AI use in e-commerce marketing measures how marketing teams use generative AI, predictive AI and automation tools for content, personalization, campaign operations, analytics and customer journeys. This page focuses on practical marketing workflows rather than broad AI hype.
Back to the hub: E-commerce Statistics.
This page belongs to the AI Commerce silo. For nearby AI benchmarks, compare it with
AI adoption in e-commerce,
generative AI traffic share,
AI shopping assistant usage,
AI customer service adoption
and AI-generated product content.
Benchmarks
AI use in e-commerce marketing benchmarks
AI use in marketing is now common, but maturity differs sharply between teams using AI for draft content and teams connecting AI to data, personalization, testing and measurement.
75%
Salesforce reported that 75% of marketers have adopted AI, while many still struggle with fast responses and generic campaigns.
77%
Gartner reported that among marketers who adopted GenAI, 77% adopted it for creative development tasks.
Tool use ≠ workflow redesign
Using AI to write copy is easier than connecting it to segmentation, creative testing, offers, product data and conversion measurement.
| Marketing workflow | Typical AI use | Benchmark interpretation |
|---|---|---|
| Product and campaign copy | Drafting descriptions, ad copy, email subject lines and landing-page variants | High adoption, but quality depends on source data and human editing. |
| Creative development | Generating image concepts, product visuals, hooks and creative variants | Fast-growing use case because it reduces bottlenecks in creative production. |
| Personalization | Segment recommendations, product recommendations, next-best actions and individualized offers | Higher potential value, but requires clean customer and product data. |
| Marketing analytics | Summarizing reports, detecting anomalies and explaining performance movements | Useful for speed, but should be reconciled against first-party sales and margin data. |
| Lifecycle communication | Email/SMS flows, churn triggers, win-back ideas and customer-service follow-ups | Works best when AI is paired with CRM events and clear approval rules. |
Breakdown
Where AI marketing use becomes commercially meaningful
The strongest e-commerce use cases are close to revenue: product feed improvements, ad creative variation, lifecycle personalization, onsite messaging, merchandising support and customer-service-triggered marketing. The weakest use cases are generic copy outputs that do not use store data, product facts, margin signals or customer behavior.
Usage
How to use AI use in e-commerce marketing benchmarks
Use this dataset to distinguish basic AI adoption from revenue-connected marketing workflow maturity. Pair this page with AI adoption in e-commerce, AI customer service adoption and AI-generated product content before making operational conclusions.
Methodology
Methodology note
AI benchmarks are not universal constants. Results depend on workflow maturity, data quality, channel mix, governance, languages, human review, automation boundaries, customer expectations and whether the organization redesigns work around AI. Use the figures as directional benchmarks and keep company examples separate from industry-wide rates.
Sources
Sources and notes
Use these sources as directional benchmarks. AI impact varies by company size, workflow, data quality, governance, language coverage, channel mix, and how much work is redesigned around the tools.
- Salesforce: 2026 State of Marketing — AI adoption and customer-response pressure among marketers.
- Gartner: GenAI adoption for marketing campaigns — GenAI adoption gap and creative-development use among adopters.
- McKinsey: The State of AI 2025 — business-function AI adoption context for marketing and sales.
- Reuters: AI brings more ad work in-house — reporting on AI use in advertising operations, visuals, influencer selection and campaign optimization.
- Think with Google: marketing strategy and AI — Google marketing guidance on AI, measurement and ROI.
Cite this page
How to cite this dataset
AI Use in E-commerce Marketing. Best For Ecommerce. Updated 2026-05-31. Available at: https://bestforecommerce.com/ecommerce-statistics/ai-commerce/ai-use-in-ecommerce-marketing/