Summary of Digital Advertising and Retail Media

## Introduction Digital advertising targeting and analytics are essential for delivering relevant ads to users and measuring campaign performance. This material explains common targeting techniques, how targeting is implemented, key performance indicators (KPIs) used to evaluate display campaigns, and how to interpret campaign reports to make budget decisions. > **Definition:** Targeting in display advertising is the practice of selecting the audience, context, time, and conditions under which ads are served to maximize relevance and outcomes. ## Types of Targeting (broken down) ### 1. Contextual Targeting - Matches ad keywords or advertiser-provided signals with webpage content. - Useful when you want to reach users reading relevant content without relying on their personal data. > **Definition:** Contextual targeting selects ad placements based on the content of the page where the ad appears. Practical example: An advertiser selling running shoes selects pages mentioning "marathon" or "running tips" so ads appear alongside related articles. ### 2. Personalized Targeting - Based on data explicitly declared by the user: age, gender, language, stated interests. - Typically used when users sign in and provide profile data. > **Definition:** Personalized targeting serves ads using attributes that users have declared about themselves. Practical example: A language-learning app targets users who declared they want to learn Spanish. ### 3. Geo (Location) Targeting - Uses device-provided location data (IP, GPS, Wi‑Fi) to show ads relevant to a geographic area. - Enables localization: store promotions, city-specific messaging, regional offers. > **Definition:** Geo-targeting restricts or prioritizes ad delivery based on the users geographic location. Practical example: A coffee chain shows morning commuter offers to users within a 2 km radius of its stores. ### 4. Time Targeting - Schedules ads at specific times of day or days of week to match user routines and peak moments. - Useful for businesses with time-sensitive offers (commute times, lunch, prime shopping hours). > **Definition:** Time targeting controls when ads are eligible to run based on time windows. Practical example: Promoting dinner deals between 57pm and 87pm. ### 5. Behavioral Targeting - Based on data inferred by the ad platform from users past online behavior (pages visited, searches, app usage). - Includes retargeting: showing ads to users who visited specific pages or took actions. > **Definition:** Behavioral targeting uses inferred interests and past behaviors to deliver ads likely to match user intent. Practical example: An e-commerce site retargets users who viewed a product but didnt purchase by showing the product ad across the web. Fun fact: The simultaneous use of multiple targeting techniques (contextual, personalized, geo, time, behavioral) can increase relevance but also raises privacy and intrusiveness concerns. ## How Targeting Is Implemented ### Cookies and Tracking - **Cookies:** small files stored by browsers containing identifiers and basic state about visited sites. - Cookies enable platforms to recognize returning users and deliver targeted ads. > **Definition:** Cookies are small text files placed on a user's device by websites to store information about visits and preferences. Notes on modern constraints: - Browser privacy features and regulations (e.g., GDPR, CCPA) limit cookie lifetimes and require consent. - Platforms increasingly rely on aggregated or device-level signals instead of third-party cookies. ### Retargeting (a form of behavioral targeting) - Implemented via a pixel or tag on webpages or emails that sets a cookie or identifier. - Allows showing ads to users who previously interacted with the advertisers site. - Frequency capping limits how many times a user sees the same ad to reduce annoyance. > **Definition:** Retargeting tags users with a pixel or cookie to serve ads later based on prior actions.