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How did this online ad find me?
Digital Advertising 101
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INVENTORY You go online or open an app. Publishers (and advertisers) now have the opportunity to show you ads. Advertisers bid in a real-time auction to show you their ad. Publishers sell the ad space to the highest bidder. You see the ad. You may or may not do anything, now or in the future. Lather. Rinse. Repeat. Feedback! The basics.
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Differing Goals and Objectives
Advertisers want to move hearts and minds Publishers/networks want traffic to keep coming to their site
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How do both parties achieve these goals simultaneously?
Focus on the customer and the user experience Right ad shown to the right person at the right time. How do both parties achieve these goals simultaneously?
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Audience Targeting Demographic:
Based on age, gender, relationship status, and other demographics Rose Cooper: Female Millennial / Xennial Married Catholic Mom Sister Aunt College grad with master’s degree iPhone user
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Audience Targeting Behavioral: Based on user behavior – online, offline, on devices. Uses cookies and pixels. “In- market” and “affinity” targeting are a subset of behavioral targeting. “Search behavior” is also included here. Rose Cooper: Likes to craft Shops for shoes Loves to travel Eats a lot of cake
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Audience Targeting Psychographic Based on user attitudes, perceptions, and values. Advertisers generally figure these out by monitoring user behavior. Rose Cooper: Thinks voting is important Values family above all else
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Audience Targeting Geographic: Based on user location. Can be broad, e.g. “East Coast” or specific, e.g Blossom Rd. IP Targeting: Target users’ at a specific IP address. Time-based: During a specific time of day Contextual: Show your ad alongside specific content
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Precision Targeting Customer match: Use existing customer information, such as or purchase history, to target audience Retargeting/remarketing: Target users’ who have visited your website or seen your digital ad previously
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Broad or Precise Audience?
Generally more persons in the audience, which creates more ad inventory Tend to be less expensive to reach May have waste Precise Less persons in the audience, so less potential ad inventory Less inventory can drive up the cost of ads Highly targeted to your consumers
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Bidding and Optimization Methods
Cost-per-Thousand (CPM) Cost is based on number of impressions ad generates Ads are optimized to be shown to your target audience as many times as possible You “get charged” each time your ad is shown Good for generating awareness and driving reach/frequency Cost-per-Action (CPA) Cost is based upon a user taking a specific action, such as a click Ads are shown to those in your target audience who are likely to take the desired action You “get charged” each time the user completes the desired action Good for generating web traffic (clicks), conversions, video views, form submissions, etc. Some Notes on Bidding Can set a maximum bid, e.g. max cost-per-click of $4.00 Or, you can have platform optimize your bid to achieve your desired results, based upon a fixed budget
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Ad Placement Models Site Direct
Ads are purchased and placed on specific sites Controls where your ad is placed Can be great for niche targeting May be more expensive compared to other methods Programmatic Ads are placed on a network of site(s) Ads enter into an auction, or ad exchange Can be lower cost No guarantee your ad will be shown Less control over where your ad is shown Ad Placement Models
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Digital is a continual feedback loop
Have you ever… Clicked an ad? Clicked on an ad and immediately left the page it took you to? Skipped an ad on YouTube? Watched a whole :30 ad on Youtube? Used the “hide ads like this” feature?
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Ad Quality Scores Strong performing ad high quality score
Low performing adlow quality score Good quality scores amplify your bid in the ad auction: Advertiser X is willing to bid $3.00 and has an ad quality score of 6 Advertiser Y is willing to bid $4.00 and has an ad quality score of 2 Who wins the ad auction?
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Ad Optimization and Testing
Bid and buying method Audience Creative
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Remember… Data makes people dangerous!
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