Two great ways to use data to inform your business-to-business marketing strategy
Via Marteq
Luca Naso's insight:
Nowadays the customer's journey is more complex than the classic "sales funnel", it has several touchpoints and continuous back and forths. Companies need an automated system to collect, analyse and leverage all of the information produced along the way.
How to do that? Two common methods are: 1. Lead Scoring, to improve efficiency of marketing strategies 2. Predictive Analytics, to anticipate behaviours and improve ROI
You probably don't have big data, and you really don't need it. So long as you have a good MAP implemented, you can take advantage of all these benefits. It just requires a bit of smart upfront work.
Big data is becoming increasingly practical & critical in B2B, with maybe less focus on statistics & more on meaningful usage, to optimise leads & predictive behaviours.
Big Data is one of the latest trends to shake up the sports world.
Luca Naso's insight:
How can Big Data affect sports? More than what one might think. here are two examples.
1.
Professional sports has started to implement Big Data analysis into player evaluation processes.
The MLB, for example, is using a new technology, called FIELDf/x, that tracks and digitally records the position of all players and hit balls in real-time, thus allowing teams to sift through data and better analyze the defensive efficiency of specific players.
2.
Can you imagine a system that automatically follows your favourite sport events? That gives you real time reports, that posts on the social media that you actually care about, that personalises the text only on the event that you follow, that sifts through more than 100 years of stats?
Stop imaging, Automated Insights is doing just that, and more: the content sounds like a human wrote it.
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You probably don't have big data, and you really don't need it. So long as you have a good MAP implemented, you can take advantage of all these benefits. It just requires a bit of smart upfront work.
Great piece on how to tackle big data.
Big data is becoming increasingly practical & critical in B2B, with maybe less focus on statistics & more on meaningful usage, to optimise leads & predictive behaviours.
Who has concrete case studies about it ?