Thesis

We are building a platform to provide landing page optimization for our clients. We work with internal marketing teams to help them improve the efficiency of their paid marketing efforts across the major online channels (Facebook, search, native, etc). We want our platform to power all of our efforts, and we also want to provide a high level of service to our clients as we help them ideate and execute on landing page tests.

In our market, there are a number of excellent self-service tools (ex: Unbounce) but we believe that those tools often aren’t a great fit for sophisticated, large-scale advertisers. In our first 12 months, we’ve received a lot of great validation and we currently work with over 30 advertiser clients across a range of verticals.

We’ve especially had success with direct-to-consumer e-commerce companies spanning mattresses, kitchenware, razors, sheets, underwear, and more (e.g.: Casper, Invision, Plated, RentTheRunway, Talkspace, GetAround, ManagedByQ, Parachute, Zocdoc, Hubble Contacts, Mack Weldon).

Who we are:

• 26 person team based in Brooklyn, NY
• We started as a full-service agency focused on native/content distribution, and we used our experiences with our clients' campaigns to inform our product buildout.

Our thesis:

• Landing pages are often under optimized and under-resourced.
• Landing page optimization & customization (particularly matching creatives keywords & keywords to LPs) can increase conversion rates.
• Self-serve landing page builder tools are great, but they can be difficult to deal with at scale or for more complex implementations.

Our solution:

• A full service, landing page builder product & service.
• We use our core app to quickly and easily build landing pages for our clients. Each implementation is deployed on a sub-domain or microsite for the advertiser (ex: try.example.com). That allows us to customize each implementation without needing time from the client’s internal dev teams.
• Statistically sound reporting for all experimentation using Google Optimize.