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Headlines
10 marketing trends to watch now | TechTarget, 24 may 2026
Owning the Seams: Where CX Leadership Earns Its Seat | CMSWire, 23 may 2026
How accessible packaging is changing the retail experience | Retail Customer Experience, 22 may 2026
Marketing Media Money: Advertising Spend | CNBC Africa, 22 may 2026
EMPLOYER BRANDING HAS LOST ITS WAY – AI WILL MAKE THAT IMPOSSIBLE TO HIDE | Recruiter, 21 may 2026
Branding Touchpoints and Why They're Vital | American Coin-Op, 21 may 2026
UK researcher studies how sensory cues in retail influence consumer behavior | Lane Report, 20 may 2026
Generative AI in Marketing: Five Steps to Scale for Real ROI | Bain & Company, 19 may 2026
In the age of AI and data, market visits remain the real source of consumer insight | Exchange4Media, 18 may 2026
Redesigning Your Marketing Organizaition for the Agentic Age | Harvard Business Review, 08 may 2026
Marketing Anchors: The case for capability in an era of transformation | Ipsos, 19 march 2026
Trendspotting in 2026 - How brands can separate passing fads from valuable consumer insights | AdAge, 05 march 2026
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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