We create sales attribution for $160B unmeasured marketing spend.

📉 The Problem

Brands spend $160B annually on organic marketing—influencer campaigns, pop-ups, branded content—with no reliable way to measure sales impact. Traditional tracking (cookies, UTM links) breaks across platforms, privacy laws block device IDs, and marketing mix models only work on data that already exists. The entire category is a measurement black hole.

💡 Our Solution

Landng creates attribution data that doesn't exist today. When someone clicks an Instagram link, scans a QR code at a pop-up, or taps a creator post, we assign an anonymous first-party ID and later match it to online or in-store purchases. We sit in the grey space between brand touchpoints and checkout—generating the "organic inspiration to purchase" dataset that ad platforms, analytics tools, and causal AI models like Alembic can't see.

About Us

🌐 landng.com

🎥 Request a demo at [email protected]

👥 Founders

Name: Devon DeAngelo

Title: CEO, Co-Founder

Connect With Me: LinkedIn

Bio:

• 12+ Years in Global Marketing & Comms across beauty, luxury, travel, hospitality, tech, retail & music
• Global Brand Groups & Agencies: BBDO, Omnicom, Coty, P&G, PayPal, Mars, RX Global
• US, European & Asia-Pacific markets

Name: Nacera Belal

Title: COO, Co-Founder

Connect With Me: LinkedIn

Bio:

• 12+ years Program Management & Product Experience in Marketing & Creative Technology
• Global Brands: Estée Lauder Companies, L’Oréal, Kiehl’s, John Hardy, and PVH
• Deep background across in-house and vendor-side roles

Name: Kevin Coyle

Title: CTO, Co-Founder

Connect With Me: Caltech Teacher Profile

Bio:

• 20+ Years in AI, ML & Data Science Innovation
• Leadership roles at Capgemini driving enterprise marketing technology strategy
• Caltech Teacher specializing in Artificial Intelligence & Machine Learning

Name: Jon Broek

Title: Security & Infra

Connect With Me: LinkedIn

Name: Allan Muzeya

Title: Dev Opps

Connect With Me: LinkedIn

👁 The Vision

If we win, Landng becomes the system of record for how organic marketing drives revenue—the default place a CMO goes to see which influencer trips, pop-ups, and brand experiences actually converted to sales. Every campaign that runs through us feeds a proprietary dataset of tens of millions of "inspiration to purchase" journeys that no ad platform or causal AI tool can replicate. We're building the attribution layer for the $160B in marketing that's currently invisible.

🫂 Market & Customers

Market (today → future)

Global brands spend $160B+ annually on organic marketing—$128B on experiential (events, pop-ups, activations) and $33B on influencer campaigns—with zero reliable attribution. These categories are growing at 7.5% and 31% CAGR respectively, expanding toward $300B by 2030. Enterprise brands currently pay $150K-$1M+ annually for marketing measurement solutions (MMM, causal AI), but those tools only work on existing data—they can't see the organic campaigns we instrument. At $75K-$600K per brand/region annually across our three tiers, capturing 100-150 enterprise brand groups at $3-5M average ARR represents a $400-500M opportunity, with an additional $200-300M in mid-market brands, positioning Landng to build toward a $600-700M+ revenue business at scale.