Your best insights arrive after the budget is spent
Media-attributed sales live in one system. Campaign data lives in another. ROI models take weeks to run. By the time your team sees the full picture, the quarter is already over. We build the system that closes that gap.
16
measurement platforms unified
48hrs
to first attribution insights
90 days
to full attribution system
6–8 wks
between when media dollars are spent and when your team sees what actually worked.
Your team isn't slow. Your infrastructure is.
Your team's insight cycle is measured in months. The market moves in days.
Media performance data passes through vendors, agencies, and internal teams before anyone can act on it. Each handoff adds weeks. By the time insights reach leadership, market conditions have shifted, follow-up questions have stalled in a backlog, and investment decisions are being made without the data they were waiting for. Your team isn’t slow. Your infrastructure is.
What most teams try
More dashboards
You have a BI team, an ROI vendor, an agency analytics layer, and retailer-specific reporting. None of them agree on the same number.
More agency scope
Your agency already consolidates campaign data. The problem isn't their capability — it's the handoff chain. Every link adds latency, every translation loses nuance.
Point-solution AI tools
Copilot, ChatGPT Enterprise, internal experiments. Impressive-sounding answers that don't match your KPI definitions.
What we build instead
The Performance Engine
Connects your ROI data, campaign data, retailer POS, competitive intelligence, and sell-through signals into a single queryable system that understands your KPIs.
The Optimization Advisor
An embedded intelligence layer inside Teams or PowerPoint that answers questions in the middle of a review, drawing from every connected data source.
The Attribution Bridge
Maps relationships between measurement systems, explains discrepancies, and gives your team a coherent picture they can make decisions from.
How it works
48-hour proof
Connect your existing data sources. Within 48 hours, see your media performance data unified, annotated, and queryable. Your team validates the business context.
90-day lighthouse
One brand or portfolio. One set of review cycles. Full build with your team iterating alongside ours. Auto-generated pre-reads and natural language querying.
Scale
Additional brands and portfolios cost less because the system already understands your KPI framework. The intelligence compounds with every review.
See what your media data already knows
Book a ConsultationMedia processes we accelerate
Monthly / quarterly performance reviews
The pre-read gets auto-generated from live data. Your team walks in knowing what's trending, underperforming, and why.
Channel and campaign optimization
Real-time visibility into which channels, campaigns, and creative executions deliver against your targets.
Media investment planning
Connect ROI forecasting to actual in-market performance. Model scenarios grounded in your own historical data.
Cross-channel attribution
Unify measurement across owned, paid, earned, and retail media. One source of truth for media-attributed sales.
What the system learns
Every campaign cycle makes the next one sharper.
Baseline attribution calibrates across connected sources. First cross-channel signals surface: which spend drives sales lift, which runs flat, where data has gaps.
Seasonal patterns emerge. Reallocation recommendations start appearing with confidence scores. Your team stops debating gut feel and starts acting on evidence.
The system anticipates shifts before they hit. Pre-positions budget recommendations based on learned inventory cycles and historical performance curves.
Institutional memory for your media organization. Team turnover doesn't reset your learning curve. Agency transitions don't erase attribution history.
Illustrative example — actual timelines and outcomes vary by engagement.
Incremental revenue identified in 90 days
A global beverage company's media team was operating on quarterly agency readouts arriving six to eight weeks late. We connected media spend across channels that had never shared a data model.
Awareness channels outperforming "performance" channels
The same engagement surfaced a structural misallocation hidden by siloed measurement. Channels budgeted as awareness-only were outperforming dedicated performance channels.
From quarterly readouts to weekly attribution cadence
The system compressed the insight-to-action cycle from six to eight weeks to weekly. Optimization recommendations now surface while campaigns are still running.
From the field
See all
$180M in 90 days
A global beverage company's media team was optimizing against the wrong signal. Here's what happened when the system connected 16 platforms and showed them what the data actually said.
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Your data stays in your infrastructure
Media performance data, retailer POS, and attribution models run in your environment.
Platform-agnostic ingestion
DCM, Meta, YouTube, CTV platforms, Amazon Ads, retail media networks, Nielsen, IRI, and internal trade systems.
Agency-compatible, not agency-dependent
The system gives you independent visibility into what's working alongside your agency relationships.
Embedded in your workflow
Insights surface in email, Teams, and the tools your team already uses.
Named account lead
A senior strategist who knows your business, your category, and your data landscape.
SOC 2 compliant
Enterprise security and data governance standards.
Your media budget shouldn't wait 8 weeks to find out what's working
Tell us what you're trying to connect. A typical first conversation is 30 minutes. No pitch deck. We'll scope a 48-hour proof on the first call.
S&OP and planning intelligence
Your planning cycle feeds your media performance. When the pre-read is auto-generated and the strategy assistant answers questions in real time, your media team walks into reviews already knowing where to reallocate.
Consumer and market intelligence
The trends your consumer team detects are the signals your media team needs to optimize against. Connected intelligence means your media spend follows actual consumer behavior.
FAQ
The 48-hour proof connects your data sources and shows the first cross-channel view. Most teams see actionable reallocation signals within the first 4-6 weeks as the model stabilizes.
At minimum: media spend data and a sales signal (retailer POS, DTC conversion, or internal sell-through). We typically integrate 6-10 sources starting with what's most accessible.
We ingest what each platform makes available, then unify it by connecting platform spend to downstream sales outcomes.
No. Your agency continues to plan and execute media. This gives you an independent attribution layer so you can evaluate recommendations against actual performance data.
Traditional MMM is periodic. This is continuous — attribution updates weekly, signals surface in real time, and the model recalibrates as new data flows in.
The system works alongside incrementality and lift studies. Test results strengthen the attribution model over time.
Yes. The lighthouse starts in one market. Each new market onboards faster because the system has already learned structural patterns.
That's the norm. The 48-hour proof is designed to work with data in its current state. We build the normalization layer as part of the lighthouse.
By connecting digital media spend to store-level POS and retailer data. This is often where the largest insights hide.
The lighthouse is a fixed-scope engagement, typically a fraction of current agency analytics retainers. Even a small reallocation improvement covers the cost many times over.