Brands can’t take a pre-made TV commercial and run it online without any modifications – it won’t be practical or useful.
To launch a performance campaign, allocating a large budget for video production is not necessary. For example, the L’Oréal brand used an existing video for performance tasks – the company added a clear call to action. According to brand representatives, the cost per landing page visit for this campaign was 4x lower than regular brand campaigns.
In the Facebook experiment, analysts divided all ads into three types — low-performing, medium-performing, and high-performing—and then assessed how performance metrics change with the number of impressions. It turned out that for all ad groups, performance growth slows down after the fifth impression and often drops sharply after the sixth impression, especially for campaigns with high initial performance.
Performance ads in general and video ads, in particular, are based on deep and fast analytics. To make timely adjustments to creatives and placements, marketers need to see which combinations of factors drive the most buys and leads in real-time. With the removal of advertising trackers and third-party cookies, this will no longer be possible unless alternative tools are available.
While the industry is in limbo, in the coming months, it will be challenging to say precisely how technology platforms, social networks, and brands will solve the problem of targeting and attribution of ads after the restriction of trackers. For example, Google will begin testing alternative ad attribution methods this year.
Against this background, working with your data comes to the fore. Brands are launching campaigns that specifically target their audience data in the Data Management Platform (DMP). For example, the American fast-food chain Chipotle raffled off $100,000 in bitcoins with one condition: each participant in the raffle must register on the site. Perhaps the importance of CRM marketing will increase in the future – it allows you to build relationships with customers based on personal data they shared voluntarily.
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