Still using Last Click? Let’s talk about why you should start asking some hard questions and not just using last click to decide how you spend your money and time. A lot has changed in the last decade but everyone still struggles with attribution.

Video Transcription Below. Enjoy and don’t forget to leave your comments below.

Good Morning.

My name is Duane and hello from beautiful Quebec City. You may remember me from such conference stages as MozCon, BrightonSEO, HeroConf and SMX.

Today I want to talk about attribution because a few years ago I attended a conference in Portland, Oregon and had an amazing time. Great food scene and tons of stores to do some shopping. Since then I have gone back and keep wanting to continue to go back.

However, a few of the topics at the conference talked about attribution and moving us beyond last click (or even first click). Everyone seems to be very set on using position based attribution for their model of figuring out how to assign sales and conversions to different channels in their customer journey.

What Is Each Attribution Model?

A quick primer on different attribution models. There are several types of attribution models:

  • Last interaction attribution model – This model assign 100% credit to the last interactions. Google Analytics uses this model by default. Also known as last click.
  • First interaction attribution model (popularly known as first touch attribution model) – This model assign 100% credit to the first interactions. This is what Google AdWords and Bing use.
  • Linear attribution model – This model assign equal credit to each interaction in a conversion path.
  • Time Decay attribution model – This model assign more credit to the last interactions before someone became a customer.
  • Position based attribution model – This model assign 40% credit to the first interaction, 20% credit to the middle interaction and 40% credit to the last interaction.

Using a position based attribution while saying all first & last clicks are the same value is odd. What if one channel is bringing in a higher valued customers with a higher lifetime value (LTV) than another channel? Isn’t that channel worth more to the business?

If that channel is worth more, that starts to make any model you build utterly more complicated. Not to make anything more complex but Google also now has data driven attribution, which I thought was new but it seems to be something that Google Analytics premium customers have had for a few years now.

I don’t have all the answers but I know paid search drives a lot of top of the funnel conversions for clients I’ve had over the years even if that person converted from another channel on the last click. How much of that sale should paid search get is the question I still ask myself. This of course does not take into account the last click conversions that paid search is known for.

The fact some channels or customers may be of more value, means there are some questions each company needs to ask themselves if they want to move beyond last click. Making sure that everyone is on the same page is going to make life easier.

3 Attribution Questions To Ask Your Data Team

If you’re trying to figure out multi-channel attribution and all the different models you could choose from.  Than you’re drowning in options and where to start from. The three questions below will help unify the team and make sure everyone is on the same page.


How Will We Define Success?

I think trying to figure out what success means beyond the initial campaign is import. Success can’t be defined within a campaign launch window. Many potential customers may start their journey with your company with this campaign… if it’s the starting point and not the end point when they buy. Then you have to understand how that campaign can help grow your business and if you have to put more money into its success.

What Should Our Success Framework Look Like?

Every brand has different goals and conversions. Figuring out if your latest campaign has contributed to more than one goal is a good starting point. Maybe you thought a campaign would achieve one goal but after looking at all your campaigns, you find out the campaign and other similar campaigns was better for achieving a different goal. 

Having that information means you can better align your campaigns with the goals you want to achieve. One other area I looked at was budget, only comparing campaigns that spent a certain budget is a good starting point because it gives you a baseline to judge all campaigns on the same level


What Is Our Attribution Window?

Knowing how far back you should look at customer interactions with your company will help you understand if you’re being successful and if your framework is starting to take shape and make sense. I’d look back at 90 – 180 days as a starting point because it’s a long enough window to get an idea if your campaigns and attribution is starting to take shape and give you meaningful data that you can turn into information, which then turns into action. 

The Path Forward

To judge the success of a campaign, beyond getting a customer, I’ve started to look at longer attribution windows and also look at different goals within our organization. Even running tests around turning off remarketing or brand campaigns to see what affect that is going to have on performance.

I’m starting to only hit the tip of the iceberg and though my model is rough and could use work. It’s a starting point and you have to start somewhere or you’ll never get anywhere.

The last few weeks have reminded me of a good post a few months back looking at 3 top UK retailers and how they have grown up and handled going from last click to multi-channel attribution. A line from the article I like is…

… ensure that the data is presented clearly and the journey of events is one that tells a story…

At the end of the day the data has to tell a story and it’s not always the story you want told but one that needs to be told.

Conclusion

There are half a dozen or more questions you will ask yourself as you go through this process but you have to start from somewhere. Good truly is better than perfect and if you don’t start then you can’t grow your business in the long run.