Akeneo: Addressing Consumer Price Skepticism: Strategic Imperatives for Enterprise CX and Marketing
Akeneo — 2026 — Customer Experience
The Akeneo PX Pulse Survey of 1,000 U.S. consumers (August 2026) reveals pronounced consumer skepticism about retail pricing: trust in retailer fairness is low, consumers frequently verify prices across channels, and AI tools are becoming a mainstream comparator. The research finds that economic pressure and visible price inconsistencies have increased price sensitivity and prompted behaviors such as delayed purchases, in-store online price checks, and reliance on AI for deal-finding. For enterprise CX and marketing leaders, the study recommends prioritizing transparent, auditable pricing practices, unified product data and PIM systems, API-ready data for AI consumption, AI-driven competitive monitoring with ethical guardrails, and governance structures (consent management, ethics committees, regular audits) to rebuild trust and differentiate on value beyond price.
Key Statistics
- 32% of consumers completely or mostly trust retailers to offer fair or competitive prices
- 77% of consumers have noticed the same product listed at different prices across various retailers or platforms
- 58% of consumers have delayed a purchase because they believed the price would be lower later
- 46% of consumers compare prices across multiple retailer websites
- 57% of consumers would trust a retailer less if they learned pricing changed based on their personal data
Key Takeaways
- Implement dynamic pricing engines with clearly defined guardrails (e.g., minimum profit margins and time-bound price-match policies) to enable responsiveness while protecting trust
- Enhance promotional transparency by verifiable 'was/now' pricing, explicit terms for 'best price' guarantees, and clear communication of discount bases
- Ensure omnichannel price consistency by centralizing product and pricing data in a PIM and synchronizing prices in real time across e-commerce, mobile, stores, and marketplaces
- Optimize product data for external AI consumption (clean, structured attributes and APIs) and deploy AI-powered competitive intelligence with automated alerts and rapid response protocols
- Establish governance and ethics controls (explicit opt-in consent, AI ethics committee, algorithm audits, and policies against discriminatory personalized pricing) to maintain trust
Cite as: Akeneo. (2026). Akeneo: Addressing Consumer Price Skepticism: Strategic Imperatives for Enterprise CX and Marketing. Retrieved from https://research.agilebrandguide.com/reports/akeneo/akeneo-addressing-consumer-price-skepticism-strategic-imperatives-for-enterprise-cx-and-marketing