The Fast Lane
Discover the world of AI-driven shopping optimization and fast-track your way to increased conversion rates, AOV, and customer loyalty. Explore expert insights on e-commerce personalization, merchandising, site search, and more.
MarketingGet Inspired: 5 Email Remarketing Campaign Ideas That Really WorkDid you know that almost 70% of eCommerce shoppers abandon their carts? But email remarketing campaign ideas can successfully work to fix this and help you get inspired. Also referred to as email retargeting, this strategy involves sending personalized emails to customers and leads who have become inactive. It can be a successful tactic to recover lost sales. For instance, a study shows that cart abandonment emails led to a 24.87% conversion rate.
So, let's look at five remarketing email campaign ideas you can try today.
1. Abandoned Cart Reminder
An abandoned cart strategy is essential to reeling in shoppers who never finished the checkout process. When you do it right, an abandoned cart email can remind customers of what they're missing and entice them to complete the purchase, increasing your sales and conversions.
Here are some tips for crafting an abandoned cart email:
Use persuasive copy that shows personality.Leverage email marketing tools like Klaviyo.Include product images.Create a sense of urgency.Give a clear call-to-action (CTA).Send in a timely manner—ideally within 24 hours of abandonment.Include customer reviews for the item(s).
Let's look at an example. Food 52 sends a short and sweet abandoned cart reminder. It has a light and casual tone, showing a photo of the item that's in the shopper's cart to remind them of what they were looking at. The CTA button takes them straight to the cart to finish checkout.
2. Win-Back Campaign
A win-back campaign is a type of retainment remarketing email that aims to "wake up" and re-engage an inactive customer (typically someone who hasn't made a purchase in 3 to 6 months).
These emails usually draw the customer back in with a special offer, promotion, discount, or simply a reminder of what's on offer. If you do it right, you can boost your sales, increase your customer lifetime value (CLV), and improve customer experience.
Some tips include:
Try sending between 3 to 6 emails, spaced out every 1 to 3 days.Create a sense of urgency for them to act now.Be direct and concise.Offer a clear CTA for their next steps.Use branding and imagery, including product photos.
In this example, beauty brand Aillea sends a friendly, broad win-back email to an inactive customer, encouraging them to browse more products. This method can also utilize personalization, as you can use the customer's interests based on previous purchases.
3. Post-Purchase Upsell
Upselling is an extremely valuable eCommerce merchandising technique for growing your average order value (AOV) and overall revenue.
Post-purchase upselling involves suggesting an "upgrade" from what a customer has just purchased.
Your approach should be methodical. In your upsell offer, consider products that are related to the most recent purchase.
To send a great post-purchase upsell email, you can use these tactics:
Try including the upsell offer in the customer's order confirmation email.Personalize the recommendations based on the user's purchase history.Use a simple, clear CTA.Include discounts and special offers to sweeten the deal.Add social proof for the recommended products, like customer reviews.Include visuals like branding and product images.
For instance, viral men's hygiene brand Dollar Shave Club takes advantage of the period right after a purchase, offering to toss more items into the customer's package before it's shipped.
» Want to know more? Find out the benefits of upsell and cross-sell personalization
4. Limited-Time Offer
A limited-time offer can cover any type of occasion, from a holiday sale to a product launch celebration to a "just because" personalized special offer.
The important factor is that you're prominently showcasing the value and the expiring time period of the offer so customers know exactly what to expect.
For a strong limited-time offer, check out these tips:
Be clear about the offer and how long they have to buy.Use standout graphics and colors to illustrate the offer.Include visuals like branding and product photos.Create a compelling CTA.Personalize the offer to your customer base if possible.
In this example, Targus, a computer accessory online store, uses bright CTAs to highlight what the offer is (15% off), where to purchase, and how long the offer is available ("Today"). Also, with a clear copy ("limited edition"), the brand also implies a sense of exclusivity, which can encourage conversion.
5. Product Recommendations
With the help of sophisticated algorithms, personalized product recommendations can be tailored to better match shoppers' intent. This strategy uses customer behavior data, like browsing and purchase history, as well as data from other customers with similar habits.
Here are some ways to use customer data to fuel product recommendations:
Suggest similar products to those already purchased.Show an additional product that's frequently bought together with a recent purchase.Highlight the most popular and best-selling products.Break up the most popular products per specific category.Push top-selling products based on lookalike audience segments.Remarket products recently viewed by the consumer.
Take the fashion brand Princess Polly as an example. This brand suggests items that are similar to ones you've viewed or purchased, plus extra items you can purchase to "complete the look". This encourages additional purchases and shows personalized attention, which can help boost retention.
» Learn why personalization for large audiences through anonymous data works
Fast-Track Your eCommerce Sales
If you're trying to find new ways to captivate customers, these email remarketing campaign ideas may be the tools you've been looking for. When you thoughtfully re-engage your current leads and customers who have gone stagnant, you can help create long-lasting relationships. This, in turn, can boost sales, customer retention, and the overall success of your business. So, why not try these ideas?
PersonalizationB2B vs. B2C Personalization: 5 Key DifferencesPersonalization is non-negotiable for online shoppers. If more than half of your customers want a curated shopping experience, then it's essential to get it right. But where should you start? It's all about context. B2B (Business-to-Business) vs. B2C (Business-to-Customer) personalization can help you understand what your customers are expecting and find the right approach to meet those expectations. Below, we take a look at the differences between B2B vs. B2C personalization so you can develop effective personalization strategies.
5 Key Differences Between B2B vs. B2C Personalization
Audience characteristicsRelationship buildingPersonalization methodsData collection and analysisMetrics and ROI
1. Audience Characteristics
When trying to evaluate the characteristics of your audience, you'll need to look at some critical categories like buying habits, decision-making processes, and expectations.
B2B
A B2B audience is more relationship-driven. You don't just focus on logic and numbers. You also need to build a sense of loyalty and trust. This means that a B2B purchase cycle may take weeks, months, or even years, depending on what's being purchased. Plus, this decision might involve multiple stakeholders, so you'll need to build relationships with all of them.
B2C
In contrast, a B2C audience is more product-driven. This means you'll need to focus more on selling the value of the products while appealing to emotion and using easy-to-understand language. A B2C shopper also has a much shorter purchase cycle than a B2B buyer, especially if the item is relatively inexpensive.
2. Relationship Building
To build long-lasting customer relationships, you'll need to be trustworthy, reliable, and consistent, no matter who your customers are.
B2B
Building on our previous point, the relationship-building process should be more in-depth in a B2B environment. These customers have higher expectations for what you're bringing to the table and how you show up. After all, you're not simply selling a product—you're giving expert advice and delivering custom solutions for specific business challenges. This means your communication with B2B customers will also be more intimate via meetings, calls, or email exchanges.
Pro tip:
If you have a sales team that speaks directly with buyers, we recommend using a customer relationship management (CRM) platform to keep track of critical details, like who you're speaking with, what you're discussing each time you engage, and how the purchase is moving through the pipeline.
B2C
Your customer relationships aren't necessarily as intimate as those in B2B. Because you're serving a larger audience, you communicate with your customers all at once via different digital channels like websites, mobile apps, and social media. Your focus is also to build trust with your audience and demonstrate why your brand and products are better than your competitors.
Pro tip:
Build credibility and social proof with reviews, surveys, and user-generated content.
» Delve deeper into how user-generated content creates conversions and increases brand loyalty
3. Personalization Methods
All audiences, regardless of who they are and what they're buying, want to see information that's relevant to their wants and needs.
B2B
In the B2B world, your personalization methods must be focused and relevant to the customer's industry and business model. The average B2B buyer will read 13 pieces of content before deciding which vendor they'll go with. On the other hand, someone buying a case for their iPhone likely won't be doing such thorough research. This means proving your credibility and value in different ways, including:
Showcasing your expertise through reports and research.Establishing your customer service through case studies and customer testimonials.Offering dynamic pricing structures and product packages to meet customer needs.Assigning a specific account manager to offer personalized advice.
B2C
Because B2C has a shorter purchasing cycle than B2B, you're trying to encourage customers to buy now. Plus, if they had a pleasant shopping experience, they'll come straight to you next time instead of browsing competitors. You can personalize the B2C shopping experience by:
Making personalized product recommendations and taking advantage of upsell and cross-sell opportunities.Offering personalized pricing strategies.Giving custom rewards through loyalty programs.Using behavioral retargeting to showcase tailored ads.
» Find out how to create the best personalization experience on your eCommerce store
4. Data Collection and Analysis
While both B2B and B2C businesses use strategies like website tracking (e.g., Google Analytics) and third-party data sources, their data collection and analysis differ in terms of volume, complexity, sources, and goals.
B2B
While B2B has a lower data volume, its data collection and analysis are more intricate and detailed. Because the goal is to build long-term relationships with customers and offer personalized business solutions, you must collect detailed information about your business customers' companies. You can collect data from:
Account management platforms.Customer support systems.Email exchanges.Interactions with multiple role-players in the business.
B2C
B2C has a large data volume because it serves a large customer base made up of multiple individuals, each with their own needs and preferences. To offer personalization to a large audience and improve their shopping experience, you need to divide your audience into segments—for example, according to behavior or demographics. But before you can segment and analyze data, you have to collect it from the right sources:
Customer interactions on your website.Customer activity on social media.Customer feedback through reviews, surveys, comments, or emails.
» Use these customer segmentation strategies to grow your eCommerce business
5. Metrics and ROI
Both B2B and B2C businesses must measure the effectiveness of their personalization strategies to identify areas for improvement and optimize future campaigns.
B2B
Because B2B transactions have longer sales cycles and more complex decision-making processes, the metrics you track focus on monitoring the different stages of your sales pipeline. This can include lead-to-opportunity conversion rates, average deal size, sales velocity, and win/loss ratios to understand and improve your sales performance.
Additionally, you'll calculate ROI (Return on Investment) at the account or customer level because you're aiming to establish long-term relationships. You'll look at factors like revenue generated, margins, and the costs associated with acquiring, serving, and retaining customers.
B2C
In comparison, because B2C has shorter sales cycles, you'll look at metrics that focus more on immediate customer actions. This can include conversion rates, average order value, and repeat purchase rates.
When calculating ROI in B2C, you'll focus on specific campaigns, channels, or marketing initiatives and their impact on sales, conversions, and customer acquisition costs.
The Fast Lane to Personalization
To successfully implement personalization and effectively engage and retain customers, it's critical that you understand the key differences between B2B and B2C audiences.
Just keep in mind that you'll likely need to experiment until you find your perfect combination of strategies. Create a plan, test your personalization strategies, and analyze your performance. Once you've found your personalization sweet spot, you can effortlessly grow your eCommerce business.
» Discover more ways personalization can help your business
Personalization6 Benefits of Using AI in eCommerce PersonalizationPersonalization is here to stay. Up to 63% of your customers expect personalized recommendations from you. This might feel like a lot of pressure, but you can easily tick all the personalization boxes by incorporating AI into your personalization strategy. This means using capabilities like machine learning, natural language processing, and predictive analysis to give your customers personalized product recommendations, emails and messages, social media content, and more. Below, we discuss the benefits of using AI in eCommerce personalization to help you take your store to a new level.
6 Benefits of Using AI in Personalization
Enhanced customer experienceIncreased customer loyaltyImproved sales performanceCost savingsCompetitive advantageScalability
1. Enhanced Customer Experience
Happy customers are more likely to return, leave positive reviews, and recommend your business to others. AI can help you create an exceptional customer experience by:
Making data-driven recommendations
AI can provide personalized recommendations based on a customer's browsing and purchase history, making it easier for customers to find the products they want.Offering personalized customer service
Personalized chatbots can elevate your customer service. Available 24/7, chatbots can instantly answer customer queries and provide support when your customers need it. This quick and seamless experience can boost customer satisfaction.
By enhancing customers' experience with AI, your eCommerce business can build long-lasting relationships with customers, driving revenue and growth.
» Boost your chatbot service by including ChatGPT in your eCommerce strategy
2. Increased Customer Loyalty
Customer loyalty is important to any eCommerce business because it leads to:
Repeat businessPositive word-of-mouth marketingHigher lifetime value for each customer
AI-powered personalization can help you increase customer loyalty by:
Offering personalized rewards
AI can help you improve traditional loyalty programs by giving your customers personalized rewards based on their behavior. By analyzing past purchases and overall engagement, AI can work out which rewards are best suited for each customer.Interacting with customers in real time
AI-powered systems can monitor store and customer activity in real-time. So, if a customer has added products to their cart but isn't completing the purchase, AI can immediately react. By offering a limited-time discount or personalized reward, AI can encourage the customer to finish their buying journey.
These personalized interactions with your customers not only encourage them to make more purchases but also make them feel valued and appreciated.
» Enhance your customer interaction by understanding the difference between personalization vs. customization
3. Improved Sales Performance
AI-powered product recommendations and upselling and cross-selling opportunities can significantly improve your business's sales performance.
Upselling
AI can analyze customers' browsing and purchase history so it can recommend relevant products to upsell. For example, if AI picks up that a customer is buying the individual components of a specific product range, it can upsell the entire bundle as a complete set.Cross-selling
Similar to upselling, AI can use customer data to cross-sell relevant complementary products to customers. For example, if AI notices that a customer is browsing your store for a new camera, it can suggest a compatible tripod when the customer checks out. So, AI will also be able to determine at what stage of the sales funnel it's best to cross-sell.
» Explore additional benefits of upsell and cross-sell personalization
4. Cost Savings
AI can be a cost-effective solution for eCommerce businesses because it automates their personalization efforts and eliminates the need for manual labor in many cases.
Sephora: Your Personal Makeup Artist
Sephora uses an AI-powered app to help customers with product recommendations, beauty advice, and easy shopping. But the app's most interesting feature is the Virtual Artist. Its AI capability allows the customer to "try on" different beauty products, play with different looks, and follow makeup tutorials for their face shape and skin type. AI allows Sephora to put a 24/7 makeup expert in their customers' pockets—reducing costs associated with sales reps, overheads, and product samples.
5. Competitive Advantage
When you use AI effectively, you can set yourself apart from your competitors. This isn't just in terms of customer experience but also making sure you stay ahead of trends.
H&M: Predicting Personalization to Stay Fashion Forward
H&M uses AI to predict fashion trends by analyzing large amounts of data from search engines and blogs. The algorithms inform decisions such as how much to buy, when to buy, and where to place products in stores. This helps to reduce waste and make more sustainable decisions. H&M's data-driven approach gives them a competitive advantage, allows them to stay ahead of trends, and provides customers with what they want.
6. Scalability
The culmination of all the AI benefits discussed so far can help you scale your personalization efforts and, ultimately, your business. By processing large amounts of data and providing real-time recommendations, you can personalize the shopping experience for each customer. AI can help you identify patterns in customer behavior and preferences, enabling you to make data-driven decisions about which products to offer, how to price them, and how to promote them.
Use AI to Personalize Your Site Fast
AI can bring significant benefits to your eCommerce personalization strategy. You can:
Provide an enhanced customer experience.Increase customer loyalty.Improve sales performance.Save costs.Gain a competitive advantage.Achieve scalability.
However, it's important to remember that your store is unique. Consider carrying out A/B tests to find out what's the best way for your business to incorporate AI into your personalization strategy. Once you're in the right groove, you'll grow your eCommerce store in no time.
» Incorporate AI into your customer communication: Here's how to use AI in personalized email marketing and to optimize social media
Personalization5 Elements You Should Personalize in Your eCommerce Store (+ Examples)In today's eCommerce landscape, personalization is no longer a luxury but a necessity. By personalizing your eCommerce store, up to 80% of your shoppers are more likely to buy. But you need to make sure you personalize the right parts of your customers' online shopping experience for it to be effective. In this post, we'll explore the top 5 elements (with examples) you should personalize in your eCommerce store.
5 Elements to Personalize in Your eCommerce Store
HomepageProduct recommendationsEmail marketingCustomer account pageCheckout process
1. Homepage
Your homepage is the first thing your customers see when they visit your website. It's your storefront; it needs to be inviting, engaging, and tailored to your customers' needs. That's where personalization comes in. A personalized homepage is essential for your eCommerce business because here you can showcase products and content relevant to your customers, increasing the likelihood of them making a purchase.
Amazon: Bringing Personalization Home
One of the best examples of a personalized homepage is Amazon. By using customer browsing and purchase history, Amazon offers every individual customer a personalized experience. This makes it easier for customers to find what they're looking for.
For example, the non-personalized homepage contains general content: banners for newly released movies, daily deals, and suggested gifts for Mother's Day. None of these offers are tailored to the customer. But the personalized homepage encourages the customer to "pick up where [they] left off", "keep shopping", or "buy again". The customer can easily complete their purchase or repeat it without starting their shopping journey over.
Not Personalized
Personalized
» Does your homepage need more refinement? Follow these best practices for promotions on your homepage
2. Product Recommendations
Personalized product recommendations are a great way to enhance your customers' shopping experience and increase sales—they can make up 31% of your revenue. By using customer browsing and purchase history, you can tailor products to your customers' needs and preferences. This way, you also create upsell and cross-sell opportunities because your customers may discover new products they would've otherwise overlooked. For example:
Use their recent search history: If a customer has been searching for running shoes, recommend running accessories or clothing.Use their purchase behavior: If a customer has been purchasing skincare products for acne, recommend a relevant skincare product that's recently been added to your store.
Netflix: Personal Recommendations For You
Netflix uses customer data such as viewing history, search history, and even time of day to recommend personalized content to their customers. This includes suggesting top picks for each customer, encouraging customers to finish watching content, and allowing customers to compile their own lists of their favorite movies and shows for easy reference.
3. Email Marketing
Email marketing is a powerful tool to connect with your customers and drive sales, but a generic email blast to your entire email list may not be effective. Instead, personalized emails get more engagement because they feel more relevant and personal to the customer. Emails with personalized subject lines have open rates 20% higher than those with generic or static subject lines.
You can use customer data such as browsing and purchase history, preferences, and behavior to create personalized email campaigns. For example:
Send personalized product recommendations based on a customer's browsing or purchase history.Send exclusive deals and offers based on specific customer segments.
Birchbox: Personalized Communication From the Start
Birchbox takes personalization very seriously. In fact, they've built their business philosophy on it by putting customers in control of what they receive in their beauty box. This also extends to their email campaigns. Birchbox emphasizes personalized communication already from their signup form to collect customer emails.
» Learn how to improve your personalized email marketing with AI
4. Customer Account Page
The customer account page is an important touchpoint in the customer journey. This is where customers can manage their orders, view their purchase history, and update their personal information. This page is all about the customer, so you can improve their user experience and increase their loyalty by personalizing its content with relevant product recommendations, insightful social proof, and custom rewards or discounts.
Sephora: Accounting for Personalized Customer Experiences
Sephora has a rewards program called Beauty Insider. One of its perks includes receiving a free beauty gift of your choice (as opposed to a general gift chosen by Sephora) plus free shipping. During your birthday month, a banner will appear on your account page to remind you to choose your gift.
5. Checkout Process
The checkout process is the final step in the customer journey and can make or break a sale. Personalizing the checkout process can reduce cart abandonment and increase sales by providing a more convenient experience for your customer. For example:
Reduce the time it takes your customer to checkout by offering the option to save their payment and shipping information.Personalize payment and shipping options according to the customer's location and preferences.Create upsell and cross-sell opportunities by offering personalized product recommendations.
Princess Polly: Making Customers Feel Like Royalty
Princess Polly personalizes the checkout process for their customers at two points. Firstly, when you view your shopping cart (or "bag", as Princess Polly calls it), the store recommends additional products that will complement your purchase. Secondly, you receive a personalized discount that you can either claim or reject. In this case, the store knows you're a new customer and haven't joined their mailing list yet, so you can claim 20% off your purchase by signing up.
» Explore more ways upsell and cross-sell personalization can benefit your eCommerce business
Do It the Fast Way
Personalization is crucial for your eCommerce business. It can have a significant impact on your customers' shopping experience and overall sales, but only if you personalize the right elements of your eCommerce store. The key is to understand your customers and use their data to create relevant, personalized experiences that make them feel valued and appreciated. In turn, this can lead to building long-term customer relationships and repeat business.
» Review these top eCommerce websites to help you create exceptional customer experiences
MerchandisingTransforming eCommerce Merchandising With AI: 6 Strategies and Tips for SuccessIt's estimated that by 2032, the eCommerce AI market will reach a staggering $45.7 billion. Brands are increasingly recognizing the transformative power of AI, starting with their customer experiences.
Integrating AI into online merchandising practices unlocks a store's potential for improving the shopping experience, nurturing customer relationships, and driving sales. Here are six strategies and tips on using AI to transform your eCommerce store's merchandising.
6 Ways to Transform Your eCommerce Merchandising With AI
Harness AI for personalized product recommendationsOptimize pricing with AI dynamic pricingStreamline inventory management with AI forecastingEnhance visual merchandising with AI image recognitionOptimize customer service with AI chatbotsLeverage AI for sentiment analysis and customer insights
1. Harness AI for Personalized Product Recommendations
AI is revolutionizing the way companies offer personalized product recommendations. Using smart algorithms, AI tools are able to analyze vast amounts of customer data, such as purchase patterns and browsing history. This information allows businesses to leverage personalization and enhance the post-purchase experience.
Some benefits of using AI for personalization include enhanced customer experience and improved conversion rates.
Pro tip:Use an AI-powered recommendation tool to provide personalized and valuable suggestions to shoppers. For instance, the online clothing retailer, Fashion Nova, uses Fast Simon's personalized recommendation engine to display the best items based on site search queries, purchases, and other behavioral data.
» Learn why product recommendations require merchandising rules for maximum returns
2. Optimize Pricing With AI Dynamic Pricing
Have you ever heard of the Amazon effect? It's essentially the continuous adjustment of prices to outpace competitors and maximize profits. AI can help you replicate this effect by implementing dynamic product pricing.
This means that AI can analyze your product's demand and adjust prices in response to market shifts. This approach offers several key benefits, including maximizing average order value and improving cash flow.
Returning to our example of Amazon, they're estimated to change the price of their products 2.5 million times a day, which has helped increase their profits by 25%. How do they achieve this? Using AI to track and analyze vast amounts of data, like inventory levels, shoppers' buying and browsing history, and competitor pricing.
Pro tip:Utilize AI-driven pricing algorithms, like predictive analytics software, to dynamically adjust prices and optimize revenue. These algorithms analyze diverse data sets in real time, providing accurate pricing models aligned with customer preferences.
3. Streamline Inventory Management With AI Forecasting
It goes without saying that optimizing stock levels is one of retail businesses' top priorities. AI is a key tool in this regard, reducing the costs and time associated with inventory optimization.
AI algorithms analyze historical sales data, market trends, and external factors to accurately predict future demand. For instance, they can forecast whether your best-sellers have low or high inventory.
This allows you to make informed decisions regarding their placement. It also helps to ensure that you have sufficient stock to meet customer demand while avoiding inventory depletion. As a result, you'll save valuable time and resources that you can allocate toward other critical areas of your business.
Pro tip:Implement AI-powered inventory management systems to forecast demand and ensure optimal stock availability. These systems automatically update inventory as new products arrive, existing ones sell out, and new eCommerce trends emerge.
4. Enhance Visual Merchandising With AI Image Recognition
Visual merchandising is the new way for stores to promote their products. It involves using rich imagery to promote and display products at their best. However, the images must be properly optimized and easy to navigate.
That's where AI comes into play. Using image recognition technology, the tool improves visual merchandising by automatically tagging and categorizing product images. Accurate product categorization leads to better merchandising and intuitive customer navigation.
Pro tip:Use AI visual discovery to create an immersive shopping experience. With features like auto-tagging and product categorization, shoppers can find relevant products in your store fast. They no longer have to sift through menus to find their desired product/category—visual discovery puts it in front of them.
5. Optimize Customer Service With AI Chatbots
Potential customers may have questions before making a purchase. Answering them instantly can set you apart from others competing for their business, and AI-powered chatbots can be immensely valuable in this regard.
These chatbots enhance customer service experiences by addressing customer inquiries, offering product recommendations, and facilitating seamless transactions. You can configure them to answer customers in your brand's voice as well as connect to a human agent in case someone wants real-time support.
Pro tip:Add AI-powered chatbots to your customer service toolkit. They can free up your time by answering simple questions without intervention. Chatbots are accessible to all shoppers, and even those who aren't tech-savvy can use them without hassle.
The curated shopping membership company, CURATEUR, conveniently offers shoppers customer service even when their support staff is offline. They do this through their easy-to-use AI chatbot, as shown below.
6. Leverage AI for Sentiment Analysis and Customer Insights
Understanding customer sentiment regarding your merchandise is crucial to developing an effective business strategy. Analyzing this can be challenging, but AI makes it much simpler for everyone.
AI can evaluate customer feedback to provide granular insights into their preferences and needs. It can also analyze social media posts' likes, shares, and reactions to understand how customers received them. This can help you determine what customers are looking for and optimize your eCommerce merchandising strategy for the best results.
Pro tip:Use AI sentiment analysis to gain valuable customer insights from interactions. Use them to guide your decision-making, inform product development, and create targeted marketing campaigns. This is just one way AI can improve your conversion rates.
eCommerce 2.0: Using AI to Transform Your Business Fast
When done strategically, AI can drastically impact your brand's performance. If you're looking to grow sales and stay competitive in today's ever-evolving online marketplace, start implementing the six strategies and tips now. AI in eCommerce merchandising isn't just a passing trend—it's a growing practice that will only continue to evolve and revolutionize the industry.
» AI's not only making waves with merchandising. Discover the benefits of AI in eCommerce personalization