Product: AI Decisioning

Communication that adapts to each user's behavior.

Plotline's AI Decisioning helps consumer teams continuously experiment and learn to communicate with users in moments that matter — intelligently, instantly, and at scale.

Your users don't follow a funnel. Plotline's AI Decisioning adapts to each one.

Before AI Decisioning

  • Broad rule-based segments that don't adapt over time
  • Generic messaging that fails to convert
  • Manual A/B tests that require weeks to prepare, then iterate, and analyze
  • Impossible to personalize for new & anonymous users

With AI that self-optimizes

  • Dynamic segments (as small as one user) that adapt in real-time
  • AI that decides for each user, not cohorts
  • 1000s of variants being created automatically, being tested in parallel
  • Predictive personalization even for first-time users

Marketing orchestration meets continuous experimentation

01

You set up a success metric

AI understands your goals to define the KPIs to prioritize and optimize.

02

AI understands customer behavior

Analyzes real-time interactions to find what works best for each user segment.

03

Personalizes for each user, not segments

Predicts the best next action and finds the most effective channel, content, and delivery for each user, instantly.

04

Continuously optimizes for the next best action

Runs 1000s of parallel experiments, learns from every customer interaction to continually learn and improve experiments.

Built for every stage of the user lifecycle

Real examples from leading consumer apps using Plotline's AI Decisioning to drive measurable outcomes.

Uber — Grow revenue per user
Uber

Grow revenue per user

Uber uses contextual in-app offers to surface the right upgrade or reward at the moment of highest intent — driving revenue without interrupting the experience.

Tokopedia — Drive repeat engagement
Tokopedia

Drive repeat engagement

Tokopedia uses floating buttons to resurface relevant offers and nudges, bringing users back to key actions based on real-time behavior signals.

Myntra — Personalize at scale
Myntra

Personalize at scale

Myntra adapts homepage content per user, delivering uniquely curated experiences powered by real-time behavioral data and AI predictions.

Kuku FM — Win back inactive users
Kuku FM

Win back inactive users

Kuku FM uses stories to re-engage dormant listeners with personalized content recommendations and contextual nudges that feel native.

Myntra — Build lasting loyalty
Myntra

Build lasting loyalty

Myntra uses streaks and daily engagement mechanics to build habits, not just clicks — turning occasional shoppers into loyal daily visitors.

Nykaa — Omnichannel coordination
Nykaa

Omnichannel coordination

Nykaa uses timer-based push notifications paired with in-app nudges to create urgency and coordinate messaging across channels seamlessly.

What makes Plotline AI Decisioning different

Self-optimizing intelligence that adapts to every user — with full transparency and control.

1000+

1000s of variants

AI generates and tests thousands of content, timing, and channel combinations in parallel — far beyond manual A/B testing.

Per-user decisions

Every user gets a uniquely optimized experience. AI treats each person as a segment of one, not a broad cohort.

Continuous learning

The system improves with every interaction. Real-time feedback loops ensure decisions get smarter over time.

Predictive targeting

AI predicts the best channel, content, and timing for each user — including first-time and anonymous visitors.

Transparent guardrails

Set frequency caps, messaging windows, and success metrics. Full visibility into why each decision was made.

Freq. cap
Msg window
Cool-down
KPI goal

Power up your existing Line-Up

Easily move real-time data from source to destination and craft campaigns based on unlimited profile attributes, events, or actions.

Frequently asked questions

AI Decisioning helps with growth marketing (targeted in-app campaigns), promotional campaigns (personalized offers for sales and product launches), onboarding optimization (choosing the best channel and content for each user), re-engagement (finding optimal timing and messaging), and predictive customer journeys (identifying drop-offs and adapting strategy).

You need user behavior data (clicks, purchases, session duration), historical campaign performance data, contextual factors (time of day, device type, preferences), and user profile data (demographics, usage patterns, engagement history). Plotline connects to your existing data stack.

AI Decisioning is transparent with full control. You can access real-time insights into decisions, set guardrails for messaging time and frequency caps, and adjust strategies manually or let the system automate optimizations based on your defined success metrics.

Schedule a call with us!

We'll use this call to broadly understand your use case, and, if we're a good fit, go over how we can help you.