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Part 1  Introduction Magiq makes this information available in two forms: 1



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[Chaffey, Dave] Digital business and E-commerce 2nd book

Part 1  Introduction

Magiq makes this information available in two forms:



as real-time profile information, so that HRS can write Triggers to present specific 

pieces of content for certain types of user. So for example, if a customer has indi-

cated that they are an SME or procurement manager, then the Trigger can ensure 

that information relevant to them is injected into the pages presented. By using the 

Magiq historic customer profile Magiq ensures that the right information is provided 

on each visit, even if the user does not re-identify themselves.

as customer lists. Magiq provides lists of people who are being very active (indi-

cating that they may be ‘ready to buy’) and would benefit from a call from HRS’s 

sales teams, and it also provides lists of people who look ready to defect (because 

they were regular users, but have stopped arriving). These lists are downloaded by 

HRS’s sales and customer support teams to help them target their activities and 

communications to the right people with the right message. Because Magiq pro-

vides all the contact information for each visitor (which the visitors provided to the 

website), together with the data that identifies the customer segment they are in

this communication can be very accurate.

FBTO was one of Magiq’s early beta customers. It is an insurance company, and 

used Magiq’s data to personalise the home page for different segments of users. The 

company identified four stages of engagement in the brand, from users showing an 

interest in a specific product, to users who had purchased a specific product. For each 

segment and for each product group FBTO created a small banner which provided 

specific information for users in that segment on the product group of interest.

By making this simple change, FBTO increased its conversion rates by 15%.

It also used the data to allow its call centre to contact people who looked to be on 

the point of buying, but had not made their purchase online. Targeting calls in this way 

produced a campaign that resulted in a sale to one in every three people called.




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