I'm being relentlessly pursued across the internet by all the 'smart wallets' out there, the super-slim designed card holders made of Kevlar/dinosaur bone.
I'm not sure where or when I gave off any signal that come the start of 2024, I need one of these things urgently (ignoring the fact 99% of my purchases are tapped by a phone).
Likewise, I'm not sure where or when I indicated I would prefer to carry US dollar bills in a gangster-sized money clip, or 12 credit cards (if the generic creative is anything to go by). I'm excited by the idea of having something 'military grade', 'camo' themed and 'indestructible' in my pocket (!), but not enough to make an immediate decision to buy one.
But I've strayed into a data set somewhere, one which is being appended to a customer profile seemingly shared by every smart wallet outfit in existence. Every message and creative treatment being the same, every Trustpilot review being 5 stars, negligible difference in price point and all discounting...
Somewhere the planning has clearly gone wrong, or a machine is making the same decisions for everyone. But the perceived 'identity crisis' won't be fixed by a template approach. It always starts with better planning... 👇
So today is the day Google starts to move away from 3rd party cookies. Well…starting with 1% of all Chrome users (obviously all about the suspense!).
Cookie-a-geddon is officially upon us...just a very slow death…
But it still prompted us to revisit an article from Digiday same time last year (link in comments) which outlined the various ways identification could now be supplemented through god-knows-how-many-providers-and-types…and it raised two very important questions…
What data do you even need? And when do you introduce it?
Vital to understand what data signals convert, and what data signals ‘attract’. Start there.
Your customer data is not always a reflection of marketing effectiveness, so chasing look-a-likes (those good old days of matching 3rd party cookies with customer profiles…) might not deliver the returns you hoped for.
Jumping in both feet first to solve your ‘identity crisis’ is ill advised then.
You need to interrogate your customer data to understand what triggered an attraction to your brand/product in the first place. The emotional pull, and what data/spaces would help exploit that.
Then what signals triggered the conversion which follows, the creative tweaks and appropriate channels to deliver it. Funnel marketing 101.
What deterministic/probabilistic data is required becomes a lot more prescriptive from that point, likewise the means to navigate the sea of suppliers who apparently hold the type of data you need, and when best to utilise it.
Planning needs to change in this cookie-less future. How we grapple with identity is sometimes at odds with basic marketing principles.
Happy to be told otherwise... 👇
#marketing #cookies #CookieAGeddon #backtobasics
Google Ads | B2B Lead Generation | E-commerce | Strategist
2moGoogle ads offers Enhanced Measurement conversion tracking through Google Tag Manager. Once it's been set up, Google have attributes related to Email, phone number (name, address also, of you track) and can target audience having similar attributes. One can try it out also. I found interesting the need of CRM data to be linked with Ads account. Thank you Marjorie Vizethann for sharing & highlighting.