How Loop Sells Smarter Online

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In Partnership with Levanta

How Much Revenue Is Your Roster Leaving Behind?

Open your dashboard and ask two questions: which creators brought in new customers last month, and which commissions kept them posting? 

If the answers are not obvious, your team is guessing where to invest while stronger revenue opportunities go unfunded.

Levanta’s self-diagnostic checks your program against seven warning signs, then pinpoints the roster gap costing you sales before you spend another dollar recruiting creators.

• Hyperice generated $500K+ in one quarter and crossed $100K per month within 30 days, with commissions below 1%.
• JLab tripled affiliate sales as Levanta creators drove 364K+ clicks and contributed 48% of total conversions.
• MISSION generated 3,600 orders in 60 days at a 9% conversion rate and 25:1 ROAS after Amazon’s Brand Referral Bonus.

You leave knowing which relationships deserve another campaign and where your next dollar can return more revenue.

Run it before another month passes with high-potential creators sitting inactive.

Download Levanta’s 7-step checklist to find the roster gaps costing you sales.

📝 Loop's Three-App Customer Experience Playbook 

Ever wondered how a DTC brand builds a smooth path from browsing to buying to returning without losing customers along the way? Earplug brand Loop generates an estimated 7 million dollars in monthly sales, and much of that comes down to three Shopify apps working together behind the scenes.

Here's how Loop uses them:

1️⃣ Quiz Kit AI Product Finder
Loop sells earplugs for different use cases, so guessing the right one is hard for new shoppers. This app powers a one minute quiz customers can take by clicking Help Me Choose in the main navigation. It asks about sleep, noise sensitivity, parenting, or other needs, then recommends products customers can add to cart right away. Merchants get a no code quiz builder plus insight into buyer preferences.

2️⃣ Fast Bundle Product Bundles
To raise average order value, Loop offers 14 bundle formats along with a build your own bundle option. As customers add items, they see exactly what is in their bundle and which discounts unlock at each spending level, making the upsell feel transparent rather than pushy.

3️⃣ Narvar Returns and Exchanges
Instead of losing revenue to refunds, Loop offers store credit to unsatisfied customers and an Instant Exchange option for shoppers who already know what replacement they want. This means the new item ships before the original is even returned.

The Takeaway
Loop's setup shows that customer experience is not one feature, it is a chain of small, well designed moments: help them choose, help them spend a little more, and make it easy if something does not work out. Together, these three apps turn a simple earplug purchase into a smooth, guided journey that keeps customers coming back.

📝 Improve Any ChatGPT Workflow with the Loop Method 

Ever have a ChatGPT workflow that works sometimes but not others? The Rundown built the Loop Method, a review based process that fixes inconsistent skills, project folders, and workflows through repeated rounds of adversarial testing. It was created to sharpen video editing and image generation work, but it applies to almost any repeated task.

Here is how to run it yourself:

1️⃣ Find a Workflow That Needs Work
Open ChatGPT and identify a workflow that produces inconsistent results, whether that is a specific skill, a project folder, or a broader process you rely on often.

2️⃣ Prompt for Adversarial Review Loops
Ask ChatGPT to improve the workflow across three loops, with a panel of sub agents adversarially reviewing each loop. Include a clear definition of done so the model knows when to stop.

3️⃣ Assign a Deliverable and Let It Run
Use the goal command to give ChatGPT a concrete deliverable the workflow should produce. Let the three loops run, which can take anywhere from 15 minutes to an hour depending on complexity.

4️⃣ Test and Refine
Try out the improved workflow. If it still falls short, tell Codex to turn the ambiguous parts into defined scripts so the process becomes repeatable.

The Takeaway
The Loop Method turns workflow improvement into a structured habit rather than a one off fix. By running repeated adversarial review loops, ChatGPT can catch weak points a single pass would miss. Once a workflow becomes inconsistent, this process can be saved as a reusable skill and reapplied whenever needed, making continuous improvement part of the normal routine rather than an occasional cleanup task.

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