This allows you to create groups, or categories, on your final recommendation page.
It looks like this in Prehook:
This can be helpful in various use cases, for example:
Offering a routine for your products – Like a skincare brand could have a cleanser, moisturizer, and serum in their routine)
Grouping products by use case – For example, a vitamin brand can categorize recommendations based on vitamins to take in the morning, afternoon, and evening)
Upsell and cross sell – You can offer additional products that are ideal for good complementary products
to upsell or cross sell.
If you’re looking for a way to improve conversion rate (by simplifying the buying process), boost AOV (make it easier to add to cart), and generally create a smooth buying experience, this is your answer!
If you need help getting it set up, just hit reply and I'd be happy to help, or help docs are here!
The activity, and innovations, will become even more evident in 2022.
As noted in Modern Retail, “Web3 represents a decentralized internet infrastructure based on blockchain technology.”
And NFTs (Non-fungible tokens) are built on Web3 technology.
And it’s use cases and value are starting to emerge in the ecommerce space.
Shopify is slowly starting to beta test NFTs on Shopify Plus stores.
We’ll start to see many brands incorporate NFT into their product and marketing strategy–in fact many have already, including The Hundreds, Adidas, Under Armour and more.
Here’s what I appreciate from my conversation with Tyler “Sully” Sullivan:
He is in a highly competitive niche with big players (golf equipment), and runs a super-lean operation at BombTech Golf, hitting $30 million in sales.
And he continues to grow the business while working a few hours a week.
It’s a great example of empowering the team,
remaining focused, and growing intentionally (as opposed to unprofitable growth reliant on paid channels).
The metric that he uses to track marketing spend and ROI: Marketing Efficiency Ratio.
It’s basically a blended cost of all revenue divided by marketing spend (thanks to iOS changes and challenges with attribution).
So for example, if you have $30k in sales for a given day, and spent $5k, that’s a 6x MER.
Sully aims for 4x, but an ideal benchmark depends on each company.
I like this calculation a lot, as it removes any messiness of attribution windows, crediting the proper channel, etc.
It’s an example of how Sully approaches the business: simplifying things, and focusing on creating a great customer experience as the utmost priority.
One
other good trick he shared: send plain text emails.
It encourages engagement, which reduces the likelihood of emails landing in Promotions or Spam.
And the engagement has been a great channel to learn from customers, and build trust.
