Marketing analytics & strategy
Find the signal in acquisition, retention, and product data. Build a useful model. Turn it into a recommendation a brand can act on.
LTV:CAC · Cohorts · Forecasting · A/B tests
Marketing analytics, systems & AI
I turn marketing data into the next right move.
I'm Solomon. I work with consumer brands to understand what's happening, decide what comes next, and build the systems to get there.
Cohort models. Spend pacing. AI workflows. The common thread is making a team better at what it does.
Built in the real world
RIDGEBoring EcomKynship+ fractional work
What I'm focused on
Better decisions.
Better ways of getting there.
Systems & AI automation
Take the work that keeps repeating and build a better way to do it. Connect the data, automate the reporting, and give the team something it will actually use.
AI skills & agents · APIs · ETL · Internal tools
Selected work
A few things
I've put to work.
Different problems. The same habit of closing the gap between information and action.
Marketing infrastructure
built for a growing brand.
As part of Ridge's early team, I reported to the CMO and built the dashboards, ETL pipeline, and forecasting models used across paid social, partnerships, ecommerce, and leadership.
The brand grew from $50M to $140M+ during my time there. My contribution was the reporting infrastructure that helped those teams make decisions as the business changed.
Read my CMO's recommendation30+people using the reporting daily
Built through a period of growth$50M $140M+
Raw data→Shared reporting→Decisions
Making subscription
health easier to see.
I modeled cohort retention and LTV, analyzed churn and cancel-flow performance, and read out A/B tests for DTC subscription brands. Then I built repeatable reporting workflows and used AI to turn that analysis into clear leadership presentations.
Connecting creative
operations and performance.
I oversaw creative workflows for ten brands, led forecast QA and modeling automation for twenty, and built basket analysis frameworks the agency adopted across its client base.
Marketing judgment,
with a builder's toolkit.
I've partnered with Groove Life, Flat Circle, Matter AI, and Adapt Naturals on spend pacing, LTV:CAC, forecasting, RFM scoring, and product analysis.
Today I'm also building AI workflows and internal tools that connect APIs, automate recurring work, and make marketing operations easier to run. Claude Code, Codex, and n8n are part of that toolkit.
Have a problem worth building for?Notes from the work
Things I keep
coming back to.
I write about marketing, data, AI, and the occasional thing that has nothing to do with any of them.
DATA & DECISIONS
AI & OPERATIONS
MARKETING STRATEGY
A dashboard earns its place when someone uses it.
What building reporting at Ridge taught me about adoption.
The next step is connecting the AI work.
From individual experiments to systems a whole team can run.
A brand should remember what it's learned.
The case for a marketing playbook that compounds over time.
The person behind the work
Curious about
the whole picture.
Analytics. Creative. Retention. Systems.
It all connects.
I started in copywriting, video, and design before moving into retention and marketing analytics at Ridge. That background still shapes how I work: the numbers matter, and so does understanding the person on the other side of them.
I like getting close enough to the different parts of a business to see how they affect each other. Then I build the model, dashboard, or workflow that makes the next decision easier.
Outside of work, I'm a Christian, husband, dad, and Praxis mentor in Indiana. Lately I've been drawing commissions, making art for my church, and building small things just because they sounded fun.
Let's talk
What are you
working on?
A consumer brand to understand. A workflow to improve. A team looking for someone who can think through the problem and build the thing.
solomon@solomonhanes.comOpen to conversations about roles, projects, and useful problems.