Swiftask analyzes your customer data and automatically segments your accounts in Badger Maps. Your sales reps visit the right clients, at the right time.
Result:
Boost your field team's efficiency and increase your conversion rate with always-up-to-date segmentation.
AI Agents
badger maps
Connector badger maps · Secure OAuth 2.0
Manual segmentation is a losing battle. Data changes, priorities shift, but your lists in Badger Maps remain static. As a result, your sales reps waste time on low-potential accounts and miss critical opportunities.
Main negative impacts:
Reduced field efficiency
Sales reps visiting low-profitability accounts due to a lack of data-driven prioritization.
Rigid segmentation processes
Updating segments takes days, rendering sales strategies based on outdated information.
Missed opportunities
The lack of weak signals prevents quick reactions to changes in key account behavior.
Swiftask automates the segmentation of your Badger Maps accounts. By cross-referencing your CRM and field data, our AI dynamically adjusts your segments, ensuring your field teams focus where the value is highest.
BEFORE / AFTER
Static segmentation
The manager exports lists, manually sorts them in Excel, then updates Badger Maps. The process takes a week. Meanwhile, client needs have evolved, making the work obsolete.
Swiftask dynamic approach
As soon as an account hits a revenue threshold or changes behavior, the Swiftask AI updates its segment in Badger Maps. The sales rep instantly sees the updated priority on their map.
1
STEP 1 : Connect your data sources
Link your CRM and billing tools to Swiftask to centralize signals from your accounts.
2
STEP 2 : Define your segmentation rules
Configure your criteria (revenue, last visit date, potential) in the Swiftask AI agent without a single line of code.
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STEP 3 : Activate Badger Maps synchronization
The agent pushes segment updates directly into the custom fields of your Badger Maps accounts.
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STEP 4 : Optimize in real time
The AI continuously adjusts segments. Your sales reps always benefit from an optimized field view.
The agent analyzes behavioral, historical, and financial data to classify each account according to a dynamic matrix.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-badger-maps@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.
Headquarters' priorities are immediately visible to sales reps on the ground.
Complete elimination of manual list-updating administrative tasks.
React within minutes to changes in your accounts' behavior.
No interface change for sales reps; they use Badger Maps as usual.
Every mile driven is made profitable by better selection of visited accounts.
Swiftask applies enterprise-grade security standards for your badger maps automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Update time | Several days | Real-time |
| Targeting precision | Based on static data | Based on dynamic data |
| Visit conversion rate | Standard | Measurable increase (+15-20%) |
Boost your field team's efficiency and increase your conversion rate with always-up-to-date segmentation.