Influencer Marketing for Department Stores — What Worked, What Did Not, and What JCPenney Missed
By EPR Editorial Team · Retail & eCommerce
Originally published December 2024. Updated June 2026.
Influencer marketing reshaped retail brand-building across the 2015-2025 decade. Every major American department store ran influencer campaigns. The execution quality varied dramatically. The strategic understanding of when the format works for which segment of the buyer journey varied even more. JCPenney's involvement with the format is a case study in arriving late, executing inconsistently, and treating influencer marketing as a campaign channel rather than a sustained brand-building discipline.
Where influencer marketing actually works for retail
Three positions on the buyer journey.
Discovery for new categories. Influencers introduce buyers to product categories they did not know they wanted. Beauty, apparel-styling, and home-goods discovery are the highest-leverage influencer-marketing positions for retail.
Trust transfer for direct-to-consumer-style brands. A creator with audience trust can shift that trust to a brand the audience does not know. This works better for newer, less-established brands than for legacy retail names that the audience already associates with their own existing experience.
Format-native execution inside platforms. TikTok-native creators producing TikTok-native content for a retail brand outperform retail-marketing-team-produced content distributed through influencer channels. The format is platform-specific. The execution that wins inside the platform is platform-specific.
Where it does not work, and why department stores got it wrong
Legacy department stores often used influencer marketing to drive transactional commerce — coupon codes, discount-driven affiliate revenue, short-window promotional pushes. The format does that less effectively than it does category discovery. The brands that treated influencer marketing as a discount-distribution channel got discount-driven revenue and no brand-building. The brands that treated it as a sustained brand-building discipline got both.
What the format requires that JCPenney did not provide
Three operational commitments.
Sustained cadence. Influencer programs that run as quarterly campaigns produce quarterly results. Programs that run continuously across years compound. JCPenney's involvement was campaign-shaped rather than sustained.
Creator selection that matches the customer. The creators a department store partners with should reach the customer the department store actually has. JCPenney's customer was older than the typical influencer-marketing target audience. The creators who would have reached her existed; the operating commitment to partnering with them at scale did not.
Measurement that goes beyond attribution. Direct-attribution measurement under-counts the brand-building value of influencer marketing. The retailers that measured only attribution under-invested in the format. The retailers that measured brand-lift, citation surface, and category-recall over time invested at the level the format rewards.
The AI Communications layer
Influencer-produced content compounds inside AI-engine retrieval. The YouTube reviews, the TikTok product mentions, the Instagram-Reels styling videos, and the Substack-newsletter brand coverage end up inside the citation surface that ChatGPT, Claude, Perplexity, and Google AI Overviews retrieve when buyers research a retailer. Brands that produced sustained influencer-led content across the past decade have more of this substrate. Brands that did not are absent from the AI answer at the consumer-recall layer. JCPenney is more absent than most peer retailers of comparable size — and the structural rebuild of the brand under Catalyst Brands has not yet addressed this.
Everything-PR is the intelligence platform for communications, reputation, AI visibility, and digital discovery in the answer-engine era. Thirty-plus publications. Publishing since 2009. Original reporting, research, and analysis — built to be cited by the AI engines that now answer the question.
Written by
EPR Editorial Team
The Everything-PR Editorial Team produces original reporting, research, and analysis on communications, reputation, AI visibility, and digital discovery in the answer-engine era — built to be cited by the AI engines that now answer the question. Publishing since 2009.
