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Posts with Learning Recommendations Tag

At SLI Connect, Retailers Imagine an Omnichannel Future

Posted by Tim CallanMarch 18, 2015Conferences, eCommerce, Site Search, Success Stories, User Experience

SLI Connect is sparking exciting e-commerce discussions on both sides of the globe this month.

shaun SLI connectEarlier in March, we had our most successful SLI Connect UK yet. With an unprecedented 200 attendees from 150+ leading retailers such as Harrods, Harvey Nichols, Tesco, Jigsaw London, Warehouse, Chemist Direct and Paul Smith, we could not have asked for a better or more expert turnout. I want to thank all who attended and presented for your invaluable participation at the show.

At the end of the month, we will hold our next SLI Connect in Australia – SLI Connect AU.

Through discussions with customers and colleagues at SLI Connect UK, it was clear that the future of e-commerce is flush with opportunity. We’ve all heard the buzzword ‘omnichannel,’ but the reality comes down to this: true ‘omnichannel’ means the channel becomes totally invisible to the customer. To make the omnichannel experience seamless and successful, the retailer must subtly meet shoppers at all points in their user journeys in a personalized manner. Here are two real-world examples I was fortunate to learn about at SLI Connect.

Fashion Retailers Move Toward Omnichannel

Top clothing retailer Jigsaw is positively moving toward omnichannel retailing. Jigsaw’s Head of E-commerce Kate Holt presented at SLI Connect, where she revealed that Jigsaw was experiencing a massive rise in smartphone traffic. She informed us that 55% of traffic and 44% of sales came from mobile devices! Jigsaw uses SLI Mobile to ensure its mobile shoppers are quickly finding the items they want to buy. Kate reported that the results to date have been staggering, with revenue up 47% and conversion rate up 30%.

Leading clothing retailer Warehouse is also working toward omnichannel retailing by executing a robust personalization strategy, according to SLI Connect presenter and Warehouse Digital Trading Manager Liam Price. Through Warehouse’s popular blog ‘Tales of the City’; various payment, delivery and returns options; product recommendations (via SLI Learning Recommendations); and advanced site search (via SLI Learning Search), the retailer’s e-commerce site is experiencing a 7% increase in visitors and 3.4% increase in conversions.

In fact, a test run by Warehouse found that when SLI Learning Recommendations were removed from the product page, total revenue fell by 2%!

Multichannel, Omnichannel – It’s Just Retail!

E-commerce industry analyst Linda Bustos says it best, “Whether you refer to it as multichannel or omnichannel, the ways in which your consumers are researching, purchasing, and interacting have evolved, effectively backing most brands into a largely-reactive corner…organizations must realign with experience-driven systems to build relationships with, and sell to, the modern consumer.”

The two savvy retailers mentioned above are personalizing the e-commerce experience, making the ‘channel’ virtually unseen, to meet the needs of their modern shoppers and drive e-commerce sales. SLI Connect attendee Jon Woodall from Space48 summed it up nicely: “Forget omnichannel, it’s retail!”

SLI Connect Australia – Less than Two Weeks Away!

There’s still time to register for SLI Connect Australia, which is coming to Sydney on 31 March 2015 at the Quay West. More retailers and e-commerce professionals will gather there to discuss and explore the future of e-commerce, with speakers from ChannelAdvisor, Shopbot, Bras N Things, Appliances Online and more. We hope you can be part of this powerful event!

Checklist for a Holiday-Ready E-commerce Site

Posted by Jason MillerNovember 17, 2014eCommerce, Site Search Tips

shopping cart mouseWith the holidays upon us, e-commerce retailers are fine-tuning their sites in preparation for Black Friday. Here’s a quick checklist to help make your 2014 Holiday Season brighter by gauging your site’s readiness. I’ve included several tips and tools for testing that have worked well for me in the past.

1. Is your site up to speed?

With 47% of users expecting a web page to load in less than two seconds, speed is crucial. Slower sites increase bounce rates and decrease conversions. Walmart found that for every one second page speed was improved, conversion rates increased up to 2%. Think about what that means to your bottom line. Holiday shoppers aren’t willing to wait for your site to load.

This brings up an interesting point when we talk about page load speeds. To your users, the page is complete when it appears visually ready and they can interact with it. A great way to measure this is www.webpagetest.org, which lets you compare your site against your competitors. This will help identify scripts and elements you can load later in the page cycle to improve performance.

We can’t really talk about speed and the holidays without talking about stress testing your site for the surge in traffic that peak season will bring. You want to make sure your web infrastructure and content delivery network are properly configured so you don’t experience any downtime. Properly load testing a site requires coordination with your CDN and IT teams to ensure you don’t unintentionally DDOS your own site.

2. Do you have a consistent user experience across channels and devices?

Tablet and mobile traffic has now eclipsed desktop traffic, according to Branding Brand’s Mobile Commerce Index for 2014. Today’s users often interact with multiple device types before they convert. The majority of emails – 65% – are opened on a smartphone or tablet. According to Limelight Networks, Inc., 80% of customers abandon a mobile site if they have a bad user experience.

Users expect a seamless experience between different devices. If you don’t optimize these first-touch customer experiences, you risk losing buyers. There are many different ways to address this issue, from responsive design to dedicated mobile sites, each with its own challenges. For instance, responsive design requires careful coding and CDN configuration to minimize download time while dedicated mobile sites need special attention paid to redirecting links based on device.

It’s all about reducing friction for the user as they travel down the conversion funnel. For mobile users, don’t use incompatible desktop features like hover and make sure email links are optimized for smaller screens. On the other side, make sure links shared via mobile open properly for desktop users.

Here are a few more things that work well no matter the device format: Limit the amount of form fields on checkout, put the search bar in an obvious place near the top of the page and use predictive analysis to help auto complete search queries.

3. Do you have the right merchandising and product mix?

Knowing the right products to offer and displaying these products first on your category pages increases conversions. For customers using SLI Learning Navigation, all category pages are automatically merchandised based on user behavior, such as clicks, conversions, sales and margin, to ensure that you display the most relevant products first.

Wondering what promotions or product mixes your competitors had last year for Black Friday? Try the Internet Archive Wayback Machine.

4. Are you using gift finders?

At this time of year, you will have shoppers who aren’t your regular customers coming to your site to buy a gift. A parametric search lets you provide a guided shopping experience and walk the user down a path. A user might say she is shopping for a man, wants to spend $100 and wants the gift to be in sporting goods. This quickly gets the customer to relevant products. This type of search works well anywhere a guided experience is useful, such as a trip finder where filtering by region and price make it easier to see a large range of products.

5. Do you provide recommendations?

Customers appreciate a personalized experience while shopping. Being able to offer them other contextually relevant products enhances the customer experience and increases both conversion and cart size. When shoppers interact with the related products displayed on SLI Dynamic Product Banners, retailers are seeing a 10-20% increase in conversion rates.

As the customer moves through the site you can make more fine-grained recommendations. On the homepage, new customers might see “top sellers.” As they go deeper into a site, based on behavior, you can show recommendations like “customers who viewed this item also viewed” or “frequently bought together.” At the cart, you can suggest accessories related to the items they are buying, and at order confirmation, you have the opportunity to upsell again.

The most personalized recommendation you can offer is “recently viewed,” which performs really well. In this case, customers have shown an explicit interest in a product. If you make it easy to quickly jump back to that product – even if they come back to the site after a few minutes or a few days – it increases conversions dramatically.

My advice on recommendations is to test all the variances you can on the page to see which one preforms best. I would even test the call to action verbiage around the recommendation because context is very important to recommendations. Customers will value the recommendations more if they understand the logic of why you are showing the items.

To learn more about preparing for the holiday season, see a video of a webinar I recently presented on this subject.

May your season be bright, and your site bring in much revenue!

Amazon, You Don’t Know Me

Posted by Max BunagMarch 11, 2014Related Search, User Experience

I’m an avid online shopper. It’s convenient and simple, and best of all, I don’t have to deal with annoying store clerks. These are attributes that are absolutely necessary in my ideal shopping experience. Amazon.com is one of my shopping destinations of choice because of its wide selection of products. It’s like Walmart with a cooler name and actual customer service. The online juggernaut also gets into my head via typical big data fashion — it always tries to guess what I want. The keyword in that last statement, however,  is “tries.”

Amazon thinks it has me figured out as a shopper. The retail giant knows that if I click through to an item on a search query — an item like “Legend of Zelda” — even if I don’t ‘add to cart,’ I have shown interest in said item. Ideally for Amazon, the next time I visit, I would see, click, and buy one of these ‘recommended’ items related to “Legend of Zelda” that are scattered throughout my view as I browse the site. Although Amazon’s concept is spot on, it’s not quite right in execution.

I searched for “The Legend of Zelda,” and as we all know, “Zelda” and all its associated products are exclusively Nintendo products. Therefore, if I’m performing search queries for anything “Zelda” or “Mario” or “Metroid”-related, you’d think that Amazon would recommend Nintendo-specific products to me.

This isn’t the case with Amazon’s recommendations. On my Amazon homepage, I have an entire “recommended” section devoted to — you guessed it — Sony and PlayStation accessories and games. Not only is this a waste of valuable real estate, it’s a missed opportunity. If Amazon’s recommendation algorithms were effective, they would surmise my interest in Nintendo and show Nintendo accessories and games in my feed. PlayStation 3 games are absolutely no interest to me as a Wii U owner.

Now I was curious; would Amazon’s algorithms make similar incorrect assumptions outside the realm of the video game console wars? The conclusion was what I expected. I performed search queries for iPhone and Apple products, clearly showing Amazon that I have an interest in iPhones and Apple products. But, back on my homepage, I get a section dedicated exclusively to LG and Samsung phones. I have literally asked Amazon in all its infinite wisdom to show and bring me directly to iPhones, and the retailer shows me something it should know I don’t want. It’s no different than asking a sales associate where the iPhones are and that associate trying to up-sell LG and Samsung accessories — it does not make sense. In the brick-and-mortar retail world, this would be a lost customer.

There are countless instances of these faulty “product recommendations” not only on Amazon, but all over the e-commerce web space. In theory, product recommendations are a form of suggested selling. It’s the same as merchandising like-products next to each other on a store endcap. If you put too many random products near each other, or completely unrelated ones, you’ll confuse and lose that customer to the store with better merchandising. Need proof? Look at the in-store customer experience in T.J.Maxx and Marshalls versus the experience at Target or Best Buy.

Effective recommendations are a proven way to up-sell and increase conversion. To be effective, however, relevancy is absolutely necessary. SLI Systems recently announced the availability of a new product, SLI Learning Recommendations, which uses the power of SLI Learning Search data to provide contextually relevant recommendations. To learn more, take a look at our Learning Recommendations product page, or contact me at max.bunag@sli-systems.com.

Max Bunag, who clearly favors Nintendo over Sony, is an enterprise sales representative for SLI Systems. 

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