{"id":6783,"date":"2026-03-23T12:23:29","date_gmt":"2026-03-23T12:23:29","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/retail-media-target-audience\/"},"modified":"2026-03-23T12:23:29","modified_gmt":"2026-03-23T12:23:29","slug":"retail-media-target-audience","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/retail-media-target-audience\/","title":{"rendered":"Retail Media Target Audience: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Commerce & Retail Media"},"content":{"rendered":"\n

Retail media has become one of the most measurable ways to reach shoppers close to the point of purchase. At the center of any successful retail media program is the Retail Media Target Audience<\/strong>\u2014the specific group of shoppers a brand or seller intends to reach using retailer-owned ad inventory and retailer data signals.<\/p>\n\n\n\n

In Commerce & Retail Media<\/strong>, getting the Retail Media Target Audience right determines whether campaigns drive incremental sales or simply pay for shoppers who would have purchased anyway. It also impacts efficiency (ROAS, CPA), customer experience (relevant ads vs. noise), and strategic outcomes (new-to-brand growth, category share). As Commerce & Retail Media<\/strong> networks expand across onsite, offsite, and in-store placements, audience strategy has become as important as creative and bids.<\/p>\n\n\n\n

\n\n\n\n

What Is Retail Media Target Audience?<\/h2>\n\n\n\n

A Retail Media Target Audience<\/strong> is the defined set of shoppers you aim to reach through retail media, built from retailer first-party signals (such as browsing behavior, purchase history, loyalty attributes, and contextual intent) and refined by campaign goals (such as acquiring new customers or defending share in a category).<\/p>\n\n\n\n

The core concept is simple: choose who should see your retail ads<\/strong>, based on evidence of intent, affinity, or value. The business meaning is broader: a Retail Media Target Audience is a decision framework that connects merchandising realities (assortment, price, availability) to marketing outcomes (incremental revenue, profit, penetration).<\/p>\n\n\n\n

Where it fits in Commerce & Retail Media<\/strong>: the Retail Media Target Audience sits between your overall growth strategy (who you want to win) and tactical execution (keywords, product targeting, display placements, offsite activation). Its role inside Commerce & Retail Media<\/strong> is to make spend accountable by defining \u201cthe right shopper\u201d before you optimize \u201cthe right ad.\u201d<\/p>\n\n\n\n

\n\n\n\n

Why Retail Media Target Audience Matters in Commerce & Retail Media<\/h2>\n\n\n\n

A well-constructed Retail Media Target Audience is a competitive advantage because it turns retailer data into intentional growth.<\/p>\n\n\n\n

Key reasons it matters in Commerce & Retail Media<\/strong>:<\/p>\n\n\n\n

    \n
  • Sharper incrementality<\/strong>: Audience choices help separate \u201cdemand capture\u201d from \u201cdemand creation,\u201d improving true lift\u2014not just last-click sales.<\/li>\n
  • Better efficiency<\/strong>: Better-fit audiences typically reduce waste, improving ROAS, lowering CPA, and stabilizing performance as auctions get crowded.<\/li>\n
  • Stronger brand outcomes<\/strong>: Targeting new-to-brand shoppers, lapsed buyers, or high-value households supports penetration and loyalty, not only short-term conversions.<\/li>\n
  • More resilient optimization<\/strong>: When algorithmic bidding or auction dynamics change, a clear Retail Media Target Audience keeps testing and measurement grounded in strategy.<\/li>\n
  • Cross-channel consistency<\/strong>: As Commerce & Retail Media<\/strong> expands offsite (social, display, video), the same audience intent can be carried into adjacent channels with more coherent messaging.<\/li>\n<\/ul>\n\n\n\n
    \n\n\n\n

    How Retail Media Target Audience Works<\/h2>\n\n\n\n

    In practice, Retail Media Target Audience development is both analytical and operational. A realistic workflow looks like this:<\/p>\n\n\n\n

      \n
    1. \n

      Input \/ Trigger<\/strong>\n – A business objective: launch a product, grow category share, increase new-to-brand, reduce churn, or improve profitability.\n – Constraints: budget, margin, inventory, geographic availability, retailer rules, and measurement options.<\/p>\n<\/li>\n

    2. \n

      Analysis \/ Processing<\/strong>\n – Identify shopper signals that correlate with the objective: prior purchases, category browsing, brand affinity, basket composition, and recency\/frequency.\n – Assess scale vs. precision: a narrow audience may be efficient but limited; a broad audience may spend efficiently only with strong creative and bidding controls.\n – Decide measurement approach: attribution, incrementality testing, or blended approaches (e.g., geo tests, holdouts, or pre\/post with controls).<\/p>\n<\/li>\n

    3. \n

      Execution \/ Application<\/strong>\n – Build audiences in retail media tools (onsite display, sponsored listings, offsite extensions).\n – Tailor creatives and offers to audience intent (e.g., conquesting vs. loyalist messaging).\n – Apply guardrails: frequency caps (if available), exclusions (e.g., recent buyers), and product eligibility based on stock.<\/p>\n<\/li>\n

    4. \n

      Output \/ Outcome<\/strong>\n – Observable results: sales, new-to-brand, category share, and profitability.\n – Learnings that feed iteration: which segments scaled, which drove incrementality, and where overlap caused cannibalization.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

      This \u201cclosed-loop\u201d cycle is a hallmark of Commerce & Retail Media<\/strong>: the Retail Media Target Audience is not static\u2014it evolves with insights from campaign performance and retail signals.<\/p>\n\n\n\n

      \n\n\n\n

      Key Components of Retail Media Target Audience<\/h2>\n\n\n\n

      A strong Retail Media Target Audience typically includes the following elements:<\/p>\n\n\n\n

      Data Inputs (What you can use)<\/h3>\n\n\n\n
        \n
      • First-party retail signals<\/strong>: purchase history, category affinity, brand loyalty, recency, basket size, and product views.<\/li>\n
      • Contextual intent<\/strong>: search queries, category pages viewed, and product detail page engagement.<\/li>\n
      • Eligibility signals<\/strong>: geography, store availability, delivery options, and loyalty membership (where available).<\/li>\n
      • Business constraints<\/strong>: margin, pricing, promotion calendars, and inventory status.<\/li>\n<\/ul>\n\n\n\n

        Processes (How you manage it)<\/h3>\n\n\n\n
          \n
        • Audience strategy and segmentation<\/strong> aligned to objectives (acquisition, retention, conquesting, trade-up).<\/li>\n
        • Experimentation plan<\/strong> to compare audiences, not just creatives.<\/li>\n
        • Governance<\/strong>: naming conventions, documentation, and change control so teams know what each audience represents.<\/li>\n<\/ul>\n\n\n\n

          Metrics (How you evaluate it)<\/h3>\n\n\n\n
            \n
          • Incremental sales and profit<\/strong>, not just attributed revenue.<\/li>\n
          • New-to-brand<\/strong> (where offered), repeat rate, and cross-sell effects.<\/li>\n
          • Efficiency and quality<\/strong> measures (ROAS, CPA, conversion rate, and reach vs. saturation).<\/li>\n<\/ul>\n\n\n\n

            Team Responsibilities (Who owns what)<\/h3>\n\n\n\n
              \n
            • Media<\/strong>: targeting, bidding, and pacing.<\/li>\n
            • Analytics<\/strong>: incrementality, audience overlap, and performance diagnostics.<\/li>\n
            • Retail\/operations<\/strong>: availability, pricing, and promotional alignment.<\/li>\n
            • Creative<\/strong>: message-to-intent matching for each Retail Media Target Audience.<\/li>\n<\/ul>\n\n\n\n
              \n\n\n\n

              Types of Retail Media Target Audience<\/h2>\n\n\n\n

              Retail media doesn\u2019t have one universal taxonomy, but in Commerce & Retail Media<\/strong> these are the most practical ways to distinguish Retail Media Target Audience approaches:<\/p>\n\n\n\n

              1) Intent-Based vs. Relationship-Based<\/h3>\n\n\n\n
                \n
              • Intent-based<\/strong>: shoppers currently researching or searching a category (high short-term conversion potential).<\/li>\n
              • Relationship-based<\/strong>: loyalists, lapsed buyers, or high-LTV households (strong for retention, trade-up, and basket expansion).<\/li>\n<\/ul>\n\n\n\n

                2) Brand\/Category Positions<\/h3>\n\n\n\n
                  \n
                • Brand loyalists<\/strong>: prior purchasers of your brand\u2014useful for retention, new variants, and trade-up.<\/li>\n
                • Category buyers<\/strong>: prior purchasers in the category\u2014useful for switching and share gain.<\/li>\n
                • Competitor buyers (conquesting)<\/strong>: shoppers who prefer competitors\u2014higher cost, needs sharper differentiation.<\/li>\n<\/ul>\n\n\n\n

                  3) Funnel Orientation (Retail media-specific)<\/h3>\n\n\n\n
                    \n
                  • Lower-funnel<\/strong> audiences: searchers, product viewers, cart abandoners (if available).<\/li>\n
                  • Mid\/upper-funnel<\/strong> audiences: lifestyle or adjacent-category shoppers, used more often with display\/video extensions inside Commerce & Retail Media<\/strong>.<\/li>\n<\/ul>\n\n\n\n

                    4) Deterministic vs. Modeled<\/h3>\n\n\n\n
                      \n
                    • Deterministic<\/strong>: based on known shopper actions (purchases, views).<\/li>\n
                    • Modeled<\/strong>: lookalike or propensity segments created by the retailer; often scalable but requires tighter measurement discipline.<\/li>\n<\/ul>\n\n\n\n
                      \n\n\n\n

                      Real-World Examples of Retail Media Target Audience<\/h2>\n\n\n\n

                      Example 1: New Product Launch for a Snack Brand<\/h3>\n\n\n\n

                      A CPG brand launches a new flavor and wants trial without overpaying for existing buyers.\n– Retail Media Target Audience<\/strong>: category snack buyers who have not purchased the brand in 180 days, plus shoppers who viewed similar products in the last 14 days.\n– Execution<\/strong>: onsite sponsored placements for relevant keywords + display to category browsers.\n– Outcome focus<\/strong>: new-to-brand rate, incremental units, and repeat purchase over 30\u201360 days.\nThis is classic Commerce & Retail Media<\/strong>: using retailer signals to drive controlled trial.<\/p>\n\n\n\n

                      Example 2: Consumer Electronics Conquesting with Guardrails<\/h3>\n\n\n\n

                      A challenger brand targets shoppers comparing premium headphones.\n– Retail Media Target Audience<\/strong>: competitor brand purchasers + high-intent browsers of premium price tiers.\n– Execution<\/strong>: product targeting on competitor detail pages (where available) plus retargeting of product viewers.\n– Guardrails<\/strong>: exclude recent purchasers of your own products to reduce waste; align ads with in-stock SKUs.\n– Outcome focus<\/strong>: share of consideration (detail page views), conversion rate, and contribution margin.\nIn Commerce & Retail Media<\/strong>, conquesting works best when audience, price tier, and messaging align tightly.<\/p>\n\n\n\n

                      Example 3: Grocery Retention and Basket Growth<\/h3>\n\n\n\n

                      A grocery private label wants repeat purchases and larger baskets.\n– Retail Media Target Audience<\/strong>: recent private label buyers + households purchasing complementary categories (e.g., pasta buyers for sauce).\n– Execution<\/strong>: loyalty-informed audiences, cross-sell creatives, and promo alignment with weekly circular timing.\n– Outcome focus<\/strong>: repeat rate, basket size, and category penetration.\nThis shows how Retail Media Target Audience can support both marketing and merchandising outcomes in Commerce & Retail Media<\/strong>.<\/p>\n\n\n\n

                      \n\n\n\n

                      Benefits of Using Retail Media Target Audience<\/h2>\n\n\n\n

                      Using a defined Retail Media Target Audience delivers benefits that go beyond \u201cbetter targeting\u201d:<\/p>\n\n\n\n

                        \n
                      • Higher conversion efficiency<\/strong> by aligning ads with shoppers most likely to buy.<\/li>\n
                      • Lower wasted spend<\/strong> through exclusions (recent buyers, low-fit segments) and better audience-to-message matching.<\/li>\n
                      • Improved incrementality<\/strong> when audiences are built for the objective (acquisition vs. retention) and validated with tests.<\/li>\n
                      • Better customer experience<\/strong> because shoppers see fewer irrelevant ads, improving engagement and brand perception.<\/li>\n
                      • Operational clarity<\/strong>: teams can plan creative, promotions, and inventory around a known audience strategy.<\/li>\n<\/ul>\n\n\n\n
                        \n\n\n\n

                        Challenges of Retail Media Target Audience<\/h2>\n\n\n\n

                        Retail Media Target Audience strategy also comes with real constraints in Commerce & Retail Media<\/strong>:<\/p>\n\n\n\n

                          \n
                        • Limited transparency<\/strong>: some retailers provide aggregate insights only, making deep audience diagnostics difficult.<\/li>\n
                        • Inconsistent definitions<\/strong> across networks (e.g., what \u201cnew-to-brand\u201d means, lookback windows, or segment construction).<\/li>\n
                        • Audience overlap and cannibalization<\/strong>: multiple campaigns can chase the same shoppers, inflating costs and misreading performance.<\/li>\n
                        • Measurement limitations<\/strong>: last-click attribution may over-credit lower-funnel audiences and under-value prospecting.<\/li>\n
                        • Scale vs. precision tradeoffs<\/strong>: narrow audiences can cap growth; broad audiences may dilute efficiency.<\/li>\n
                        • Data governance and privacy<\/strong>: increasing restrictions can reduce granularity and require privacy-safe analysis methods.<\/li>\n<\/ul>\n\n\n\n
                          \n\n\n\n

                          Best Practices for Retail Media Target Audience<\/h2>\n\n\n\n

                          Practical, evergreen steps to improve Retail Media Target Audience performance:<\/p>\n\n\n\n

                            \n
                          1. \n

                            Start with a testable hypothesis<\/strong>\n – Example: \u201cLapsed category buyers will deliver higher incrementality than broad category browsers.\u201d<\/p>\n<\/li>\n

                          2. \n

                            Separate objectives by audience<\/strong>\n – Use distinct audiences for acquisition vs. retention, and avoid mixing KPIs in the same line item.<\/p>\n<\/li>\n

                          3. \n

                            Use exclusions intentionally<\/strong>\n – Excluding recent purchasers can improve efficiency for trial campaigns (while keeping a separate retention stream).<\/p>\n<\/li>\n

                          4. \n

                            Align creative and offer to intent<\/strong>\n – Loyalists respond to new variants and bundles; conquesting needs proof points (value, features, ratings).<\/p>\n<\/li>\n

                          5. \n

                            Validate with incrementality where possible<\/strong>\n – Use holdouts, geo experiments, or controlled tests to confirm that the Retail Media Target Audience drives lift.<\/p>\n<\/li>\n

                          6. \n

                            Manage overlap<\/strong>\n – Audit audience duplication, consolidate where needed, and set clear prioritization rules.<\/p>\n<\/li>\n

                          7. \n

                            Tie targeting to retail fundamentals<\/strong>\n – Don\u2019t scale audiences when key SKUs are out of stock or losing the buy box (where relevant).<\/p>\n<\/li>\n<\/ol>\n\n\n\n

                            \n\n\n\n

                            Tools Used for Retail Media Target Audience<\/h2>\n\n\n\n

                            Retail Media Target Audience work is enabled by a mix of platform capabilities and internal systems common in Commerce & Retail Media<\/strong>:<\/p>\n\n\n\n

                              \n
                            • Retail media ad platforms<\/strong>: build and activate audiences for onsite sponsored ads, display, and offsite extensions.<\/li>\n
                            • Analytics tools<\/strong>: cohort analysis, pathing, and performance breakdowns by audience and placement.<\/li>\n
                            • BI and reporting dashboards<\/strong>: unify retailer reporting with internal sales, margin, and inventory data.<\/li>\n
                            • CRM\/CDP systems<\/strong> (brand-side): align retail audiences with first-party customer strategy, where privacy and matching allow.<\/li>\n
                            • Experimentation frameworks<\/strong>: incrementality testing, geo splits, and holdout designs.<\/li>\n
                            • Data clean rooms \/ privacy-safe environments<\/strong> (where available): analyze overlap and outcomes without exposing raw user-level data.<\/li>\n
                            • Workflow and governance tools<\/strong>: naming conventions, documentation, and change tracking so audiences remain interpretable over time.<\/li>\n<\/ul>\n\n\n\n

                              Tools matter, but the durable advantage comes from clear audience definitions, disciplined tests, and consistent measurement in Commerce & Retail Media<\/strong>.<\/p>\n\n\n\n

                              \n\n\n\n

                              Metrics Related to Retail Media Target Audience<\/h2>\n\n\n\n

                              To evaluate whether a Retail Media Target Audience is working, use metrics tied to both performance and quality:<\/p>\n\n\n\n

                              Performance and Efficiency<\/h3>\n\n\n\n
                                \n
                              • ROAS \/ iROAS (incremental ROAS)<\/strong> where incrementality measurement exists<\/li>\n
                              • CPA \/ cost per new customer<\/strong> (or proxy)<\/li>\n
                              • Conversion rate<\/strong> and cost per order<\/strong><\/li>\n
                              • AOV (average order value)<\/strong> and units per transaction<\/strong><\/li>\n<\/ul>\n\n\n\n

                                Audience Quality and Growth<\/h3>\n\n\n\n
                                  \n
                                • New-to-brand rate<\/strong> (when provided)<\/li>\n
                                • Repeat purchase rate<\/strong> and time to second purchase<\/strong><\/li>\n
                                • Reach and frequency<\/strong> (especially for display\/video extensions)<\/li>\n
                                • Audience saturation<\/strong> (diminishing returns as the same shoppers are hit repeatedly)<\/li>\n<\/ul>\n\n\n\n

                                  Business and Retail Outcomes<\/h3>\n\n\n\n
                                    \n
                                  • Contribution margin \/ profit per order<\/strong><\/li>\n
                                  • Share of category sales<\/strong> or share of search<\/strong> (where available)<\/li>\n
                                  • Halo effects<\/strong> (sales lift to related SKUs) when measurement supports it<\/li>\n<\/ul>\n\n\n\n
                                    \n\n\n\n

                                    Future Trends of Retail Media Target Audience<\/h2>\n\n\n\n

                                    Retail Media Target Audience strategy is evolving quickly within Commerce & Retail Media<\/strong>:<\/p>\n\n\n\n

                                      \n
                                    • AI-driven audience building<\/strong>: more automated segment creation (propensity, lookalikes) and dynamic optimization\u2014requiring stronger guardrails and experiments to avoid \u201cblack box\u201d assumptions.<\/li>\n
                                    • Privacy-safe measurement<\/strong>: wider use of aggregation, clean rooms, and modeled reporting, reducing user-level visibility but improving compliance.<\/li>\n
                                    • More offsite activation<\/strong>: retailer audiences extending into open web, CTV, and social-style environments, pushing marketers to maintain consistent audience definitions across channels.<\/li>\n
                                    • Standardization pressure<\/strong>: brands want comparable audience definitions and measurement across networks; expect gradual improvements in interoperability and reporting norms.<\/li>\n
                                    • Incrementality becomes table stakes<\/strong>: as budgets grow, finance teams will demand proof of lift by Retail Media Target Audience, not just attributed sales.<\/li>\n<\/ul>\n\n\n\n
                                      \n\n\n\n

                                      Retail Media Target Audience vs Related Terms<\/h2>\n\n\n\n

                                      Understanding adjacent concepts helps avoid misalignment in Commerce & Retail Media<\/strong> planning:<\/p>\n\n\n\n

                                      Retail Media Target Audience vs Shopper Persona<\/h3>\n\n\n\n
                                        \n
                                      • Shopper persona<\/strong> is a qualitative archetype (motivations, needs, attitudes).<\/li>\n
                                      • Retail Media Target Audience<\/strong> is an executable, measurable set of shoppers defined by retailer signals and eligibility rules.\nPersonas inspire messaging; audiences determine who actually receives it.<\/li>\n<\/ul>\n\n\n\n

                                        Retail Media Target Audience vs Customer Segment<\/h3>\n\n\n\n
                                          \n
                                        • Customer segment<\/strong> often refers to your brand\u2019s CRM segmentation across all channels.<\/li>\n
                                        • Retail Media Target Audience<\/strong> is retailer-activated and may not map 1:1 to your CRM due to identity and privacy constraints.\nThe best programs align them conceptually, even when perfect matching isn\u2019t possible.<\/li>\n<\/ul>\n\n\n\n

                                          Retail Media Target Audience vs Keyword\/Product Targeting<\/h3>\n\n\n\n
                                            \n
                                          • Keyword\/product targeting<\/strong> is about where ads appear (queries, pages, placements).<\/li>\n
                                          • Retail Media Target Audience<\/strong> is about who sees the ad (shopper-defined segments).\nHigh-performing Commerce & Retail Media<\/strong> campaigns typically combine both: strong placement intent plus the right audience filters.<\/li>\n<\/ul>\n\n\n\n
                                            \n\n\n\n

                                            Who Should Learn Retail Media Target Audience<\/h2>\n\n\n\n

                                            Retail Media Target Audience knowledge is useful across roles:<\/p>\n\n\n\n

                                              \n
                                            • Marketers<\/strong>: to plan acquisition vs. retention strategies and avoid paying for \u201calready convinced\u201d shoppers.<\/li>\n
                                            • Analysts<\/strong>: to design incrementality tests, diagnose overlap, and connect audience choices to profit.<\/li>\n
                                            • Agencies<\/strong>: to standardize audience frameworks across retailers and scale repeatable playbooks.<\/li>\n
                                            • Business owners and founders<\/strong>: to understand where retail media spend is truly driving growth and how it impacts margins.<\/li>\n
                                            • Developers and data teams<\/strong>: to support reporting pipelines, privacy-safe analysis, and experimentation infrastructure in Commerce & Retail Media<\/strong>.<\/li>\n<\/ul>\n\n\n\n
                                              \n\n\n\n

                                              Summary of Retail Media Target Audience<\/h2>\n\n\n\n

                                              A Retail Media Target Audience<\/strong> is the defined group of shoppers you aim to reach using retailer data and retail media inventory. It matters because it directly influences incrementality, efficiency, and long-term growth\u2014not just attributed sales. In Commerce & Retail Media<\/strong>, the Retail Media Target Audience links strategy to execution by turning shopper signals into measurable targeting, testing, and optimization. Done well, it strengthens both marketing outcomes and retail fundamentals like availability, basket growth, and category share.<\/p>\n\n\n\n

                                              \n\n\n\n

                                              Frequently Asked Questions (FAQ)<\/h2>\n\n\n\n

                                              1) What is a Retail Media Target Audience, in plain terms?<\/h3>\n\n\n\n

                                              A Retail Media Target Audience is the specific set of shoppers you choose to reach with retail media ads, defined using retailer signals like purchase history, browsing behavior, and category intent.<\/p>\n\n\n\n

                                              2) How do I choose the right Retail Media Target Audience for my goal?<\/h3>\n\n\n\n

                                              Start with the objective (new-to-brand, retention, conquesting, or basket growth), then select signals that best predict that outcome (e.g., lapsed buyers for reactivation). Validate with tests, not assumptions.<\/p>\n\n\n\n

                                              3) Is Retail Media Target Audience the same as targeting keywords?<\/h3>\n\n\n\n

                                              No. Keywords influence where your ad appears; Retail Media Target Audience defines who is eligible to see it. The best results usually come from combining both approaches.<\/p>\n\n\n\n

                                              4) What matters more: a broad audience or a narrow audience?<\/h3>\n\n\n\n

                                              Neither is universally better. Narrow audiences can be efficient but may cap scale. Broad audiences can scale but require stronger creative, bidding controls, and measurement to avoid waste.<\/p>\n\n\n\n

                                              5) How does Commerce & Retail Media measurement affect audience decisions?<\/h3>\n\n\n\n

                                              In Commerce & Retail Media<\/strong>, limited transparency and last-click bias can overvalue lower-funnel audiences. When possible, use incrementality methods (holdouts\/geo tests) to confirm which audiences actually drive lift.<\/p>\n\n\n\n

                                              6) What metrics best indicate a high-quality audience?<\/h3>\n\n\n\n

                                              Look beyond ROAS: new-to-brand rate, incremental ROAS, repeat purchase, audience saturation, and profit per order (or contribution margin) provide a more complete view.<\/p>\n\n\n\n

                                              7) What\u2019s the biggest mistake teams make with Retail Media Target Audience?<\/h3>\n\n\n\n

                                              Treating audiences as \u201cset and forget.\u201d Retail Media Target Audience performance changes with seasonality, competition, pricing, and inventory\u2014so it needs ongoing testing, overlap management, and creative alignment.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                              Retail media has become one of the most measurable ways to reach shoppers close to the point of purchase. At the center of any successful retail media program is the **Retail Media Target Audience**\u2014the specific group of shoppers a brand or seller intends to reach using retailer-owned ad inventory and retailer data signals.<\/p>\n","protected":false},"author":10235,"featured_media":0,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1886],"tags":[],"class_list":["post-6783","post","type-post","status-publish","format-standard","hentry","category-commerce-retail-media"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/6783","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/users\/10235"}],"replies":[{"embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/comments?post=6783"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/6783\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=6783"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=6783"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=6783"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}