Feature Adoption Nudge Agent - Usage-Triggered In-App + WhatsApp Prompts
AI continuously monitors feature usage across customer accounts, identifying gaps (e.g., 'Customer X is not using Advanced Workflows despite it solving their stated use case'). AI sends a WhatsApp nudge with a 2-minute video tutorial, emails a case study showing ROI of the feature, invites the user to an optional feature-focused webinar, and if adoption remains <20% after 14 days, alerts the CSM to conduct a health check.
AI operates via
How It Works
- 01
Feature Adoption Baseline Establishment
At customer onboarding, AI maps stated use cases and goals to relevant product features. Baseline adoption is 0%. Tracks adoption as: feature interacted with yes/no, and depth (how many of feature's capabilities used, e.g., basic workflows vs. advanced triggers).
- 02
Usage Gap Detection
Daily, AI checks feature usage: if customer's stated use case requires Feature X but usage of Feature X is 0% after 14 days, AI flags as 'adoption gap.' Groups gaps by feature and customer cohort (e.g., 'Advanced Workflows not adopted by 60% of similar-profile customers').
- 03
Personalised Video Nudge
AI sends WhatsApp message: 'Hi [Name], noticed you're using [Feature Y] to [task]-we just released Advanced Workflows which handles this 3× faster. Here's a 2-min demo [video link].' Video is contextualised to their use case, not generic.
- 04
Follow-up Content + Webinar Invite
2 days later, if no adoption, email a case study: 'How [similar customer] cut process time using Advanced Workflows.' Invites user to live webinar: 'Thursday 2pm: Advanced Workflows deep-dive with product team.' Optional but positioned as learning opportunity.
- 05
Low-Adoption Escalation
After 14 days, if adoption remains <20%, AI generates CSM alert: 'Feature Adoption Gap: [Customer], 0% adoption of Advanced Workflows despite 3 touches. Suggest: (1) Schedule 15-min onboarding call, (2) Check if feature solves real use case, (3) Or remove from roadmap for this segment.' CSM decides next action.
See How It Works
The AI Employee executes each step autonomously - no human intervention required unless explicitly configured.
Feature Adoption Baseline Establishment
Usage Gap Detection
Personalised Video Nudge
Follow-up Content + Webinar Invite
Low-Adoption Escalation
Feature Adoption Baseline Establishment
At customer onboarding, AI maps stated use cases and goals to relevant product features. Baseline adoption is 0%. Tracks adoption as: feature interacted with yes/no, and depth (how many of feature's capabilities used, e.g., basic workflows vs. advanced triggers).
Usage Gap Detection
Daily, AI checks feature usage: if customer's stated use case requires Feature X but usage of Feature X is 0% after 14 days, AI flags as 'adoption gap.' Groups gaps by feature and customer cohort (e.g., 'Advanced Workflows not adopted by 60% of similar-profile customers').
Personalised Video Nudge
AI sends WhatsApp message: 'Hi [Name], noticed you're using [Feature Y] to [task]-we just released Advanced Workflows which handles this 3× faster. Here's a 2-min demo [video link].' Video is contextualised to their use case, not generic.
Follow-up Content + Webinar Invite
2 days later, if no adoption, email a case study: 'How [similar customer] cut process time using Advanced Workflows.' Invites user to live webinar: 'Thursday 2pm: Advanced Workflows deep-dive with product team.' Optional but positioned as learning opportunity.
Low-Adoption Escalation
After 14 days, if adoption remains <20%, AI generates CSM alert: 'Feature Adoption Gap: [Customer], 0% adoption of Advanced Workflows despite 3 touches. Suggest: (1) Schedule 15-min onboarding call, (2) Check if feature solves real use case, (3) Or remove from roadmap for this segment.' CSM decides next action.
Key Results
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