- February 15, 2018
- RecoSense
- Retail
Â
Online Retailers spend a good amount of money on marketing to acquire users/visitors. Return on this investment is only possible through retaining these users. We’ve seen that a 5% increase in the customer retention at times converts to 25-90% higher profits.
Â
These are the tactics most retailers use to do this:
- Delivering personalised content – Through this, the engagement goes up translating to more purchases
Â
- Using analytics – This works on multiple levels – from understanding users through behavioral analytics to understanding well-performing and under-performing aspects of the website, etc. This is a critical tool for all retailers.
Â
- Rewarding Loyal customers – Many customers who purchase from stores are repeat buyers who are incentivised by rewards from the store for their loyalty.
Â
- Incentivising feedback – Feedbacks enable customers to voice their opinions on the shopping experience and makes them feel that the store values their thoughts. If this doesn’t make them feel like shopping more, incentivising the feedback definitely will.
Â

Categories
- Analytics (12)
- Artificial Intelligence (25)
- Aviation (4)
- CDP (20)
- Content Intelligence (8)
- Contextual Insights (2)
- Data Engineering (10)
- Finance (36)
- Healthcare (3)
- IDP (3)
- Legal (1)
- Manufacturing (5)
- Marketing (21)
- Media (32)
- Natural Language Processing (15)
- Pharma (1)
- Retail (60)
- Shopify (24)
- Sports (1)
- Travel (5)
Tags
AI
AI personalization
Analytics
artificial intelligence
boost sales
Buyer Persona
content discovery
content personalization
content recommendation
cross-sell
cross-selling
customer data platform
customer engagement
customer journey
customer journey mapping
customer retention
Customer Segmentation
Data Analytics
digital experience
ecommerce
ecommerce personalization
Hyper Personalization
Investment research
machine learning
magento extensions
magento plugin
marketing
media
natural language processing
omnichannel personalization
ott
ott trends
personalisation in small eCommerce
Personalization
predictive analysis
predictive analytics
product discovery
product recommendation
retention
sentiment analysis
shopping
upsell
upselling
user engagement
user experience