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Headlines
AI in 2025: Five trends for marketing, media, enterprise and e-commerce | Digiday, 10 jan 2025
Why are Nano Influencers the Future of Advertising? | Adgully.com, 10 jan 2025
Why So Many Customer Experiences Are Mediocre at Best | Information Week, 10 jan 2025
Programmatic advertising's power trio: AI, analytics, and privacy protection | Campaign India, 09 jan 2025
10 marketing predictions for 2025 as new era of productivity dawns | Marketing Dive, 08 jan 2025
We need to leave these 10 marketing vices in 2024 | The Drum, 08 jan 2025
The 4 principles of modern marketing | Think With Google, 08 jan 2025
Reactive PR & AI: How to capitalize on trending topics faster | Search Engine Land, 08 jan 2025
Consumer and marketing trends 2025: Key insights from Statista | Revista Merca2.0, 07 jan 2025
9 Personal Branding Trends For 2025 | Forbes, 02 jan 2025
November 2017
Mohammad Anas Wahaj | 23 nov 2017
Customer data is key for effective decision-making in marketing and advertising. Even though technology has provided tools to collect and analyze data, and obtain valuable insights, both brand marketers and agency buyers are unsure of the transparency and effectiveness of the data their partners are providing. According to the recent study, 'More Data, More Problems: Trust, transparency, and Targeting in 2017' by Bazaarvoice and Ad Age, more than 75% of survey respondents admitted they are not fully confident that the data they're utilizing is hitting consumers who are in-market to buy. Additionally, 65% of respondents claimed they do not fully understand the origin of their data sources. Here are 10 important questions that one should ask the advertising data provider before embarking on a marketing campaign and get the best value from it - (1) What are the sources of your data? (2) How far does your data reach? (3) What percentage of your data is created from a look-alike model? (4) Which intent signals or behaviors place a user into an audience segment? (5) How do you maintain your audience segments? (6) Can you explain the process behind how you define your audience segments - and the data that feeds into them? (7) In which categories does your data best perform, and why? (8) For which metric(s) does your data best perform, and why? (9) Can you reach the same user across their multiple devices? (10) Does your data drive brand consideration and/or sales, and can you accurately attribute the performance lift directly to your campaign? If so, how? Read on...
AdAge:
10 Questions You to Need to Ask Your Advertising Data Provider
Author:
Toby McKenna
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