- December 5, 2019
Personalization in eCommerce is vital in understanding customer journey, customer journey with a better 360-degree view of the customer. Let us see some important personalization tips for small eCommerce businesses.
E-Commerce personalization can go a milestone in building up a relationship with prospective buyers. It personalizes with every customer by giving them individualized offers, product recommendations, and relevant content subject to their previous activity, demographics, and other personal data.
If we consider the latest trends for eCommerce personalization, the Higher the personalization in eCommerce better the customer engagement, resulting in better business and ROI.
As per the latest statistics,
- 74% of customers get disappointed when showing them irrelevant content.
- customers get disappointed when showing them irrelevant content.
- 90% of customers believe personalization is meant for the future.
- 48% of customers like to spend more when their experience is personalized
Personalization is just a way beyond greeting the customer only by their name when they visit your website.
Personalization tips for small eCommerce for effective business
1. Provide Tailor-made content
Provide every Internet user with meaningful information relevant to their searches. Make use of Artificial Intelligence and continuous machine learning for showing the products and offers that are essential for every customer group irrespective of their profile.
AI helps in drawing customer data subject to their likes, dislikes, trends, and behavior, and your own customer-focused recommendations, personalized search, and merchandising that lead to highly effective improvements in online conversion rates.
When you know what the buyers are searching for, provide them with relevant content that helps them to make up their minds. Once the purchase is finalized, provide tutorials and instructions to the customers for making the most of their products.
2. Make the buyers move throughout the buying process
With personalization, you can track every customer through every step of their buying process. You would get to know when to greet the customer by the name when to share with them more product information that interests them and which products to recommend.
3. Offer them better product Personalised recommendations
These are based on buyers’ previous purchase history. Show them the previous products under different categories, prices, and sellers which induce them to take a look at and prepare their minds for final purchase.
AI-based personalized e-commerce platforms gather behavioral data of each single website visitor with respect to views, searches, purchases, and even time of day or amount spent. Analyze the data and identify relationships that help to cluster the data as per different customer segments. Classify the users into first-time visitors, special cart promotion to VIP customers, or offer 25% off during a seasonal duration for all customers who have not purchased in the last 6 months.
4. Handle the data and deliver a personalized experience across all users
Analyze the large volumes of customer data in real-time using Big data and predict the frequency of every visitor to convert depending on historical interactions of visitors and customers on your website. Provide touch base to every customer and work on segmenting the buyers according to their wishes, wants, tastes, income, and any other descriptor you can think of.
5. Work on maximizing the segmentation benefit
Make use of pop-ups
Propper use of pop-ups can encourage the users to sign up for your mailing list, loyalty program, or newsletter. This will increase your contact list and help you in setting email marketing campaigns for boosting sales.
Free shipment is a major psychological turn on for any customer that generates customer loyalty and customer retention resulting in quantifying the business
Reduce the shopping cart abandonment
Reduce shopping cart abandonment in the following ways :
- Create a user-friendly interface to ease out the navigation and check out process.
- Send shopping cart abandonment emails
- Increase the trust of the prospective buyers by showing them trust symbols and valid SSL certificate
- Show them price match guarantee
- Give them guest checkout option
Positive customer reviews
Reviews not only build trust but also play a precious role in the decision making likewise reviews ratings, customer testimonials also builds the market reputation and creates an impact on other customers to buy from you.
Set automated personalized email marketing campaigns
To the prospective buyers navigating on their current activity by inducing them with personalized suggestions through to take further action such as encouraging cart abandonment users to revisit the site and complete the transaction.
Provide excellent customer service
Delighting the customer is the new normal, Personalised content via social media, live chat, email, phone or customer service center, or helpdesk for resolving the immediate queries of the customers.
Reward your loyal customers
Reward your loyal customers via loyalty programs, reward points, discount coupons, or free shipment that encourages maximum sales.
Sell your products in an innovative way
Sell your products in an innovative way by churning out new innovative marketing ideas to boost up the sales.
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.
- 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)
AI for Fraud Detection
Mar 17, 2023AI and ML Use Cases in Insurance Industry
Jan 10, 2023AI in Equity Research
Nov 21, 2022
TagsAI 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 experience
Get regular updates on data science, artificial intelligence, machine[contact-form-7 id="2755" title="Comming soon"]
You might also like
E-commerce and Media Companies are Missing out on Content Personalization Strategy!RecoSense0 1