91% of consumers are more likely to shop with brands that provide personalized offers and recommendations that are relevant to them.
Leverage the most important tool For Effective Personalization.
Deliver hyper-personalized customer experiences with a sharp focus on your customers, through tailoring their experience based on their related segment/ user group
Create multiple nested criteria segments based on your customer’s static data like age, location, education level etc. or their dynamic behaviours and interactions with your websitemobile app, Facebook page or any other social media platform.
Geographical Attributes
- Nationality
- Home / Work address
- Travel History
- Weather
Demographical Attributes
- Age, Gender, Marital Status
- Education Level
- Income Style
- Profession
- Industry
Live Customer Segments
Customers who Did / or Didn’t perform certain actions within a specific time durations like:
- Installed/ Uninstalled mobile app during last week/ Month/ hour
- Viewed/ Purchased products after campaign
AI-Automated Customer Behavioural Segments
- Age, Gender, Marital Status
- Education Level
- Income Style
- Profession
- Industry
E-commerce Segmentation Use Case
Let’s take an example of a complex segmentation that could be done in simple steps using Lagorta.
Fancy Shop is a retail store with an online shop and e-commerce mobile app. Fancy Shop is planning to launch a new section for Jewellery on their mobile app. They would like to notify their female customers, who are above 30 years old, with high income and are currently living in Dubai. And for a higher ROI for their campaign, they want to make sure that these customers have already installed their mobile app and used it to make orders before. And using the created segment, the marketing team can launch targeted & highly personalized campaigns with very high ROI & conversion rates
