Display Advertising
Article | July 8, 2022
There is no doubt that we are experiencing times of tremendous change and uncertainty. Yet Univision's mission remains the same -- to inform, empower and entertain U.S. Hispanics.With a strong programming lineup, due to exceptional content partners and a proven strategy, we are focused on super-serving our audience, especially now when they need us most.
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Advertiser Platforms
Article | August 2, 2022
Just like adtech (advertising tech) revolutionized digital marketing, artificial intelligence (AI) is now revolutionizing ad tech. Many digital marketers believe that AI is the next big thing when it comes to digital marketing. This is easy to believe since AI has made automating tasks for proper targeting and positioning of ads, extremely easy and highly effective.
AI is very effective at making ads both lucrative for advertisers and relevant to consumers. Many experts predict that AI will continue to grow significantly throughout the remainder of the decade. AI is being utilized to target ultra-specific niches in order to get the right ads in front of the largest number of highly targeted people.
I has fully proven to be highly valuable in maximizing ad spend. With AI, advertisers are able to establish better quality leads than ever before. Adtech will continue evolving as AI technology continues to improve. This will create an ever-increasing number of adtech software development opportunities advertisers can take advantage of. We’ll take a deeper look at how artificial intelligence is changing adtech.
1. Consumer-focused advertising
Each consumer is relatively different when it comes to their online behavior. This means that the ads for each consumer should be unique too. However, before AI, it wasn’t possible to make content that’s customer-centric for each individual consumer. AI has made it possible for advertisers to create consumer-driven content, which makes ads perform better now, more than they ever have before. There’s an increase in consumer data and that makes it easy for AI to predict the ads that will perform best with different types of consumers.
2. Advanced audience targeting
Adtech has become more relevant with AI. The reason why ads are performing substantially better now than they were before, is because they’ve become more personalized. People get to see the ads that they are actually interested in. Several years ago, it was so hard to find the perfect audience to show an ad to. It was almost impossible. Now, the right audience is selected and targeted with AI-managed ad campaigns through the use of consumer data. Gigabytes of data are analyzed by artificial intelligence in a matter of seconds. It then is able to suggest an ideal audience for each ad campaign. It reduces the work that would have been done by humans in weeks. AI takes only a few minutes and the results are much better.
3. Sentiment analysis based on AI
One of the most recent adaptations of AI is sentiment analysis. Through the use of different techniques, such as computational linguistics and natural language processing (NLP), artificial intelligence can now judge what emotional state a consumer is in. Being able to understand consumer sentiment, allows AI to better understand the preferences and opinions of consumers. Consumer opinions are very important sources of consumer data. As a consumer, you’ll only see ads that are relevant to you. A business experiences an increase in ad clicks, conversions, and revenue through the use of sentiment analysis.
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Advertiser Campaign Management
Article | August 12, 2022
As a marketer, your goal is to create ads that stick in the minds of your audience. You devote extra time and resources to creating memorable graphics, engaging CTAs, and interesting copy that works. You also buy just the right ad spots. But, what happens when your potential customer scrolls right past your ad? Your costly video ad never creates a difference and your campaign fails. Combat this video ad fatigue with audio advertising to effectively influence your target demographic.
After the audio content boom driven by podcasts, audio advertising is rising and becoming marketers’ new favorite. Nielsen Catalina Solutions’ 12-month-long study of audio ads on Spotify versus video and display ads found that audio ads were up to 25% more effective than other ad formats.
Mostly, audio ads are delivered through podcasts. We’ll dive into this shortly. First let’s look at how audio advertising can influence the buying decisions of your target audience:
Audio Advertising: Superpowers Explained
Audio advertising uses a broad content category such as background scores, jingles, and branded content apart from audio ads. By fusing audio ads into audio experiences such as ad-supported music streaming or podcasts, marketers can position relevant products and services in front of customers. Here are more of its advantages:
Audio Ads Offer Immersive Experience
A study done by Lightwave and iHeartMedia showed that one of the biggest benefits of audio advertising was its ability to connect with the audience on a deeper level. Remembering catchy jingles is also a part of this connection. Audio ads communicate emotions, capture the attention of the listeners within seconds and engage them enough to paint a picture in their minds. They achieve this without a big budget or production crew. A strong script and an audio booth are all you need to create an immersive audio ad.
They Have a Greater Reach
Primarily, audio ads are delivered through podcasts because they can be easily categorized and are widely consumed. According to Statista, almost 60% of all U.S. consumers older than 12 listen to podcasts. Interestingly, 70% podcast listeners do not multi-task while listening to a podcast, so you are catering to alert listeners who might end up retaining your ad (Edison Research). Apart from podcasts, audio ads are also run in locations such as radio, music, and news streams.
They Are Insightful and Creative
Marketers can use 3D and 8D audio to create soundscapes that offer an immersive experience. Additionally, audio ads create a 1-to-1 relationship. With the help of programmatic advertising, they also collect many layers of data that provide buying insights. Integrating audio ads with voice assistants is a creative approach to entice customers while being interactive.
Nars Cosmetics UK used Spotify to offer its customers voice commerce. Upon hearing the ad on Spotify, they could order samples and set up delivery using their smart speakers.
Smart Speakers Are Changing the Game
Smart speakers are contributing to screen-less moments in American homes. This means your video ad campaigns won’t get the kind of response you expect, but your audio ads just might. The Edison Infinite Dial report found that there is an average of 2.3 smart speakers in each home in the U.S. This number shows that a wide range of people use voice search and will listen to audio ads as a result.
Summing It Up
Audio advertising drives engagement and conversion through immersive storytelling, catchy jingles, and longer ad retention. It can be a great addition to your digital marketing strategy and refine the way you influence your audience’s buying decisions.
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Social Media Advertising
Article | July 14, 2022
Marketers and agencies must investigate the relevant counterfactual to advertising exposure to assess advertising effectiveness. Ghost ads can compare exposed and non-exposed consumers to measure ad-related behavior changes.
What are Ghost Ads?
Ghost ads are a great way to measure ad effectiveness or incrementality (the lift or increase in desired outcome through marketing) because they allow brands to see how their ad is received by two distinct consumer groups: those targeted and those who would have seen it organically.
Leveraging Ghost Ads for Causal Ad Measurement:
Here is why leveraging ghost ads to measure ad-related behavioral changes is a great idea:
You don’t need to invest additional funds to create a control group
You can have extensive reach within the DSP (demand-side platform)
You can measure behavior for all formats such as mobile, audio and CTV
Ghost Bidding: Mapping Consumer Behavior:
In ghost bidding, a DSP platform accepts auctions for ad placements on publisher websites/apps/connected devices and bids on them. It records whether the auction was won (and the ad displayed). Before bidding, the platform assigns the user ID to a control or exposed group. For control group users, the bid is withdrawn so that no ad was shown during the study.
This creates two identical groups, one that saw the ad and one that didn’t. You can then compare the test and control groups' website purchases, landing page visits, etc. Over a period of time, it is possible to record large effect sizes across several behaviors.
A Large U.S-based Apparel Company Measured Their Ad Incrementality Using Ghost Ads:
Using ghost ads and ghost bidding, a U.S based apparel company measured its ad incrementality. Over 21 million unique individuals saw the company’s ads over a 15 month period, for an average of around 35.4 ads per individual. The exposed group had a 1.42% greater chance of visiting the site, for a topline lift of 54.9%, compared to the ghost ad viewers. With this information, the company was able to optimize its advertising campaigns on the flu to have a bigger impact on its audience.
Last Word:
Cost-per-click, cost-per-site-visit, and other metrics used by marketers don't show any change in advertising behavior. Ghost Ads are the most cost-effective way to analyze digital marketing campaigns' causality.
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