The internet moves fast. You forget how fast sometimes.
Here is an excellent presentation on how AdTech has changed and evolved from a presentation and technology perspective since 1993.
It was put together by Maciej Zawadzinski – and if you’re a Marketing maven – that has an interest in programmatic buying, adtech, or want to see just how crap the first online banners were – read on…
I’ve been talking to a some very interesting companies – and one of the big questions that I’ve been asking them, is how do they break down the online sales process and assign a correct weighting to the channels that contributed to the sale.
The “sale” could be a sign-up, could be a deposit, or a purchase – basically anything that is core to how you’ve set-up your funnels or goals.
What’s been interesting is that there still seems to be a real struggle to move away from a simple “last click” metric to a model that assigns a weight to the different online channels that may have significantly contributed to the sale.
For example, let’s say someone was buying a new coffee-maker. They may Google it first, and end up on a coffee-maker site, browse a little and leave. They then go to another site that is on an ad network that’s retargeting and when they are on that site they are presented with a banner (from one of the coffee sites that they’ve visited), they click on that banner and go back to the coffee site.
Still haven’t purchased though!
Often the final step, when the decision process is done – is price comparison, so the coffee-buyer goes to a price comparison site, gets the best price and ends up on the first site again, as it has the product they are looking for at the best price. Now they decide to buy.
Under the “last click” model – the sale is recorded under the affiliate channel (more costly to the vendor), and when the coffee site owner analyses the sales results, the assumption is that the affiliate channel contributed 100% to the sale – therefore we need to invest in the affiliate channel more.
However, it’s clear that there were actually a number of different online channels that ultimately contributed to the successful sale. SEO contributed, paid media contributed, as well as the affiliate channel.
This is where marketing attribution comes in.
Adobe published an interesting study at the end of 2012 that offered some interesting insights into how companies attitudes and approaches to marketing attribution.
700 companies surveyed. Only 54% carried out any sort of attribution but of those that did 89% said that it had a positive impact on the business. You can see the report in more detail – here.
The #1 barrier to being able to implement successfully, seems to be a technical one. Based on my own experience, it’s newer, nimble, tech-savvy firms that have the technical smarts and the know-how to be able to implement marketing attribution better.
Knowledge is less “siloed” than it is in older, larger firms. There is a more holistic approach to data interpretation that older firms are struggling with.
The single-click model can also hold a lot of sway when it comes to internal politics in companies as the SEO team don’t want to lose success to the Affiliate team who don’t want to lose out to paid media – so people tend to fight for their “last-click” success. This needs to be addressed by Management – and people need to be made aware the it’s all about overall business success – rather than short-term team gains.
Slingshot SEO did a year long study that analyzed more than 23 million multiple-interaction conversions across 30 domains (including large retailers and service providers) and they concluded that:
Derek Tandgren from Adobe also pointed out that “…Marketers must decide if it’s worth investing the time and resources into using the system, and whether or not it will give them any insight into their business….”
Cluster & establish baselines: Use the database that you’ve already got to cluster customers into groups. Look for similar patterns of behaviour from the data that you’ve got. Are your lower value customers coming from Paid Media or Search? Use these to formulate baselines of behaviour.
Regression Testing: When did people STOP doing the behaviour that you were looking for? What was the last action that they did – and what were the last inbound touchpoint. (It’s important to discount outbound marketing here ie: email – as it’s all about the customer’s last experience of you – and less about what push marketing that you’ve done in an attempt to reactivate.)
Integrate your Analytics: An obvious one, but one that can be a significant challenge to many organisations. CRM analytics need to be linked to Google Analytics that need to be linked to your other metric touchpoints. Ensure offline is accounted for and that your mobile analytics don’t get lost in the mix.
What tools do I think are good?
Google Analytics. Optimove. Omniture. comScore Digital Analytix. Qlickview. Find them via Google!
There’s some good reading out there too on this – it’s worth checking out:
Some good scholarly articles here.
Data driven marketing attribution models here.