Programmai marketing pages examples
Explore Programmai website design examples. Preview marketing pages and browse related SaaS page designs. Predictive marketing & advertising for e-commerce
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Landing page for a predictive marketing platform highlighting audience building, lifetime value prediction, and incrementality testing, supported by customer testimonials and demo CTAs.
Landing page section highlighting predictive marketing capabilities using a four-column feature grid with isometric icons, followed by a bottom call to action.
Product page detailing how the platform connects first-party data to predict customer behavior and activate audiences across ad channels.
Feature page detailing how the product connects to first-party data sources like Google Analytics and ESPs to build customer profiles and make predictions.
Feature page explaining predictive customer analytics capabilities, including conversion likelihood, lifetime value, and churn risk, supported by a customer success story.
Customer stories page highlighting case studies from brands like Treatwell and Student Beans, featuring alternating text-and-image layouts, key performance metrics, and large pull quotes.
About page detailing the company's mission, introducing the team members, showcasing customer logos and a testimonial, and listing open roles.
Blog index page where the user can filter articles by categories like Community, Company, and Engineering, read recent posts, and sign up for a newsletter.
Blog article featuring an interview about sustainability in marketing, interspersed with styled pull quotes, followed by related insights and a bottom call to action to book a demo.
Contact page where the user can submit an inquiry directed to sales, support, or other departments, view the office address, or navigate to product and career pages.
404 error page where the user is informed the page cannot be found and is prompted to return to the previous page.
Privacy policy page detailing what data the company collects from website visitors, how it is used for marketing, and how individuals can manage their data preferences.
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