At the same time, regulators and technology platforms have restrict techniques. Such as device IDs and third-party cookies. That advertisers have reli on for decades to reach audiences and measure results. The advertising industry nes to innovate and collaborate to meet people’s privacy expectations and help companies grow sustainably.
That’s why Google partner with many
You to develop new privacy-focus solutions that support your marketing goals and keep people’s information safe. We’ve found that the best strategy to accomplish this requires three main actions:
- 1. Deepen customer relationships with the help of consent first-party data
- 2. Adopt automation bas on accurate models
- 3. Use new technologies that do not track people on the Internet
►Deepening customer relationships with consent first-party data
Building meaningful customer relationships requires gambling data mexico you to first earn people’s trust. This requires, among other things, helping your customers understand and choose how their data is us.
91% of consumers in the countries survey say it’s important for brands to be transparent about the data they collect on their customers, and so we all ne to communicate more clearly what data is being collect and why, and how we keep it secure.
We’ve also innovat with our ads and measurement platforms to help you strengthen your database of long-lasting, consent first-party data and make the impress clients with a professional appearance most of your customer interactions at scale. For advertisers, the new Google label powers measurement and informs other privacy-safe solutions like Google Analytics, helping you gain insights faster than ever before and even prict future outcomes.
And for marketers operating in the European Economic Area and the UK, consent mode offers greater insight into conversion data while automatically adjusting labels bas on user consent choices.
Embrace automation bas on accurate models
Even with a solid foundation of consent first-party whatsapp filter data, less observable data can create gaps in the customer journey. Among digital mia professionals, 85% say cookie loss and accurate measurement are two of their top challenges. That’s where automation can help.
For years, advertisers have reli on machine learning to model conversion rates when there is a gap in available data between an ad interaction and a conversion, such as in online and offline transactions. Today, innovations in conversion modeling can also help us resolve unknowns in the customer journey in a privacy-safe way by using machine learning, support by user-provid data.