third-party data

When data and metrics cause companies to make bad decisions

When data and metrics cause companies to make bad decisions

As detailed last week by Econsultancy’s Rebecca Sentance, Facebook’s faux pas with metrics it supplied to advertisers and publishers are causing new headaches for the social networking giant after a group of advertisers suing the company are claiming that the magnitude of Facebook’s errant algorithms, which inflated a number of metrics, was much higher than previously reported.

Will digital phenotyping ever be applied to pharma marketing?

The landscape for pharma marketing is changing rapidly and pharma companies are being forced to rethink how and to whom they market.

For example, it’s now reasonable to talk about the possibility of a pharma company shunning sales reps entirely and instead using digital channels to reach healthcare professionals and patients directly – an approach that probably would have seemed unthinkable less than a decade ago.

What are first-, second- and third-party data?

I’m not trying to teach anyone how to suck eggs here. Perish the thought.

But let’s face it: some of you probably just smile and nod when somebody starts going on about the merits of ‘second-party data’. 

Sure, everyone knows what these terms mean in principle, but in this post I’m going to break down three key types of data – first-party, second-party and third-party – and explain what they all mean, where the different data sets come from and the pros and cons of each.