Why First Party Data
What is DataQ?
Actually using your own first-party data can be difficult. Every ads platform and email service provider (ESP) demands data to be manually uploaded in a different format. There’s little ability to differentiate between high- and low-value customers, let alone pulling out actionable insights about consumer behavior.
DataQ solves this problem. It allows your first-party data to seamlessly connect to email service providers and digital ads platforms. DataQ data is automatically transferred in real-time, securely and anonymously, so you’ll never miss out on up-to-date information. This gives you the option to use your own anonymized, aggregated data to power up your marketing efforts, including enabling high-value audiences on advertising platforms and allowing you to target emails to highly specific audience segments.
DataQ is more than just an incredible audience creation and remarketing tool. It also brings detailed and actionable information on customer demographics, behavior data, and overall performance into a single dashboard. This lets your digital marketing agency find the insights they need to further improve campaign efficiency and make big-picture decisions.
Integrating DataQ Into Your Marketing Stack
For such a powerful tool, setting up DataQ is surprisingly easy to integrate with Shopify or Magento; from there, the insights dashboard is available to view, and you can integrate audiences into Facebook, Instagram, and Google Ads and multiple ESPs, including Mailchimp and Klaviyo.
Use Case Example:
Integrating Shopify with DataQ and Facebook Ads allows you to import your top 20 percent highest valued customers directly into a Facebook Ads audience, which will update automatically as you continue to gain new customers. Using this audience, you can both engage in high-value retargeting, and create high-value Lookalike audiences to find new customers who are similar to your best customers — not your average customer.
Case Studies of Unique Targeting Criteria in DataQ
Lookalikes Based on DataQ Audien