NourishNudge: 40% to 80% completion.
How we built an engagement automation system that doubled course completion, onboarded 1,000+ coaches, and created a self-sustaining learning community.
The challenge
NourishNudge had a quality platform and strong content — but coaches were dropping off. Completion sat at 40%, onboarding was manual and slow, and there was no system to re-engage users before they churned.
The team burned hours on manual follow-ups that should have been automated. As the platform grew, that approach didn't scale — and drop-off was costing renewals, referrals, and reviews.
Our solution
Personalized onboarding
A 14-day automation that walks each new coach through setup, first content, and first client engagement — tailored to their specialty.
Behavior-triggered follow-ups
Sequences that fire on coach behavior — no login in 3 days triggers a personalized nudge with specific next steps.
Progress tracking & nudges
A smart engine that tracks course progress and re-engages learners at the optimal moment — not too early, not too late.
Community engagement automation
Weekly digests, milestone celebrations, and peer-matching prompts that turned a passive platform into an active community.
The results
Within 3 months, completion doubled from 40% to 80%. Onboarding automation cut setup time 70%, letting the team scale to 1,000+ active coaches without adding headcount.
Retention rose 30%, and community automations created a virtuous cycle — active coaches referred new ones, who completed faster thanks to better onboarding. Platform revenue doubled within 6 months.
We were manually following up with coaches every week — unsustainable. DigiARV built an automation system that does it better than we ever could, at scale. The completion jump is the proof.
Engagement summary
What we delivered
- 14-day personalized onboarding
- Behavior-triggered follow-ups
- Progress tracking & nudge engine
- Weekly community digest automation
- Milestone celebration automations
- Peer-matching prompt system
- Re-engagement drip campaigns
- Churn-prediction early warning