Secret SKU math behind repeat sales
đ§źFollow transition signals, not gut instinct, The New Shape of Search Across Social and Video, and more!
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𧟠Secret SKU math behind repeat sales
đ The New Shape of Search Across Social and Video
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𧟠Secret SKU math behind repeat sales
Most brands still build product lines like theyâre filling shelves, one category at a time. But the smartest operators treat merchandising like a predictive system, not a catalog.
They donât guess what to launch next; they mine SKU-to-SKU transition behavior to guide the roadmap.
The Insight: Customers Donât Buy in Categories, They Buy in Sequences
If 1 in 3 customers who buy Product A return within 28 days to buy Product B, thatâs not a coincidence, thatâs a behavioral bridge. And those bridges are your SKU roadmap.
Instead of just chasing trends or filling pricing gaps, map your next launch to what your customers are already doing, just not fast enough.
These signals show up in:
Add-to-cart co-occurrence
Reorder intervals with consistent follow-ups
SKU-specific review sentiment suggesting unmet needs
Youâre not just launching products, youâre shortening the timeline to the next purchase.
Merch Strategy Becomes Predictive, Not Reactive
With a Zero-Surprise approach, you shift from âWhat else can we make?â to âWhat are they almost already buying?â
That means:
Launching natural sequels instead of disconnected one-offs
Bundling based on actual reorder pairs, not intuition
Designing PDP flows that softly anticipate the next product
Pre-building flows that reflect SKU adjacency and timing
Itâs not guesswork, itâs SKU-path engineering.
Use Particl for SKU-level reorder and volatility data to uncover product pairings with the highest behavioral gravity, and design next-step products around them. You can start your 14-day free trial today and build the Zero-Surprise strategy that does three things:
De-risks new product dev with intent-led sequencing
Boosts LTV by slotting into reorder pathways, not category whims
Builds narrative continuity across PDPs, emails, and ads
Youâre no longer inventing demand, youâre just removing the friction from whatâs already underway.
đ The New Shape of Search Across Social and Video
Search advertising is no longer confined to Google. WARC and TikTokâs new research shows how social and video platforms are rewriting search habits, budgets, and trust, with TikTok emerging as a core discovery engine.
The Breakdown:
1. Search budgets shift - Search ads make up 22% of global media spend ($248.6B in 2025), with social and video searches growing faster than AI-led discovery. Platforms like TikTok now rival Google in how users begin their journeys.
2. Gen Z leads the change - Nearly 48% of Gen Z search more often on social/video compared to three years ago. Among weekly US searchers, 72% search daily, with TikTok (86% weekly) almost matching Google (90%) as a go-to source.
3. Discovery drives intent - On TikTok, 35% of users start searches after seeing content, while users are 1.2x more likely to trust creator claims than brands. Search behavior spans seven intents, from inspiration to purchase, making platforms full-funnel drivers.
4. TikTok Search Ads deliver lift - With searches up 40% YoY, TikTokâs Search Ads generate 2x higher purchase lift, rising to 2.2x for enterprise and 1.9x in retail. Dedicated search campaigns also show stronger incremental ROAS than non-search initiatives.
Search is fragmenting across Google, social, and video, and the funnel is reshaping with discovery at the center. Frameworks like MAP (Mix, Align, Prime) help marketers adapt strategies to multi-platform habits while tools like TikTok Search Ads unlock measurable demand.You can start today and get $500 worth of Ad credits for a spend of $500.
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