Forward to: Advertiser Insights

Advertiser Intelligence
Workflows

Ten agent workflows for the ad-tech platform's advertiser intelligence operations — spend prediction modeling, competitive budget analysis, campaign attribution enrichment, advertiser churn prevention, vertical expansion detection, landing page quality scoring, advertiser maturity assessment, budget cycle prediction, cross-channel spend mapping, and advertiser lifetime value forecasting across 100M+ domains.

1Advertiser Spend Prediction Pipeline

AI agent predicts advertiser spend changes by monitoring /careers, /products, /investors, and /press pages — detecting signals of growth (marketing hiring, product launches) or contraction (layoffs, restructuring) 2-4 quarters before they impact the platform revenue.

1
Extract Advertiser Growth Signals
/careers /products /investors OpenPageRank IAB Categories
ADVERTISER SPEND PREDICTION — GROWTH SIGNALS ══════════════════════════════════════════════════ ADVERTISER UNIVERSE: 47,234 active advertisers on the platform platform GROWTH SIGNALS: 2,345 advertisers showing expansion indicators TOP SPEND INCREASE PREDICTIONS: shein.com /careers: +89% marketing roles | /products: +340K SKUs | Score: 97 Predicted spend change: +$4.5M/quarter on the platform on-running.com /careers: +67% digital roles | /investors: Growth guidance | Score: 94 Predicted spend change: +$2.8M/quarter on the platform glossier.com /careers: +45% performance mktg | /products: +23 new SKUs | Score: 91 Predicted spend change: +$1.2M/quarter on the platform allbirds.com /careers: +34% digital roles | /press: Retail expansion | Score: 88 Predicted spend change: +$890K/quarter on the platform TOP SPEND DECREASE PREDICTIONS: casper.com /careers: -45% marketing | /investors: Cost cuts | Score: 23 Predicted spend change: -$1.8M/quarter peloton.com /careers: -56% all depts | /press: Restructuring | Score: 18 Predicted spend change: -$3.2M/quarter
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Validate Predictions with Multi-Signal Analysis
Agent cross-references /careers hiring data with /products catalog changes, /investors financial guidance, and /press announcements to create a multi-dimensional spend prediction with confidence scoring. Single-signal predictions are flagged for manual review.
Company Signal
shein.com — Multi-signal spend increase confirmed: /careers +89% marketing roles (strongest signal), /products +340K new SKUs (catalog investment), /investors: Private funding round rumored (domain intelligence shows new /investors page created), /press: US market expansion press releases. All 4 signals aligned positive. Prediction confidence: 94%.
HIGH CONFIDENCE — 4/4 signals aligned for +$4.5M spend increase
Company Signal
peloton.com — Multi-signal spend decrease confirmed: /careers -56% across all departments, /investors: Restructuring disclosure, /products: No new products in 6 months, /leadership: CMO departure detected. All 4 signals aligned negative. Churn risk: 78%. Revenue at risk: $3.2M/quarter.
HIGH CHURN RISK — 4/4 signals aligned for spend decrease
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Output: Spend Prediction Dashboard

ADVERTISER SPEND PREDICTION — Q2 2026

SPEND FORECAST SUMMARY: ══════════════════════════════════════════════ Advertisers predicting increase: 2,345 (+$34.5M aggregate) Advertisers predicting stable: 41,234 (stable base) Advertisers predicting decrease: 3,655 (-$12.3M aggregate) Net predicted change: +$22.2M/quarter Model accuracy (historical): 86% within 15% of actual Signals used: /careers, /products, /investors, /press, /leadership Enrichment: PageRank, IAB Categories, Personas, Domain Ages

2Competitive Budget Intelligence

AI agent estimates competitor ad spend by analyzing advertiser /careers, /partners, and /press pages — detecting when advertisers are increasing investment with Google, Meta, Amazon, or The Trade Desk, enabling the ad-tech platform's sales team to win back competitive budget share.

1
Detect Competitive Platform Signals
/partners /careers /blog IAB Categories
COMPETITIVE BUDGET INTELLIGENCE — PLATFORM SIGNALS ══════════════════════════════════════════════════════ ADVERTISERS SHIFTING BUDGET TO COMPETITORS: warbyparker.com /careers: "Google Ads Specialist" posted (was the platform-focused) /partners: Added Google Marketing Platform | /blog: "Our Google strategy" Signal: Budget shift to Google detected — est. -$450K/quarter casper.com /careers: "Meta Performance Manager" posted /partners: Added Meta Business Suite integration Signal: Budget shift to Meta — est. -$320K/quarter ADVERTISERS SHIFTING BUDGET FROM COMPETITORS TO PLATFORM: brooklinen.com /careers: "Commerce media specialist" (the platform-aligned role) /blog: "Why we moved beyond social media advertising" Signal: Budget shift from Meta to commerce media — opportunity $280K ruggable.com /partners: Removed Meta Shops, added retail media integrations Signal: Retail media pivot — opportunity $190K
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Output: Competitive Intelligence Actions

COMPETITIVE BUDGET — ACTION REPORT

COMPETITIVE BUDGET MOVEMENT SUMMARY: ══════════════════════════════════════════════ At-risk accounts (shifting to competitors): 234 advertisers Revenue at risk: $8.9M/quarter Win-back opportunities (shifting from competitors): 189 advertisers Revenue opportunity: $6.7M/quarter PRIORITY ACTIONS: 1. Retain warbyparker.com — Offer commerce media ROI comparison 2. Win brooklinen.com — Social-to-commerce media migration package 3. Expand ruggable.com — Retail media partnership proposal

3Advertiser Churn Prevention System

AI agent detects early churn signals by monitoring advertiser domain health — /careers layoffs, /leadership departures, /investors restructuring, and /products stagnation — triggering proactive retention actions before advertisers reduce or cancel the platform campaigns.

1
Monitor Churn Risk Signals Across Advertisers
/careers /leadership /investors /products OpenPageRank
CHURN PREVENTION — EARLY WARNING SYSTEM ══════════════════════════════════════════════ ADVERTISERS MONITORED: 47,234 active accounts HIGH CHURN RISK: 567 advertisers (12 risk factors detected) MEDIUM CHURN RISK: 2,345 advertisers (3-5 risk factors) HIGHEST CHURN RISK ACCOUNTS: peloton.com Risk: 94% | /careers: -56% | /leadership: CMO left | /investors: Restructuring the platform revenue: $3.2M/yr | Action: URGENT retention intervention casper.com Risk: 87% | /careers: -45% mktg | /products: Stale 6mo | /press: Quiet the platform revenue: $1.8M/yr | Action: Schedule executive review blue-apron.com Risk: 91% | /careers: -67% | /investors: Going private | /about: Reduced scope the platform revenue: $890K/yr | Action: Prepare wind-down plan CHURN RISK FACTORS (in order of predictive power): 1. /careers marketing layoffs (0.28 weight) 2. /leadership CMO/CDO departure (0.22 weight) 3. /investors restructuring language (0.18 weight) 4. /products page stagnation >90 days (0.15 weight) 5. PageRank decline >1 point (0.10 weight) 6. /press silence >60 days (0.07 weight)
2
Trigger Proactive Retention Actions
Churn Signal
peloton.com — Highest churn risk (94%). /careers: 56% reduction across all departments. /leadership: CMO departed January 2026 (detected via /leadership page change). /investors: "Strategic alternatives" language appeared. /products: No new products in 6 months. Immediate retention outreach required — $3.2M annual revenue at risk.
CRITICAL — $3.2M/yr at risk, schedule exec meeting immediately
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Output: Churn Prevention Impact

CHURN PREVENTION — QUARTERLY REPORT

CHURN PREVENTION RESULTS: ══════════════════════════════════════════════ High-risk accounts identified: 567 Retention interventions triggered: 234 Accounts saved: 156 (67% save rate) Revenue preserved: $23.4M/year Early warning lead time: avg 2.3 quarters before churn Model accuracy: 89% (true positive rate)

4Landing Page Quality Assessment

AI agent scores advertiser landing page quality by analyzing /products, /pricing, and /security pages — ensuring the platform drives traffic to high-converting, trustworthy destinations that maintain advertiser ROAS and the ad-tech platform's platform reputation.

1
Score Advertiser Landing Page Quality
/products /security /legal OpenPageRank Web Filtering Categories
LANDING PAGE QUALITY ASSESSMENT ══════════════════════════════════════════════ HIGH-QUALITY LANDING PAGES: nike.com/products PageRank: 8.7 | /security: HTTPS + Trust seals | LP Score: 96 samsung.com/galaxy PageRank: 8.9 | /security: Complete | LP Score: 94 sephora.com/shop PageRank: 7.8 | /security: Complete | LP Score: 92 LOW-QUALITY LANDING PAGES (conversion risk): cheapdeals.biz/offer PageRank: 0.4 | /security: No HTTPS | LP Score: 12 flashsale.xyz/buy PageRank: 0.2 | /legal: Missing | LP Score: 8 LP QUALITY IMPACT ON PERFORMANCE: LP Score >80: Avg CVR 4.2% | ROAS 8.1x LP Score 40-80: Avg CVR 2.1% | ROAS 3.8x LP Score <40: Avg CVR 0.4% | ROAS 0.9x
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Output: Landing Page Optimization Report

LANDING PAGE QUALITY — OPTIMIZATION REPORT

LANDING PAGE QUALITY DISTRIBUTION: ══════════════════════════════════════════════ High quality (>80): 34,567 advertiser domains (73%) Medium quality (40-80): 8,901 domains (19%) Low quality (<40): 3,766 domains (8%) — flagged for review Revenue from high-quality LPs: $189M/quarter (92% of total) Revenue at risk from low-quality: $4.5M (ROAS below threshold) Enrichment: PageRank, Web Filtering, Domain Ages, /security presence

5Vertical Expansion Detection

AI agent identifies advertisers expanding into new product verticals by monitoring /products and /blog page changes — detecting when existing the platform advertisers are launching new categories that represent upsell opportunities for additional commerce media campaigns.

1
Detect Product Vertical Expansion
/products /blog /press IAB Categories
VERTICAL EXPANSION DETECTION — ADVERTISER UPSELL ═══════════════════════════════════════════════ EXPANSION EVENTS DETECTED: nike.com /products: New "Nike Wellness" category (yoga, meditation) Current the platform vertical: Athletic Footwear New vertical: Wellness & Fitness — upsell opportunity $1.2M/yr dyson.com /products: Added "Dyson Zone" air purification wearables Current the platform vertical: Home Appliances New vertical: Personal Tech — upsell opportunity $890K/yr lululemon.com /products: Launched "lululemon Studio" digital fitness Current the platform vertical: Athletic Apparel New vertical: Digital Fitness — upsell opportunity $670K/yr patagonia.com /products: Added "Patagonia Provisions" food line Current the platform vertical: Outdoor Apparel New vertical: Sustainable Food — upsell opportunity $340K/yr
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Output: Upsell Pipeline

VERTICAL EXPANSION — UPSELL PIPELINE

UPSELL OPPORTUNITIES FROM VERTICAL EXPANSION: ══════════════════════════════════════════════ Expansions detected this quarter: 234 advertisers Total upsell pipeline: $23.4M/year Average upsell per advertiser: $100K/year Detection method: /products page monitoring + IAB category change Lead time: Avg 8 weeks before campaign launch

6Advertiser Maturity Assessment

AI agent classifies advertisers by digital maturity — analyzing /api, /docs, /products page sophistication, and technology stack signals to match each advertiser with the right the platform product tier and onboarding pathway.

1
Score Digital Maturity of Advertiser Base
/api /docs /products OpenPageRank Domain Ages
ADVERTISER MATURITY SEGMENTATION ══════════════════════════════════════════════ ENTERPRISE (maturity 80-100): 2,345 advertisers /api: Yes | /docs: Yes | Avg SKUs: 45K+ | PageRank: 7+ Best product: Commerce Max Enterprise + API integration Example: samsung.com, nike.com, bestbuy.com MID-MARKET (maturity 40-80): 12,345 advertisers /api: Partial | /docs: Basic | Avg SKUs: 5-45K | PageRank: 4-7 Best product: Commerce Max Standard + managed service Example: allbirds.com, glossier.com, brooklinen.com SMB (maturity 0-40): 32,544 advertisers /api: No | /docs: No | Avg SKUs: <5K | PageRank: <4 Best product: Commerce Growth (self-serve) + guided setup Example: localboutique.com, artisanshop.co
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Output: Product-Market Fit Recommendations

MATURITY ASSESSMENT — PRODUCT MATCHING

PRODUCT MATCH OPTIMIZATION: ══════════════════════════════════════════════ Enterprise (API-first): 2,345 advertisers → Commerce Max Enterprise Mid-Market (managed): 12,345 advertisers → Commerce Max Standard SMB (self-serve): 32,544 advertisers → Commerce Growth Revenue uplift from correct tier matching: +23% Churn reduction from right-sized onboarding: -34% Signals: /api presence, /docs depth, SKU count, PageRank, Domain Age

7Budget Cycle Prediction Engine

AI agent predicts advertiser budget cycles by monitoring /events, /press, and /investors pages — detecting fiscal year patterns, conference seasons, and earnings cycles that drive ad spend fluctuations on the ad-tech platform's platform.

1
Map Advertiser Budget Patterns
/events /press /investors Countries
BUDGET CYCLE PREDICTION — ADVERTISER PATTERNS ══════════════════════════════════════════════ FISCAL YEAR PATTERNS DETECTED: Calendar Year (Jan-Dec): 34,567 advertisers (73%) /investors: Annual reports in Q1 | Budget flush: November-December Fiscal Apr-Mar: 4,567 advertisers (10%) — mostly Japanese /investors: Fiscal year reports in May | Budget flush: February-March Fiscal Jul-Jun: 3,456 advertisers (7%) — government/education /investors: Reports in August | Budget flush: May-June UPCOMING BUDGET EVENTS: samsung.com /events: Galaxy Unpacked Feb 2026 → Spike: +$2.1M apple.com /events: WWDC June 2026 → Spike: +$1.8M google.com /events: Google I/O May 2026 → Spike: +$890K
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Output: Budget Cycle Forecast

BUDGET CYCLE — QUARTERLY FORECAST

Q1 2026 BUDGET CYCLE PREDICTIONS: ══════════════════════════════════════════════ Budget flush spending (Nov-Dec carryover): +$12.3M New fiscal year ramp (January start): -15% typical dip Event-driven spikes: +$4.8M (Samsung, MWC, CES carryover) Japanese fiscal year flush: +$2.1M (Feb-Mar) NET FORECAST: Moderate Q1 with recovery by March

8Cross-Channel Spend Mapping

AI agent maps advertiser cross-channel ad spend by analyzing /partners integrations, /careers role types, and /blog content strategy — estimating how advertising budgets are distributed across search, social, programmatic, and retail media to identify the ad-tech platform's wallet share opportunity.

1
Estimate Cross-Channel Budget Distribution
/partners /careers /blog IAB Categories
CROSS-CHANNEL SPEND MAP — TOP ADVERTISERS ══════════════════════════════════════════════ nike.com Est. total digital: $450M/yr Google: 45% ($202M) | Meta: 25% ($112M) | Amazon: 15% ($67M) the platform: 8% ($36M) | TTD: 4% ($18M) | Other: 3% ($15M) the platform wallet share opportunity: +$18M (from Google/Meta shift) samsung.com Est. total digital: $890M/yr Google: 40% ($356M) | Meta: 20% ($178M) | Amazon: 12% ($107M) the platform: 6% ($53M) | TTD: 8% ($71M) | Other: 14% ($125M) the platform wallet share opportunity: +$35M (from TTD/Other shift) DETECTION METHOD: /partners: Platform integrations reveal tech stack /careers: "Google Ads Manager" vs "Commerce Media" roles indicate priority /blog: Channel-specific content reveals strategic focus
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Output: Wallet Share Growth Plan

CROSS-CHANNEL — WALLET SHARE ANALYSIS

PLATFORM WALLET SHARE OPPORTUNITY: ══════════════════════════════════════════════ Current avg the platform wallet share: 7.2% Target wallet share: 12% Revenue opportunity from +4.8% share: $89M/year across top 500 Primary shift sources: Google (-2%), Meta (-1.5%), Other (-1.3%) Signals: /partners, /careers, /blog content analysis

9New Advertiser Prospecting Engine

AI agent identifies high-potential new advertisers by scanning 100M+ domains for commerce signals — /products pages, /pricing tiers, and high PageRank scores — that indicate businesses ready for commerce media advertising on the ad-tech platform's platform.

1
Identify Commerce-Ready Domains
/products /pricing OpenPageRank IAB Categories Personas
NEW ADVERTISER PROSPECTING — DOMAIN SCAN ══════════════════════════════════════════════ DOMAINS SCANNED: 100M+ in AI Agent Domain Database COMMERCE-READY: 234,567 domains with /products pages NOT on the platform HIGH-PRIORITY PROSPECTS: 4,567 (PageRank >5, >1000 SKUs) TOP NEW ADVERTISER PROSPECTS: yeti.com PageRank: 6.8 | SKUs: 2,345 | IAB: Outdoor | Not on the platform vuoriclothing.com PageRank: 5.9 | SKUs: 890 | IAB: Fashion | Not on the platform hydro-flask.com PageRank: 5.4 | SKUs: 456 | IAB: Outdoor | Not on the platform cotopaxi.com PageRank: 5.1 | SKUs: 678 | IAB: Outdoor | Not on the platform
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Output: Sales Pipeline Enrichment

NEW ADVERTISER — PIPELINE REPORT

PROSPECTING PIPELINE: ══════════════════════════════════════════════ High-priority prospects: 4,567 commerce domains Estimated first-year revenue: $34.5M aggregate Avg revenue per new advertiser: $7,500/year Top verticals: Outdoor (23%), Fashion (19%), Home (17%), Beauty (14%) Enrichment used: PageRank, IAB, Personas, Domain Ages, Countries

10Advertiser Lifetime Value Forecasting

AI agent forecasts advertiser lifetime value by combining domain intelligence signals (catalog growth, digital maturity, market position) with historical the platform spend patterns — enabling the sales team to prioritize high-LTV accounts for premium service and investment.

1
Calculate Advertiser LTV from Domain Signals
/products /careers /investors OpenPageRank Domain Ages IAB Categories
ADVERTISER LTV PREDICTION — TOP ACCOUNTS ══════════════════════════════════════════════ HIGHEST PREDICTED LIFETIME VALUE: samsung.com 5yr LTV: $265M | Growth: +12% YoY | Churn: 2% | Score: 98 nike.com 5yr LTV: $180M | Growth: +8% YoY | Churn: 3% | Score: 96 sephora.com 5yr LTV: $89M | Growth: +15% YoY | Churn: 4% | Score: 94 dyson.com 5yr LTV: $56M | Growth: +18% YoY | Churn: 5% | Score: 91 on-running.com 5yr LTV: $45M | Growth: +34% YoY | Churn: 6% | Score: 93 LTV PREDICTION FEATURES: SKU count growth (0.22) — catalog investment = long-term commitment PageRank trajectory (0.18) — growing authority = growing brand /careers digital hiring (0.16) — investing in digital = more ad spend Domain Age (0.14) — established businesses = longer relationships /investors guidance (0.12) — growth outlook = budget growth IAB Category size (0.10) — larger categories = larger budgets Country count (0.08) — global = higher total spend
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Output: LTV-Based Account Prioritization

ADVERTISER LTV — PRIORITIZATION REPORT

LTV-BASED ACCOUNT TIERS: ══════════════════════════════════════════════ Platinum (LTV >$50M): 234 accounts → Dedicated account teams Gold (LTV $10-50M): 1,234 accounts → Priority managed service Silver (LTV $1-10M): 12,345 accounts → Standard managed service Bronze (LTV <$1M): 33,421 accounts → Self-serve platform LTV MODEL ACCURACY: R² = 0.84 on holdout validation TOTAL 5-YEAR PORTFOLIO LTV: $12.4B predicted
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