Smile.io

JULY 2, 2020

What would your business strategy look like if you didn't have access to any sort of customer data? In short, without understanding your user's key data touchpoints such as demographics, preferences, lifestyles, purchase behaviors, among other things, your brand would be lost in a sea of sameness.

Customer Data 46

Customer Data Live Chat Customer Merchant Services 46

UpSellIt

MARCH 13, 2024

Personalizing Product Recommendations Utilizing Customer Data Personalization lies at the heart of effective on-site seasonal marketing, and leveraging customer data is key to delivering relevant product recommendations. Looking for more spring ideas?

Marketing 128

Marketing Gifts Recommendation Clothing 128

Retail TouchPoints

JANUARY 4, 2023

Beyond the listed menu options, website search bars determine how quickly customers can find specific products and pairings. The search bar can be enhanced with autofill options like “suggested” or “similar” product recommendations. Personalization goes beyond discovery, as well.

eCommerce 261

eCommerce Omnichannel Comparison Shopping Recommendation 261

Omnisend

MAY 24, 2021

The best way to learn about your customers’ preferences and behavior is through customer analytics, which helps to visualize your customer data and allows you to provide personalized, relevant messaging at exactly the right times. But first, let’s take a closer look at what customer data analysis is.

Customer 134

Customer Customer Data Customer Retention Omnichannel 134

ESW

JUNE 6, 2024

Gathering Actionable Return Data The data you collect on returns is only as good as the actions you can take from it. You need to set up robust systems to capture data that are accurate and comprehensive. Comprehensive demographic customer data can also enrich your understanding of return reasons.

Merchant Services 78

Merchant Services Social Media Consumer Electronics Customer Experience 78

ESW

JUNE 4, 2024

Gathering Actionable Return Data The data you collect on returns is only as good as the actions you can take from it. You need to set up robust systems to capture data that are accurate and comprehensive. Comprehensive demographic customer data can also enrich your understanding of return reasons.

Merchant Services 78

Merchant Services Social Media Consumer Electronics Customer Experience 78

Retail TouchPoints

JULY 10, 2023

Generative AI can dramatically improve customer experiences and drive revenue by helping shoppers find the products that most match attributes of what they’re looking for today, not just what they have purchased in the past. It leverages hyper-localized search combined with millions of product attributes to recommend products.

Merchant Services 271

Merchant Services Shipping Costs Retail Social Media 271

Retail TouchPoints

JULY 24, 2023

Retailers also have the opportunity to populate emails with recommendations for items the shopper looked at but didn’t buy, discounts for their favorite products and more. To determine which method will work best for each consumer, retailers must pay close attention to customer data. Yet subject lines are just the beginning.

Small Business Retail 229

Small Business Retail Marketing Retail Social Media 229

Retail TouchPoints

DECEMBER 2, 2020

The solution lies in retailers and brands upping their personalization game through customer data. The more they know about their customers, the more they can provide additional and recommended products on their digital sites and apps. The solution all starts with data.

Payments 199

Payments Recommendation Payment Services Customer Data 199

Optimizely

MAY 19, 2020

Our recommendation: consolidate to a single platform so the emails talk to each other. Brand use a standalone CDP and a separate marketing platform in use for less than 5 total data sources. Our recommendation: W e have seen a spike in consolidation across Ecommerce brands with fewer than five data sources. Consolidate.

Shipping Costs 195

Shipping Costs Live Chat Shipping Payments 195

Dynamic Action

AUGUST 11, 2023

With access to insights from visual merchandising tools, on-demand reports, accessible metrics and customer data insights, you will be equipped with the tools to build a visual and personalized “trading opportunity calendar.” Confidently know how to price and position your products with industry expert recommendations.

Customer 62

Customer Customer Data Recommendation Demo 62

Retail TouchPoints

JUNE 24, 2022

As brands consider whether subscriptions are right for their business and their consumers, Burt recommended that they answer and discuss the following questions internally: What qualifies as a replenishable product for our business? Brands can identify these value drivers by conducting customer interviews and analysis.

Subscription 279

Subscription Beauty and Health Shipping Costs Consumer 279

Kibo

SEPTEMBER 2, 2020

1-to-1 Personalization describes the practice of delivering a unique, optimal digital experience for each customer using all available data from 1st and 3rd party sources. At scale, an engaging, personalized user experience (UX) can lead to better customer retention, recurring sales, and referrals. Product Recommendations.

Recommendation 62

Recommendation Omnichannel Customer Retention Customer Experience 62

Optimizely

JULY 18, 2019

CHICAGO, July 18, 2019 — At the Zendesk Showcase today Zaius introduced Zaius for Service , a new product tailored for online retail service teams to gain full visibility of a customer’s information, behaviors, and needs. During today’s event, Zaius will share the Service-led Retail story on stage at 2pm.

Retail 150

Retail Multichannel Customer Loyalty Recommendation 150

Algopix

OCTOBER 15, 2023

The goal is to create a cohesive and unified view of the customer journey, regardless of how and where customers interact with a brand. Cross-channel tracking relies on the collection and analysis of data from various touchpoints, which are then integrated into a central database.

Channel 128

Channel eCommerce Social Media Customer Loyalty 128

365 Retail

AUGUST 2, 2024

Personalisation AI enables businesses to deliver personalized customer experiences by analyzing huge amounts of customer data. AI algorithms can identify a person’s preferences, purchase history, and browsing behaviour to offer tailored product recommendations, targeted promotions, and customized solutions.

Customer 52

Customer Social Media Telecommunications Omnichannel 52

Steve Dennis

OCTOBER 14, 2024

Our recommendations were thorough and expansive, but we knew we might face resistance. So we dug into customer data and conducted extensive competitive analysis. All were aimed at dramatically improving customer relevance and driving greater profitability. It wasn’t all analysis and experimentation.

eCommerce 88

eCommerce Department Stores Presentation Consumer Electronics 88

Retail TouchPoints

MAY 3, 2023

This translates into using purchase history and customer base membership information to drive marketing campaigns. As we all know, in marketing, the main goal is to know the customer. “By Companies need to reimagine how they manage customer data marts, as these can no longer be manually maintained and managed.

POS 239

POS Customer Experience Customer Technology 239

Retail TouchPoints

JULY 19, 2021

The solution is not simply “more data,” despite what many information providers seem to be pitching. If you need personalized customized data that will generate ongoing quality leads, your best option is to partner with a supplier that can tailor recommendations based on your exact business need.

Marketing 261

Marketing Retail Multi-channel Events 261

UpSellIt

AUGUST 3, 2023

Improved Customer Experience: Segmentation allows businesses to provide personalized content, offers, and recommendations, making the shopping experience more relevant and enjoyable for customers. Ecommerce personalization examples include: Product recommendations based on browsing and purchase history.

eCommerce 109

eCommerce Recommendation Accessories Customer Loyalty 109

Talkoot

FEBRUARY 16, 2023

Brands that aren’t leveraging the technology in at least some of their activities will fall behind–because, let’s face it, manually trying to personalize product recommendations, reach shoppers at scale, and guess how much inventory you need is near-on impossible and rife with human error. billion by 2028.

Retail 78

Retail Customer Loyalty Recommendation Outdoor 78

RetailMinded

JULY 17, 2022

Though AI was used mostly to assist with data analysis, it’s now quickly moving into a new era of personalized customer engagement. Enhancing Customer Engagement . If a customer has purchased a certain type of product in the past, it could be recommended that they buy another one. Market Analysis .

Technology 94

Technology Marketing Recommendation Improvements 94

RETAIL MANAGEMENT SOFTWARE

NOVEMBER 7, 2023

AI algorithms analyze customer data to understand preferences, behavior, and purchase history. This information is then used to tailor product recommendations, marketing messages, and even pricing strategies to individual consumers.

Marketing 95

Marketing Retail Customer Loyalty Games 95

365 Retail

APRIL 19, 2024

Marketing teams can also use Einstein’s predictive analytics tools, such as Einstein Prediction Builder and Einstein Discovery, to forecast customer behavior, preferences, and trends based on the analysis of historical data.

Marketing 52

Marketing Social Media Live Chat Channel 52

Fabric

MAY 2, 2023

A data orchestration layer unifies the data from all these platforms and makes it available for analysis. The control plane can then send this data to the order management system (OMS), which can handle inventory management and process the order and update inventory levels.

eCommerce 246

eCommerce Payment Services Information Management 246

Ecommerce Platforms

MAY 16, 2022

Or, are you, like most ecommerce enterprises, wanting to make the best use of your customer data? It also provides recommendations on keyword optimization, landing page performance, ad optimization, etc. Are you looking for a cloud-based marketing automation solution for your business?

eCommerce 211

eCommerce Shopify Merchant Services Channel 211

Omnisend

JULY 20, 2021

In this article, we’ll go over: What makes a VIP customer. How to identify them using customer data. What Makes a Customer a VIP? You’ll need to perform an RFM analysis (the foundation for Omnisend’s Lifecycle Stages feature) to manually track and assign scores to your customers. Recommendations.

Customer 148

Customer Shipping Costs Social Media Customer Data 148

RetailMinded

MARCH 16, 2024

Retailers are discovering that AI can do more than just data analysis. It’s time to harness AI in ways that directly enhance operational efficiency and customer interaction. Personalizing The Customer Journey With AI Insights Today’s shoppers seek personalized experiences , and AI provides the tools to deliver them.

Retail 98

Retail Point of Sale Operations Technology 98

Algopix

OCTOBER 27, 2023

AI-Powered Customer Service Artificial Intelligence (AI) and chatbots are becoming increasingly sophisticated, and they will continue to transform customer service in eCommerce. In 2024, we can expect AI to handle routine customer queries, offer product recommendations, and even assist in the sales process. Try for free.

eCommerce 118

eCommerce Payment Services Cryptocurrencies Shipping Costs 118

Optimizely

JUNE 12, 2020

Here are two recommendations that require a simple integration between your product catalog, your Ecommerce platform, and your marketing platform: Assume they weren’t totally convinced of the product’s benefits. These final campaigns can only be achieved if you’re using an Activated Customer Data Platform.

Customer Data 195

Customer Data eCommerce Customer Presentation 195

Algopix

JANUARY 22, 2024

Provides referrals/reviews: As brand advocates, they are likely to recommend you to friends or leave positive reviews. Values relationships: Appreciates special perks for being a regular customer. Personalized Communication Use purchase history data to tailor content and product recommendations.

eCommerce 110

eCommerce Shipping Costs Payment Services Social Media 110

BigCommerce

MAY 1, 2018

Data-driven ecommerce businesses regularly measure and improve on the following: Improve shopper analysis. Improve customer service. Personalize customer experience. How to Use Big Data for Ecommerce Business Success. Shopper analysis. Big data is helpful in developing buyer personas or shopper profiles.

Payment Services 412

Payment Services Merchant Services Improvements eCommerce 412

365 Retail

OCTOBER 20, 2021

As it heads into peak sales season, the retail sector is well positioned to maximise on this growth, with additional analysis from Mention Me anticipating 5% more sales on Black Friday this year than in 2020. That’s according to new research from Referral Engineering platform Mention Me, which has analysed online retail sales over Q3 2021.

Beauty and Health 73

Beauty and Health Gifts Online Retail eCommerce 73

Omnisend

JANUARY 8, 2024

Understanding how to get repeat customers can boost your revenue. You can find out who your returning customers are from several sources: Customer data from your CRM system Point of sale data Understanding the value of repeat customers Is learning how to get repeat customers worth it?

Customer 89

Customer Customer Retention Social Media X-cart 89

RTP blog

SEPTEMBER 17, 2018

Customers are quick to sign up, but quickly forget the loyalty program once they get their initial discount, and are far quicker to unsubscribe from email correspondence when bombarded with irrelevant offers. A recent analysis conducted by FiveStars.

Customer Loyalty 150

Customer Loyalty Customer Customer Data Marketing 150

RETAIL MANAGEMENT SOFTWARE

APRIL 24, 2023

Retailers are leveraging data analytics and customer insights to offer personalized and customized loyalty programs that cater to individual preferences and behaviors. By offering personalized experiences, retailers can deepen customer engagement and loyalty, leading to increased repeat business and brand advocacy.

Customer Loyalty 83

Customer Loyalty Customer Retail eCommerce 83

Retail TouchPoints

SEPTEMBER 28, 2021

If you’re going to ask for their email address, explain what they get in exchange, such as better offers and more targeted ads and recommendations. You want to explain that there’s value in that exchange for the data — that they’re not just giving it up for some unknown reason.”.

Consumer 264

Consumer Customer Experience eCommerce Technology 264