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IREU Top500 Brand Engagement Dimension Report 2018

IREU Top500 Brand Engagement Dimension Report 2018

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GUEST OPINION Behavioural segmentation and targeting – searching for the sweet spot

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GUEST OPINION Behavioural segmentation and targeting – searching for the sweet spot
GUEST OPINION Behavioural segmentation and targeting – searching for the sweet spot
Consumers are demanding a more personalized approach to how brands target them. Yet, while most retailers understand this, most don’t know how to make it happen. Here Michael Schirrmacher, UK Sales Director, Webtrends, explains how you can make it work for you

In an increasingly competitive marketplace, businesses are striving to deliver valuable, relevant and personalised experiences for customers online. Whilst 74% of businesses know the benefits of personalisation, only 19% are actually doing it. Consider then that 75% of consumers are willing to have retailers use their personal information if it results in an improved shopping experience (75%) and it quickly becomes clear that a disparity exists. The difficulty here is that the ‘right’ experience can differ for each customer. Consumers today are far more empowered and have come to expect speed and ease-of-use through all available shopping channels.

This is where behavioural segmentation and targeting comes into its own. By enabling businesses to deliver content and a tested and proven online experience, segmentation can identify and engage high-value customers with the most relevant content across a multitude of digital channels. This information can help prove, or disprove, the current marketing strategies of a business and guide future planning through a deeper, more accurate and evidenced understanding of customer behaviour.

How it can be done and what is needed

Behavioural segmentation can be achieved by using data collected from the customer, such as device type, language, geographical location and specific visitor behaviours whilst active on the site. Recently released solutions have that the ability to capture all of the customer’s actions in real-time, as soon as they occur. For example, John searches for holiday packages in America using a search engine, his actions are noted as soon as this search takes place and every page thereafter. Once John has viewed three or more products he is scored as a high-value customer, triggering a highly relevant offer based on his in-session behaviour, such as “book an all-inclusive holiday to LA today and receive 20% off”.

Businesses also have the ability to combine historical, offline and in-session data to achieve a unified view of customers and deliver highly targeted and relevant experiences in real-time.

Social media can play an important role in segmentation and targeting as visitors that are active on social platforms may be less responsive to classic direct marketing strategies. Therefore it may be beneficial to give those users access to inside information and exclusive promotions – instilling a sense of partnership between the user and the brand. Email plays a similar role as recipients can be segmented according to their actions, for example unresponsive, opens or clicks. These segments can then be targeted in new, more effective ways to achieve the business’ goals, such as presenting a more attractive and relevant subject line to increase the click-through rate.

One way of analysing the data collected is through building visitor segments based on real-time insight. Analysis of the data collected can help a brand to discover new opportunities for segments that perhaps had been previously overlooked, and through utilising newly available solutions you can integrate demographic and offline visitor records with the stored online data to segment complete customer profiles and drive action.

How data creates a personalised experience

Data enables businesses to create customer segments in real-time and supports marketing decisions based on up-to-date and current visitor insight. Solutions that offer real-time analytics ensure all results from queries on data are current, rather than historical.

There are also tools available that enable businesses to build both simple and multi-dimensional segments, allowing them to explore the characteristics and actions of online visitors and customers. Brands can use data collected from the behaviour of individual visitors to produce the most accurate segments possible, targeting them with content and promotions that offer a personalised and more positive experience.

Data can also be used to provide relevant content for customers through the use of historical and current insight. For example, a customer browsing holidays in the Mediterranean will receive relevant offers and experiences based on in-session and historical behaviours – such as an email containing a promotion for “50% off holiday packages to Spain” – this can encourage the customer to complete the transaction process. Using data in this way can decrease the amount of emails considered to be ‘spam’ to customers and encourage recipients to open and take advantage of the offers, reassuring them that the communications are likely relevant and of benefit.

Companies are able to identify high-value customers through visitor scoring, a point-scoring system that uses the behaviour of the customer to indicate the likelihood of conversion. However, this mostly occurs after the visitor has left the site and whilst this is handy for re-targeting, there are solutions available that allow in-session, real-time scoring for precision targeting before the user leaves, which can lead to a significant increase in conversions and revenue.

In addition to this, brands are able to build more comprehensive segments based on multiple services, including past, recent and live activity, as well as any offline data, allowing the brand to target the correct content to each visitor immediately. Offline data can include data sourced from customers shopping in-store through customer card accounts or loyalty card schemes that record purchases made, and the time and location in which this took place. With this combination of data, companies are able to build a behavioural pattern for each individual customer and use this information to provide more relevant promotions and offers based on their activity both online and in-store.

Benefits

There are many benefits of using data for segmentation and targeting efforts in order to create more personalised experiences online. Relevance is key for consumers and businesses alike, particularly when it comes to promotional content. This can span all digital channels and the customer’s lifecycle.

Another benefit is the ability to serve multiple marketing efforts by different team members that are creating and using different segments simultaneously based on their specific campaign objectives. This benefits the efficiency of the business and allows each team member to work individually at the same time, but striving towards one common goal. Additionally, companies are able to save money on marketing efforts by targeting each segment specifically, rather than sending marketing materials to every customer regardless of their relevance and simply hoping for the best.

Segmentation and targeting solutions enable a business to provide content, promotions and experiences that are finely tuned to the attributes and behaviour of website visitors. Brands can use in-session data to provide the right experience for each visitor while they are live on the site, dramatically increase the likelihood of converting the visitor to a sale and preventing them leaving for a competitor. This analysis combines historical, offline and in-the-moment data to improve both the performance of online and offline marketing programmes, as well as enhancing a brand’s understanding of customer relationships across multi-channel engagement. Using data to provide a personalised experience for customers and visitors can enhance the shopping process, which in turn benefits the brand reputation, conversion rates and revenue.
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