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
Engagement that adapts to each user's behavior.
Plotline’s AI Decisioning learns from every interaction to choose the right message, moment, and channel for each user.
Your users don't follow a funnel. Plotline's AI Decisioning adapts to each one.
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
You set up a success metric
AI understands your goals to define the KPIs to prioritize and optimize.
AI understands customer behavior
Analyzes real-time interactions to find what works best for each user segment.
Personalizes for each user, not segments
Predicts the best next action and finds the most effective channel, content, and delivery for each user, instantly.
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
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.
What makes Plotline AI Decisioning different
Self-optimizing intelligence that adapts to every user, with full transparency and control.
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.
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.
Works with the tools and customer data you already use.
- Braze
- Segment
- CleverTap
- Mixpanel
- MoEngage
- Amplitude
- Snowflake
- OneSignal
- Pendo
- Singular
- Dynamic Yield
- Netcore
- ClickHouse
- Meta
- Google BigQuery
- Google Analytics
- AppsFlyer
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.
Comprehensive security and compliance assured.
