Analysing my business purchases
I was listening to a podcast episode about attribution and it got me thinking about the business purchases I’ve made in the last year or so, and specifically:
Here’s how it breaks down:
Here's the data in pie chart format:
Thoughts and observations:
Organic search: important, but easily over-credited
75% of the purchases that would have been attributed to organic search were actually due to other reasons.
If I want to visit a website, I don't tend to write out www.companyname.com in the address bar. Instead, I'll search 'company name' on Google and then click on a link to the website. Where I already know the product I want to buy, I'll almost always arrive on the company's website via organic search, and while I used search to get there, I won't have actually been 'searching'.
This being said, close to 1 in 5 of my purchases were genuinely due to organic search (ie, where I didn't know who I would buy from before searching, and selected a vendor from a set of search results).
Organic search was the 3rd most likely reason for me to buy something, and arguably the number 1 'marketing sourced' reason (the only reasons that beat it were recommendations, me using a product before, and other people mentioning a product in my LinkedIn feed).
The two most likely reasons why I bought things are the hardest to track
I was most likely to buy based on recommendations and people mentioning a company / product in my LinkedIn feed.
Without asking me, the companies I bought from would have no way of knowing this was why I'd bought from them - and none of the companies I bought from asked me why I bought from them, at any stage in the buying process, as far as I can remember.
My buying behaviour doesn't fit into a simple category
Even taking one person’s buying behaviour over a fairly short period of time, the reasons that I bought were varied.
It would be difficult to categorise me as having a particular type of buying behaviour, and I’d suspect that this would be the case for the vast majority of people.
For example:
B2B buying decisions are like an iceberg
When I was gathering the data for this article, I listed out the things I'd bought, asked myself 'why did I buy that?', and then wrote down the most salient individual reason that came to my mind.
For 6 out of the 17 purchases, it was difficult to choose between two or more reasons that felt equally influential.
For example:
Softphone 2
I bought Softphone 2 because someone recommended it. But the full story was:
In this case, I feel it's fair to attribute the purchase to the recommendation, rather than the SDR outreach, because I probably wouldn't have responded to the outreach without the recommendation. But then again, I might not have taken action without the outreach, or I might have been contacted by another softphone vendor that had the feature I was interested in and bought from them instead.
In this case, a recommendation created the demand, and the SDR outreach captured it.
Website builder
I bought my website builder (Squarespace) because I'd bought my website domain from Google - after I'd bought my domain, Google suggested a selection of website builder partners to choose from:
领英推荐
But why did I choose Squarespace over Wix, or one of the other options?
Over the last 10 years, Squarespace have advertised on a couple of podcasts that I'm a big fan of. So when I saw the selection of website builder partners, I immediately picked Squarespace because:
Without this podcast advertising, I don't think I would have been familiar with Squarespace, and as a result I don't think I'd have been any more likely to choose them vs any of Google's other website builder partners.
Squarespace didn't ask me why I bought from them, or how I'd heard about them, so their years of podcast advertising went uncredited. (Squarespace have also, as far as I can tell, stopped advertising on the podcasts I listen to.)
Business bank
I chose my business bank via a Twitter ad. But the full story is more complicated:
It's probably fair to say that the reason I bought from Neobank 1 was just as much down to the traditional banks' poor buying experience as it was to Neobank 1's Twitter ad.
It's worth acknowledging that I had heard of Neobank 1 before seeing the Twitter ad due to press coverage, and I knew that they were headquartered in the UK, and these factors also played a role in my decision.
Automation software 1
I bought Automation software 1 because I searched for the product category on Google and their website came up.
However, the story of how I got to that point is much more complex:
I think it's unlikely that I would have found Automation Software 1 without the SDR outreach from the other company making me aware of the overall category. So in this case, the demand was created by another company's SDR outreach, and captured by Google search.
Outbound acts as an inertia breaker
I didn't credit outbound as being the main reason I bought anything, but twice it served to jolt me into action, and without it I probably wouldn't have made two purchases.
Interestingly, it served to both capture demand (Softphone 2) and create demand (Automation Software 1 - although in this case I ended up buying from another company).
Implications
The main points I've taken from this exercise are:
The value of self reported attribution / asking your customers why they've bought from you
There's a famous quote from David Ogilvy that says: “Consumers don’t think how they feel. They don’t say what they think and they don’t do what they say.”
So while asking your customers why they bought from you is not necessarily going to lead to perfectly accurate data, it's probably going to be far better than relying upon digital attribution.
Embrace the diversity and complexity of buying behaviour
My buying behaviour surprised me because I thought it would fall into a clearer pattern or category.
If even within one person's buying behaviour there's so much complexity, the behaviour of your entire ICP is going to be infinitely diverse.
Perhaps a useful question B2B marketers can ask is: how can we profitably cater to as broad a variety of buying styles, moods and preferences as possible.
Further reading and caveats
I've been listening to a lot of Chris Walker's podcast Revenue Vitals recently, which was what got me thinking about this topic. While I don't see the world of B2B in exactly the same way as Chris, I think he has very clear and compelling ideas about marketing and sales and its direction of travel - so I'd highly recommend checking out his podcast / broader work.
Caveats: