E-commerce optimization is more than creating good product pages and running marketing campaigns.

Online retailers have been testing different ways to optimize the customer experience to increase conversion rates.

This article will explore the best practices for optimizing your e-commerce store in 2024 to improve your conversion rate.

E-commerce optimization involves improving every aspect of your customers’ buying experience on your online store to boost conversions.

You can optimize your online store by setting up a conversational experience on your store that guides your shoppers throughout their product discovery phase, helping them find the right product for their needs

Other ways to optimize your online store include adding AI-powered product recommendations, setting up a semantic site search, testing out smart pop-ups with personalized offers, and adding a product quiz.

Personalization has become crucial for online stores, as it helps a brand boost customer engagement and loyalty.

You can personalize your site’s experience with dynamic content that updates recommendations and re-targeting campaigns in real-time, customized email campaigns, and a home page that is personalized to each shopper.

E-commerce optimization is when your brand improves every aspect of your consumers’ buying experience to improve your conversion rate.

With the rapid growth of digital commerce in 2024, optimization is critical to make sure that your store attracts shoppers, converts them, and retains them as loyal customers.

You can optimize various aspects of your customers’ buying journey, such as:

Your advertising, targeting, and re-targeting efforts to attract the right customers.

Your home page, landing pages, and category pages to improve their conversion rate.

The purchase flow, such as making sure it’s easy to buy and return your products.

How Can You Optimize Your Online Store’s Conversion Rate?

Apart from optimizing existing channels of growth and pages on your website, your online brand can also look to improve the customer experience by:

Setting up various product recommendation engines across site search and product pages.

Adding a conversational assistant in your store to help your customers find the right product for their needs (more on that later).

Set up a website product quiz that can collect consumer data and offer personalized product recommendations.

Let’s go over a bit more detail into each of these 

One of the best ways to optimize your e-commerce store is by setting up a conversation

What customers miss from traditional stores is talking to a knowledgeable and helpful salesperson who can help them with their buying journey.

 (that’s us), you can recreate that sales assistant-like experience in your online store.

Shoppers can ask the AI-powered assistant contextual questions about your products from anywhere on your site.

The sales agent can understand user intent and converse with your customers like a human, 24/7.

 when asking the AI assistant to compare two different e-bikes ⤵️

The software is trained to provide personalized answers based on the information about your products, site content, and each customer’s engagement with your store.

Here’s why online brands have been adopting Big Sur AI:

: The sales agent can help your shoppers find the right product at any time without relying on human agents to be online.

: You control the AI experience to ensure that the tone of voice represents your brand. The software has been fed and trained with your store’s information.

Our AI Sales Agent’s advice has been designed to provide relevant recommendations and propose follow-up questions based on data on what would most likely lead to conversions.

: Shoppers can talk to the sales agent as if they were messaging a real human.

Here’s the AI assistant in action ⤵️

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 to provide real-time support to your shoppers to recreate the in-store shopping experience.

Rad Power Bikes converts a 12% conversion rate for shoppers who converse with the AI Sales Agent.

This is four times more than their store's average conversion rate.

get data into the conversion rates of each question your users ask that leads to a conversion.

This will help you identify the crucial pre-purchase questions interested shoppers ask.

#2: Add AI-Powered Product Recommendations That Are Customized

Optimize your e-commerce store by adding personalized product recommendations to improve the customer experience.

Personalized product recommendations are customized suggestions made to your shoppers that consider the customers’:

Browsing history (e.g., what pages they viewed on your website).

 utilizes algorithms and predictive AI to analyze customer behavior even if your shoppers are not registered on your website.

 on their store to improve their conversion rates and basket sizes.

 that can dynamically update recommendations, adapting to changing preferences and behaviors.

real-time and personalized to each shopper

, ensuring that customers see the most up-to-date products based on their last interaction with your site.

➡️ Our algorithm makes contextual product recommendations based on your shoppers’ engagement with your store (e.g., transactional history) and information gathered through the conversational experience with the AI assistant.

The product recommendations are then broken into three modules:

Products that customers will most likely buy based on what the software knows about them.

 These recommendations appear once customers add a product to their cart. This module features other products that shoppers buy based on their previous activity.

 The bestsellers in the same product category as the product your consumers are considering.

The tool shows items based on the shoppers' gathered information rather than generic recommendations.

Your shoppers can receive these product suggestions on your product pages or during a conversation with the AI Sales Agent, increasing your conversion rate and basket sizes.

 show that product recommendations have the best return on investment as they, on average, increase the average order value by 11% & conversion rates by 26%.

 from AltexSoft agrees that one of the main advantages of personalized recommendation systems is that they lead to higher conversion rates.

This is because because online brands assist customers in finding the perfect fit for their needs.

 if they are still looking for what they want.

This is why you must pay attention to your e-commerce site search function.

You can optimize your website by adding an AI-powered semantic site search that can understand user intent instead of just matching keywords to product titles.

 combine customer data alongside predictive AI to suggest relevant product recommendations in its semantic search.

➡️ When shoppers are searching on your site search, the search engine recommends products based on their shopping journey and purchase behavior.

The goal is to minimize the "null" results customers get when no product is matched and optimize for non-product queries (e.g., finding the return policy).

💡The personalization technology works similarly to how product recommendations work.

For example, Sur La Table partnered with Bloomreach to level up its product discovery journey.

The online retailer offers a range of cookware and glassware products and identified that its customers struggled to find what they needed.

Sur La Table utilized Bloomreach’s Discovery

 to improve their product discoverability and personalization of search results.

The brand saw significant improvements in key performance metrics, including:

7.6% increase in search average order value.

6.6% lift in search add-to-cart (ATC) rate.

 are influenced by a relevant search result.

Fernando Aguilar from Enterprise Knowledge

 notes that semantic search can provide more comprehensive and relevant results.

This is especially true when the customer’s intent may not be well-defined or when multiple meanings are possible.

#4: Set Up Smart Pop-Ups & Customized Offers

You can set up smart pop-ups with personalized offers to optimize your site’s conversion rate and minimize your bounce rates.

These AI-powered tools use your customers’ interests and on-site behavior to show targeted pop-ups with tailored offers.

There are different kinds of pop-ups, such as:

that appear when your customers scroll down.

 that try to figure out when your customers are about to leave.

Pop-ups that appear when your shoppers have been on the website for some time.

Kiss My Keto decreased their cart abandonment rate by 20%

The D2C keto lifestyle brand wanted to boost its sales by converting a higher percentage of its existing traffic.

E-Commerce Optimization Guide for 2024

E-commerce quizzes let your brand engage your shoppers and further personalize their shopping experience.

Such interactive content offers a unique way to improve customer engagement and drive conversions.

In this article, we’ll explore seven e-commerce quiz examples you can use to inspire your online store.

E-commerce quizzes are sets of interactive questions that brands show to their shoppers, which are designed to gather information to give personalized product recommendations.

The top benefits of quizzes for online stores are that they increase customer engagement and satisfaction, leading to increased conversion rates and average basket sizes.

Some of the best examples of e-commerce quizzes are from Rad Power Bikes, which set up a conversational experience, and Sephora’s quiz, which offers personalized skincare products.

a set of interactive questions you show your shoppers to gather information about their product preferences and needs.

They help your brand deliver a personalized shopping experience by asking customers questions and recommending products.

Also known as product recommendation quizzes, help your brand collect first-party customer data and feed these insights into your product recommendation engine.

➡️ In a world where customers are overwhelmed with product choices, product quizzes let them narrow their choices.

By personalizing the customer experience, you will improve your online store’s conversion rates and customer satisfaction,

💡 This is similar to how an in-store shopping assistant acts.

They approach confused consumers who need to know what products to choose, ask them questions, and then recommend a product for their needs.

As online stores do not have shopping assistants, 

merchants have begun personalizing the shopping experience with e-commerce quizzes in a conversational experience.

These product quizzes make it easy for first-time visitors to find what they are looking for and for your brand to convert them.

What are the Benefits of Using E-Commerce Quizzes?

The main benefits of e-commerce quizzes are that they:

Improve customer engagement with your brand

 by recommending product bundles and products that go together for best results.

When customers feel they receive personalized product recommendations, they’re more likely to purchase, making quizzes an effective tool for personalizing your store’s experience.

 show that personalized product recommendations can make 28% of shoppers more likely to buy a product they didn’t intend to buy initially.

E-commerce quizzes also help you gather more first-party customer data and learn more about your customers.

Instead of relying on external datasets and third-party data from Google or Meta, your brand can conduct ongoing customer research.

For example, Matt Schlicht shared a story about working with a brand that sells incense to people who want to cover up the smell of weed.

They set up a quiz and found out that their customers are all older women who don’t smoke weed but just want to get rid of the smell.

The 7 Best E-Commerce Quiz Examples To Inspire You In 2024

From beauty brands to fashion retailers, we will review 7 of the best e-commerce quizzes of online brands, improving the customer shopping experience and driving engagement.

You can use these inspirational quizzes to build your quiz strategy and delight your shoppers.

We will review why the quizzes are effective and provide insights into how these brands built them.

Example #1: Rad Power Bike’s Product Quiz

Rad Power Bikes is an online retailer that sells e-bikes.

Buying an e-bike is not easy, as shoppers must consider their personal attributes, such as height and bike features.

This is why the brand set up a conversational experience in their store to assist their shoppers in finding the right e-bike for their needs.

Rad Power Bikes utilized Big Sur AI’s Sales Agent (that’s us) to recreate the traditional in-store shopping experience of consumers asking a qualified assistant for advice.

The tool uses natural language processing (NLP) and 

 to converse with their shoppers like a real human.

Here’s what the AI assistant would return as an answer if you ask it to recommend an e-bike for all terrains 👇

This is not where it ends. The conversational experience continues as the virtual assistant nudges the customers to ask for follow-ups.

Rad Power Bikes sees a 12% conversion rate of customers who converse with the AI assistant.

This is a 4x increase from their average conversion rate in their store.

Sephora is an online retailer that set up an interactive e-commerce quiz to help their shoppers find the right skincare routine for their needs.

The brand uses this product recommendation quiz to offer personalized skincare routines, considering skin types, age ranges, and concerns.

After shoppers input their skincare concerns, skin type, and product preferences, Sephora’s quiz generates tailored product recommendations.

Shoppers receive these product recommendations on a category page with set-up filters.

That means the retailer has tied its quiz to its category pages.

Example #3: Dropps’ Laundry Products Quiz

Dropps is a green cleaning company that offers laundry products.

The brand set up a product quiz to help their shoppers discover the best laundry products.

Dropps partnered with ConvertFlow to build an interactive product quiz that asks multiple questions that consider:

The customers’ challenges when doing laundry.

Additional questions, such as if shoppers have small kids or pets.

Before the brand gives away the results, it asks for an email address to send them to, which is a smart lead generation strategy.

The results themselves are personalized laundry product recommendations with a one-click add-to-cart CTA.

There’s also the option to set up a ‘’subscribe and save,’’ where the brand can maximize customer lifetime value with repeat purchases.

Example #4: The Hair Shop’s Pop-Up Quiz

The Hair Shop is an online retailer that has set up a quiz on their product pages to help their shoppers find the right shade for their hair.

The journey starts when customers click on ‘’What’s my color’’ on the product pages:

After that, a ‘’Find your shade’’ pop-up will appear, and an interactive quiz will be provided to help you find your color match.

What type of extensions the customers are looking for.

After that, the brand will ask you for your email address to send you your color match.

After customers submit their email, they are shown a color match and some product recommendations.

💡 This is an example of a brand that utilizes customer information and a unique quiz placement to improve its user experience and conversion rate.

Example #5: Chief Nutrition’s Healthy Quiz

Chief Nutrition is an Australian online retailer that sells healthy snacks.

The merchant set up a quiz to help customers find snacks that consider their diet and product preferences.

If there are specific areas of health they want to improve (e.g., energy or sleep).

If they struggle with craving sweet foods or savory foods.

The brand then recommends products personalized to your dietary and product preferences.

To achieve such a brand-consistent quiz, Chief Nutrition partnered with Okendo.

The tool offers a seamless UI, and helped the brand to set up an easy-to-complete interactive quiz.

7 E-Commerce Quiz Examples for Inspiration in 2024

Wondering how you can improve your online store’s conversion rate?

This article will cover ten actionable tips for increasing your e-commerce site’s conversion rate.

E-commerce conversion rate optimization increases the percentage of customers on your website that convert.

Instead of focusing on new client acquisition, you can optimize your conversion rate to maximize the revenue you get per visitor.

Some of the best ways to increase your store’s conversion rate are to set up an AI assistant on your store to help shoppers, add personalized product recommendations, and optimize your product pages.

What is E-Commerce Conversion Rate Optimization & Why It’s Important?

E-commerce conversion rate optimization is 

the process of increasing the % of shoppers on your website that converts.

Improving your online store’s conversion rate is mostly done by improving the customer experience by:

Enhancing personalization (e.g., better product recommendations).

A/B testing landing pages and product copy.

Answer all of your customer's questions before they can make an informed decision.

Instead of constantly focusing on new client acquisition,

 optimizing your conversion rate means that you can maximize the sales you make from your existing users.

10 Ways to Boost The Conversion Rate of Your Online Store

, only 22% of companies are happy with their conversion rates.

We will discuss ten actionable ideas for improving your site’s conversion rate, including case studies, software used, and best practices.

#1: Set Up a Conversational Experience in Your Store To Assist Shoppers

You can set up a conversational experience in your online store to assist your shoppers in choosing the right product for their needs.

Your customers could ask the AI-powered assistant contextual questions about your products from anywhere on your site.

A tool like Big Sur AI (that’s us) can achieve such 

Big Sur AI’s Sales Agent can understand user intent and converse with your shoppers as a human would, 24/7.

 is trained to provide personalized answers based on the information about your products, site content, and each shopper’s engagement with your store.

The software's advice has been optimized for conversions, providing relevant recommendations.

The sales agent then proposes follow-up questions based on data-driven predictions of what would likely lead to a conversion.

Here’s the AI Sales Agent in action ⤵️:

You can set up a chat-based assistant like 

 to provide 24/7 real-time support to prospective customers to recreate the in-store shopping assistant experience.

Rad Power Bikes sees a 12% conversion rate of shoppers who converse with the AI Sales Agent.

This is a 4x increase compared to their a

get insights into the conversion rates of each question your users ask that leads to a conversion.

This will help your marketing team identify the crucial pre-purchase questions interested shoppers ask.

#2: Add Personalized Product Recommendations

You can increase your online store’s conversion rate by personalizing the customer experience with product recommendations.

The recommendation engines use machine learning (ML) to offer products most likely to appeal to each customer.

real-time and personalized to each visitor

, ensuring that your users see the most up-to-date products based on their last interaction.

 show that customized recommendations can make 28% of shoppers more likely to buy a product they didn’t intend to purchase initially.

 like Big Sur AI makes contextual product recommendations based on:

Shoppers’ engagement with your store, such as transactional history.

Information that was gathered through the conversational experience with the AI assistant.

Big Sur AI's product recommendations are broken into three modules:

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Introducing our AI Sales Agent: Increase sales with state of the art AI, tailored for your store