A top fashion industry Shopify merchant, Lisen.dk is the star of Findify's latest webinar.
In this live session, which takes place on April 15, independent experts from Symplify will delve into an A/B test they carried out on the Danish store's website, testing performance before and after two Findify solutions (Personalized Search, and Recommendations) were implemented. The results of the test show Lisen.dk saw a return of 26 times their initial investment in Findify, and saw their overall store revenue increase by 7% following integration with the solution’s site search and personalization software.
“I thought Findify has a great product and I was excited to see what it could do,” explained Lone Sanko, owner of Lisen.dk.
“The results of the split test we did were super interesting, and I’m going to continue using Findify on my store as a result.” Full findings from the testing will be presented by Symplify on Thursday, April 15 at 9am CEST. ![]()
CRO Consultant and split testing expert Lukas Rogvall, who is set to present the upcoming webinar, said it was extremely interesting research with very tangible takeaways for other ecommerce merchants.
“There’s a lot to be learned from this case, and I’m really excited to release the data so others can see what Lisen.dk did and potentially try to emulate their success,” he said. “Another key learning point lies in the importance of testing. I believe more merchants should take Lisen.dk’s approach and seek to verify the claims of their tech providers via A/B testing. In this case Findify’s claims were backed up and proven correct, ensuring the merchant could go on to invest in their services knowing the solutions do what they say they’ll do - namely boosting conversion and increasing overall revenue.” Findify CCO, Joakim Amadeus Olsson, said he was also looking forward to the webinar. “Nowadays, more and more clients see the value in making data-driven decisions and are making the wise choice of testing the performance of their ecommerce tools before adding them to their tech stack,” he said. “I think this is a great decision. You end up with very real, very tangible results, and you can quickly see if the solution is going to be beneficial to your business or not. For Findify specifically, we love A/B testing because our solution genuinely works, and genuinely does what we say it does - increasing ecommerce revenue using personalization, improved search, and top-class upselling and cross-selling solutions. It’s great to have the data points to back those claims up.” ‘Measuring Success: How one Shopify store secured a 26x ROI with a single solution’ is set to take place on Thursday, April 15 at 9am CEST. To sign up for this webinar, click here. For more information on Findify’s powerful ecommerce tool, which includes personalization software and solutions such as Personalized Search, Smart Collections, and Recommendations, book a demo here.
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Findify has come together with Jetshop, the Nordic region’s leading ecommerce platform, to host an intriguing new webinar. ‘Behavioral psychological insights in e-commerce’ will explore how behavioral psychological theories can be leveraged to improve the online shopping experience. The event will hear from behavioral scientist Nurit Nobel who will present insights from her research and will explore how they can be applied to improve the e-commerce experience for both customers & merchants. She will take attendees through questions like: ‘How can concepts from behavioral economics improve our understanding of online shopper behavior?’ and ‘What are the most common biases that inhibit optimal shopping experience?’ Hear from an expert in behavioral scienceNurit Nobel holds a doctorate in economic psychology from the Stockholm School of Economics and holds a Master's degree in Social Psychology from the London School of Economics. She is the CEO and co-founder of Impactually, a consulting firm in behavioral science, and Chief Behavioral Scientist for Findify. Nurit also has a background in marketing & branding strategies with senior positions in several multinational companies. In her research and consulting work, Nurit examines why people make certain decisions and how we can help them improve their choices. The focus is on the gap between people's intentions and actions with deviations from rational decision-making in predictable ways. In her work with Findify, she uses behavioral psychological theories online to simplify decision making and enhance the experience. Secure your free seat today‘Behavioral psychological insights in e-commerce’ is set to take place on Tuesday, February 23 at 2pm CEST. The language spoken throughout the webinar will be English. To sign up for this webinar, click here.
For more information on Findify’s powerful ecommerce tool, which includes personalization software and solutions such as Personalized Search, Smart Collections, and Recommendations, book a demo here. New collaboration between academia and industry merges Artificial Intelligence with behavioral science for the first time, with the goal of making AI more human.Findify has today officially announced a new partnership between researchers and industry which is set to change the face of Artificial Intelligence algorithms, by infusing them with insights from behavioral science.
The partnership is between the leading AI personalization platform Findify and researchers from Stockholm School of Economics (SSE), who are working together to improve the experience of online shopping, based on insights on cognitive mechanisms that stand in the way of good decision-making. “The major problem that algorithms try to solve,” said Nurit Nobel, researcher at Stockholm School of Economics, “is the abundance of choice. Online retailers are not limited by the confinement of physical stores, so they can offer an unlimited selection to their shoppers. And a greater selection is an attractive proposition for shoppers, so it seems to be a win-win strategy. But the truth is, choosing between thousands of items is mentally exhausting, and that is where algorithms come into the picture. They try to show us the way and lead us to the decision that the algorithm predicts will provide the best fit.” Ms Nobel explained that while this sounds like a good thing, it’s not enough. “Netflix has invested millions in its algorithms, but most people still find it hard to choose a movie to watch. People still get discouraged when they look for jeans and get hundreds of results. In these situations, choice overload might kick-in, which is what happens when the availability of choices makes it more difficult for us to make a decision. As a consequence, this may lead to shoppers leaving the store without making a purchase”. Joakim Amadeus Olsson, Findify’s CCO, said this would be a “clearly suboptimal” result. “If a shopper leaves a store without having purchased a single item, even though they intended to do so, they are not happy, the retailer is not happy, and of course – we are not happy”. He explained how personalization algorithms make sure that a search output contains products in the order that make a shopper most likely to buy – most relevant items on top, least relevant items at the bottom. They do this by learning an individual’s preferences from their past behavior, like other products that they have engaged with or purchased. So that when a customer looks for “jeans”, they are presented with the jeans that they are most likely to buy. “Personalization algorithms are helpful in guiding users through the shopping journey, but to really battle choice overload, more can be done,” added Ms Nobel. “I was excited when Findify asked for my help to work on this problem. I am not familiar with any other search algorithm provider that contemplates this kind of insight when determining the right options for that specific user. Considering that these algorithms are intended to help humans, it is staggering how little research in human psychology goes into their design.” On Mr Olsson’s part, he is convinced this is the future of AI and algorithms. “Adding the human dimension, using insights from psychology, really thinking about the person on the other end. If we don’t take these things into account, how can we expect to design an algorithm that provides a great experience? There is a real need for it, and we intend to close this gap,” he said. “How we do that is we invite Nurit, the researcher from SSE that we collaborate with, into our internal discussions. We make sure she is involved in brainstorming for new features. She is there when we decide what to test, and she helps us do it in a rigorous manner. Nurit makes sure the insights from the most cutting-edge research on human behavior find their way to us and to our algorithm.” Mr Olsson reveals Findify has already made changes to their algorithm as a result of this collaboration with SSE. “I cannot go into detail about it, but I can say that we keep coming up with new ways to implement this knowledge. We test things and we implement the changes that we see lead to higher conversion,” he explained. “At the end of the day, our goal is to improve the shopping experience for our retailers. That is what our algorithm is for. When we use insights from psychology, we notice that we do that better. Making the algorithm more human just makes sense.” For more information on Findify’s powerful ecommerce tools, including personalization software and solutions such as Personalized Search, Smart Collections, and Recommendations, book a demo here. ![]()
Leading site search and personalization software company Findify has launched a new integration with innovative user generated content app REVIEWS.io.
The popular ecommerce tool offered by REVIEWS.io helps merchants collect video, photo, and text reviews from customers which are then displayed on the merchant’s website, on Google, and on the merchant’s social media accounts. Merchants who display these reviews on their site and social media usually see an uplift in conversion within a few weeks - because trust is king in today’s ecommerce world, and informed customers who trust in a brand end up buying more of their products. Now, experts at both Findify and REVIEWS.io have come together to ensure all their solutions work seamlessly together - creating more value for mutual clients who want to sell more and sell smarter, as highlighted in the most recent integration with Australia’s best organic food store, Wholesome Hub. Neto merchant Wholesome a “great example” of Findify + REVIEWS.io collaboration
Australian retailer Wholesome Hub began with an altruistic vision - a brand that deals only in products that are organic, vegan, and sourced in-country.
Today, Wholesome Hub is arguably the best organic food store in the entire country. Their offerings are all cruelty free, ethically made, contain zero waste, and are shipped in the most environmentally friendly way possible. The company even plants trees to offset any carbon emissions generated by their delivery methods. Aiding them in the online iteration of their sustainable journey are three Findify solutions: Personalized Search, Smart Collections, and Recommendations. The brand also utilizes the compelling user generated content made possible by REVIEWS.io. Two state-of-the-art solutions working together to increase ecommerce revenue
To date, REVIEWS.io has collected more than 12 million reviews. That’s a lot of user generated content!
One of the top benefits of user-generated content is that it serves as excellent social proof. Seeing content from real customers increases credibility and brings the brand's promises into perspective. Joakim Amadeus Olsson, CCO of Findify, explained how important it is to the company that their clients have the most relevant product experience possible. “At Findify, we offer an advanced site search and personalization software solution, and every day we talk about positive shopper journeys and relevant product experiences. An integral part of that lies in social proofing,” he explained. “That’s why we’ve partnered with REVIEWS.io, Australia’s leading reviews platform, as we share a common desire - helping merchants to sell more, and sell better.”
Mr Olsson cited the huge and continued success of retail giant Amazon as proof of how influential user generated content, such as reviews, can truly be.
“Displaying this kind of content at key conversion points across a retail website definitely impacts the bottom line for ecommerce merchants. And that doesn’t just mean text-only reviews any more. These days it can mean photo and video as well, which can then be shared on the merchant’s social media pages,” said Mr Olsson. “I may be biased here, but I do think that Findify’s leading AI personalization algorithm and advanced site search capabilities combined with the nudging and social proofing services of REVIEWS.io is a very winning combination.” * Findify, an advanced AI solution and ecommerce tool which uses machine-learning algorithms to change the order in which each individual shopper sees each product, creates an optimized and personalized journey for online shoppers. For more information on Findify and its solutions (Personalized Search, Recommendations, and Smart Collections), book a demo here. * REVIEWS.io is an innovative solution for ecommerce merchants who want to boost sales showcasing customer reviews and compelling user generated content. For more information, go to www.reviews.io/business-solutions. Check out the latest Findify clientsExperience the Findify effectYotpo helps great brands accelerate their online growth by providing a full suite of solutions for customer reviews, visual marketing, loyalty programs and referrals. It offers a variety of ways for shoppers to ask questions and leave comments, making it simple for them to give their feedback and review each and every purchase. By integrating Yotpo with Findify, you can to add those product ratings and reviews to your search results and shoppers can use these to filter products by. Social proof in your search results ![]() Straight from your collections pages, search results and product recommendations, shoppers can see what other shoppers think of each product. The all-important social proof is provided automatically by your own shoppers, encouraging others to buy without you needing to do a thing. Search by product ratingUsing data and machine learning to automatically select the most effective assortment of products for each user, Yotpo's integration with Findify gives shoppers the chance to find and filter products based on the ratings. Integration BenefitsInstall Findify with Yotpo in one click and shorten the time it takes for shoppers to make that buying decision, increasing your store revenue.
In the eCommerce world customer engagement is an important connection between your online brand and your customers. It’s well known that highly engaged customers show more loyalty to you and your online business and of course bring you more sales. And thanks to the growth of digital marketing and social media, in 2020 online customers are getting smarter and quicker each day. So in order to keep up with the changes in the eCommerce world and involve more customers in the online business, every day online business owners are coming up with different customer engagement ideas.
You can find a lot of successful customer engagement examples that merchants could use. Major online brands use different strategies: from creating useful video content to implementing rewards programs and VIP tiers. And in this article I would like to talk about 5 easy and Effective customer engagement ideas to implement in 2020. 5 engagement strategies to leverage in 2020:
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