Core Use Cases

Want to better understand if Chord is a good fit for your brand or what tools and manual processes you can expect to replace? These use cases illustrate the most common set of problems and complications Chord resolves while bringing harmony to your data.

Brands want to send personalized emails with educational product content to customers based on their shopping behavior.

Brand marketing teams want to review channel efficacy in revenue generation on a monthly basis to refine their strategy.

Brands are weary of tool proliferation and want consistent, reliable attribution and performance data--down to the campaign level--that is used across all teams. Everything should be in one place.

Brands want to ensure consistent and timely messaging for key segments across email, social media, and advertising services.

Brands needs to identify high value customers to recruit to a loyalty program or serve higher value promotions and early access to new products.

Brands want to understand what patterns exist in their data to indicate churn risk so they can programmatically intervene to increase retention and customer lifetime value (LTV).

Brands want to target customers who have only purchased once with email and social media campaigns promoting (at the user level) the top product they are most likely to purchase next to decrease time between first and second purchase.

Brand growth marketers want to identify and nurture high value customers to maximize their lifetime value.

Brand growth marketers want to target customers who have shown interest in specific products but not completed a purchase (of that product or in that product category).

Brands want to understand and leverage their ad spend data alongside their transactional and user data to derive insights and better identify key trends and opportunities.

Brands want a unified data stack ensure they are capturing consented, compliant data. It’s too hard and time-consuming to instrument, manage, and monitor pixels everywhere, and those pixels cause severe site performance problems.

Brands want direction on what events and metadata are useful and worth collecting to ensure they remain compliant (only collect and store necessary, useful data), do right by their customers, and have the right data to make smart decisions for their business.

Brands want best-in-class data infrastructure that "just works” without point solutions and without becoming a tech company. They want to demonstrate time-to-value in weeks, not months or years.

Brands are struggling to adopt GA4 and trust its outputs; taking ownership of your end-to-end data stack with Chord provides the most complete, trustworthy, and constantly improving e-commerce data platform on the market.