DIFFERENTIATE YOUR BRAND FROM COMPETITORS IN REAL TIME

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Yandex and Google are improving Paid Search advertising technologies for the most accurate segmentation and narrow targeting of the audience. Big data analysis and mathematical modeling allow for quick and effective management of advertising campaigns. However, automation of tasks for forming a USP to differentiate from competitors is impossible.

We recommend

Pay more attention to developing the USP for brand updated 2024 mobile phone number data differentiation. The Paid Search channel is unique in that competitors and their USPs can be analyzed in real time. Adjusting advertising tactics, increasing or decreasing rates depending on the market situation, and quickly responding to competitors' actions can increase ROAS by up to 60% in a number of industries. As a practical recommendation, we suggest analyzing competitors' USPs in the form of petal diagrams available in this study.

8) USING DATA DRIVEN ATTRIBUTION



More and more companies are implementing omnichannel promotion strategies. At the same time, the issue of assessing the effectiveness of complex investments in marketing is becoming acute, because for this it is important to consider the role of each promotion channel in the overall ecosystem. This is made possible by accumulated data and machine learning technologies.

We recommend

Use custom attribution scenarios that take into account the weight of different channels based on first-party data. A ready-made solution is Data Driven Attribution in Google Ads. The model uses data from Google Analytics, automatically distributing weight between channels involved in the conversion path.