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Retail

COMMENT: Amazon Charts Launches – Social Proof for Our Social Proof

By | Business, E-commerce, Online optimisation, Online optimization, Retail, Retail; E-Commerce, Social proof

Last week, online retail colossus Amazon announced a new feature in its book sales called Amazon Charts. In case you missed it, this chart has been billed as a ‘new’ bestseller list, giving users a top 20 list of the ‘most read’ books on Amazon. The data combines both how much these titles are read on Kindle and listened to via Audible.

Amazon Kindle: Data included in social proof chart

Moreover Amazon will now also publish a ‘most sold’ top 20 list, including books sold, pre-ordered and borrowed each week on Amazon.com, Audible and Amazon Books. As time passes we’ll also see other selective stats and data about their sales.

Avid Amazon shoppers will ask what’s changed? Amazon has long-published lists, but this announcement shows a richer reliance on the data that it’s continually collecting as sales are made, and replaying that to add value to the online sales experience. What’s key is that the data wholly-belongs to Amazon by way of the opinions and behaviors of its millions of customers. From a branding point of view, Amazon is reinforcing its position as the leading online book retailer each time these stats are used – and undoubtedly replayed in the media and other sources.

Amazon sells millions of books each day, so as a game of numbers alone, it’s already viewed as a credible source. But what excites us about this announcement is that these charts are using social data first and foremost. Amazon is promoting information about what others are reading as way to encourage more sales. This works by using the wisdom of crowds to influence the behavior of new or returning customers.

Add to this that most of us have shopped on Amazon in the last few months, and probably know other people that have also used the site, so by mining and replaying the preferences of previous customers back to new visitors, we’re being giving recommendations by ‘people like us,’ making us feel more comfortable about the buying decisions we might then make. Amazon is adding value on-site, and therefore also reducing the likelihood that book buyers will go elsewhere.

According to the TechCrunch report, the data points presented will be selective.  This makes sense. We expect that Amazon will use the latest data to support seasonal or other marketing campaigns, but it will also be interesting to see what site’s algorithms show us according to the behavior of real-time customers.

It’s great to see more retailers show a deeper reliance on socially-sourced factual data.  At Taggstar, we work with the principle that the opinion of the crowd is always stronger than an individual, and are rolling out new ways of applying real-time social proof data to some of the web’s largest brands.

We already have a ‘top sellers’ feature available to Taggstar customers, which collects and presents data in the form of real-time messages sourced from the crowd, without the bias of the retailer.  We know from our testing that this is statistically-proven to improve sales.

You can read a recent example how we’re helping retailers and their customers to make better buying decisions using crowd-sourced trends here, as Finn Christo, online optimisation lead at N Brown explains.

We’ll be keeping a close eye on how Amazon develops its social charts.

Want to try Taggstar’s social proof messages yourself?  Drop us a line here.

Taggstar JD Williams social proof

N Brown Grows Online Sales by £2m with Taggstar’s Social Proof Messaging

By | Business, E-commerce, Fashion, Fit; Online Shopping, Online optimisation, Online optimization, Retail, Retail; E-Commerce, Social proof

Retailer Signs Contract After Trial Shows Significant Sales Uplift

23 May 2017 – Leading digital fashion retailer N Brown Group, has generated additional revenues of c.£2m in just a few months by adding social proof messaging from e-commerce conversion optimisation specialists, Taggstar.  Messaging was added to the group’s Power Brands Simply Be, JD Williams and Jacamo in mid-2016. The test showed impressive revenue uplift across the three sites that was directly linked to the customers who saw the Taggstar messages, leading the retailer to sign an ongoing contract.

Taggstar social proof

Taggstar social proof messaging at SimplyBe

N Brown began using Taggstar across the brands in mid-2016, testing the social proof messaging software over a 90-day period, and showing more than 12 million unique messages. Customers saw information about how many other people were looking at a product at a particular moment, or what other shoppers had bought. The messages increased customer confidence by providing transparent information about product popularity, and encouraged browsers to move down the purchase funnel.

N Brown Group conversion rate optimisation manager, Finn Christo said: “We were interested in what motivates us to buy as shoppers, and specifically the FOMO factor.  We saw how effective the Taggstar social proof messages were, and started using them across our entire product catalogue.”

Results from using the messaging were excellent. Sales attributed to the Taggstar messages added additional revenue of c.£2 million across the three sites, with Simply Be alone increasing its conversion rate by up to 2.7%.

N Brown and Taggstar continue to work together and have now signed a new contract to increase use of the messages and to test different combinations. The Group Optimisation team says that it will begin to deliver its social proof message roadmap immediately.

N Brown Group has adapted to drive improved online sales. Its online power brands Simply Be, JD Williams and Jacamo have an aggregated 1.8m active customers every year. It also uses Taggstar partners BizarreVoice and Monetate and is excited to try the two solutions together.

Taggstar social proof Jacamo

Taggstar social proof at Jacamo

Taggstar’s CEO Marjorie Leonidas said: “Our social proof messages give consumers the confidence to make more informed decisions when shopping online. We turn huge amounts of e-commerce trends into useful, actionable information to improve customer engagement and increase sales.”

With overwhelming online choice, Taggstar captures recommendations, ratings and real sales trends from others to guide customers down the purchase funnel. It’s statistically-proven to increase sales conversions of popular selling items and thousands of long-tail products.

Read the Essential Retail Q&A with Finn Christo, N Brown here.

Can Social Proof Messaging Solve The Problem of Fit in Online Fashion?

By | E-commerce, Fashion, Retail, Retail; E-Commerce, Social proof

We work with a number of fast fashion e-tailers, who all agree that one consumer mega trend is causing their businesses a problem – fit.

This isn’t new news, but as fashion and apparel sales have become the fastest-growing e-commerce category – second only to consumer electronics – it’s become more common and pressing. 2014 figures from Forrester said that the online return rate for a retailer is 20 to 30 per cent, and about twice the rate of goods bought in-person, in-store.

Online fashion sales are huge, and it’s a pain point for retailers as much as consumers when ill-fitting clothes bought online are returned. For consumers, the anticipation, optimism and excitement of their new purchase goes sour; and for online retailers, fit-related returns cost millions in terms of lost revenue and the extra operational expense needed to ship and process. Moreover, according to Gartner, fewer than half of returned online goods sell at full price again, dealing retailers a double blow.

Revenues lost from returns are of course only half of the problem. When customers are unsure whether an item will fit in the first place, they’re less likely to convert.

Technology suppliers have of course not been shy in trying to solve the problem. There’s now a range of tools to try and support consumers – everything from manual measurement input, to digital fitting rooms, to complex algorithmic solutions which meld fit data to recommend which size an online fashion shopper should pick. And yet the black-bagged returns are still coming back.

The retailers that we talk to say that this is partly inevitable. There is always going to be a chunk of the market who will buy multiple sizes and send the ill-fitting one back. It’s an unfortunate behaviour that’s evolved with fashion e-commerce.  The introduction of new technology won’t automatically reverse the trend either.  If you’re a shopper who’s habitually returning unwanted items, you’re not going to trust a new widget straight-away. We know that standard sizes and body shapes are all different.

High return rates are also partly to do with limited technology adoption. Once fit technologies are added, a behavioural change is needed to actually get shoppers to engage. Some tools need shoppers to take an extra step in their online purchase journeys, but for fast fashionistas who want to get online, get it and get out, that’s also possibly a step too far.

Where fashion e-commerce has exploded, online returns have followed suit, and retailers are now having to catch up.  It’s tough, but as customer-centric businesses, retailers have to make it work.

It seems that whether a clever, automated tool or one that needs manual input, sales conversions will only go up, and returns go down when shoppers actually trust the information that they’re getting. Which is where crowd-sourced, behavioural information like quality reviews, fit reviews, ratings and purchase information are powerful.

There’s little that we can do about the habitual returners who are likely to carry on buying and returning.  However, for the mass of shoppers in who aren’t sure about fit, and are dropping out of the purchase journey because of it, the more information that we can give them the better, making them more likely to trust in their product choices and therefore more likely to convert.

That’s the principle that effective social proof messaging should live and die by for fast fashion e-commerce. Fashion is the one retail niche where consumers are more likely to have a friend or family member to back them up when they’re shopping in-store. The benefit is that if they can’t see how tight the dress is around their thighs, then their friend is sure to tell them.  We lose this third party reassurance when we shop online, which is where social proof messaging fills the gap, providing crowd-sourced support for e-commerce fashion choices.

Social proof messaging can be tagged to every item on a retail site, and shoppers shouldn’t need to look for it. Real-time information should be shown with the product page, helping to build trust and add value with third party reviews about fit, quality (or any other issue that retailers need to address).  If the crowd agrees that an item comes up small, they’re arguably more reliable than a prep-programmed app.

It’s a non-disruptive, information injection that is working for the fashion e-tailers that Taggstar works with. For example, they tell us that by letting customers know on the product page that the item fits tight (and therefore to buy a size larger), customers are less likely to buy two of the same item and to return the ill-fitting one. This stops retailers losing margins on the item that is kept.

Additionally, having information about fit on the product page has also shown to increase sales conversions because these social proof messages actually help build customer confidence to buy rather than abandon.

To find out more about Taggstar for your fashion site, get in touch.

Jivox Brings Power of Social Proof to Digital E-Commerce Ad Campaigns Through Taggstar Partnership

By | Business, E-commerce, Fit; Online Shopping, Retail, Retail; E-Commerce, Social proof

Digital ad platform now features real-time social proof messaging to supercharge online sales

London, 8 February 2016 — Jivox, provider of the leading platform for data-driven advertising and marketing, today announced a partnership with Taggstar to help online retailers improve the relevancy and impact of their online display and retargeting advertising. Under the agreement, Taggstar’s Social Proof Engine will be used to pull real-time data about product popularity and trends based on shoppers’ online browsing history. The Jivox IQ Dynamic Ad Platform will then allow personalised dynamic ads to be created for Jivox e-commerce customers using Taggstar’s real-time data for better consumer targeting.

In the context of e-commerce, social proof is used by online retailers to drive consumers down the purchasing funnel, using aggregated product reviews, ratings, product trends and popularity messages.

“Large global retailers rely on Jivox’s data-driven ad platform to deliver their most demanding personalised ad campaigns. Our partnership with Taggstar allows them to personalise these ads even further and ultimately drive more revenue from their online sales channels,” said Diaz Nesamoney, president and CEO, Jivox. “Integrated with Jivox-powered ads, Taggstar’s real-time social proof messages can dramatically increase sales-conversion rates across every stage of the purchasing funnel.”

Shop Direct, the UK’s fourth-largest online retailer, recently added social proof messaging to its flagship websites. As a result, the retailer drove a massive 2.7 percent uplift in its sales-conversion rate – equating to around £14 million over 18 months.

“The 2.7 percent increase we added to our sales conversions is incredible given the scale of our retail sites,” said Jonathan Wall, e-commerce director, Shop Direct. “Adding Taggstar has been the single-biggest driver of incremental revenues in our financial year 2014/15.”

Using the Taggstar Social Proof Engine, Jivox online retail customers can now build digital display and retargeting ads using up-to-the minute social data on who’s viewing and purchasing products. And for prospecting ads, where the shopper has never previously visited a website, Jivox is able to use prior browsing behaviour, in addition to hundreds of geographic or behavioural variables – such as time of day, weather, season, price bracket or demographics – to deliver an ad recommending similar, relevant items to drive customer traffic to a site for the first time.

“Whereas people might ask for friends’ opinions when they are shopping in-store, online shopping is a solitary experience. Social proof can provide online shoppers with a virtual ‘thumbs up’ that what they’re thinking of buying is the right decision,” said Marjorie Leonidas, managing director, Taggstar. “Through our partnership with Jivox, online retailers can now increase sales conversions through super-targeted digital advertising. And even when consumers have left a site, or never even visited that site, we can drive traffic to specific products that we know these shoppers will like.”

The Taggstar Social Proof Engine is available now to Jivox online retail customers worldwide.

About Jivox

Jivox enables the world’s top brands to deliver highly personalised digital ad experiences. The company’s flagship Jivox IQ™ is the industry’s first digital advertising platform designed to deliver dynamic ads at scale for programmatic media across all formats and screens. With its unique ability to integrate first-party, audience and contextual data, the Jivox IQ platform creates personalised digital ads in real time – customised to the individual – by dynamically generating thousands of creative and messaging variations at scale. Several hundred leading brands and agencies use Jivox, including Bayer, Bose, Condé Nast, 1-800-Flowers.com, Johnson & Johnson, Mindshare, REI, Sony, Starcom Mediavest, Time Warner Cable and Universal McCann.

About Taggstar:

Taggstar delivers real-time product messaging on retail websites to turn browsers into buyers. Our messages highlights what other shoppers have bought, including popularity, trending, scarcity and promotional messages, encouraging them to buy. Displaying the right messages, at the right stage in the sales journey, to individual customers about individual products, means that buyers who see Taggstar messages are better engaged with more confidence to complete the sale. #Taggstar is backed by Ariadne Capital.

-ends-

Contacts:

Samantha Moore, Jivox, +1 408.712.0612, samantha@jivox.com

Kate Cleevely, Taggstar, 07754 920043, kate@taggstar.com

Taggstar Named One of London’s Best Tech Start-ups by TechCityInsider

By | Business, E-commerce, Fit; Online Shopping, Retail, Retail; E-Commerce, Social proof | No Comments

We were absolutely delighted to see Taggstar listed as one of six London technology start-ups named by TechCity Insider in its 2016 Almanac.

To describe how we use crowd power to enable better online shopping in a quote: “We provide people with a sense of excitement when they are online, that they aren’t shopping by themselves.”

You can see the full list here:

Crowd Power Alive and Well in Shopping Today

By | E-commerce, Fashion, Fit; Online Shopping, Online optimisation, Online optimization, Retail, Retail; E-Commerce, Social proof

In the 2004 book, The Wisdom of Crowdsauthor James Surowiecki explores the accumulation of information within groups. The results, he argues, are that better decisions are made by groups, than could have been made by any single person.

The proof is alive and kicking in retail. I’ll give you a real-time example.

Last weekend, I needed to buy a new toaster.  I was really specific about what I was after (four slices and red), in case you’re interested.

After spending a fair bit of time researching, I jumped onto Argos where I was blind-sided by no less than 172 choices for four slice toasters.  It was getting late. Things were not looking good.

Then I took a closer look, Argos was sending me messages about one particular product.

It had apparently been bought by 54 other people, liked by 402 others and rated 4.5 stars.  If it’s good enough for them, it’s good enough for me I thought. Mind made up, I clicked, sent to basket and paid.

There’s a few things happening here, which I think move the personalised marketing targeting debate on.

Remember, it was late and I had hundreds of product choices. Back in the day I would have asked friends, had a nose around their kitchens before going to shop. In these digital days, I guess I could have played with the search filter – looked by ratings, by price – but that’s a frustrating and clunky way to make a decision, and I’m time poor.

Instead, the messages that I was seeing drew the old and the new worlds together. Argos tapped into my basic human need for approval. I needed to know that I was making the right choice. It’s no different to the millennials taking ‘chelfies’ (that’s changing room selfies, people…). We’re all looking for a virtual thumbs-up from someone – anyone.

By building a picture based on the behaviour of millions of shoppers, Argos was able to boil the data into a simple message to tell me that other people had bought that toaster too. And that gave me the confidence to click ‘buy.’

Back to James Surowiecki and his crowd power.  I couldn’t agree more. The crowd made the decision for me.