I help DTC and e-commerce brands understand what truly drives revenue through Marketing Mix Modeling, incrementality analysis, and decision-ready analytics.
Impact snapshot
Currently onboarding 2 new clients
I'm a Marketing Analytics and Attribution specialist with a background in business analytics and marketing, and the person behind the numbers above. There's no team or agency layer between you and the work: I get hands-on with your data personally to find out what's actually driving revenue across your channels.
I work with Marketing Mix Modeling, multi-touch attribution, and causal inference to replace guesswork with measurable, incremental impact: which channels are truly earning their budget, where spend is being wasted, and how CAC and LTV shift as you scale. Here's a closer look at how that plays out in practice.
Let’s talk about your attribution setupTailored analytics solutions: from real-time dashboards to advanced causal attribution models.
Most agencies stop at platform-reported attribution, numbers Meta and Google have every incentive to inflate. I build causal models (MMM, GeoLift) that measure incremental impact, not self-reported clicks.
For DTC brands facing data fragmentation and needing reliable, automated visibility.
For scaling DTC brands requiring advanced, unbiased, causal attribution.
Expert guidance when you need a second opinion or a clear direction.
Hourly analytics support, no retainer required, ideal for testing the fit before committing.
What managed accounts achieved, and how, full write-ups available as PDF.
Unified 4 Shopify brands into one BigQuery analytics layer, replacing manual reporting with a 7-stage ELT pipeline and LTV-based acquisition targets.
Built a Bayesian Regression MMM over a 6-month engagement, quantifying each channel's incremental contribution to traffic as a proxy for sales.
A closer look at the dashboards behind the results above, built for clients across North America and the UK.








Transparent, insightful, and impact-driven: from your first call to ongoing support, you always know what comes next.
A 15-minute call with no obligation. We align on your goals, data landscape, and key challenges, so every decision we make afterward is grounded in your business context.
I review your data sources and tracking setup, then propose a metric framework and dashboard architecture shaped by your feedback.
Automated dashboards in Looker Studio or Power BI, MMM for channel ROI, and MTA for full-funnel touchpoint valuation with weekly progress updates.
Everything is tested for accuracy before we review findings together, so you can act on insights with confidence.
Post-launch, I support continuous improvements and updates. You maintain full ownership of your data and reporting infrastructure.
Sirine joined our team for a media-mix-modeling project and quickly demonstrated she grasped both the statistical nuances and the business stakes so we expanded her role to cover the wider marketing analytics stack. She overhauled our data pipelines and reporting infrastructure, giving leadership near-real-time clarity on spend, ROI, and performance trends. Having already navigated the measurement challenges of optimising an eight-figure budget, Sirine brings the foresight and technical depth that scaling brands need.
Sirine is very competent, thoughtful, takes feedback well, and communicates promptly. I would definitely work with her again. Highly recommend.
She brought a level of enthusiasm and expertise to our marketing mix modeling project that was truly impressive. Always on time, organized, and delivering high-quality work.
Sirine delivered strong work on our MMM modeling and collaborated effectively with the team across both the analytics and attribution workstreams.
I recommend Sirine for any role that draws on her skills in marketing analytics. She was a remarkable contributor and a pleasure to work with.
Transparent pricing designed for DTC and e-commerce brands ready to make smarter marketing decisions.
Limited availability: 2 spots openNot ready for a monthly retainer? Start with a 2-hour audit for $160 or hourly support from $85/hr, no commitment required.
Brands needing reliable visibility
No setup fee
Brands ready for strategic optimization
+ $1,500 one-time setup fee
Large or complex marketing operations
+ $1,500 one-time setup fee
You own everything we build. No lock-ins, full transparency.
Answers to what usually comes up before a first call.
This works best for DTC and e-commerce brands already spending on paid marketing across more than one channel and wanting a clear, unbiased view of what's actually driving revenue. If you're pre-revenue or not yet running paid campaigns, a lighter consulting session is usually a better starting point than a full retainer.
That's normal, and it's the starting point of every engagement, not a prerequisite for one. The data audit in step two of the process is exactly where fragmented tracking, inconsistent naming, and missing conversions get sorted out before any dashboard or model is built.
Foundation-tier dashboards are typically live within two to three weeks of kickoff. Full Marketing Mix Modeling builds usually take four to six weeks, depending on how much historical data is available and how many channels are in scope.
No. Engagements are month-to-month by default. Committing to 3, 6, or 12 months unlocks a discount on the monthly fee and setup cost, but it's optional, not a requirement to get started.
You do. Everything built for your account, dashboards, models, and reporting infrastructure, is yours to keep and use independently, with no vendor lock-in. See the Terms of Service for the full details.
Looker Studio and Power BI for dashboards, Python and SQL for data work, and Meta Robyn or Google Meridian for Marketing Mix Modeling, plus GeoLift for incrementality testing. The goal is always to fit into your existing stack rather than replace it.
Start with a 15-minute call. No obligation, just a personalised look at your analytics setup and a clear roadmap forward.