You have more consumer data than ever
Twelve data sources. Three agencies. One insights team reconciling spreadsheets for weeks. By the time a trend reaches a creative brief, the window has moved. We build the system that closes that gap.
12+
data sources unified
48hrs
to first insights
90 days
to production system
70–80%
of your insights team's time is spent assembling data. Not analyzing it.
The bottleneck isn't your team's intelligence. It's the architecture they're working inside.
By the time you act on insights, competitors are already in market.
What most teams try
More tools
Another social listening platform. Another trend report. Each adds signal. None connect to the others. Now you have 14 sources instead of 12 and worse reconciliation.
More analysts
You hire smart people. Within months, they're spending their time formatting PowerPoints and pulling exports instead of analyzing.
Consulting engagements
A strategy firm runs a quarterly "consumer landscape" that's polished, expensive, and stale by the time it's presented. The knowledge walks out the door.
What we build instead
A system with three components that form a closed loop: detect, activate, learn.
The Trend Engine
Connects your existing data sources into a unified intelligence layer. Runs unsupervised pattern detection across all of them simultaneously. Distinguishes signal from noise.
The Brief Builder
Translates detected trends into creative briefs automatically. Takes the gap from "we see something" to "here's what to make" from weeks to hours.
The Activation Loop
Tracks insights from detection through briefing, production, and performance. Feeds data back so the system learns which insights are commercially valuable.
How it works
48-hour proof
We connect your existing data sources and show you what they already know when they talk to each other. Within 48 hours, you see unified consumer signals and first unsupervised patterns.
90-day lighthouse
One category, one market, one full build. The Trend Engine calibrates. The Brief Builder learns your format. By day 90, a working insight-to-activation pipeline.
Scale
Additional categories and markets onboard faster. Cross-category detection becomes possible. Intelligence compounds across the full portfolio.
See what your data already knows
Book a ConsultationConsumer intelligence processes we connect
Trend detection and monitoring
Cross-source pattern recognition replaces manual, source-by-source scanning. The system monitors social, cultural, competitive, and commercial signals simultaneously.
Consumer insight synthesis
Automated, evidence-backed insight summaries replace weeks of reconciliation across panel data, social listening, and internal research.
Creative brief generation
Data-grounded briefs generated within hours of signal validation, with consumer signal, supporting data, recommended angle, and audience context.
Campaign performance attribution
The activation loop closes the gap between "we saw a signal" and "the campaign worked." Performance data feeds forward.
Competitive and cultural monitoring
Competitive moves and cultural shifts surface as they emerge, cross-referenced against your own consumer signals for relevance.
What the system learns
Every insight cycle makes the next one sharper.
Data sources connected. First unsupervised patterns surface. Brief Builder produces initial outputs; team calibrates format and tone.
System distinguishes commercially relevant signals from noise. Confidence scores appear. First activation loop data returns.
Trend Engine anticipates. Recognizes early-stage signal patterns that preceded successful activations. Brief Builder outputs require minimal revision.
Organizational consumer intelligence memory. Analyst turnover doesn't reset the pattern library. New brands onboard with a head start.
Illustrative example — actual timelines and outcomes vary by engagement.
Consumer data sources unified into a single intelligence layer
A global consumer goods manufacturer had insights scattered across social listening, panel data, search trends, cultural monitoring, retailer portals, and internal research.
Insight-to-brief compressed
The Brief Builder learned the company's format and began generating data-grounded briefs within hours of signal validation.
Compounding detection accuracy
By the third cycle, surfaced signals carried measurably higher commercial relevance. The insights team shifted from assembly to strategy.
From the field
See all
88,000 posts in 9 minutes
A consumer insights team was spending weeks monitoring trends their competitors were already acting on. Here's what changed when the system did the monitoring instead.
Read article
The insight-to-action gap
Consumer marketing teams don't have an insight problem. They have an action problem. The gap between identifying a signal and executing on it is where competitive advantage lives or dies.
Read articleEnterprise ready
Your data stays in your infrastructure
Consumer data, panel feeds, and intelligence models run in your environment. First-party data never leaves your perimeter.
Source-agnostic ingestion
Nielsen, Circana, Brandwatch, Talkwalker, Sprinklr, Google Trends, retailer portals, and internal panels.
Research vendor-compatible
Works alongside your existing research partners. Connects their outputs into a unified intelligence layer.
Embedded in your workflow
Insights surface in email and Teams. No new platform adoption required.
Named account lead
A senior strategist who understands consumer insights methodology and your category dynamics.
SOC 2 compliant
Enterprise security and data governance with particular rigor around consumer and panel data handling.
Your insights team shouldn't spend more time assembling data than analyzing it
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
The consumer signals your team detects should feed directly into planning decisions. When trend detection and planning intelligence share the same system, insights reach the P&L faster.
Marketing and media performance
Trend-driven campaigns need trend-driven media allocation. Connected intelligence means your media team optimizes against the same signals your consumer team is tracking.
FAQ
The system looks for patterns across multiple data sources simultaneously rather than monitoring each independently. A signal in social, search, and retail is weighted differently than one in a single channel.
No. The system connects to your existing tools and treats them as data inputs. The value is in cross-referencing signals across sources that currently operate in silos.
Once calibrated (typically 30-60 days), the system generates data-grounded creative briefs within hours of validating a consumer signal.
The Trend Engine calibrates to market-specific signal patterns during each lighthouse. Consumer behavior surfaces differently across regions.
Yes, and that's where compounding becomes most visible. Cross-category pattern detection emerges. Each brand added makes the system smarter for every other brand.
That's the norm. The 48-hour proof works with data as-is. We build the normalization layer during the lighthouse.
Three layers: operational efficiency (time savings), activation velocity (insight-to-market speed), and commercial performance (insight-driven vs non-insight campaigns).
No. Insights surface in email and Teams. Brief Builder outputs in your existing format. Training focuses on workflow integration, not platform adoption.
Additional analysts don't solve the structural problem. They'll spend the same 70% on reconciliation. This system eliminates that layer.
The intelligence stays in your infrastructure. Historical patterns, calibrations, and the insight library stay intact. New data sources plug into the existing architecture.
The lighthouse is a fixed-scope engagement, typically a fraction of annual research vendor subscriptions and consulting engagements.