There are a number of specific life-stage events, or triggers, which can serve as very strong indicators as to when consumers will be in the market for buying specific products – and none more so than moving home.
Clearly, if you’re moving from a house that has 2 bedrooms, to one with 4 bedrooms, you’ll need more beds, but the home-move often triggers a wide range of high value purchases, such as new furniture, carpets, curtains, widescreen TVs, Washing Machines, Dishwashers and even cars.
In fact, we know from years of analysis, that consumers spend 5 times as much on improving their new homes in the first 6 months after a move, than they do in the following 3 years. Put simply, the secret of great retail marketing is… timing.
How can it work for you?
We match your historical purchase data against our database of home moves for the last 2 years, for example.
Our data scientists then undertake a temporal analysis and look for patterns to identify when your customers first inquired and ultimately bought, relative to home moves.
The resulting insights can tell you a great deal about your customers and the importance of home moves to your business – and, with as many as 300,000 household moving home each month in the UK, WhenFresh can show you where and when in the home-move cycle to target your marketing in the future.
WhenFresh has access to a unique blend of over 200 private & public data sources and, by bringing advanced analytical techniques to bear on these vast data assets, WhenFresh is able to precisely identify prospects for you to target at exactly the right time in their home move cycle, both for customer acquisition and retention activities.
To book your demo and find out how WhenFresh can benefit you business, please call us on 0207 993 5818 or complete the short enquiry form today.
The Self-Assembly Furniture Store
Our analysis of customers holding a loyalty card spending over £200 in a single trip to the store revealed a significant peak of purchases over £1000 in the seven days following a house move. This insight allowed the store to effectively target their database around this critical one-week window.