Co-Founder @ ATTN Labs | Scaling E-Commerce Growth

As the co-founder of ATTN Labs, I help growth stage eCommerce brands (10-100m arr) scale their new customer acquisition.

We do this through relentless problem solving,

focused on driving new customer acquisition.

This means relentlessly testing campaings and tracking results.

Looks like this:
↳clear reporting & communication
↳incrementality focused marketing
↳real-time reporting with your team
↳solving your problems (not the ones we've decided are important)

We've worked with some of the fastest growing brands of 2022-2023 in these categories:
↳ retail
↳food & Bev
↳snacks
↳supplements

We like to work closely with a select group of clients.

This allows us to work with them on:
↳ CRO
↳ creative development
↳ influencer recruiting and whitelisting
↳ thoughtful channel expansion
↳ retention, upsell/crosss-sell programs
↳ product bundling and offer creation

Basically we like to take on the whole DTC growth piece,

but, 

we are open to starting small.

If you are interested in learning more click the link at the top of my profile,

or, click through on my featured section to book a call.,

Ian Lenny

Are you a DTC brand that wants to go $0->$5M in the next 18 months?

Here are 32 actionable pieces of advice, delivered in 1 line.

(#19 is the most underrated)

Foundations:

1. Find your problem 
2. Have evidence you can solve it better cheaper or different
3. Select 3-5 distribution partners before you launch.
4. Get whitelisting contracts in place
5. Book 2-3 podcasts per quarter at least 6 months out
6. Refine customer understanding through initial customer interviews
7. When you have too many customers transition to surveys

Media Buying I:

 8. Meta is THE demand gen channel for DTC brands
 9. If you don't agree see Triple Whale BFCM spend roundup by channel
10. Experiment aggressively with creative
11. Experiment carefully with campaign types
12. Understand how Meta ad auctions work (actually read documentation)
13. Retargeting is an adjunct to retention marketing 

Media Buying II

14. Google is a crucial part of DTC paid media 
15. Understand which channels can work for your brand 
16. Have a plan for rolling out the different Google channels 
17. Make sure your attribution can de-duplicate 
18. With 2 channels you need a way to understand cohorts by attributed channel 

Lowering CPAs

19. Create a testing backlog with ad styles
20. Prioritize your tests
21. Create a system for creative feedback (Motion to start)
22. Find or recruit UCG creators (Bilo to start)
23. You need at least 1 batch per week (Konstant while hiring)
24. Make sure your whole team can see which tests have worked and why
25. Create channel and offer specific landing pages
26. For inspiration click through on ad library creatives to non-PDPs

Not Losing Money

27. Setup basic cohort analysis using something like Lifetimely by AMP 
28. Check product specific cohorts focusing on 120-day LTVs
29. Are your lower CPA offers creating high LTV customers
30. Don't forget about coupon codes and influencer commissions 
31. So we're analyzing cohorts by "gross margin" not revenue
32. Regularly check your actual P&L

What am I missing?

Tell me in the comments.

Formtoro.com - Zero Party Data Ecommerce Strategy

I run a software company called Formtoro which is purpose built to collect and analyze customer data in combination with ad and sales data for ecommerce brands.

I also run marketing and strategy for Krakatoa Underwear, a mid-7 figure ecommerce Direct to Consumer high end men’s underwear company.

Prior to Formtoro and Krakatoa Underwear I ran marketing and customer support for LIFX leading to acquisition.

I’ve been involved in marketing for 20+ years.

My motto is work smarter, not harder, and let data lead.

Always up for a chat about the industry: calendly.com/jonivanco

I've open sourced my entire strategy at ecomwithjon.com

I love zero party data and data analytics and a good debate around them.

🏌🏼‍♂️Jon Ivanco

Popup Opt-in rates are a scam.

On one side you're just giving away margin to get an email that you'd get anyway when someone converted.

On the other if you are collecting a data point you don't have enough time to use it on the person that provides it because those that check out due so in less than 12 hours.

I'm going to say it, it's a KPI that I've gamed a lot.

This doesn't even take into account all the same existing customers that are just signing up under different emails...

Or my favorite the Apple ones that hide their emails every time.

An email list is only as good as the amount of people that sign up and convert and that happens as a result of the messaging that drove the traffic.

So here's the flip, use this interaction to build a statistical model around what messaging you should be using on people that converts the highest.

That's where the real magic comes from, else you're chasing vanity metrics that don't mean anything.

🏂Jon Ivanco

Marketing Automation via Intelligent Data Layers

Last night I figured out something that had been bothering me for years around popups. 

It’s manual now and we’ll start testing this week. 

But it’s an evolution of getting data from every first time purchaser that uses a generic coupon code. 

It’s pretty cool. 

This solves one of the biggest trade offs with discounting on first orders and silent profit leaks. 

Yes I’m posting again because I’m back to building systems that solve overlooked problems. 

Clean the data. 
Put it into content systems. 
Automate marketing. 

I spend a lot of time questioning systems and building work arounds before we consider how to implement them seamlessly behind the scenes. 

This is going to be a big update. 

Small change. Huge impact. 

No one is doing it. Guaranteed.

taplio

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The Battle

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🏌🏼‍♂️Jon Ivanco

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