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Headlines
Navigating The Digital Marketing Landscape: Effective Strategies For Today's Market | Forbes, 16 apr 2024
'Emails Work!' This Entrepreneur Says Email Marketing Is Still the Best Way to Connect and Sell. Here Are His Top Tips | Entrepreneur, 16 apr 2024
CONNECTING WITH CUSTOMERS—WHY BRANDS SHOULD SHOW FLAWS AND VULNERABILITY IN THEIR MARKETING | AdAge, 16 apr 2024
Diversity of India missing in advertising: ASCI-UA report | The Economic Times, 16 apr 2024
US Retail Loyalty Programs: Decoding Consumer Behavior To Build Lasting Relationships | Coresight Research, 16 apr 2024
How's you bank's customer service? Study suggests it could be better | Consumer Affairs, 16 apr 2024
DIY PR: 11 Public Relations Solutions for Small Businesses | Business News Daily, 12 apr 2024
Why branding matters for governments: Five minutes with graphic designer Paula Scher | Global Government Forum, 11 apr 2024
Ethical marketing in the digital age: Balancing innovation with integrity | ClickZ, 13 mar 2024
Leveraging machine learning for predictive analysis in customer satisfaction surveys | Data Science Central, 01 mar 2024
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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