I got tired of scrolling Ad Library before every brief.
Hi, I'm Logan Riebel.
I'm a marketing analytics nerd based in Chicago. I like SQL more than I should, and I have strong opinions about how dashboards should be labeled.
For the last four-plus years I've been at ADP on the performance marketing analytics side: Tableau dashboards tied to Salesforce, media mix and multi-touch attribution pilots, bid tests, and budget conversations on enterprise-scale digital spend. Before that I was at Dentsu (iProspect) on two major telecom accounts, running incrementality work and 50+ A/B tests on large paid search programs. Earlier I freelanced under LR Marketing Analytics and spent a year and a half at OpGo Marketing managing client accounts and building Power BI reporting for paid channels.
That path matters for Mako Metrics. I've sat in the meetings where someone asks "what are our competitors running?" and everyone knows that means another hour in Ad Library. I built this so you get a structured read instead.
Competitor research should not live in screenshots.
Meta's Ad Library is public. The hard part is turning hundreds of ads into something a media buyer or strategist can use before the next creative review.
Structured, not scraped chaos
Every order includes a PDF with the analysis and a ZIP with the ad files. No login for your team to share it around.
Built by someone who reads dashboards daily
I've built governed models in dbt, shipped Tableau for GTM teams, and tested incrementality on real budgets. The analysis reflects how paid media people actually think about winners and losers.
Honest about what Meta shows
We do not claim private spend, ROAS, CPA, or targeting. Reports use public Ad Library data only. If a number isn't in the library, it isn't in the PDF.
A few rules I won't bend on.
- Public data only. No pretending we have a back door into a competitor's Ads Manager.
- Reports should answer "what should we test next?" not "here are 400 thumbnails."
- If I can't explain a pattern in plain English, it doesn't belong in the deliverable.
- AI helps me move faster on analysis and tooling. It does not replace reading the ads.
Fortune 500 teams, agency accounts, and client-side analytics.
ADP
Marketing Analytics Manager · 2022-present
Performance marketing dashboards, attribution pilots, and budget influence on enterprise paid media programs. Built agentic analytics on governed metrics (dbt, MetricFlow, Claude MCP).
Dentsu (iProspect)
Marketing Analytics Manager · 2021-2022
Incrementality testing and attribution for two telecom brands. 50+ A/B tests on bidding, creative, landing pages, and audiences on high-volume paid search accounts.
LR Marketing Analytics
Analytics Consultant · 2020-2021
Freelance Power BI work for healthcare and B2B software clients. Full-funnel dashboards, lead scoring overhauls, and geo-targeting tied to large monthly Google Ads programs.
OpGo Marketing
Performance Marketing Specialist · 2020-2021
Agency-side: 25 client accounts, consolidated reporting in Power BI, and hands-on optimization across a multi-account paid media book.
Tools I work in daily: SQL, Python, dbt, Tableau, GA4, GTM, media mix modeling, incrementality testing, and paid social. LinkedIn
Your competitor is already running ads. You just need them organized.
Browse a sample report for a quick read, or order the full PDF and export ZIP. Most single-competitor orders land within 24 hours.