How can e-commerce personalization improve your customer's shopping experience?

The browsing and buying journeys are made more impressionable, enjoyable and even memorable. User engagement, retention and the other conversion metrics would grow and would be sustained. More investments from the platform advertisers would pour in since costs are justified by the ROIs.

Personalization is crucial for resonating with your audience and building a foundation for consumer loyalty, as it makes customers feel understood and valued. By integrating plugins such as Personizely, you can offer a digital version of a personal shopping experience. This plugin offers widgets that adapt based on visitor behaviour—like geolocation, traffic source, shopping cart contents—allowing for dynamic consumer targeting. This approach prevents the bombardment of pop-ups, enhancing user engagement, increasing conversions, and improving the overall shopping experience in your online store.

1) Delight all of your customers by creating tailored marketing campaigns, hyper-personalized content and relevant product recommendations based on customer behaviour. 2) Gain a global, centralized vision of all first-party data from all channels in one single platform so you can see inside the heart and mind of every customer. 3) Track known and anonymous users in real time and take advantage of powerful insights to segment and target specific types of audiences. 4) Define hyper-personalized experiences and communicate with empathy across all channels to turn anonymous visitors into your most loyal customers. 5) Analyze, compare, understand and use AI-powered technology so you can predict the future of your business.

Imagine a customer who frequently purchases running shoes from an e-commerce website. With power of merchandising content & targeting campaigns, the platform can suggest related products such as running gear, fitness trackers, or nutrition supplements based on the customer's interests and past purchases. This tailored approach makes the shopping experience more convenient and relevant for the customer, increasing the likelihood of making additional purchases.

Personalisation brings to the user: -Relevance by suggesting what they actually want & other similar choices, cutting down the noise & clutter -Engagement by making things relatable & more interesting to the user -Convenience by aligning their search results, user-journey & payment-preferences. As a result, we get better conversions, enhanced customer-experience, cross-category sales, repeat sessions & finally customer-delight!

Let's say a customer visits an online clothing store and regularly browses through the Men's section. With dynamic displays, the website can prioritize showcasing new arrivals or best-selling items in the men's category on the homepage. Additionally, the website might feature personalized recommendations based on the customer's browsing history, such as displaying Clothes or accessories similar to ones they've previously viewed. By dynamically adjusting the display to match the customer's interests, the website creates a more engaging and personalized shopping experience, ultimately leading to higher customer satisfaction and retention.

Many people don't have time to manually merchandise their full product inventory, and also the recommendations you choose may not be the same taste as your individual customers. There are many low-cost ways to remedy this. Tools such as Salesfire (others available) can be added to an ecommerce platforms via 1-click install. And they leverage ai and consumer data to automatically merchandise and make product recommendations. This means a website is unique to each user, and saves ecommerce business owners hours in wasted time manually merchandising inventory. This is particularly useful if you stock a large or fast moving range of products.

Dynamic displays in e-commerce enhance the shopping experience by personalizing the visual layout based on individual user behavior and preferences, much like a physical store tailors its display to attract customers. As shoppers navigate an online store, the technology adapts the featured products, banners, and overall site presentation to align with their interests and past interactions. This not only makes the site feel uniquely customized for each visitor but also streamlines the discovery process, helping customers find new products that align with their tastes more efficiently. Such personalization fosters a deeper connection with the brand and can significantly increase customer satisfaction and loyalty.

Las pantallas dinámicas tienen relación con el punto anterior (la personalización). Claramente para poder implementar pantallas dinámicas hay que contar con tecnología tanto en el back como en el front de la experiencia del cliente con el sitio de ecommerce. En el back tecnología como un DMP es imprescindible para poder recolectar data para posteriormente realizar las sugerencias o predicciones de productos o servicios. Que se verán en el front con la tecnología adecuada. Desde el punto de vista del usuario al poder entregar experiencias dinámicas y únicas evoca la familiaridad y refuerza la confianza (factores sicológicos).

An excellent search can make the difference to the success of an online shop. Nothing is more frustrating for the customer than when he has entered the search term supposedly correctly, but the result does not throw out the desired products. Or the Faceted Search gives results that should not be displayed in the customer's understanding. Search is a great use case for a AI solution. There are already many solutions on the market that can be easily integrated and achieve exceptional results. Customers and companies both benefit here.

The integration of a feed management and PIM system is crucial to improve the predictive search of an online shop. A feed management system enables the continuous updating of product feeds, which means that the predictive search is always based on up-to-date data. A PIM system ensures the consistency and quality of product information, which increases the relevance of search results. By integrating these systems, companies can offer a personalised search by linking customer profiles with product information. In addition, the optimisation of product data by the PIM system enables a more precise interpretation of search queries and a corresponding adjustment of results.

Most ecommerce platforms come with a basic and/or poor search as standard. In order to add things such as predictive search you will typically need to add a third party search provider such as Salesfire, Klevu, Doofinder or Searchspring. These are easily accessible via your ecommerce platforms marketplace and can usually be installed via a 1-click install. Case studies have shown that an advanced search can make a huge difference to conversion rates.

Predictive search in e-commerce enhances the shopping experience by anticipating user needs in real time. As shoppers type into the search bar, algorithms analyze the input alongside historical data and current trends to suggest relevant products or categories. This technology speeds up the search process and introduces shoppers to items they might not have otherwise considered, making the shopping experience more efficient and exploratory. By reducing the time and effort needed to find products, predictive search streamlines the shopping journey, making it smoother and more satisfying for consumers.

Imagine a search bar that reads your mind (almost!). Predictive search anticipates your needs, suggesting products based on what you type and your past behavior. No more endless scrolling! This time-saving feature helps you discover new favorites and find exactly what you're looking for, making online shopping a breeze.

Together with key pillars in marketplace model as platform and logistics, payment is also the backbone. Imaging that how hard that you convert the buyers from View --> Click --> Engagement (interact to have more infor) --> then now they "Order" but cannot enjoy Seamless Checkout, it's definitely a waste. Nowadays, in B2C platforms, BNPL is also supported to encourage buyers not to abandon their cart. On behalf of platform, controling well on the E2E flow with balance between key pillars is extremely important. It's not only burning money to aqquire more "exposure, buyers (DAU, MAU)", but also creating a good ecosystem serving the shopping journey to make the order happen.

To improve the checkout process, consider accepting multiple payment methods, offering BOPIS, upgrading to a line-busting POS, and streamlining the flow. Optimize the user interface, provide trust signals, and offer multiple payment options. Reduce friction and distractions, and continually test and optimize the process to increase conversions and customer satisfaction.

In a world filled with a plethora of options, humans have grown accustomed to being spoiled by the online industry. Everything is made easy and personalized to make us feel special. However, a seamless interaction and online experience still remain the key to standing out. The difference between a high abandonment rate and consistent traffic that translates into sales is the speed at which a client can gain access to the item or items they desire. Seamless interaction is crucial to providing instant gratification.

Personalisation also means offering local payments and secondary payment options such as Amazon, Google, PayPal and Klarna. Failure to offer a user choice and clarity at the checkout, can result in cart abandonment.

E-commerce personalization enhances the shopping experience by mimicking the personal touch of in-store interactions in a digital setting. Strategies include tailored content based on user behavior, dynamic displays, predictive search, seamless checkout, targeted retargeting, and loyalty rewards. These elements make shopping more intuitive and engaging, significantly boosting customer satisfaction and loyalty. By ensuring every step from visit to post-purchase is optimized, e-commerce personalization transforms how customers interact with and value online platforms.

It’s like a friendly tap on the shoulder, saying, ‘Hey, remember those sneakers? They’re still waiting for you.’ It keeps your brand top-of-mind and nudges potential buyers toward the checkout. In today's cluttered digital space, effective retargeting isn't just about visibility; it's about resonance. By strategically placing reminders in the digital pathways of consumers, brands can create meaningful touchpoints, guiding them towards confident purchase decisions.

Personalization is the ONLY way to retarget effectively. There are many ways you can personalize, here are the basics: - Dynamic product (including the product of interest for the customer to increase relevance) - Timing (leveraging a sales event such as BFCM which is happening right now) - Customer Behaviour (based on specific actions- did they complete a purchase, or merely add to cart. We should customize the content based on the intent and actions users have taken).

The key to Retargeting is to match personalized creative and copy to the time between the last interaction. To do this, you want to break your customer into these groups Engagement - anyone that has engaged with you but never been to your website Website visitors - users that have been to your site but didn’t do anything (bouncers) View Content - users who viewed an item or specific page Add to cart - users to added to cart Previous purchases Break these groups out by 1-7, 8-30, 30-90, and 90-180 days with specific creative and copy Test and measure each of these audiences with personalized ads and see what works best! Always make sure to not over saturate these audiences and don’t spend a lot of money. Be efficient here.

Cuando hablamos de retargeting no hablamos, estrictamente, de personalización, ya que se le muestran a los usuarios esos últimos productos que éste visualizó en un e-commerce. Blueknow, en el pasado, fue un paso más allá, a partir de una colaboración con una empresa de retargeting, para mostrar, en lugar de los últimos visitados, mostrar productos relacionados con dichos productos. La conversión se incrementó alrededor de un 5%, quizás no suficiente. El nuevo escenario que queremos trabajar es canalizar la recuperación de carrito a través del retargeting. Es decir, mostrar productos aún más relevantes al usuario, y permitir que este aterrice en su carrito desde un banner de retargeting. ?Suena bien?

Personalized Ads: By tracking customers' browsing behavior, Amazon/Flipkart can deliver personalized Display ads tailored to their interests and preferences. For example, if a customer abandons their shopping cart without completing a purchase, they may receive targeted ads featuring the products they showed interest in, enticing them to return and complete the transaction. Customized Offers: Retargeting efforts can also involve sending customized offers or promotions to customers based on their past interactions with the brand. For instance, a customer who frequently purchases skincare products may receive a personalized prompt with a special discount on their favorite brand of moisturizer, encouraging them to make another purchase.

Loyalty programs such as collecting points and memberships are offers that continue to inspire customers in the long term. In the online world, which often feels anonymous, we offer the customer a sense of recognition. It's as if he's greeted by name at the bakery around the corner and gets a croissant for free because he buys his breakfast there every day. The customer feels rewarded for their loyalty and is happy to shop again. It's even better to not just offer general benefits, but use personalization to provide the customer with tailored rewards that are truly relevant to them.

Loyalty Rewards programs serve as the cornerstone of online customer relationships, offering valuable insights into customer behavior when effectively utilized. One standout feature, common in the US but less so elsewhere, is the referral program. This aspect is pivotal for expanding the customer base with high-quality leads, supported by existing customers. However, for this strategy to succeed, providing an excellent customer journey is imperative to cultivate promoters effectively.

One thing a lot of brands miss with loyalty programs is if it actually makes sense for you. If your customer is already coming back on a regular basis, then loyalty can eat into your margin. Loyalty should be introduced if you want to increase the LTV for your customers and keep them for a long time. We worked with a local Chocolate store with 29 locations. They had a loyalty program for 25 years. Over the years, the slowly made the offers less and less until they finally got rid of it. The year they removed their loyalty program their profits rose 12%. They had already built their business and loyalty for 50 years in the community. Again, this is not for every brand and loyalty can be great for new emerging brands!

Loyalty rewards programs are the digital world's way of saying "thank you" for your patronage. By tailoring rewards to your shopping habits, e-commerce platforms can offer perks such as discounts, early access to sales, or exclusive products that feel handpicked for you. These incentives not only enhance your shopping experience but also foster brand loyalty. You're more likely to return to a store that recognizes and appreciates your business with personalized rewards that align with your preferences. This strategic approach helps brands build a loyal customer base by making shoppers feel valued and understood.

Loyalty rewards programs are like getting a virtual hug from your favorite brands. They're all about saying 'thanks' for your support in a way that feels personal. Imagine scoring discounts, early sale access, or even exclusive goodies that match your shopping style—it's like the store knows you inside out! And beyond just making your shopping trip sweeter, these perks build a real bond. When a brand goes the extra mile to treat you like a VIP, you're bound to keep coming back for more love and loyalty.

E-commerce customization can enhance the customer shopping experience by personalizing product recommendations, tailored promotions, and user interfaces based on individual preferences and behaviors. It can also streamline the checkout process, offer relevant search results, and provide dynamic pricing based on factors like past purchases or geographic location. Overall, customization creates a more personalized and engaging shopping journey, increasing customer satisfaction and loyalty.

En pleno boom de la IA generativa, la personalización debe ir, forzosamente, ligada a esa Inteligencia Artificial. Desde Blueknow hemos apostado por la hiper-personalización de la recuperación de carrito, basándonos en IA generativa. En este tipo de campa?a, lo normal es recibir un email cuyo subject es igual para TODOS los usuarios, salvo si se incluye el nombre de pila, que introduce un sutil matiz de personalización, aunque en esencia el subject es el mismo para todos. Esa hiper-personalización consiste en enviar un email con un subject diferente para cada usuario, basado en los productos que éste abandonó y utilizando una situación cotidiana para abordar la venta desde el punto de vista EMOCIONAL. IA rocks! IA personalises!

Mystery shop your own site, and make a note of each touch point where the messaging was system generated. Go through each of these touchpoints and adjust the tone to make it personal to your brand. A common one that gets missed are the system generated emails which include things like: - password reset - newsletter sign up - user registration - order confirmation - order processing - order dispatched Edit these stock email templates with your own style and tone to make them unique to your brand. And also consider adding additional sales messages, contact info, review requests or refer a friend within these emails.

Drawing from my experience, genuine personalization fosters customer loyalty, yet scaling this approach can pose challenges. Careful consideration is warranted regarding automated programs promising personalized journeys. Many inadvertently diminish customer confidence due to numerous errors in predicting behaviors.

Personalisation needs to be done tastefully and cautiously. Too much of personalisation can also lead to cluttered screens with choices of past limiting the options for new. Also, the personalisation has to consider not only like items but cross selling products, price drops on wish-list/ abandon cart items and availability of user Size/ Color for suggested items. The balancing of all with space for exploration is what the intended goal should be according to me.