Maximize conversion rates, real-time personalized messages
Related Marketing Services: Search Advertisement | Viral Marketing | SNS Marketing | YouTube Advertisement
Real-time personalization strategy
Induce conversion rate increases by delivering personalized marketing messages tailored to customers using real-time marketing technology
We provide information on maximizing conversion rates, real-time personalized messages, and real-time marketing strategies.
Real-time personalization core strategy
1. Customer behavior analysis
Analyze real-time customer behavior.
- page view
- click pattern
- residence time
- purchase history
2. AI-based prediction
Use AI to predict your customers’ next actions.
- machine learning
- Behavior prediction
- Interest Analysis
- Purchase probability
3. Create real-time messages
Real-time messages are created based on analysis results.
- dynamic content
- personalized message
- Customized Offers
- react immediately
4. Multi-channel delivery
Deliver messages through various channels.
- website
- app push
- social media
5. Performance measurement
Measure the performance of your personalized messages.
- click through rate
- conversion rate
- Participation
- ROI
6. Continuous optimization
We continuously optimize based on performance.
- Performance analysis
- Model improvement
- Message Optimization
- continuous learning
Comparison of effects by personalization level
| level of personalization | conversion rate | Implementation Difficulty | data needs | cost |
|---|---|---|---|---|
| Basic personalization | low | easy | low | low |
| Segment Personalization | middle | middle | middle | middle |
| individual personalization | high | difficult | high | high |
| Real-time personalization | very high | very difficult | very high | very high |
| AI-based personalization | best | best | best | best |
5 steps to building real-time personalization
Step 1: Create a Strategy
Establish a real-time personalization strategy.
- goal setting
- target definition
- Channel selection
- budget plan
Step 2: Data collection
We collect data necessary for personalization.
- customer data
- behavioral data
- preference data
- real-time data
Step 3: Building the system
Build a real-time personalization system.
- Choose your platform
- Building AI models
- Real-time processing
- Create message
Step 4: Test and Run
Test and run your system.
- A/B testing
- performance measurement
- Optimization
- front running
Step 5: Continuous improvement
Analyze performance and continuously improve.
- Performance analysis
- Model improvement
- Message Optimization
- continuous learning