Good morning, Eric here. The US June jobs report landed Thursday at 57,000 new jobs, roughly half the 115,000 economists forecast. April and May were also revised down by a combined 74,000. Hiring is cooling faster than the headline suggests, which points to a more cautious consumer as you plan Q4 spend.
Below: Klaviyo's agents auditing flow collisions, a five-step way to refresh a winning ad before frequency kills it, self-serve split testing on Reddit, and the three-app stack keeping BÉIS profitable as it scales.
📧 Klaviyo's new Flow Audit tool found automations cannibalizing each other inside AS Beauty's account
AS Beauty ran Klaviyo's new Composer agent across their 113-flow library and found multiple automations targeting the same customers simultaneously, creating message overlap and flagging revenue loss from the collision.
If your Klaviyo account has accumulated flows over a few years, that's likely happening in your account too. Composer audits live campaigns, flows, and segments, surfaces the conflicts, and builds campaigns to address them. Customer Agent handles tickets, returns, and loyalty points on the service side, feeding intent signals back into Composer after each resolved conversation.
♻️ How to refresh a winning ad before frequency kills it
@antonioventre_ shared a five-step process this week for extending a winning ad without abandoning the angle that made it work.
Trigger point: frequency hits 2.5. Pull the exact script, hook and CTA, then rebuild it in a new format. UGC talking head becomes a static carousel. Static becomes a 15-second video. Swap the visual identity too: new face, background, wardrobe.
Launch the refresh into the same ad set as the original. Meta shifts budget to the fresher variant as it gathers signal, and the original keeps running until that happens on its own.
⚡ Reddit split testing is now self-serve for every advertiser
Reddit's Ads Manager splits your audience at the user level and runs two ad variants with one changed variable and no overlap.
Reddit reported that 4 out of 5 beta tests returned a clear ROAS winner at 65% confidence within two to six weeks. No ads rep required to activate it.
⛏️ AI's real job in email is mining what customers already said
Chase Dimond recapped his 2026 email approach on Max Sturtevant's podcast. The highlights:
AI's highest-value use is research. Point it at customer reviews, support tickets, and SMS replies to pull the language your buyers already use.
For copy, generate variants on proven ideas. Feed it winning subject lines and pull new angles from them.
His prompting process: dump full brand context, have it crawl the site, give it a banned-word list, force a self-score out of 10, then edit line by line until it stops reading like a robot.
🤖 Anyone can generate a logo, a landing page, or a whole brand now
A few weeks ago we shared @rokhladnik's observation: Weak strategy paired with AI produces bad marketing faster.
With Fable 5 being re-released, I think it’s important to bring this point back to the surface. DannPetty added another layer beyond strategy: taste. The AI tools you’re using don’t have the ability to identify which outputs you create are worth using.
Output generation speed increased again. Reviewing and selecting usable output still requires a person to do it.
On this episode of Ad-venturous, Aves from Pilothouse argues consumers now trust their LLM's read on a product more than they trust the brand's own claims.
She breaks down what that means for two separate strategies: one to get LLMs to repeat a specific truth about your brand, one to get humans to believe it.
Learn how to pull that truth from existing reviews and Reddit threads, and what backend changes make a site navigable to shopping agents.
▶️ Watch here | 🎧 Listen on Spotify
Shay Mitchell’s fashion-forward luggage brand BÉIS is thriving. The 9-figure brand sells suitcases, weekenders, and travel accessories, made from materials such as vegan leather and recycled nylon.
Since 2018, it has expanded its footprint by partnering with retailers like Nordstrom and Revolve, and in 2026 extended into hard-shell hybrid luggage sets.
Their DTC site currently pulls in around $2M per month.
Here are the apps they use to stay profitable even as they scale.
1. Blotout EdgeTag
Privacy changes from Apple and others have stripped out a large share of the third-party signal that ad platforms rely on, which inflates acquisition costs and breaks attribution. For a brand spending at scale, that lost signal directly erodes profit.
BÉIS uses Blotout EdgeTag to rebuild first-party customer identity and feed accurate conversion data back to channels like Meta, Google, and Klaviyo through server-side tracking. Higher event match quality means lower cost per click and more recoverable carts.
2. Nosto AI Search & Discovery
With a catalog spanning roughly a dozen product types across multiple colorways and materials, helping a shopper find the right bag fast is a conversion problem. Poor search and generic merchandising leave revenue on the table.
Nosto powers AI-driven, personalized search and product recommendations, ranking results by what each shopper is likely to buy and surfacing relevant cross-sells across the journey.
Personalized discovery raises conversion rate and average order value, extracting more revenue per visit without additional ad spend.
3. Amp Back in Stock
Travel gear sells in waves, and hero products sell out. An out-of-stock page is lost demand, and for a brand with seasonal drops and fast-moving SKUs, that leakage compounds.
Amp Back in Stock replaces sold-out messaging with "notify me" capture and preorder buttons, then alerts shoppers by email and SMS the moment inventory returns.
Demand that would have walked is converted into a queued sale, and preorders pull revenue forward before stock even lands. The same signups double as a forecasting input, tightening inventory decisions across a high-SKU catalog.
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