Blog : Digital marketing

When recommendation engines go terribly wrong

When recommendation engines go terribly wrong

One of the most popular forms of personalization used on eCommerce sites is the “people who bought this, also bought that” recommendation. The assumption is that people have similar tastes and so if other people are buying the same things, so should you. Sometimes, the intention is to ensure that someone who buys an item requiring additional accessories be reminded of all that is needed before checking out their shopping cart.

Some sites use an algorithm to predict which products should be paired with each other. Others simply tag products and bucket them into groups. Now the latter can same time and money, but sometimes leads to some strange recommendations as seen below on the Tiger Direct website.

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Influencer marketing – Leveraging the Power of Social Influence in Five Easy steps

Influencer marketing – Leveraging the Power of Social Influence in Five Easy steps

In his best-selling book Tipping Point, Malcolm Gladwell examines the concept of influential individuals and how they impact the spread of trends and change. He categorizes them into three groups: Connectors, Mavens and Salesmen.

Tipping Point is a must-read for anyone who wants to understand social influenceWe all know one or more Connectors: people who seem to know everyone. People through whom you could reach a very large population. Mavens on the other hand, are those who are considered experts in a given field by their peers, who know the answer to any question related to that field and to whom everyone they know turns when they have a question or need advice.

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