Announcing the Launch of Personalized Site Search for eCommerce on DID.ie

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We’re delighted to announce our new deal with DID Electrical to launch our personalized site search on their e-commerce website, which is the leading online electronics portal in Ireland.

DID’s eCommerce Manager, Darren Hardiman, had the following to say about the launch:

“The Launch of this personalized search service is an integral part of the DID.ie strategy to optimize the user experience and to ensure we deliver the right product to each user in each visit to the DID online store. This service will also enable us to learn the intent of each shopper and to understand the products we need to carry to satisfy their neeeds. HeyStaks achieves that all – deploying the HeyStaks solution is like having a new website – there is just no comparison to what we had before.“

Our CEO here at HeyStaks, Maurice Coyle, said:

“DID.ie sees the delivery of a highly personalized onsite search experience as an essential step in strengthening its position and brand value in the extremely competitive online electronics marketplace. The new personalized site search powered by HeyStaks’ technology offers DID.ie shoppers the right items and a relevant shopping experience based on what we learn about them. Our unique engine uses intent analytics and collaborative-based recommendations to increase relevance by 40% over any other personalization technology.“

Read the press release here.

Website Analytics for E-commerce – 2014 Study Results

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In December 2014, we conducted a study to discover the ways in which e-commerce professionals use analytics on their websites. We also wanted to hear their opinions on what’s working and what’s not with the analytics solutions that they use.

Respondents

We received 30 responses to our survey over a three week period before Christmas.

Company Desciption and Size

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The Rise of Mobile Search – Infographic

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The Rise of Mobile Search Infographic

The number of people who are regularly searching on smartphones is rocketing, in-line with the explosive growth of mobile devices around the world. This infographic takes a look at the latest mobile search statistics, and shows when, where and how users are performing searches.

Mobile search offers some unique opportunities for companies who want to reach people at the right time and in the right way. Context and intent signals that are present in a mobile search are clear indicators of a customer with a specific need. To find out more about how you can capture this data and make use of it, take a look at our Intent-driven Advertising solution or learn about our Collaborative Search Analytics Platform.

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Whitepaper: Towards the Reputation Web

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HeyStaks Whitepaper 3 - Towards the Reputation Web Since the dawn of the Internet we have used ratings as a proxy for reputation to guide our activities; buyer and seller ratings, for example, have been crucial to the success of eBay and similar online markets. But as the web has become more social, shifting the emphasis from pages to people, we will see reputation playing an ever more crucial and pervasive role to mediate and qualify our interactions.

In this white paper we consider some of the implications of the ability to measure and use reputation, particularly as a recommendation signal in the world of information discovery and collaborative web search.

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Reputation Inc. – The Value of Social Reputation on the Recommendation Web

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Way back in the pre-Google dawn of the 1990’s Internet there was a much heralded approach to web search by a company called DirectHit. The message was simple: paying attention to the words in a document (and query) was not enough to do a good search job, we need to pay attention to the results people select.

To be fair, the first part of this idea – that the words or terms in a query and document were not enough – was accepted by then; at the time a couple of grad students at Stanford were doing some interesting things with links as a result ranking signal for the same reason. But where Boston-based DirectHit differed was it’s emphasis on engagement signals. For instance. the Direct Hit search engine harnessed the searching activity of millions of anonymous web searchers to rank websites based on often searchers selected a page, how long searchers spent viewing it, and where the page was ranked in the original search results list. Ultimately, Direct Hit’s so-called Popularity Engine ranked search results based on a formula that combined a variety of engagement signals to evaluate the page’s popularity. At the time the idea was fascinating and potentially powerful; so much so that Direct Hit was acquired by Ask Jeeves for more than $500m in stock.

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Benefits of HeyStaks for eLearning Vendors

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elearning-guide-preview

Learning is now a user-driven, collaborative and social experience. In today’s social network era, users want to connect with other students and with subject-matter experts in order to improve their learning outcomes. And in today’s knowledge economy, enterprises need to maximize the engagement of their staff with learning content to increase competitive advantage. Collaboration is a key eLearning requirement.

This downloadable paper outlines the features and benefits that HeyStaks technology offers to eLearning vendors.

  • Foster learning collaboration
  • Drive peer learning
  • Promote expertise
  • Identify learning needs
  • Track participation
  • Track competency

 

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Public vs Private Parts: Personas & Sharing on the Recommendation Web

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The Internet is an archive of our lives. Every event captured, every photo rendered, and every conversation indexed. And, if it can be stored it can be found. Maybe not today but someday, by a friend perhaps, or a future employer, whether we want it to be found or not. This is both liberating and terrifying. But is it creating an incentive for people to hide their true personalities? Are we curating carefully crafted personas online that only disguise our genuine personalities? If so then, what we share may not be what we click and this has some important implications for the future of personalization, sharing, and recommendation on the web.

Figure 1. An analysis of what people share versus what is clicked, by 33Across, and based on 450 large publishers and 24 content categories.

Figure 1. An analysis of what people share versus what is clicked, by 33Across, and based on 450 large publishers and 24 content categories.

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New Video: Increasing Website Conversions

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Over the past week or so, we’ve been furiously writing, recording, re-recording and editing to bring you our latest video, entitled “Increase Website Conversions with HeyStaks Collaborative Search”. In the video, Maurice (our CEO) leads you through an example of HeyStaks Collaborative Search in action on a travel booking website. The video illustrates how HeyStaks can increase conversions and engagement by making it easier for a user to find the most suitable content for his specific needs. It demonstrates how HeyStaks, recording implicit collaboration between users, can unlock powerful personalization features.

Take a look below.

We’re planning to release a range of similar videos over the coming weeks and months, showing the power of HeyStaks’ products in a range of different situations.

Context-defined Communities & Personalization

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Our short- and long-term context defines who we are and what we’re interested in. Furthermore, when we can automatically identify others who have a similar contextual makeup and group them together, a powerful form of personalized recommendation is possible as we search and browse. As we go about their daily lives, our context changes. While engaging in projects at work, taking up new hobbies, attending events, using apps and searching on particular topics, these activities reflect our interest profiles. Some interests are long-lived, such as an interest in science, a career in a particular field or an artistic hobby. Others are more short-lived, such as attending an art exhibition, listening to a talk at a conference, frequenting a store or executing a Web search. Short-term interests can often be connected to long-term interests (e.g. listening to a talk at a conference is usually linked to a long-term interest such as a career), and in general we can characterize both short- and long-term interests as elements of a person’s contextual makeup.

 

HeyStaks Keynote Example

 

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