# Amazon, McDonald's, Costco top Q2 2026 loyalty tracker — not from points, but by making every alternative painful *Card data shows repeat buyers stick to brands that built structural switching costs, not better rewards.* By **Jenny Huang Goodman MPA MSc MHSA, Principal** — The Stash Edge, Hako Shikin LLC. Published 2026-08-14. Canonical: https://www.pops4.com/stash/articles/amazon-mcdonalds-costco-brand-loyalty-tracker-analysis-2026-08-14t03-2 Subject: Amazon / McDonald's / Costco (Brand Loyalty Tracker analysis) Tags: retention, loyalty, friction, ecommerce, subscription, card data --- Amazon, McDonald's, and Costco lead the Brand Loyalty Tracker Q2 2026 for repeat purchase frequency, according to card-transaction analysis published by MSN. The study tracked actual spending patterns across millions of card accounts and found that the retention mechanism in each case was not a superior loyalty program but structural friction baked into the customer's next purchase if they switched brands. Amazon holds the lead because Prime membership bundles shipping, video, and a search default into one annual fee, according to the tracker. Once paid, each non-Amazon purchase carries an implicit sunk-cost tax — the member already covered shipping for the year and now pays it again elsewhere. McDonald's holds share because its app saves prior orders and location preferences; a first Wendy's visit requires re-entry of payment, preferences, and pickup spot. Costco ranked third, where the annual membership fee and bulk purchase format mean switching to a conventional grocery store for a single item costs more per unit and sacrifices the membership value already paid. The tracker methodology separated loyalty mechanics from switching friction by comparing repeat-purchase rates among customers who held multiple competing memberships or app installs. In every high-retention brand, repeat rate remained elevated even when the customer also held a competitor account, indicating that friction rather than exclusive benefit drove the behavior. A customer with both Prime and Walmart Plus still bought from Amazon **68% of the time** in categories both carry, per the data. The decision cost of comparing the alternative was higher than the potential per-item savings. The mechanism is pre-decision taxation. Each of these brands moves cognitive load or small financial penalty to the moment a customer considers an alternative, which makes the default choice — stay — cheaper in attention or dollars. Amazon's shipping cost is already paid. McDonald's order is already saved. Costco's per-unit price advantage only activates after the annual gate fee. The competitor must overcome not just product preference but the sunk investment and attention cost of onboarding. A physical-product brand copies the play by identifying one repeated customer action and making your brand the path of least resistance for it. A coffee subscription wins when the customer's auto-delivery is already scheduled and the competitor requires a new sign-up and wait. A custom notebook company wins when the customer's template, logo, and shipping address are saved and the generic supplier requires re-uploading all three. A pet-treat brand wins when the standing order is live and the alternative means remembering to reorder manually. The loyalty mechanism is not reward accumulation but alternative elimination through small, recurring setup costs. For a brand with modest transaction volume, the steal is this: offer a simple save-and-reorder feature that holds the customer's exact prior configuration, then default them into it. An apparel brand lets the customer save their size chart and fabric preference, then pre-fills those fields on return. A spice company saves the customer's blend ratio and auto-suggests it on login. A gear brand saves the customer's measurement and equipment compatibility and highlights compatible new products without requiring re-entry. The saved state becomes the moat. Switching requires losing that state and starting over. The cost to build this is low — most e-commerce platforms support saved customer profiles and reorder shortcuts as standard features. Shopify, WooCommerce, and BigCommerce all include one-click reorder and saved preferences in basic plans. The differentiation is in surfacing that saved state at every decision point. Email the customer their last order with a single-click repeat link. Show the saved configuration on the homepage when they log in. Make the alternative require four extra clicks and two form fields. The Brand Loyalty Tracker data confirms that **repeat purchase rate increases by double digits when reorder friction drops below three clicks**, across categories. The pattern scales beyond e-commerce. A trade-show booth operator saves each client's booth layout, shipping preferences, and contact list, then pre-populates the next event order with last year's configuration. A uniform supplier saves each company's logo file, sizing matrix, and delivery schedule, making a competitor bid require re-uploading and re-measuring the entire team. A promotional-product company saves each customer's artwork, brand colors, and preferred product SKUs, so the next campaign pulls from a known template rather than a blank request. The Tracker's card-data methodology matters because it captured actual purchase behavior rather than stated preference or survey response. Customers who told surveyors they split spending across multiple grocery chains actually consolidated **72% of trips** to their primary membership warehouse once transaction logs were reviewed. The stated openness to switching and the observed switching rate diverged sharply once friction entered the path. Loyalty, in repeat card swipes, is not affection but the compounding cost of starting elsewhere. ## The takeaway Repeat buyers stay when switching costs attention or setup, not when rewards accumulate — save their last order and make alternatives require re-entry. --- ## Publisher **Hako Shikin LLC** — Virginia Beach, Virginia. Founded 1997. ASI 217876 · DUNS 18-204-6339. Principal and author: **Jenny Huang Goodman MPA MSc MHSA**. - Author: https://www.huanggoodman.com/about - LLM context: https://www.pops4.com/stash/llms.txt - MCP endpoint, for AI agents: https://mcp.pops4.com/mcp - Client dashboard: https://dashboard.pops4.com/ - Catalogue: 70,000+ products, 200+ brands