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Solid consumer behavior analysis is what allows marketing professionals and advertisers to build a robust marketing strategy. Until recently, the way consumers and target audiences behaved could be discovered and was readily available through cookies, Apple IDFA, and third-party data pools. But the trouble in the paradise began with the privacy activist becoming active globally.
Will I be able to accurately target audience cohorts based on behavioral data?
Will my ads attract the right eyeballs?
Is my ad better than my competitor's ad?
Is my ad better than my competitor's ad?
How will I attain higher ROAS across campaigns?
How will I attain higher ROAS across campaigns?
How will I learn what my customers want?
What will I rely on when I want to optimize my campaigns?
How will I track the efficacy of my ads?
These transformations and the landscape evolving towards a privacy-first world leave advertisers with a short window to figure out a new marketing strategy. In case the point is not conveyed clearly here, we are talking about losing a massive market share and data of over a billion users!
Gone are the days when there was a vast data pool and maximum third-party data providers. The need of the hour is to build trust-based dialogue with customers transitioning into a strong bond in which data is exchanged “with consent.”
Marketers and advertisers will have to devise strategies to build relationships with customers to collect their own data. But this could mean a lot of extra work and effort. It could also mean a lot of time to collect this data to have enough substantial information.
It is not as simple as it sounds and comes with its own challenges. Luckily with evolving AI technology and the need for new business models, data providers are shifting to collecting their own zero-party data, with the consent of the users, which they can present to brands, advertisers, and marketers to help with their campaigns.
