Advertising Players
Who operates at each layer of the advertising value chain.
Ecosystem Map
| Layer | Incumbent | Challenger | Trend |
|---|---|---|---|
| Data collection | Google, Meta (surveillance) | DePIN sensors, CDPs | Privacy forcing first-party shift |
| Audience intelligence | Google, Oracle DMP | AI-native CDPs, DePIN data | DMP declining, CDP rising |
| Media buying | Google DV360, Meta Ads | The Trade Desk, programmatic | Automation increasing |
| Creative | Agencies, in-house | AI generation, DCO | AI disrupting production |
| Measurement | Google Analytics, Meta | Independent attribution, MMM | Independence growing |
The Duopoly
Meta (Facebook, Instagram, WhatsApp)
| Metric | Value |
|---|---|
| Ad revenue | $160B+ annually |
| DAU | 3.2B+ across family of apps |
| Moat | Social graph + behavioral data |
| AI advantage | Advantage+ automated campaigns |
| Threat | Privacy regulation, TikTok competition |
Strategic shift: Meta is moving aggressively into AI agents for advertising and commerce. Agents that buy, sell, and negotiate on behalf of users and businesses.
Google (Search, YouTube, Display)
| Metric | Value |
|---|---|
| Ad revenue | $300B+ annually |
| Search share | 90%+ globally |
| Moat | Search intent data + YouTube attention |
| AI advantage | Performance Max, AI-generated creatives |
| Threat | AI search (ChatGPT, Perplexity), antitrust |
Independent Platforms
The Trade Desk
| Metric | Value |
|---|---|
| Revenue | $2.4B+ |
| Focus | Independent DSP, CTV leader |
| Moat | Unified ID 2.0, premium inventory access |
| Significance | Largest independent alternative to duopoly |
Amazon Advertising
| Metric | Value |
|---|---|
| Revenue | $56B+ |
| Focus | Retail media, commerce intent |
| Moat | Purchase data — closest to transaction |
| Significance | Third force challenging duopoly |
DePIN Data Providers
The emerging layer that feeds verified data into advertising:
375.ai
| Metric | Value |
|---|---|
| Focus | Web3 advertising data |
| Function | On-chain audience intelligence |
| Link | 375.ai |
spindl
| Metric | Value |
|---|---|
| Focus | Web3 attribution |
| Function | Cross-chain ad measurement |
| Link | spindl.xyz |
DePIN Sensor Networks
Not advertising companies — but data providers that change advertising precision:
| Provider | Data | Advertising Use |
|---|---|---|
| GEODNET | Centimeter positioning | Hyperlocal geotargeting |
| WeatherXM | Hyperlocal weather | Context-triggered creative |
| Hivemapper | Real-time street mapping | Location intelligence |
| Helium | Connectivity coverage | Device/location signals |
Tool Providers by JTBD
The AdTech stack organized by job to be done. See Platform for architecture and the AI consolidation thesis.
Competitor Intelligence
Uncover rivals' strategies, trending creatives, and products to reduce testing risks.
| Tool | Platforms | Entry Price | Key Strength |
|---|---|---|---|
| AdSpy | FB/IG | $149/mo | Largest database, advanced filters |
| BigSpy | 10+ incl. TikTok, YouTube | Free/$9/mo | E-commerce trend tracking |
| SpyFu | Google/Bing | $39/mo | PPC keyword and ad history |
| Minea/Pipiads | Dropshipping channels | $49/mo | Product finder + AI scoring |
2026 trend: cross-platform (Meta + TikTok + Google) with AI sentiment analysis. Free alternatives like Meta Ad Library suffice for basics.
Keyword and Audience Research
Identify search terms, audiences, and intent for high-ROI targeting.
| Tool | Focus | Entry Price | Key Strength |
|---|---|---|---|
| SEMrush | Keywords + competitors | $129/mo | Gap analysis, comprehensive |
| Ahrefs | Volume + difficulty | $99/mo | SERP insights, accuracy |
| Similarweb | Traffic + audience intel | $125/mo | Digital market mapping |
| BuzzSumo | Content trends | $99/mo | Social/viral angles |
Creative Analysis and Generation
Analyze trends/fatigue, detect winning patterns, generate variants. AI boosts efficiency 20-25%.
| Tool | Focus | Entry Price | Key Strength |
|---|---|---|---|
| Motion | Paid social trends/hooks | $99/mo | Visual reports, $6B+ media spend managed |
| Smartly | Creative personalization | % of ad spend | Cross-channel, enterprise scale |
| HeyGen | Video ad generation | $29/mo | AI avatars and scripts |
| AdCreative.ai | AI-generated ads | Varies | Automated variant creation |
| Canva/Midjourney | Design/gen-AI | Free/$10/mo | Quick creative variants |
Motion scans ad libraries and performance data to sort creatives by effectiveness — highlighting top hooks, messaging patterns, fatigue signals. $6B+ in annual media spend for brands like HexClad and Vuori.
Smartly automates creative production, personalization, and optimization across Meta, TikTok, Pinterest, Google, Snap. Enterprise-oriented — manages billions in ad spend annually.
Campaign Management and Optimization
Launch, automate, and optimize campaigns. AI drives 15-20% CTR lifts via auto-adjustments.
| Tool | Channels | Entry Price | Key Strength |
|---|---|---|---|
| Google/Meta Ads | Native platforms | Free (% spend) | Core for search/social |
| AdEspresso | Meta-focused | $49/mo | A/B testing |
| Optmyzr | PPC automation | $249/mo | Bid/rules engine |
| Perplexity Computer | Multi-agent | $200/mo | 19 AI models, 224 micro-optimizations |
Data Integration and ETL
Centralize and cross-blend data from platforms for unified reporting.
| Tool | Connectors | Entry Price | Key Strength |
|---|---|---|---|
| Supermetrics | 170+ | $99/mo | No-code, AI anomaly detection |
| Funnel.io | Marketing ETL | $299/mo | Blending emphasis |
| Improvado | Enterprise | Custom | Governance features |
| Zapier | General automation | Free/$20/mo | Quick integrations |
Supermetrics pulls granular data without API limits, blends across platforms. Fixed subscriptions vs usage-based rivals. By 2026, repositioned as "marketing intelligence platform" with AI agents for instant analysis.
Analytics, BI and Reporting
Visualize performance, attribute ROI, derive insights. Trend: real-time MMM.
| Tool | Focus | Entry Price | Key Strength |
|---|---|---|---|
| Looker | Governed BI | $1K+/mo | Semantic modeling (LookML) |
| Tableau | Visualization | $70/user/mo | Interactive dashboards |
| Google Analytics 4 | Tracking/attribution | Free | Core web analytics |
| Mixpanel | Event-based behavior | $25/mo | User journey analysis |
Looker (Google Cloud) enables teams to explore, model, visualize governed data insights. Not the free Looker Studio — the full enterprise BI platform with flexible semantic layer.
Attribution and Measurement
Track cross-channel impact, prove ROI, allocate budgets. Multi-touch models rising in cookieless world.
| Tool | Focus | Entry Price | Key Strength |
|---|---|---|---|
| Google Analytics/Ads | Multi-touch | Free | Built-in, last-click default |
| AppsFlyer | Mobile/app | Custom | Fraud detection |
| Northbeam | E-commerce | $1K+/mo | Incrementality testing |
| Triple Whale | DTC analytics | $100/mo | Blended metrics |
| Rockerbox | Multi-touch attribution | Custom | Independent |
| Measured | Incrementality testing | Custom | Causal proof |
| DoubleVerify | Ad verification | Custom | Industry standard |
| IAS | Brand safety + fraud | Custom | Industry standard |
Agency Landscape
| Agency Type | Traditional Role | AI-Era Role |
|---|---|---|
| Creative | Campaign development | AI-augmented creative, DCO management |
| Media | Planning and buying | Automation strategy, AI optimization |
| Data | Analytics and insights | First-party data architecture, CDP management |
| Performance | Paid media execution | AI-native campaign management |
The trend: Agencies that add AI capability survive. Those that remain manual operations face margin compression.
Competitive Dynamics
Where Value Shifts
| Layer | Old Winner | New Winner | Why |
|---|---|---|---|
| Data | Google/Meta (surveillance) | First-party owners + DePIN | Privacy kills third-party |
| Intelligence | DMPs | CDPs + AI | First-party > third-party |
| Buying | Manual media planners | AI-automated platforms | Speed and optimization |
| Creative | Agency production | AI generation + testing | Volume and iteration speed |
| Measurement | Platform-reported | Independent + on-chain | Trust and verification |
The DePIN Opportunity
DePIN doesn't replace Meta and Google at media buying. It disrupts the data layer that feeds them.
Old: Surveillance data → Platform targeting → Platform measurement
New: DePIN verified data → Platform targeting → Independent measurement
The thesis: The value in advertising is increasingly in the data, not the pipes. Own the data layer, and the media buying layer becomes commodity.
The Buyer's Problem
Two buyer profiles. Two different failures. One root cause: the ecosystem optimises for intermediaries, not outcomes. Apply the JTBD lens — what progress is each buyer trying to make?
| JTBD | SME | Enterprise |
|---|---|---|
| The job | Get more customers without becoming a marketing expert | Prove marketing spend drives revenue |
| Current solution | Word of mouth, referrals, half-abandoned Google Ads | Stack of agencies, platforms, measurement vendors |
| Trigger | Growth plateaus — network maxed out | CFO asks "what did we get for that $5M?" |
| Hidden objection | "I'll waste money and won't know if it worked" | "If we measure properly, half of it doesn't work" |
| Progress | Predictable pipeline from paid channels | Attribution they can trust |
The SME's job is not "run ads." The enterprise's job is not "buy media." Miss the job, build the wrong solution.
SME Reality
The business owner with no dedicated marketing team. $2K-$20K monthly budget. The largest buyer segment and the most underserved.
| Problem | Why It Hurts | What They Do Instead |
|---|---|---|
| Complexity gap | DSPs, SSPs, CDPs, RTB — built for teams of specialists | Use self-serve platforms they don't understand |
| Agency misalignment | Agencies charge % of spend — incentive is more spend, not better spend | Skip agencies, lose on optimisation |
| Platform black box | Meta and Google grade their own homework | Trust unverifiable metrics |
| Creative at scale | A/B testing needs volume; production costs prohibitive | Run one ad until it stops working |
| Cash flow timing | Pay upfront, revenue comes weeks later | Underspend during growth windows |
| Attribution impossibility | Multi-touch requires infrastructure they don't have | Default to last-click or gut feel |
The root: paying for complexity they can't use, measured by metrics they can't verify.
Enterprise Reality
Dedicated teams, large budgets. They can afford the complexity but can't verify the results.
| Problem | Scale | Cost |
|---|---|---|
| Fee opacity | 40-60% of spend absorbed before reaching publisher | Billions lost to intermediary stack |
| Reconciliation | Weeks of spreadsheet wars between agencies, platforms, vendors | Finance teams can't close books |
| Ad fraud | Sophisticated bots evade detection | Estimated $100B+ annually industry-wide |
| Data silos | Each platform is a walled garden | No unified view of customer journey |
| Agency coordination | Creative, media, data agencies don't share | Duplication, gaps, finger-pointing |
The root: nobody in the value chain has an incentive to tell the truth.
The Connection Gap
Jobs to be done is what glues provider to consumer. When the intermediary solves its own margin problem instead of the buyer's job, the connection breaks.
Advertiser → Agency → DSP → Exchange → SSP → Publisher
$1.00 $0.85 $0.70 $0.55 $0.45 $0.36
Every intermediary optimises for their own margin. None of them are hired to do the buyer's job. The agent-native alternative aligns to the job:
Advertiser → Agent → Verified Exchange (Sui) → Publisher
$1.00 $0.95 $0.90 $0.85
Awareness Levels
Where are advertising buyers on the awareness spectrum?
| Level | SME | Enterprise |
|---|---|---|
| Unaware | Don't know growth stalled because of bad targeting | Don't know 60% of spend is absorbed by intermediaries |
| Problem Aware | Know ads aren't working, don't know why | Know attribution is broken, can't fix it |
| Solution Aware | Heard of AI ads tools, haven't tried | Know independent measurement exists, agencies resist |
| Product Aware | Know agent-native options exist, not convinced | Know on-chain verification is possible, unproven at scale |
| Most Aware | Ready to switch, need frictionless onboarding | Ready to pilot, need enterprise-grade compliance |
This is BOaaS applied to advertising: AI agents on crypto rails providing expertise previously locked behind agency minimums.
Context
- Advertising Overview — The transformation thesis and buyer problem
- Platform — Tech stack architecture, ecosystem diagram, AI consolidation
- Protocols — Programmatic supply chain and data flows
- JTBD Framework — The lens for organizing tools by buyer progress
- AI Data Players — Data infrastructure ecosystem
- Telecom Players — Parallel ecosystem
- Marketing — Business growth strategy
Links
- AdSpy — Competitive ad intelligence database
- Motion — Creative analytics for paid social
- Smartly — AI advertising platform
- Supermetrics — Marketing data integration
- The Trade Desk — Independent DSP
- Perplexity Computer — AI super-agent for marketing
Questions
When a general-purpose AI agent can do the job of 5 specialist tools, what determines which specialists survive?
- Which JTBD category is most vulnerable to AI consolidation — and which requires domain infrastructure that agents can't replicate?
- If Perplexity Computer replaces $225K/yr in tools for $2.4K/yr, where did the other $222K of value go — was it margin, or was it capability?
- Does the duopoly (Google + Meta) benefit from or get threatened by AI agents that optimize across both platforms simultaneously?
- Which DePIN data providers create a moat — verified physical data — that no software agent can substitute?