Sandals and social media
Posted in Case study, Social media, measurement on July 23rd, 2010 by Catherine PryceMeasuring media spend…the million dollar question with a multitude of answers.
Buying Sandals. A thrilling subject of course – but on recent experience, a valuable insight into behavioral media targeting. It also highlighted the still impossible task of defining exactly what media spend drives a purchase online or in a shop.
Media agencies and media owners now draw their handbags at dawn to put their best case forward on who should have the biggest media spend from the clients budget. As a social media agency, we know that more than most.
And measurement is still vital – after all, measuring and proving the effectiveness of a campaign will affect how your next set of spending is distributed.
The journey
Back to the sandals. It started out with a very basic need: summer shoes. Being a tall lass with size 9 feet my choices are limited, so I had already omitted the decision to buy shoes online after previous disastrous experiences. Oiling ones calves to get into riding boots is not a good look. They remain in my cupboard.
Office, a shoe shop based in Brighton, is generally packed at lunch time and I will avoid Saturday shopping at all costs. So a couple of weeks ago, I prepared myself by looking online at their shoes, prompted by the first touch point email.

Ooooh! 50% off, click through, have a look around. Yes these are the ones that I want. Something for every occasion and a size 9. Hooray.
Since first visiting that page on the Office site I experienced a few PPC ads on various sites including The Guardian. All good, I am impressed with their PPC efforts and I love it when media works well. But I have been to the site already, so I don’t click through.

Pay day arrives, I see an update from Office on Facebook telling me that there is now 60% off shoes. This is even better. Armed with the knowledge of what I want this should be a quick and easy process.

Kerching. The purchase was made and the shoes are on my feet.

So what made me do this?
Did I already know what I wanted and would have bought them anyway or was this due to advertising/social media?
The answer is a blend of it all, which leaves the million dollar question answered but highlights the fact that a tipping point to make a purchase comes from all directions. In an ideal world, the chap in the shop that took my money would have asked me “How did you hear about us and what made you buy those shoes?” which would have warranted a lengthy response from me. “Well, I saw your email, I know that you do size 9, then I saw a Facebook update and an advert on The Guardian…. Does that help?”
What is important is that Office were with me every step of the way, I had both concise offers directed at me on Facebook and email as well as unavoidable PPC advertising on mainstream news sites that I visit every day. The opportunity to see, I would guestimate at 15 times per day.
How this can work:
If I had bought my sandals online, Analytics would have tracked my journey to the check out, insight may have shown that I was on Facebook then clicked to Office to buy shoes. But as online browsing habits are frequently erratic (I generally have at least 12 tabs on the go at the same time) there is no certainty that it happened this way. But, it’s a good indicator.
Where it failed:
I purchased my sandals in the shop: for the few days following this I have still been shown adverts for said sandals repeatedly on sites from PPC. I have them now; I don’t need any more thank you! So what was at first a great example of some Paid Search is now frustrating and a waste of their money.
This is not the Paid Search managers fault- how are they to know I have already bought them? Do I need to take a picture and update that I have them? Would that be picked up? In an ideal world perhaps but as we know you can not manipulate the masses to behave how you want them to.
What we can learn from this:
All departments need to work together, set KPI’s that are relevant to each other and share benchmark data at the start of a campaign. This needs to be a process that constantly evolves (and is shared) to get better with not only each campaign but each DAY of a campaign to make the marketing budgets really work for the client.
(This is where PPC and Social Media work brilliantly together- daily analysis and changes reflecting behaviour.)
Only when the bigger picture is considered will we be able to better understand the overall paths taken to make a purchase and get closer to answering the question: “What half of my marketing budget works?”.












