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Amazon and Walmart summer sales grew the crowd, shrank the basket

July 23, 2026
5 min
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MT

CTO at Nova Analytics

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Matthieu oversees product development at Nova Analytics, creating innovative tools that help Amazon sellers make smarter, data-driven decisions to grow their business.

Quick Summary

  • •PYMNTS: overlapping Amazon and Walmart summer promotions grew audience toward saturation, but shrank basket size
  • •Deal fatigue is now a structural risk for Q4, not a Q3 anecdote
  • •Bundles and virtual bundles become the primary AOV lever, not stacked coupons
  • •Retire any coupon that added units at the cost of average order value before September

Nova surfaces every Amazon fee, refund, and margin shift in your live P&L, across 21 marketplaces. See it in your data

The 3-line summary

PYMNTS Intelligence released "The Overlap Effect" on July 23, 2026, measuring how the overlapping July promotions from Amazon Prime Day and Walmart Deals moved US shopper participation and basket size at both retailers (PYMNTS Intelligence, July 23, 2026).

The finding: overlapping events expanded the crowd toward near-saturation of US adult shoppers, but average basket size fell at both Amazon and Walmart. More buyers, fewer items per buyer.

What sellers should read from it

Deal fatigue is now a structural risk, not a Q3 anecdote. The classic playbook of stacking coupons, Lightning Deals and event participation was priced on the assumption that promo pulls in new shoppers who then fill a normal-sized basket. In July 2026 that mechanic broke. The new shoppers came in for one item and left.

Two consequences for Q4 planning. First, ROAS on event days is going to disappoint anyone who models on H1 basket assumptions. Second, bundle strategy and virtual bundles become a bigger lever than any single coupon, because they are the only reliable way to hold AOV in a lower-per-basket environment.

The 30-day plan

  1. Rebuild your event model on softer AOV. Pull the last 4 promotional windows, split units from AOV, and stress-test Q4 forecasts at flat units and a 5 to 10 point AOV drop.
  2. Retire coupons that hurt AOV. Any coupon that added units at the cost of average order value is a net loser in this environment. Cut it before September.
  3. Refresh bundles on the top 20 ASINs. Virtual bundles, main-image variants and A+ cross-sells so Q4 promo traffic lands on a higher-basket page, not a single-unit one.

How Nova helps

  • Amazon P&L - see AOV, units and gross margin per ASIN across every promo event so you know which coupons actually paid for themselves.
  • Day-to-Day Analytics - track daily basket size trends by ASIN, so structural AOV drift shows up before the quarterly close.

Frequently Asked Questions

Common questions about this topic

PYMNTS Intelligence's July 23, 2026 study measures how the overlapping July promotions from Amazon Prime Day and Walmart Deals affected total buyer participation and average order value at both retailers. It concludes the two events pulled in a much wider audience but shrank the basket per shopper.
Promotions of that scale pulled in occasional and cross-shoppers who typically compare on price and add fewer items. Regular Prime buyers still shopped, but the mix skewed toward opportunistic single-item baskets, dragging average order value down.
Structural deal fatigue is now a real risk. Expect diminishing returns on stacking coupons, Lightning Deals and event participation in Q4 unless you protect margin per unit and lean on high-attach-rate bundles. Model Q4 P&L against a scenario of flat units and softer AOV.
No. Walmart saw the same pattern in the same window. It is a category-wide behavioral shift for US shoppers under sustained macro pressure, not an Amazon merchandising miss.
Pull your last 4 promo events and compare units, AOV and ad efficiency. Retire any coupon that added units at the cost of AOV. Refresh bundles and virtual bundles for the top 20 ASINs before September so Q4 promotions ride a higher baseline basket, not a lower one.

Verified Sources

All information verified from official Amazon sources and trusted industry analysts as of publication date.