My name is Brian Gourley. I have started 5 different companies and have seen how much data can help grow organizations. From building better products, increasing average-revenue-per user, architecting million-dollar sales and marketing funnels, achieving higher invesment returns, to saving children's lives.
Algorithms, Processes, Asset Selection
15+ years experience analyzing quantitative data in the bond market. Helped National Alliance, Whitebox Advisors, Troubadour Capital and Genysys Asset Management create strategies around data.
You can create 1000s of repeatable data-driven processes. You can save your organization hundreds of hours in manual work using data.
Deploy a CRM strategy like the one I did in Hubspot that helped raise over $160mm for Troubadour Capital LLC. Data helps raise money if you can explain your process using data.
Marketing Funnels, K-12 data analysis, CRM
Don't let product own all of the best math people. Your programmers are probably great at math, but they are spread thinly. We have helped ED Tech companies build multi million dollar funnels using data driven strategies.
We own and work with our own proprietary national database of K-12 districts with over 50 data categories. This encompasses a much larger swath than just a superintendent directory, with actionable insights for content strategy as well as sales and marketing insights.
Help your salespeople know what they are talking about with data driven insights that help them move more sales to "closed won" faster. Grease the wheels of your sales ops using proven data driven strategies.
Analyze large data sets to provide actionable insights
Curewheel was an algorithm developed in 2022 that helped over 400 families access data, to help them navigate the nightmare of pediatric cancer.
Parsed and downloaded over 34 million records from PubMed, and Clinical Trials.gov to identify top providers within a diagnosis.
Extract / Transform / Load . High levels of familiarity with this data set. Pulling, storing, and creating insights.
Residential and Commercial
How are you using data to analyze your deal pipeline? What are the meetings like at your Investment Committee ? Do you have a data-driven way to track what everyone on the team thinks ? How are you centralizing and tracking the deal pipeline? How are you selecting the properties? Are you using data to identify core-performing properties in your portfolio and trying to find more using data? Lets talk
Analyze your clients marketing data. What are you open rates? How can you make them more compelling ? How many people are engaged in your distribution? How are you analyzing the messaging ? What is the content you are prouducing for social and email? Who is analysing it for your organization? Is it a 20 year old intern?
How are you sourcing ideas for site selection ? Is any amount of the process automated? How buried is your team in spreadsheets? Is the information centralized and shared? Are you operating in the 2020s or is your infrastructure 10+ years old? Do your investors ask these questions?
Build the foundation of your processes on solid ground, not shifting sand.
I love helping startups build out their CRM strategy. Go through the customer data they have and find new sources for marketing. Data can be extremely insightful in this process. You don't know until you try, but I would say its a pivotal part of the process.
In 2020, I helped an ed-tech brand build a million dollar pipeline in less than 6 months by combining intelligent marketing with advanced sales ops that armed salespeople with data to have relevant conversations with their clients.
I helped Idealspot refine their product using multivariate statistics for property selection. This attracted several large enterprise clients including Prime Lending, AIG and CREA.
Data insights for social media and marketing strategy
Using data-driven insights to launch a music brand, to assist with strategy and tactics for an indie label.
Creating dashboards to monitor similar musicians to the brand that is being launched to identify key inflection points in strategies. This affect marketing, release strategy, hash tag strategy and social media analytics.
Helping indie label set up landing pages, navigate the meta advertising landscape as well as linking artist to Spotify and helping with release strategy.
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