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Peapod Partners With Personalized Meal Planner

Peapod, a grocery delivery service operated by Ahold USA, has partnered with DinnerTime.com, a personalized meal recommendation service. DinnerTime.com customizes recommendations based on member households’ tastes, budgets, time constraints, health concerns, food allergies and other dietary restrictions. In the 24 U.S. markets Peapod serves, DinnerTime.com members can get a personalized meal plan and shopping list based on what Peapod has on sale, automatically creating an order for delivery or pickup at one of the 200+ Peapod locations.

“At Peapod, we understand that our customers are not just shopping for ingredients, they’re shopping for convenient meal solutions,” said Carrie Bienkowski, Chief Marketing and Creative Officer at Peapod in a statement. “Partnering with DinnerTime was a natural choice and we’re thrilled to offer its members our service to simplify grocery shopping and streamline their meal planning process.”

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Rue La La Eliminates Data Silos To Kickstart Email Personalization

With 16 million members on its emailing list, e-Commerce fashion retailer Rue La La has a lot of potential shoppers seeking an exclusive experience. Realizing that it needed to tell individualized stories to truly engage these shoppers, Rue La La turned to democratized data warehousing service provider Snowflake to:

  • Create more personalized email campaigns and curated product recommendations;

  • Gain a 360-degree view of its sales funnel; and

  • View significantly larger data sets that expose more shopper information to internal analysts.

Rue La La initially structured its information in an existing enterprise data warehouse and used another platform to house its Big Data streams, including email and clickstream activity from its web site and mobile app. But these disparate data silos limited its analysts’ ability to integrate and analyze the data in one fell swoop. Snowflake allowed Rue La La to unify the data from these platforms and gain a single view of the consumer.

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85% Of Businesses Plan IoT Deployments By 2019

Businesses seeing better-than-expected returns from their initial Internet of Things (IoT) investments will lead to a boom in the technology by 2019, according to a global study of 3,100 IT and business decision makers across 20 countries. In the retail sector specifically, while just under half (49%) of respondents are currently using IoT technology, 81% of them report improved customer experiences.

The study, titled: The Internet of Things: Today and Tomorrow, published by Aruba, a Hewlett Packard Enterprise company, revealed that 85% of businesses plan to implement IoT by 2019. Strong results from early implementations continue to fuel interest: for example, while only 16% of business leaders projected a large profit gain from the IoT investment, 32% realized profit increases after adoption. Only 29% of executives expected business efficiency improvements, but the real-world results showed that 46% experienced efficiency gains.

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The 4 Most Overlooked Touchpoints In Online Retail

0aDaniel Kohn SmartMailOver the past decade, retailers have poured tremendous amounts of resources into creating and maintaining their e-Commerce sites, embracing the opportunity to sell their products online. With the explosion of Internet shopping, retailers have raced to claim their piece of the e-Commerce pie, spending millions on driving as much traffic as possible to their online properties in the hopes of winning at what once seemed like a numbers game.

But as online sales seem to be hitting a plateau, retailers and digital marketers alike are looking for new ways to sustain and perpetuate the continuous growth they once enjoyed. In an effort to get more out of the traffic they’ve already got (versus simply gaining new traffic), e-Commerce sites are now turning to conversion rate optimization tactics as a means to generate more sales.

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Top Tips To Drive Targeted E-Commerce Traffic

The continued growth of e-Commerce has switched the roles of "supply" and "demand" within retail. Brands must now pursue consumers via every available digital touch point. Moreover, retailers need to drive a large audience, but also the right audience, to their sites.

“The retail business model we lived with our entire lives and for generations before that assumed that the customers who represent demand would physically go to the store where supply was,” said Brian Kilcourse, Managing Partner at RSR Research. “Now we live in a world where supply must go to demand. It’s exactly the opposite direction. It upsets the apple cart in virtually any operational aspect you care to discuss. So the question is, how can a retailer set up an environment where supply can go to demand?”

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Runtastic Generates 8 Million App Opens With Personalized Content

Mobile apps are an effective way to engage with users and generate brand awareness, but as consumers become more tech-savvy, they become more demanding and want to be able to access relevant information across multiple channels. Runtastic, a developer, marketer and distributor of fitness tracker apps and wearables, generated more than eight million app opens by enhancing its mobile app experience for global users through personalized content delivered in multiple languages.

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Personalized Home Page Promos Influence 85% Of Shoppers

Personalizing the consumer experience can have a significant impact on the path to purchase, and the effects start the second a would-be shopper enters an e-Commerce site. Personalized home page promotions influence 85% of consumers, while personalized shopping cart recommendations influence 92% of shoppers to complete a purchase, according to research from Kibo.

Less influential personalization techniques include loyalty discounts (55%) and targeted recommendations on product pages (44%).

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Personalized Recommendations Spark 45% Conversion Rate Uptick For Fjallraven

Home page personalization sets the tone for the rest of the e-Commerce experience, and what better way to personalize an online store than through product recommendations? Outdoor wear retailer Fjallraven takes this advice to heart. The brand used machine learning to drive a 45% conversion uplift on shoppers’ “favorite” items.

Since March 2016 when it adopted the Dynamic Yield personalization platform, Fjallraven has seen a 150% uplift in click-through rates on recommendations within its product pages.

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NRF17 Sessions: The Challenge Of Customer Engagement

Attendees heard from top retailers and experts who shared the secrets of combining the uniqueness of a brand with data, analysis and superior customer-first experiences. 

The DNA Of The Digital Native Audience

Lee Peterson, EVP, Brand, Strategy and Design for WD Partners discussed the seismic change in consumer behavior that is being driven by the digital native. These people don’t know of a world without the Internet, Amazon, eBay, or Google, and are open to anything the future may have to offer. “People don't have to go to stores, they have to want to go to stores,”said Peterson. It is up to retailers to be constantly open to change. 

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