In their 2019 survey report entitled Attribution Digital Marketing’s Broken Promise, QueryClick uncovered the fact that digital marketers were being pressured into sub-optimal investment strategies due to issues ranging from over-simplistic last-click measurement approaches to saturation on key platforms like Google and Facebook.
The findings are intriguing – and they wanted to share some of them with you.
The majority understand data and attribution model requirements
The vast majority of respondents (94 per cent) are at least somewhat confident that they understand their attribution models and how they’re working across channels – and confidence is highest among those with digital marketing budgets of £1 million to £1.99 million.
This is interesting for us – not least because this headline stat is completely contradictory to some of the more telling stats that we will come to later on the detail and accuracy of these attribution models output.
And it highlights a number of recurring themes we come across regularly:
- The ease with which big brands like Google, Facebook, and Amazon create a false sense of security around their reporting – which we know has issues.
- Deeper analysis that shows that around 80 per cent of data from Google and Adobe clickstreams is inaccurate due to broken or incomplete sessions.
- The fact that none of this data takes into account incrementality due to its siloed nature.
Marketing attribution technology has a central role to play
What is clear is that there is little disagreement about the importance of marketing attribution technology.
Ninety-eight per cent of respondents consider attribution technology to be at least “somewhat important” – although over 10 per cent admit they don’t get around to doing it. While nearly one-third consider attribution to be “very important” to their marketing approach.
And this figure jumps up to 57 per cent when you look specifically at those who are tasked with improving marketing performance.
Forty-three per cent of Performance Marketing Directors see data issues
Interestingly, nearly 80 per cent of respondents believe they have accurate web analytics data in place – again perhaps as much a reflection of the power of Google and Adobe brands have, in reinforcing belief in the quality of their own products.
However, in practice, that is undermined by the data’s inability to deliver effective attribution.
And digging into the data a little more reveals some interesting divergence in views depending on role as follows:
- Only 7.5 per cent of Heads of Data believe they are working with inaccurate data.
- While the figure jumps up to 15 per cent amongst CMOs.
Could that be due to optimism bias rather than a reflection of the real situation on the ground?
But it’s when you take into account the views of Performance Marketing Directors that the cracks really begin to show with 43 per cent of them believing that their data is “not very accurate”.
The responses to these questions are a telling and damning indictment of today’s approach to web analytics for retailers.
Given the billions of pounds of revenue flowing through these systems every single day, it is frankly astonishing that nearly half of those responsible for performance believe that Google and Adobe’s systems are not very accurate. Ultimately preventing any fair and open scrutiny of media spends.
Given, that according to the IAB, around half of all digital media spend in the UK is also allocated to Google, the underlying frustration of marketers is clear to see in these results. Alongside other issues around:
- Ensuring effective spend and assessing ROI.
- Challenges around assessing offline media and digital media spend.
- The fact that data to support multi-channel decision-making is broken.
- The lack of a single, unified customer view on attribution.
All of which we explore in more detail in the survey. Download your copy now.