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Meet the AI-native
Growth Infrastructure

Hilbert is a scalable, data science-first growth infra that gives B2C teams predictive clarity into user behavior, revenue drivers, and the actions that drive sustainable growth. Fully agentic by design, Hilbert shrinks months-long decision cycles to minutes.

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CUSTOMER STORIES

The teams that move fastest trust the same infra.

Leading B2C partners use Hilbert to turn fragmented data into decisive action and sustainable revenue growth.

"The solution of Hilbert is amazing in the sense that you can gather all of our data — retail, inventory, e-commerce — into one location, where anybody in the company can come and ask the questions they're looking for."
"What I see with Hilbert is that they're going to be able to capture all that human emotional resonance that is missing context in most marketing speak today."
"Hilbert really understands retail and operational workflows — which allows us to build forecasting and machine learning models we can use in our day to day."
"This is some text inside of a div block."
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FROM CHAOS TO CLARITY

One Infra. Four Intelligence Layers. Built for Momentum.

Hilbert turns fragmented data into clear answers and decisive actions using a proprietary architecture of AI/ML algorithms accessible through natural language. No code, no dashboards, no guesswork.

Detect
Metric Anomalies
Trend Shifts
Churn Risk Signals
Cohort Evolution
Behavioral Clusters
Unit Economics Changes
Reason
ML/Deep Learning
Root Cause Analysis
Counterfactual Outcomes
Statistical Forecasting
Cross-Sell Opportunities
High-Value User Patterns
Act
Autonomous Growth Tasks
Early Churn Interventions
Reactivation Plays
pLTV-Based Targeting
Paid Channel Adjustments
Reporting
Optimize
Budget Allocation
Profitability vs. Growth Seesaw
Learning Loops
Performance Comparisons
FRAGMENTED GROWTH EFFORTS

Your growth engine isbroken. broken broken broken broken

Fragmented intelligence

Your product, marketing, and finance data live in silos. Teams piece them together with dashboards and spreadsheets, but the full customer story never emerges.

Always one step behind

By the time churn spikes or revenue dips, the underlying behavior has already shifted. Dashboards surface outcomes after the fact, not the signals that matter earlier.

Trapped by vanity metrics

Growth is broken into isolated KPIs and targets. Metrics get hit, but behavior doesn’t change - and real growth drivers remain hidden.

SOLUTION = AI-NATIVE GROWTH Infra

Insight-to-impact in a single, infinitely scalable infra

More signal, less noise, no fragmented tools.

DETECT

See shifts before they shape your results

Hilbert monitors every signal across products, cohorts, and channels, spotting anomalies and emerging trends before they impact your top-line metrics.

Detections
Acquisition & Active Users
11%
Active User Count increase last week
69%
Manhattan divergence in acquisition last month
11%
Brooklyn, web divergence in acquisition last week
12%
Brooklyn, value low divergence in acquisition
Revenue & AOV
21%
Value high revenue increase last week
21%
Web, decay low, value high divergence in revenue last month
24%
Brooklyn, decay low, value high divergence in revenue last month
Orders & Frequency
18%
Decay medium, value high divergence in order count per user last month
32%
Manhattan, decay medium divergence in order count per user last month
29%
Brooklyn, value high divergence in order count last month
1.4%
Brooklyn, value high divergence in order count last month
Detection Summary
Timeline: Last month
Metric: Acquisition
Audience: Manhattan
Size: 43.5% of users, 44.7% of revenue
Change: Increased by 69.0% (from 562 to 950), last year increased by 1.1% (from 1,386 to 1,401)
Comparison: Topline increased by 94.1% (from 1,631 to 3,166), last year increased by 16.8% (from 4,131 to 4,825)
WHY IT MATTERS
  1. Concentration risk — Manhattan drives material business performance. ~44.7% of revenue and ~48.4% of change are in Manhattan, so swings there drive overall volatility and forecast risk.
  2. Sudden, likely non-seasonal acquisition lift vs prior year baseline. +69% MoM vs +1.1% YoY points to a discrete driver or artifact that may inflate KPIs.
  3. Topline rising faster than acquisition implies mix or pricing changes. +94.1% revenue vs +69% acquisitions implies higher revenue per acquisition or one-offs—validate unit economics.
  4. Operational and fraud/data integrity risk that requires quick validation. Could be tracking/attribution errors or fraud; unchecked, it misguides spend and strategy.
REVENUE & AOV ORDERS & FREQUENCY Detections Active User Count increase last week  11% Brooklyn, web divergence in acquisition last week  11% Manhattan divergence in acquisition last month 69% Brooklyn, value low divergence in acquisition 12% Value high revenue increase last week 21% Web, decay low, value high divergence in revenue last month 21% Brooklyn, decay low, value high divergence in revenue last month 24% Decay medium, value high divergence in order count per user last month 18% Manhattan, decay medium divergence in order count per user last month 32% Brooklyn, value high divergence in order count last month 29% Brooklyn, value high divergence in order count last month 1.4% Last month  Acquisition  Manhattan  43.5% of users, 44.7% of revenue  Increased by 69.0% (from 562 to 950), last year increased by 1.1% (from 1,386 to 1,401) Timeline: Metric:Audience:Size:Change: Comparison:  Topline increased by 94.1% (from 1,631 to 3,166), last year increased by 16.8% (from 4,131 to 4,825) DETECTION SUMMARY WHY IT MATTERS ~44.7% of revenue and ~48.4% of change are in Manhattan, so swings there drive overall volatility and forecast risk. +69% MoM vs +1.1% YoY points to a discrete driver or artifact that may inflate KPIs. +94.1% revenue vs +69% acquisitions implies higher revenue per acquisition or one-offs—validate unit economics. Could be tracking/attribution errors or fraud; unchecked, it misguides spend and strategy. Concentration risk — Manhattan drives material business performance. Sudden, likely non-seasonal acquisition lift vs prior year baseline.Topline rising faster than acquisition implies mix or pricing changes. Operational and fraud/data integrity risk that requires quick validation. ACQUISITION & ACTIVE USERS
[COMPREHENSIVE ANALYSIS] COMPOUNDING VS. TEMPORARY GROWTH INITIATIVES 2024/25

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Executive Summary

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Based on detailed analysis of Company’s customer data from January 2024 to December 2025, I've identified which initiatives produced sustained, compounding improvements in customer value versus those that created only temporary metric spikes. The analysis reveals a challenging baseline: overall customer value scores declined 37% (from 34.83 to 21.95) during this period, making it critical to identify initiatives that successfully counteracted this trend.

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KEY FINDING: THE COMPOUNDING WINNER

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#1: Subscription Program Update

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Outperformance vs. Baseline: +29.03 percentage points Hilbert Value

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The Evidence:

  • Baseline Decline: Non-subscribers experienced a -36.97% decline in value scores
  • Subscriber Performance: Subscription members declined only -7.94%
  • Sustained Impact: The protective effect persisted across all 24 months analyzed

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Hilbert Value Score Comparison (Jan 2024 → Dec 2025):

  • Subscribers: 45.28 → 42.29 (maintained 93% of initial value)
  • Non-Subscribers: 33.95 → 19.86 (retained only 58% of initial value)

Compounding Mechanisms Identified:

  1. Frequency Compounding (Primary Driver)
    • Subscribers consistently order 25-35% more frequently than non-subscribers
    • Jan 2024: 3.69 vs 2.95 orders/customer/month
    • Dec 2025: Still maintained at 1.43 vs 1.33 (even in partial month)
    • This frequency advantage compounds monthly, creating exponential value growth
      ‍
  2. Revenue Per Customer Compounding
    • Subscribers generate 25-40% more revenue per customer monthly
    • Jan 2024: $554 vs $442 per customer
    • Nov 2025: $579 vs $441 per customer
    • The gap widened over time, indicating true compounding
      ‍
  3. Behavioral Lock-In (The Loyalty Loop)
    • Renewal Patterns Show Compounding Loyalty:
      • One-time subscribers: 19.5% still active
      • Renewed once: 56.5% still active
      • 3-5 renewals: 76.4% still active
      • 6+ renewals: 70.6% still active

Why It Compounds: The Subscription program creates a self-reinforcing cycle.

‍

Cohort Analysis Reveals Sustained Impact:

  • Q1 2024 subscribers started at 56.44 value score
  • After 18 months (Sept 2025): 51.44 value score
  • Decline of only 8.9% vs. baseline decline of 37%
  • The longer customers stay subscribed, the more resilient their value scores become
#2: Premium Service Areas (San Francisco)

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Outperformance vs. Baseline: +14.04 percentage points Hilbert Value + Lower Decay

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The Evidence:

  • Segment 1 customers: -22.92% decline (37.41 → 28.83)
  • Segment 2 customers: -37.97% decline (34.65 → 21.49)
  • Net benefit: 14 percentage points of protection

Sustained Advantages:

  • Premium area customers maintain 30-40% higher value scores throughout the period
  • Order frequency advantage: ~2x higher (60+ orders vs 30+ orders lifetime)
  • The gap remained consistent, indicating structural advantage, not temporary boost

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Why It Compounds (Moderately):

  1. Convenience Creates Habit: Faster delivery → more frequent ordering\
  2. Geographic Lock-In: Customers in Premium zones develop dependency on speed

Limitation: Unlike subscriptions, Premium service doesn't create a renewal loop. The compounding is linear (more orders) rather than exponential (increasing likelihood of future orders).

REASON

Understand what’s really driving change

The AI reasoning infra explains the “why” behind every metric - uncovering hidden relationships, root causes, and the fastest paths to improvement.

Act

Turn insight into execution in minutes

Hilbert agentic growth team transforms findings into automated actions - triggering CRM workflows, reallocating spend, running retention plays, and testing growth scenarios instantly.

BEHAVIORAL SEGMENTATION CRM WORKFLOWS DISCOUNT AND UNIT ECONOMY OPTIMIZATIONS GROWTH LEVER DETECTION ROOT CAUSE ANALYSIS DIGITAL CHANNEL OPTIMIZATIONS PREDICTIVE USER JOURNEY
Hilbert Value 8.1 12% HILBERT VALUE ACQUISITION AOV POWER USERS ACTIVE USERS REVENUE ORDER COUNT CHURN RISK The raise in Hilbert Value mainly contributed 
from the increase in Power Users. Notable growth seen in power users.
Optimize

Make every decision smarter than the last

Hilbert learns from every outcome, refining strategies and budgets over time so your growth infra becomes sharper, faster, and more profitable.

Results

What Hilbert sees from day one

Opportunities

$792.7K

Improvement

$800.8K

Detections

$7.5M

Paid Channel Detections

$495.4K

Hypotheses to Validate
New
$771.5 Thousand
Very High
Improvement
The data suggests a potential improvement opportunity where 20,361 customers received promotional discounts on their only purchase during fiscal year 2025 but never returned for a second order, despite having at least 90 days to do so. These one-time buyers received an average discount of $37.89 per order, totaling $771,461.81 in promotional spend that appears not to have generated the intended repeat business. The discount amounts represented 21.05% of the revenue generated from these customers, indicating...
Validate with Hilbert
New
$412.6 Thousand
Very High
Opportunity
The data suggests a potential improvement opportunity where 20,361 customers received promotional discounts on their only purchase during fiscal year 2025 but never returned for a second order, despite having at least 90 days to do so. These one-time buyers received an average discount of $37.89 per order, totaling $771,461.81 in promotional spend that appears not to have generated the intended repeat business. The discount amounts represented 21.05% of the revenue generated from these customers, indicating...
Validate with Hilbert
New
$285 Thousand
Very High
Opportunity
The data suggests a potential improvement opportunity where 20,361 customers received promotional discounts on their only purchase during fiscal year 2025 but never returned for a second order, despite having at least 90 days to do so. These one-time buyers received an average discount of $37.89 per order, totaling $771,461.81 in promotional spend that appears not to have generated the intended repeat business. The discount amounts represented 21.05% of the revenue generated from these customers, indicating...
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Testimonials

Trusted by operators,
proven by outcomes

Read case study

"Hilbert has been a strong partner for Blank Street across our AI/ML initiatives. They hold a very high bar for data quality and took time to thoroughly clean and prepare our data before ingestion, which helped us uncover opportunities on our end. The team combines deep AI/ML expertise with real operator experience, making them both rigorous and highly practical to work with. We would happily recommend working with them."

Blank Street, Global Head of Digital
Read case study

“Over two decades, FreshDirect built one of the most valuable behavioral datasets in the industry. My goal was to turn that into a system that learns in real time and generates the insights to guide decisions and improve operations. Hilbert AI has played a pivotal role in making that possible. Instead of relying on static definitions of loyalty, churn, or lifetime value, we now work with live predictive intelligence that shows how our customers actually behave. That puts power in our hands to prioritize retention, identify  high-value customer behavior, and move quickly from insight to action.


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Hilbert is a pleasure to work with: instead of behaving like a vendor two steps removed from our analytics and strategy work, they understand our priorities and serve as an extension of our team. This increases trust in our systems, accelerates workflows, and strengthens the link between data and commercial outcomes.”

VP of Strategy & Analytics
Read case study

"We partnered with Hilbert to explore a low lift integration of personalization and product recommendations within our Erewhon digital ecosystem, with the goal of improving the customer discovery & shopping journey. Working with the team was a real pleasure. Despite the highly technical nature of the work, they kept everything clear, transparent, and easy to understand. Whether we were asking high level questions about product matching or diving into the details of how the propensity model worked, they consistently met us where we were and guided us forward with confidence. Hilberts brings a rare balance of deep data expertise and a tailored, customer first approach, and we would absolutely recommend working with them."

Senior Director, Strategy @ Erewhon
Comparison

A different growth system

Hilbert replaces fragmented tools with a single system that connects insight, decision-making, and execution across the organization.

Features
Hilbert
Static Tools
In-House AI, ML, Growth Build
Time to value
Day After Data Ingestion
Weeks, Months
Months, Years
Recommendation
Automated, Real-Time
Manual
Custom, Slow
Cost
Lean, Scalable
High
Very High
Execution
AI Agent-Driven
Human Effort
Team-Dependent
Scope
Full Growth Infrastructure
Fragmented
Partial
Hilbert
Time to value
Day After Data Ingestion
Recommendation
Automated, Real-Time
Cost
Lean, Scalable
Execution
AI Agent-Driven
Scope
Full Growth Engine
Static Tools
Time to value
Weeks, Months
Recommendation
Manual
Cost
High
Execution
Human Effort
Scope
Fragmented
In-House AI, ML, Growth Build
Time to value
Months, Years
Recommendation
Custom, Slow
Cost
Very High
Execution
Team-Dependent
Scope
Partial
A System That Works forYour Outcomes

Hilbert isn’t a BI tool.

Hilbert is a growth infra built for Acquisition, Retention, Monetization at once.

What is our next year revenue under current execution, what is the realistic upside under optimal execution, and which levers move us from the first to the second?
HILBERt
I am analyzing customer acquisition and retention dynamics to project customer base growth and lifetime value; subscription penetration and revenue contribution to quantify recurring revenue potential; customer value distribution and segmentation to identify AOV and purchase-frequency optimization opportunities; geographic performance to assess market penetration and expansion potential; and product category growth trends to surface high-potential drivers of revenue expansion.
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I am analyzing the churn risk versus customer value matrix to identify critical segments requiring different intervention strategies and calculate revenue at risk
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For The People Behind Growth

Compounding growth needs alignment

From strategic decisions to execution, Hilbert provides each part of the organization with a shared view of the truth.

Growth Marketing Teams

You shouldn’t need a data team to move fast. Hilbert shows what’s working, what’s not, and which levers actually drive LTV - not vanity metrics. We automate the analysis buried in spreadsheets and surface the next best actions. Fast clarity. Confident execution.

CEOs and Executives

See the full growth picture in real time. Hilbert shows which products and cohorts are compounding, where budget is wasted, and what’s actually driving the top line. Stop assembling decks and chasing answers. Make decisions with a single source of truth.

CFOs and Finance Teams

Every growth dollar should have a return. Hilbert connects acquisition cost to customer lifetime value, breaks down profitability by cohort and channel, and shows where capital creates real impact. No spreadsheet reconciliation. Just clear capital allocation intelligence.

Integration &Security

Built to unify and enrich your data, engineered to protect it

Quick onboarding, minimal dev time. A short data ingestion and your AI Growth Infra is live. All connections are fully encrypted and secured by design. Never reliant on personal data.

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