Most ecommerce performance marketing still relies on broken attribution and creative tactics that stopped working in 2021. Build operator-level performance systems that work in the new privacy landscape with real attribution and systematic creative refresh.
iOS 14.5 attribution loss makes Meta campaign optimization impossible at scale
Facebook's algorithm can't optimize without conversion data. Traditional attribution models report 30-50% lower performance than reality, making campaign decisions based on incomplete data. This directly impacts blended CAC, making it harder to justify marketing spend to leadership. iOS 14.5 privacy changes broke attribution models that drove 80% of acquisition decisions
Creative fatigue causes Meta ROAS to decline 20-30% quarterly without fresh content
Audiences get tired of the same ads, but most brands don't have systematic creative refresh processes. Without content pipelines, performance degrades predictably every quarter. This directly impacts ROAS by channel, making it harder to justify marketing spend to leadership. Rising CPCs on Meta and Google make customer acquisition unprofitable without first-party data strategies
Customer acquisition costs exceed lifetime value as competition intensifies on paid channels
DTC advertising competition drives CPCs up faster than conversion optimization improves. Without LTV optimization and channel diversification, unit economics become impossible. This directly impacts LTV:CAC ratio, making it harder to justify marketing spend to leadership. Amazon marketplace competition forces DTC brands to choose between margin and market share
We don't run Facebook ads. We build post-privacy performance systems. Your DTC brand needs someone who understands that performance marketing requires first-party data strategies and systematic creative operations, not campaign tactics. We implement first-party data strategies that recover lost attribution through customer tracking and modeling systems, build creative production systems that maintain ROAS through systematic content refresh cycles and testing frameworks, and create multi-channel acquisition that reduces Meta dependency and improves blended ROAS through strategic platform diversification. This isn't about ad optimization. It's about building performance marketing systems that work when platforms change their rules. We start with your attribution gaps, identify recovery opportunities, and build systematic performance that adapts to privacy changes.
Our approach starts with a thorough assessment of your current growth infrastructure. We review what is working, what is not, and where the highest-impact opportunities are. This diagnostic phase ensures we are solving the right problems before committing resources to execution.
What makes our approach different: attribution-first approach — fix measurement before optimizing spend, channel mix optimization based on incrementality, not platform metrics, systematic creative testing with 2-week sprint cycles. We operate as an extension of your team, not as outside advisors delivering slide decks. The fractional model means you get senior expertise without the overhead of a full-time hire, and the 90-day sprint structure ensures you see measurable progress at every phase.
We build measurement into every engagement from day one. Before we change anything, we establish baseline metrics so progress is tracked against real numbers. Monthly reporting shows what is working, what needs adjustment, and where to invest next. No vanity metrics — only indicators that connect to revenue.
Build operator-level performance systems that work in the new privacy landscape with real attribution and systematic creative refresh.
Our performance marketing methodology centers on three systems: attribution architecture, channel mix optimization, and systematic creative testing. We start by fixing your measurement foundation because you cannot optimize what you cannot accurately measure.
The first phase rebuilds your attribution model from the ground up. We implement server-side tracking, first-party data collection, and statistical modeling to recover conversion data lost to privacy changes. This gives you a reliable view of what's actually driving revenue, not just what platforms report.
With accurate attribution in place, we restructure your channel mix based on true incremental performance. Most brands over-invest in channels that look good in platform dashboards but underperform on incrementality. We run structured tests — holdout experiments, geo-lift studies — to prove which channels actually move the needle. The testing cadence runs on 2-week cycles with clear escalation criteria for scaling or killing creative.
Performance marketing engagements start with a 2-week attribution audit. We review your tracking infrastructure, identify gaps in conversion data, and build a measurement plan that accounts for privacy changes. We also audit current channel performance using incrementality frameworks, not just platform-reported metrics.
Weeks 3-6 focus on rebuilding your performance infrastructure. We implement server-side tracking, restructure campaign architectures, and launch initial creative tests. Weekly performance reviews track spend, CAC, ROAS, and blended efficiency metrics.
From month 2 onward, we run systematic optimization cycles. Creative testing runs on 2-week sprints, channel allocation adjusts based on incrementality data, and we continuously expand into new acquisition channels to reduce platform dependency.
Typical engagements run 3-6 months with daily campaign monitoring, weekly strategy calls, and monthly executive reporting. We work alongside your internal team or manage agency relationships directly.
If your dtc / ecomm company needs performance marketing leadership, we should talk.
Let us take a custom approach to your growth goals by assembling and leading the best-in-class marketing team to support your next stage.
We build first-party data tracking through customer journey mapping, implement server-side conversion tracking, use statistical modeling, and create attribution systems that work without relying on platform pixels.
We build content production pipelines that create fresh creative assets on regular cycles, test systematically to identify winning concepts, and scale successful creative through systematic variation and iteration.
We diversify across Google, TikTok, Pinterest, email marketing, influencer partnerships, and organic channels while maintaining total acquisition volume. The goal is reducing single-platform risk.
DTC has shorter sales cycles, visual creative requirements, and direct attribution to revenue. It requires creative operations, attribution modeling, and channel diversification strategies specific to consumer behavior.
Both. Subscription brands require LTV optimization and retention marketing integration. One-time purchase brands need acquisition optimization and repeat purchase strategies. We adapt tactics to business model requirements.
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