01
Discovery
The right product exists, but search, filters, attributes, or merchandising fail to surface it.
Investor thesis · August 2026
Metto investor thesis
TURNING MISSED SHOPPER INTENT INTO REVENUE.
Metto reveals what shoppers wanted but could not find, understand, or confidently buy — then turns those signals into measurable revenue opportunities.
Online concierge · product context
Customer asks
“Will this keep me dry on a bike commute?”
Metto responds with trusted context
Yes. It’s fully seam-sealed, the hood fits over a helmet, and it packs into its own chest pocket for the ride home.
Grounded in the product record.
One intelligence layer can power guidance across the commerce journey.
One intelligence layer can power guidance across the commerce journey.
Framing the retailer problem, product architecture, and long-term moat.
01 / 1001 · The retailer blind spot
Retailers know what converted. Not all the demand they failed to serve.
Commerce analytics describe searches, clicks, purchases, and abandonment. They rarely explain what the shopper meant, why the experience failed, or which action would recover the sale.
What analytics capture
VisibleClicks · carts · salesObserved
What disappears before conversion
Unexpressed needs
Unanswered questions
Products shoppers could not find
Intent before transaction
02 / 10
02 · Where missed revenue hides
Four failures. One invisible opportunity.
02
Decision confidence
The shopper finds a product but cannot resolve fit, use, compatibility, styling, or suitability.
03
Basket building
Complementary products exist, but the retailer does not connect them into a complete solution.
04
Assortment
Repeated shopper needs reveal a genuine product, size, style, color, or price-point gap.
03 / 10
03 · How Metto recovers the opportunity
From natural language to commercial action.
Metto
Intent → revenue
01
Observe
Questions, preferences, hesitation
02
Diagnose
Catalog, search, content, assortment
03
Act
Improve, answer, bundle, merchandise
04
Measure
Discovery, conversion, basket, revenue
05
Learn
Improve intent understanding
Metto does not stop at identifying friction. It determines the likely cause, recommends the next action, and learns from the outcome.
04 / 10
04 · One system, two products
Metto Concierge
Converts demand now.
Helps shoppers find, evaluate, combine, and confidently choose products using natural language grounded in the catalog.
Metto Intelligence
Serves demand better next time.
Aggregates signals, diagnoses recurring failures, prioritizes opportunities, and guides merchant action.
Concierge creates high-quality intent and friction data. Intelligence turns that data into better merchant action — which improves Concierge.
05 / 1005 · What creates the moat
The chat interface is not the moat.
Conversational UI and access to foundation models will be commoditized. Metto’s defensibility is the proprietary connection across the full commercial chain.
What shoppers express
What the catalog contains
Why the experience fails
What action works
How much revenue it generates
Traditional search maps queries to products. Metto maps human needs to products, friction, interventions, and revenue.
06 / 1006 · Five layers of defensibility
01
Intent-to-Revenue Graph
Maps human needs to products, friction, interventions, and revenue.
02
Proprietary learning loop
Synthetic demand → live behavior → merchant action → conversion outcome.
03
Category-specific reasoning
Understands compatibility, occasion, fit, routines, and product relationships.
04
Workflow integration
Moves from reporting into merchandising, ecommerce, content, and planning.
05
Cross-retailer intelligence
Can develop privacy-safe category benchmarks as the network grows.
07 / 10
07 · The wedge and the destination
Near-term wedge
Synthetic search and catalog audits.
Demonstrate missed-revenue opportunities before a deep integration or significant retailer commitment.
Long-term destination
An always-on intelligence and action layer.
Between shopper intent, the retailer’s catalog, merchant workflows, and commercial outcomes.
The wedge makes invisible demand visible. The destination becomes the operating system for acting on it.
08 / 1008 · What must be proven
The architecture is clear. The evidence plan is next.
01
GTM anchor
Lead with Intelligence and use Concierge as activation, or sell the two together?
02
First revenue wedge
Which problem creates the fastest proof: discovery, PDP questions, basket building, or assortment?
03
Proof standard
What evidence establishes incremental revenue rather than another analytics report?
The investor question: can Metto prove it finds opportunities standard analytics cannot — and attribute the revenue recovered?
09 / 10Metto · The thesis
See the demand your analytics miss.
Metto can become the system that explains why shopper demand went unserved, tells the retailer what to do about it, and learns which actions recover revenue.
Metto Concierge converts demand now.
Metto Intelligence serves it better next time.