Marketers have access to more information about their customers than ever before, but generating usable insights from those mountains of data and launching campaigns quickly remains a major challenge. Why? Many organizations still struggle to bridge the gap between their customer insights (audience data, market research and intelligence) and marketing execution (look-alike modeling, targeting and advertising).
Audience data often becomes muddied as it’s passed between key marketing stakeholders, data scientists and outside media agencies. Disparate spreadsheets, data sets and systems make it hard for media buyers to operate based on the most recent, relevant audience data streams.
The key is to harness the power of big data while removing the roadblocks that keep audience insights siloed across the organization. Only then can marketers target the right audience with the right message in the right place, in order to maximize their data for greater ROI.
How to Eliminate the Data Game of Telephone
1) Move Beyond Personas
The belief that a company has “four buyer personas” is a great place to start, but more customer data might reveal that the company in fact has 50, 100, or even more segments of customers.
Personas are a useful jumping off point to start conversations, but they should never replace in-depth audience data and micro-segmentation when it comes to strategic decision-making and ad buying.
2) Make Data Available to the Entire Team
Prioritize making real-time audience data available across the organization—and to your third party media buyers. Empower marketers, audience researchers, data scientists and agencies to access the raw data they need to find correlations, segment more accurately and run real-time campaigns based on the freshest data.
Not sure how to centralize your data systems? One option is to ask your data partners if they can integrate for you. They often have a vested interest in integrating with as many platforms as possible, as this adds lasting value to their product.
“When we go to a client, we’re usually asking them to let us handle the integrations,” Peter Kang, co-founder of Barrel says about the companies he works with. “The responsibility of the client is to either select software and tech that does integrate, or to apply the necessary pressure to their existing software providers to build those integrations.”
3) Ensure Your Data Is Accurate
If your marketing team is making data-driven decisions, the quality of their work depends on the quality of your audience data.
Stitching together the complete picture of your audience from multiple data sources is challenging, and integrating third-party data requires technical skill, expertise and careful consideration. You must heavily vet the data you buy for validity, consistency, and ease of integration with existing first-party data sets.
You can vet the quality of third-party data by asking these 3 key questions.