DELIVERED WORK AND ORIGINAL RESEARCH
Two kinds of evidence. Projects we have delivered, and research we funded and ran ourselves.
Projects and engagements we have been responsible for.
A paid search strategy built around the cases the firm wanted, delivering higher-quality leads at a lower cost per click and cost per lead. Approximately 120 inquiries in a typical month, of which the client assessed 50 to 70 as qualified.
Read the case studyWe rebuilt the site off a restricted platform, carrying 78 pages and 218 posts, with URL mapping, redirects, contact routing and tracking. The firm can now develop its own content and coordinate website, search and advertising together.
Read the case studyProspX.ai works with partners to develop advertising opportunities across a major global hotel group’s guest Wi-Fi experience, connecting inventory with media planning and advertiser demand. For advertisers, an opportunity to reach travellers during their stay.
Read the case studyProspX.ai created the email templates and helped execute a portion of the retailer’s holiday email program, through one of the company’s most important selling periods.
Read the case studyProspX.ai’s paid advertising strategy delivered higher-quality leads at a lower cost per click and cost per lead, with SEO and website optimization coordinated alongside it. In one 12-month period, 62 homes were bought or sold through the firm.
Read the case studyProspX.ai’s responsibility: the paid advertising strategy, SEO and a rebuilt website, coordinated as one effort and optimized continually. The company expanded its staffing and opened a second location.
Read the case studyWe fund and design our own studies, and publish them.
Hospitality · fielded October 2024
Automotive · fielded early 2022
Hiring · fielded July 2021
Hospitality · fielded November 2020
Our most recent study. We funded research with 100 qualified participants evaluating combinations of 16 messages, then separately reviewed prominent messaging on 48 personal injury landing pages. Messages participants rated highly were not equally represented in the fields we reviewed.
The counts cover the headlines, subheadlines, primary calls to action and main section headings we reviewed.
Explore the personal injury practice and methodologyHow a research finding becomes a message a client can actually run.
We use Optimize, our research tool, to find out what actually influences an audience’s decision. The simulator is the next step: it applies what the research established to proposed headlines, descriptions and combinations, so we can compare candidates before any budget goes near a live campaign.
Live results, not the model, decide what finally runs. The personal injury model below is our working example.
Optimize shows people short combinations of attributes and asks them to rate each one, rather than asking about attributes individually. That is how you learn what someone trades off, not just what they say they like. We use the simulator to compare proposed messaging, then select candidates for live testing in campaigns, websites and landing pages.
Fielding is fast. Our 2020 hospitality study completed fielding in 60 minutes, and the 2024 guest study was fielded and finished in under two hours. Study design, analysis and the work that follows take longer, but the speed of the instrument means research can sit inside a live engagement rather than only ahead of one.
The simulator applies the study’s findings to proposed messaging combinations, including combinations that were not shown together in the original study. Its outputs are model estimates based on participant ratings.
Synthetic responses represent simulated outcomes, not additional people surveyed. Live campaigns establish actual performance.
Tell us what you’re working toward. We’ll discuss where our experience can help and what a useful next step could look like.
Optimize Message Simulator, research-informed messaging comparisons.