversion rates by delivering ultra-personalized messages based on dynamic segments updated in real-time.
AI Agents
relevance ai
Connector relevance ai · Secure OAuth 2.0
Static customer segmentation is obsolete. Your teams spend hours manipulating spreadsheets, creating segments that are already outdated by the time they are used. This latency kills campaign effectiveness and degrades customer experience.
Main negative impacts:
Inaccurate marketing targeting
Static segmentation ignores recent behavior changes, leading to irrelevant messaging and lower engagement rates.
High operational costs
Manually updating prospect lists consumes valuable time that should be spent on strategy and creative work.
Underutilized customer data
Your databases contain rich insights that traditional methods cannot extract or turn into actionable segments.
Swiftask connects your data to Relevance AI to automate segmentation. The AI analyzes behaviors, adjusts segments continuously, and syncs results with your CRM and marketing tools.
BEFORE / AFTER
Traditional segmentation
An analyst exports a CRM report, filters data in Excel, creates a mailing list, and manually imports it into an email tool. The process takes days and is prone to errors.
The power of Swiftask + Relevance AI
AI analyzes incoming data streams continuously. As soon as a customer changes behavior (purchase, unsubscribe, engagement), they are automatically moved to the appropriate segment, ready for tailored communication.
1
STEP 1 : Connect your data sources
Link your CRM or databases to Swiftask. Centralize your customer information for cross-functional analysis.
2
STEP 2 : Configure analysis via Relevance AI
Define segmentation criteria within the Swiftask interface. Relevance AI processes and categorizes profiles using predictive models.
3
STEP 3 : Automate audience updates
Create workflows that automatically sync your segments to your marketing automation tools or ad platforms.
4
STEP 4 : Measure and optimize continuously
Track segment performance in Swiftask. Adjust your AI parameters to refine targeting without writing a single line of code.
Your agent analyzes purchasing behavior, engagement history, demographics, and weak signals to create dynamic behavioral segments.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-relevance-ai@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.
Reach every customer with the exact message they need, at the moment they are most receptive.
Adapt your strategies in minutes rather than days thanks to real-time data flows.
Reduce ad spend waste by targeting only high-value audiences.
Manage millions of customer profiles with the same ease as a small database thanks to AI processing power.
Your sales teams receive qualified and segmented leads constantly, facilitating the sales process.
Swiftask applies enterprise-grade security standards for your relevance ai automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Segment creation time | Several days (manual) | Real-time (automated) |
| Conversion rate | Low (generic targeting) | Optimized (personalized targeting) |
| Data management | Silos and inconsistencies | Single source of truth |
| Technical maintenance | High IT dependency | Full business autonomy |
Boost conversion rates by delivering ultra-personalized messages based on dynamic segments updated in real-time.