Add To Cart: Australia’s eCommerce Show

90% of TileCloud customers buy a $15 sample before they buy tiles. Product seeding still works. Most brands just judge it on social coverage and kill it when the posts are thin.
This Playbook is anchored by Taryn Williams, founder of #gifted, which runs product gifting between 11,000 creators and 5,000 brands. She argues the real return is the dinner party conversation you never see.
In this playbook, we cover three things ecommerce operators need to know about turning product seeding into word of mouth:
Choose who gets product by the moment it's built for, not by follower count
Remove the real barrier to trial, because a sample doesn't have to be free
Pick one specific number before you send anything
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Explore #gifted
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They found 30+ new collection pages hiding in their own product data.
Charbel Raffoul from StudioHawk and Luke Rainsbury from Cooper & Co. turned an SEO and AI-search program into +125% organic revenue and more than 10x AI-referred sessions. This one gets properly nerdy on how search actually works now.
In this episode:
Collection pages - the biggest, most-missed SEO win, and what a good one looks like now
Digital PR - how a first-home-buyer suburbs study built brand authority and AI visibility
The AI shopper - why they buy differently, and what to put on your product page
Connect with Charbel Raffoul | Explore StudioHawk | Connect with Luke Rainsbury | Explore Cooper & Co.

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Then Temu copied all 4,000 products overnight.
Warwick Levy has run Lonely Kids Club for 15 years with no investors, printing every order by hand. Then Temu scraped his whole store and undercut him at half price.
In this episode:
The Temu takedown - how a trademark, not copyright, cleared a thousand listings
Print-to-order - thinner margins, no dead stock, a 4,000-product catalogue that works
Doubling traffic - the six-hour SEO audit that beat 14 months of agency retainers
Connect with Warwick Levy | Explore Lonely Kids Club

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Every job on your list looks worth handing to AI when you only count the hours you get back. The upside is everywhere, which makes it a terrible place to decide from.
What actually sorts one priority from the next is the downside. What happens when AI gets it wrong, and who finds out first: you or your customer? Justin Bausch learned that when his customer service autopilot told people who'd paid for framed art that they'd only bought a poster.
The brands getting this right do three things differently.
In this playbook, based on a conversation with Justin Bausch, founder of Style My Wall, we cover three things ecommerce operators need to know about deciding what AI runs in their business:
Know your worst case before you automate: who finds out first, and what it costs to undo
Work out whether a rough patch is bumpy or a showstopper, and write the pass mark down before you switch it on
Give every automation an owner, a check-in and someone who can switch it off
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Explore Style My Wall
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Every ecommerce operator is being asked what they should hand over to AI. Most answer by looking at the upside, and the upside is everywhere.

What actually separates one automation from the next is the downside: what happens when it gets it wrong, and whether you or your customer finds out first.

The brands getting this right do three things differently.

In this playbook, based on a conversation with Justin Bausch, founder of Style My Wall, we cover three things ecommerce operators need to know before letting AI run part of the business:
Know your worst case before you automate anything
Learn the difference between a bumpy rollout and a showstopper
Give every automation an owner, a check-in and someone who can switch it off

Connect with Justin Bausch
Explore Style My Wall
Subscribe to the Add To Cart newsletter 
SMS us to Suggest a Guest
Connect with Nathan Bush
Join the Add To Cart Community