Consumer marketing teams don’t have an insight problem. They have an action problem.

Turn fragmented brand, consumer, and retail data into action inside the tools your teams already use. A.Team builds marketing intelligence systems that compress insight-to-action from weeks to hours.

Trusted by consumer marketing leaders at

Grindr
IDC
J.P.Morgan
Northern Trust
lululemon
Santander
ABInBev
Unilever
Grindr
IDC
J.P.Morgan
Northern Trust
lululemon
Santander
ABInBev
Unilever

Why most consumer marketing AI initiatives lose momentum

Teams already have dashboards, analytics partners, and AI tools. But the insights arrive too late, live in decks, and rarely change what happens next.

Platform screenshot showing Core Platform Bot and Marketing Data Analyst Agent

Dashboard analysts toggle between 28+ fragmented tools

Insights stuck in decks instead of workflows

Institutional memory lost when teams or agencies rotate

Weeks from signal to action, too slow for market windows

Dashboard workflow screenshot

Great AI systems should learn and drive action

A.Team builds marketing intelligence systems that unify fragmented brand, consumer, retail, and performance data, then embed recommendations directly where your teams work.

Instead of another dashboard to check, your teams get recommended actions inside PowerPoint, Teams, and planning tools, backed by evidence from past campaigns and predicted outcomes.

  • Unifies brand, consumer, retail, and performance data across systems
  • Surfaces recommendations directly in planning, reporting, and activation workflows
  • Captures decisions and outcomes so the system improves every cycle

Applied to real marketing workflows

Intelligence embedded in the workflows your teams already use. No new platforms to learn, no separate dashboards to check.

Pricing and promotion optimization across retail partners

Post-campaign analysis with action-based next steps

Retail and brand signals unified for faster activation

Learning that persists when agencies rotate or teams change

We focus on collapsing the time between signal, decision, and action.

Systems built for speed, not multi-year transformations

Built for speed, designed for learning.

Speed to value

48 hours to first insight. 90 days to measurable value. Forward-deployed engineers train the system inside your environment, not from a SaaS control panel.

Embedded in real workflows

Recommendations surface in PowerPoint, Teams, and planning tools where your teams already work instead of separate systems no one checks.

Self-improving intelligence

Every campaign decision, outcome, and adjustment trains the system and builds competitive advantage that compounds over time.

Proven in complex consumer marketing environments

A.Team’s approach has driven measurable value for Fortune 500 consumer brands navigating multi-channel complexity, agency ecosystems, and distributed marketing teams.

$300M+ expected revenue uplift

for F500 Beverage CPGs by unifying fragmented customer data across 16+ siloed systems, revealing which marketing investments drove incremental revenue vs. captured existing demand

97% faster time to insight

for enterprise client by embedding intelligence directly in planning workflows instead of quarterly report cycles

80% time reallocation from data assembly to strategic thinking

for F200 CPG S&OP team, with slide generation compressed from 1–2 hours to 90 seconds

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Get the CMO’s Guide to Compressing Insight-to-Action from Quarters to Hours

This planning framework Fortune 500 marketing leaders use to evaluate marketing intelligence maturity, includes decision frameworks, vendor evaluation scorecards, and ROI models to build the internal business case.

Inside:

  • The Intelligence Maturity Assessment: Identify your highest-impact opportunities from your current state
  • The Vendor Evaluation Scorecard: 12 questions that separate real intelligence platforms from repackaged dashboards
  • The 90-Day Deployment Roadmap: Phase-by-phase plan from first insight to measurable business value
The team is focusing on the stuff they should be talking about rather than waiting a month to get historic data that’s already out of date.
Global VP Digital TechnologyFortune 500 Consumer Brand

See what this looks like for your brand

We’ll build a working prototype of your marketing intelligence system in 2 weeks using a sample of your actual brand, consumer, and retail data. Sample recommendations would surface in your existing workflow tools. Full deployments start at $25K/month.

See a 2-Week Prototype
CPG Marketing Intelligence | A.Team