One way to challenge big brands is to leverage data.
Amazon, Nike, etc. All the big names are into "big data" since a few years now.Sounds complicated. Sounds something like you can achieve only with a few millions in the bank.It's not.
There are several ways big data pays off instantly - and turns into revenue. The 3 main ones are:
Two main reasons:
Big retailers are good at this. Because of their volume and history, they're good at predicting behaviours.
What can you do?
Shopify and Amazon offer good reports for this.
The more data you can acquire about your customers, the better.
It's easy to send a survey and questions.
It's another deal to send regular surveys and accumulate knowledge out of all the datapoints you can get - and then use them in another channel.
So what should you do?
This one's tricky - because it depends a lot on your CRM. My rules of thumb:
What's one of DTC powers over retail, even now?
In retail, everyone will always see the same products, same price tag, same billboard.
Not online. The products you see, the reco, the headlines. Everything can be personalized & improved for conversions.
Here, there are two enterprise-level tool you can use FOR FREE.
Hope this helps. I have been reading too much useless "big data for DTC" click bait articles and got frustrated.
Hope this blog post is not useless. Take care of yourself and I wish you can get 10 minutes for yourself and your love ones today ✨
I'm sharing here a proven tactic that drive results to get back at least 25% of your lost checkouts, while the e-commerce average is around 8%.
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