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Coursera Scales Personalization with Just AI-Decisioning

Coursera and Just Words share a bold vision: build AI-native systems that make personalization effortless, scalable, and ROI-positive. Coursera has long led the charge in applying AI across learning, using it to create courses, coach learners, and assess progress. Just Words brings that same intelligence to lifecycle marketing, making it easy for teams to run hundreds of tests, personalize at scale, and surface insights automatically, without relying on engineers or analysts.

From bandwidth bottlenecks to AI-powered breakthroughs - Coursera drove growth, efficiency, and insights without writing a line of code.

”Don’t have to use external reporting tools for readouts”

“Just Words took 1 afternoon to setup, It would have required a dev team in the past, wouldn’t have done it myself”

🚀 The AI-Forward Collaboration

Coursera and Just Words share a bold vision: build AI-native systems that make personalization effortless, scalable, and ROI-positive.

Coursera has long led the charge in applying AI across learning, using it to create courses, coach learners, and assess progress. Just Words brings that same intelligence to lifecycle marketing, making it easy for teams to run hundreds of tests, personalize at scale, and surface insights automatically, without relying on engineers or analysts.

Together, they set out to answer a big question:

What if Lifecycle personalization could be as fast as the internet it runs on?

🎯 Goals

Optimizing lifecycle emails at scale. Success meant hitting three objectives:

  • 📈 Lift in revenue and email KPIs from improved performance

  • ⚡️ 10x greater testing efficiency

  • 💡 Faster, proactive insights to inform product and marketing

📌 The Problem

Before Just Words, personalization Lifecycle messaging was slow and expensive:

  • Some cohort-level test required engineering lift and coordination

  • Performance readouts took hours of manual analysis across tools

  • Creative team bandwidth did not allow for multiple iterations of copy and limited to sprint cycles.

Despite having strong hypotheses and plenty of content ideas, bandwidth - not creativity - was the blocker.

💡 The Just Words Solution

In under 2 weeks, Coursera was live on Just Words, testing, optimizing, and learning across dozens of messages with no engineering help.

📩 Here’s what changed:

  • Scale without the sprawl: 147 email variants tested in just one month, 452,000+ messages personalized and optimized through Just Words

  • AI powered: 65 AI decisions made by Just Words' AI

  • Hyper-targeting: We personalized lifecycle messaging by degree, domain, and learner interest

  • KPI optimizations: We employed greedy optimizations to pick winning variants among many variants in real time, diverting resources to high performers based on true KPIs like enrollment and subscription rates

  • Content Prediction: We used performance indicators to predict the next best content

  • Zero manual reporting: Dashboards tracked every test and surfaced weekly insights

In essence: Coursera got the performance of a 3 person experimentation team, without hiring a single one.

📈 The Business Impact

1. 🚀 Performance Gains

We saw $160,000 in incremental revenue from optimized campaigns in 3 weeks. Here’s a sneak peek into some of those!

Use Case

KPI

Lift Achieved

Welcome & Onboarding

Enroll Course Rate

+16.25%

Churn Series

Subscription Rate

+27%

Post-Cancellation

Subscription Rate

+5.14%

2. ⏱ Time and Team Efficiency

Task

Before Just Words

With Just Words

Setup & Personalization

20 hours per campaign

1-2 hours max

Reporting

Manual in EPIC/Sheets

AI powered automated insights

Data Analytics for Learnings

2 hours/week per campaign

Instant insights surfaced weekly

Team Time Savings

~20 hours/week/person

Over 4,000 hours saved annually

3. 🧠 Weekly Insights at Scale

Just Words surfaced messaging insights across dozens of campaigns, highlighting top-performing copy, categories that converted better, and the traits that moved KPIs.

Examples included:

  • Category-specific subject lines that drove significantly higher CTRs

  • Welcome emails with an inclusive hook and direct CTA outperformed others

  • Post-cancellation emails personalized by career interest increased re-subs

🛠️ Dramatic Efficiencies - The Just Words Agent Advantage

Component

Internal Build (Est.)

Just Words

ML Decisioning Engine

12–18 months, $1.5M+

✅ Out-of-the-box

Bandit Optimization & Routing

3+ quarters, $1M+

✅ Built-in, multi-KPI aware

Insights & Dashboards

2–4 months, $250K

✅ Realtime reporting included

Brand-Safe Content Generation

$600K–$1M

✅ LLM-powered with QA controls

Total Cost

$3.2M–$6.5M+

✅ Included in platform pricing

Instead of a multi-year roadmap and huge spend on large engineering and marketing teams, Coursera shipped enterprise-grade testing in weeks.

🔮 What’s Next

We’re now expanding broader and deeper!

  • 💬 More channels: From email into WhatsApp, in-app, and web

  • 🎯 Deeper personalization: Targeting by learning goals, location, and behavior

  • 🌎 More markets: Adapting content for global regions

The next chapter? Making every learner interaction as intelligent as the product itself.

💬 Take Aways

Coursera’s story is a blueprint for how AI can revolutionize lifecycle marketing:

✅ Skip the engineering backlog

✅ Test faster than you ever thought possible

✅ Let performance—not guesswork—guide your next move

Whether you're a team of 3 or 30, you can now act like a team of 300.

That's what Just Words’ AI-decisioning unlocks.

© 2024. Choice AI Inc. All Rights Reserved

© 2024. Choice AI Inc. All Rights Reserved

© 2024. Choice AI Inc. All Rights Reserved