
- February 15, 2018
- RecoSense
- Retail
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.
These are the tactics most retailers use to do this:
- Delivering personalised content – Through this, the engagement goes up translating to more purchases
- 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.
- Rewarding Loyal customers – Many customers who purchase from stores are repeat buyers who are incentivised by rewards from the store for their loyalty.
- 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.

RecoSense
With an AI-first approach and strong expertise in AI frameworks, RecoSense is a one-stop partner for end-to-end Data Intelligence Solutions. Our industry-unique cognitive computing platform based on Natural Language Processing and Machine Learning frameworks offers Intelligent contextual interpretation of the Content & Users.
Categories
- Analytics (12)
- Artificial Intelligence (25)
- Aviation (3)
- CDP (20)
- clickstream data analysis (1)
- content intelligence (8)
- contextual insights (2)
- cross-selling (5)
- Data Engineering (10)
- Finance (29)
- Healthcare (1)
- IDP (3)
- Legal (1)
- Manufacturing (2)
- Marketing (21)
- Media (32)
- Natural Language Processing (5)
- NLP (10)
- Retail (60)
- Shopify (24)
- Sports (1)
- Technology (2)
- Travel (5)
- Uncategorized (3)
- Upselling (4)
Recent Posts
-
AI for Fraud Detection
Mar 17, 2023
AI and ML Use Cases in Insurance IndustryJan 10, 2023
AI in Equity ResearchNov 21, 2022
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 experience customer journey customer journey mapping customer loyalty customer retention Customer Segmentation Data Analytics digital experience ecommerce ecommerce personalization Hyper Personalization machine learning magento extensions magento plugin marketing media 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 experienceNewsletter
Get regular updates on data science, artificial intelligence, machine
[contact-form-7 id="2755" title="Comming soon"]You might also like
