Delectable Ads — Agentic Retail Media Platform

Interactive Deep Dive

The Retail Media Network
That Thinks For Itself.

Tier 2-3 grocers own 60%+ of grocery market share but capture less than 20% of retail media revenue. Delectable Ads closes this gap with agentic automation that turns every shopper interaction into intelligent, measurable ad inventory — no ad ops team required.

$100B+ RMN Market by 2028

4.2x ROAS vs 1.1x Baseline

+847% More Ad Inventory

$0 Intermediary Fees

The $100B Opportunity — And Who's Missing Out

Retail media is the fastest-growing ad channel in a decade. But the revenue is concentrating at the top while the grocers who own the most shopper relationships are being left behind.

Market Trajectory

$46B

2023

→

$60B

2024

→

$100B+

2028

Third-fastest growing ad channel after streaming and connected TV · 149+ retail media networks competing

The Personalization Gap

TIER 1 Advanced AI

Amazon, Walmart

Proprietary ML, billions of data points, full personalization stack.

Grocery Share ~15%

RMN Revenue $50B+

Personalization Advanced

TIER 2 Moderate

Kroger/84.51, Instacart, Target

Some in-house data science, segment-level targeting, limited personalization.

Grocery Share ~25%

RMN Revenue $5-10B

Personalization Moderate

TIER 3 Gap

Giant Eagle, Albertsons, Meijer, Ahold…

Rich first-party data but no infrastructure to monetize it. Generic targeting. CPM compression.

Grocery Share 60%+

RMN Revenue <$2B

Personalization Basic / None

The Core Paradox

The grocers with the deepest shopper relationships (60%+ market share, loyalty programs, weekly visits) capture the least retail media revenue (<$2B) because they lack the personalization infrastructure to compete with Amazon's ad engine. CPG brands won't pay premium CPMs for demographic-level targeting when Amazon offers individual-level precision.

Three Stakeholders, Three Problems

RETAILERS (Supply)

• Rich first-party data sitting unused
• No personalization = low CPMs
• Ad ops requires headcount they don't have
• Losing revenue to Instacart & DoorDash
• 12 static ad slots = finite inventory

CPG BRANDS (Demand)

• Spending across 3-8 networks blindly
• 73% say attribution is their #1 challenge
• Shifting budget from networks that can't prove ROI
• Demographic targeting feels like guessing
• No cross-retailer measurement

SHOPPERS (Experience)

• 68% ignore in-store digital ads
• Generic banners feel irrelevant
• Want discovery, not interruption
• Trust recommendations from their grocer
• Will engage if content is useful

Supply Side: The Retailer's RMN

Delectable Ads gives Tier 2-3 grocers a fully agentic retail media network — no ad ops team, no SSP contracts, no six-month integration. The platform creates, manages, and optimizes ad inventory autonomously from the commerce intelligence already flowing through Delectable Commerce.

WITHOUT DELECTABLE

✗

12 Static Ad Slots

Homepage banner, search top, category hero, cart sidebar. That's it. Always sold out or empty.

✗

Manual Campaign Management

Each CPG campaign requires manual setup, scheduling, creative review, placement, reporting. 2-3 FTEs minimum.

✗

Demographic Targeting

"Women 25-44 who buy yogurt." Broad segments, low relevance, CPM compression.

✗

Third-Party Dependency

Instacart, Criteo, or CitrusAd take 30-50% of every ad dollar as intermediaries.

WITH DELECTABLE ADS

✓

Unlimited Conversational Inventory

Every AI recommendation, recipe suggestion, and chat response is a contextual ad placement. +847% more inventory.

✓

Agentic Campaign Automation

AI agents handle campaign ingestion, audience matching, creative adaptation, placement optimization, and reporting. Zero FTE requirement.

✓

Persona-Level Targeting

"Health-conscious mom in a 4-person household with high-protein diet preference and 0.87 Chobani affinity." 2.3 personas per card.

✓

Retailer-Owned, Zero Intermediaries

100% of the ad margin stays with the retailer. Direct CPG relationships. No rev-share to third parties.

Agentic Ad Operations Pipeline

Six autonomous agents replace the traditional ad ops team. Each agent handles a distinct phase of the retail media lifecycle.

01

Inventory Agent

Identifies and creates ad placements from every shopper touchpoint

▼

What It Does

• Scans every conversational interaction for contextual ad opportunities
• Tags recipe recommendations as shoppable content placements
• Creates dynamic inventory from AI shopping assistant responses
• Matches inventory to CPG campaign objectives in real-time

              // Inventory creation from conversation

              shopper_query: "healthy breakfast ideas"

              inventory_created: [

                recipe_placement: "overnight oats",

                product_rec: "Chobani yogurt",

                bundle_offer: "breakfast bundle"

              ]

              eligible_campaigns: 3 matched

02

Audience Agent

De-averages households into personas with propensity scoring

▼

What It Does

• Resolves loyalty cards into 2.3 distinct personas per household
• Scores each persona against CPG campaign objectives (0-1 affinity)
• Cross-references Food HyperGraph for dietary/taste alignment
• Integrates NIQ Activate segments as enrichment layer

              // Household de-averaging

              loyalty_card: "GE-482910"

              personas_resolved: 3

                persona_A: { health_conscious_mom,

                  organic: 0.82, protein: 0.91 }

                persona_B: { snack_oriented_teen,

                  convenience: 0.88, sweet: 0.76 }

                persona_C: { budget_dad,

                  value: 0.94, meat: 0.85 }

03

Creative Agent

Adapts CPG creative into contextual, persona-relevant formats

▼

What It Does

• Transforms CPG campaign briefs into contextual recommendations
• Generates persona-specific messaging variants
• Embeds products naturally into recipe content and conversations
• Enforces retailer brand guidelines and compliance rules

              // Persona-adapted creative

              campaign: "Chobani Summer"

              persona_A_msg: "Your high-protein

                breakfast pairs perfectly with Greek

                yogurt + the granola in your pantry"

              persona_B_msg: "Chobani Flip:

                cookie dough yogurt as an after-

                school snack? Other teens love it"

04

Bidding Agent

Real-time auction engine with propensity-weighted pricing

▼

What It Does

• Runs real-time auctions when multiple CPG campaigns compete for a placement
• Weights bids by persona affinity score (higher relevance = lower cost)
• Ensures shopper experience quality — no irrelevant spam
• Transparent pricing: CPGs see exactly what they pay for and why

              // Auction for "breakfast" context

              placement: "recipe_suggestion"

              bids: [

                { Chobani: $0.42, affinity: 0.87,

                  score: 0.365 }, ← winner

                { Dannon: $0.55, affinity: 0.41,

                  score: 0.226 },

                { Oikos: $0.38, affinity: 0.52,

                  score: 0.198 }

              ]

              // bid * affinity = quality-weighted score

05

Delivery Agent

Serves the winning ad naturally within the shopper experience

▼

The Delivery Agent integrates sponsored content seamlessly into the shopper's conversational flow. Unlike traditional display ads that interrupt, Delectable's agentic delivery makes sponsored products feel like helpful recommendations — because they are helpful recommendations, filtered through the shopper's actual preferences, dietary needs, and purchase history. The agent manages frequency capping, context-switching between organic and sponsored content, and disclosure compliance (FTC-compliant "Sponsored" labeling).

06

Measurement Agent

Closed-loop attribution from impression to purchase at persona level

▼

Every touchpoint in the agentic flow is instrumented. The Measurement Agent tracks the complete journey: impression → engagement → add-to-cart → purchase, attributing conversions to specific campaigns, creatives, contexts, and personas. This feeds directly into the CPG's performance dashboard and back into the Bidding Agent for continuous optimization. Unlike traditional MMM (monthly/quarterly, correlational), this is real-time, causal, and impression-level — filling the exact attribution gap Nielsen created when it divested MMM to Circana.

Revenue Impact for a Tier 3 Retailer

$2.4M

annual

CPG Ad Revenue

$680K

annual

Private Label Uplift

87%

higher

Margin vs. Traditional

0

FTEs

Ad Ops Headcount

Demand Side: The CPG Advertiser

For CPG brands, Delectable Ads replaces the black-box RMN experience with a transparent, persona-level advertising platform. From brief to measurement, every step is agentic, accountable, and optimized in real-time.

Agentic Campaign Lifecycle

A CPG brand manager submits a campaign brief. Delectable's agents handle everything from there.

1

Campaign Brief Ingestion

The brand manager submits a natural language brief. No complex campaign builder UI required.

            brief: "Promote Chobani Greek Yogurt to

              health-conscious shoppers with high-protein

              diets. Budget: $25K. Flight: June 1-30."

            // Agent parses into structured campaign:

            product: "Chobani Greek Yogurt" (GTIN matched)

            objective: "trial + repeat purchase"

            audience_signals: ["health_conscious", "high_protein"]

            budget: $25,000 | daily_cap: $833

            flight: "2026-06-01 → 2026-06-30"

▼

2

Intelligent Audience Building

The Audience Agent combines NIQ Activate segments with Delectable's persona-level intelligence.

NIQ Activate Input

142K households indexing high on yogurt + health & wellness

Delectable De-Averaging

89K target personas (from 142K cards) with 0.87 avg Chobani affinity

Enrichment Layer

Dietary: high-protein. Recipe affinity: overnight oats, smoothie bowls. Time: 6-9am

▼

3

Contextual Creative Generation

The Creative Agent generates persona-specific messaging variants that feel like helpful recommendations, not ads.

Health-Conscious Mom

"Based on your preference for high-protein breakfasts, Chobani Greek Yogurt pairs perfectly with the granola in your pantry. Add both for a complete breakfast bundle?"

Context: morning shopping, recipe browse

Snack-Oriented Teen

"Chobani Flip Cookie Dough — other teens in your area are adding this to their after-school snack orders. Want to try it?"

Context: afternoon browse, social trend

▼

4

In-Flight Performance & Optimization

Real-time dashboard with continuous optimization recommendations from the Measurement Agent.

234K

Impressions

4.2%

CTR (2x avg)

12.8%

Conversion

5.3x

ROAS

AI Optimization Insight

Performance is 47% above forecast. Morning 6-9am window converts at 2.3x the daily average. Recommend shifting 40% of remaining budget to AM slots and increasing daily cap by $200.

Campaign Types

CPG BRAND CAMPAIGNS

National brands promoting products through the retailer's owned channels. Direct relationship, no intermediary.

Avg ROAS5.3x

Avg CTR4.2%

ExampleCoca-Cola Summer

PRIVATE LABEL PROMOTION

Retailer's own brands promoted through intelligent substitution and value-positioning within AI recommendations.

Avg ROAS7.2x

Margin Lift+32%

ExampleStore Brand Organic

SOCIAL + VIDEO CAMPAIGNS

Shoppable recipe videos and social content with embedded product placements. Powered by Delectable Social.

Avg Engagement18.3%

Shop Clicks43K

ExampleViral Feta Pasta

The Commerce Flywheel: Where Intelligence Compounds

This is the structural advantage no standalone RMN platform can replicate. Delectable Ads doesn't bolt onto a retailer's existing stack — it emerges from the same intelligence layer that powers Delectable Commerce and Social. Every shopping interaction makes the ads smarter. Every ad interaction makes the shopping better.

HyperGraph

Intelligence

Commerce

Shopping data

Ads

Targeting precision

Social

Discovery engine

Measurement

Attribution loop

↻

1

Commerce → Ads

Every cart, search, and conversation reveals shopper intent. The Food HyperGraph maps these signals into 150+ dimensions per product and 2.3 personas per household — creating targeting precision no standalone RMN can match.

2

Ads → Social

High-performing sponsored products become featured content in the Social feed. Recipe videos featuring top-converting products get promoted. CPG creative briefs generate shoppable social content automatically.

3

Social → Commerce

Discovery in the Social feed drives add-to-cart. Recipe engagement reveals new dietary preferences. Viral content signals emerging food trends that improve recommendation quality for all shoppers.

4

Measurement → Everything

Closed-loop attribution feeds back into every system. The Bidding Agent gets smarter. The Audience Agent refines personas. The Creative Agent learns which messaging converts. The cycle accelerates.

Why Standalone RMNs Can't Compete

Capability	Standalone RMN (Criteo, CitrusAd)	Retailer SSP (In-house)	Delectable Ads
Ad Inventory	Static slots	Static slots	Unlimited contextual
Targeting	Category segments	Loyalty segments	Persona + food graph
Creative	Uploaded banners	Uploaded banners	AI-generated contextual
Attribution	Click-through	Last-touch	Impression-level causal
Intermediary Fee	30-50%	0% (but build cost)	0%
Shopper Data	Shared with platform	Retained	Retained + enriched
Ad Ops Needed	2-3 FTEs	5-8 FTEs	0 FTEs (agentic)
Commerce Integration	None	None	Native flywheel

The Compounding Advantage

Every standalone RMN starts from zero with each retailer. Delectable's flywheel means a retailer deploying Commerce already has the targeting intelligence for Ads. Deploying Social already has the content pipeline for ad creative. Each module makes the others stronger — and makes switching costs for the retailer increasingly high. This is the moat.

Attribution & ROI: Closing the Loop

When Nielsen divested its MMM business to Circana in 2024, it created an attribution gap. Delectable fills this gap at a resolution Marketing Mix Modeling never achieved — impression-level, real-time, and causal rather than correlational.

Traditional MMM vs. Delectable Attribution

Dimension	Traditional MMM	Delectable Attribution
Granularity	Aggregate (brand/category)	Individual (persona-level)
Cadence	Monthly / Quarterly	Real-time
Methodology	Correlational (regression)	Causal (controlled A/B)
Attribution	Channel-level	Impression-level
Actionability	Strategic planning	In-flight optimization
Cost	$200K-$500K per study	Platform fee (continuous)

The Closed-Loop Attribution Cycle

1

Personalize

Agentic system serves persona-matched recommendation based on time, browse history, dietary needs, household profile.

2

Engage

Shopper interacts: views details, asks questions, explores recipe, adds to cart. Every touchpoint captured and attributed.

3

Measure

Conversion attributed to specific campaign, creative variant, delivery context, and persona. Real-time reporting to CPG dashboard.

4

Optimize

Attribution feeds back into targeting, bidding, and creative models. Next impression is better than the last. ROAS improves continuously.

ROI Evidence: Giant Eagle Pilot

4.2x

ROAS

vs. 1.1x category average

3x

lift

Engagement vs. display

14x

efficiency

Cost advantage vs. MMM

2.3

personas

Per loyalty card resolved

The NIQ Strategic Opportunity

NIQ Activate provides the macro audience layer: 250K+ Homescan households, syndicated POS data, and cross-retailer segment matching. Delectable provides the micro execution layer: persona-level de-averaging, food intelligence enrichment, agentic delivery, and impression-level attribution. Together, they create the only end-to-end retail media solution that works from audience definition through to closed-loop measurement — something neither Amazon's walled garden nor Criteo's network approach can offer across Tier 2-3 grocers.

The Retail Media Network That Thinks For Itself.

The $100B Opportunity — And Who's Missing Out

Market Trajectory

The Personalization Gap

Amazon, Walmart

Kroger/84.51, Instacart, Target

Giant Eagle, Albertsons, Meijer, Ahold…

Three Stakeholders, Three Problems

Supply Side: The Retailer's RMN

Agentic Ad Operations Pipeline

Revenue Impact for a Tier 3 Retailer

Demand Side: The CPG Advertiser

Agentic Campaign Lifecycle

Campaign Types

The Commerce Flywheel: Where Intelligence Compounds

Why Standalone RMNs Can't Compete

Attribution & ROI: Closing the Loop

Traditional MMM vs. Delectable Attribution

The Closed-Loop Attribution Cycle

ROI Evidence: Giant Eagle Pilot

The Retail Media Network
That Thinks For Itself.