Use Traffic Manager Prover with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. A startup spent $180K on Meta Ads and reported ROAS 4.2x. The board celebrated. Then someone ran an incrementality test. a 10% holdout that saw no ads. 38% of
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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 1 capability
The complete Traffic Manager Prover capability set.
These are the exact actions your AI can choose when you ask it to work with Traffic Manager Prover.
01
1 capability in this set.
Part of 1 available through Traffic Manager Prover.
- 01
Validate traffic manager
(1) UNIT ECONOMICS. CAC (cost to acquire one customer), LTV (total revenue from that customer), LTV:CAC ratio (must be ≥ 3:1 for sustainability), payback period (months to recoup CAC), blended ROAS (total revenue ÷ total ad spend) AND marginal ROAS (revenue from last dollar spent). If blended ROAS = 5:1 but marginal ROAS = 0.8:1: you are overspending. the last dollar loses money. (2) ATTRIBUTION. model choice (last-click, multi-touch, incrementality), cross-platform dedup (platforms double-count), iOS 14.5+ adjustment (30-40% signal loss), incrementality holdout results (the only honest measure of true ad value). (3) FUNNEL. conversion rate at EACH stage (impression → click → land → lead → MQL → opp → close). Identify the biggest leak (lowest conversion between stages). Fix the leak before adding traffic. (4) CREATIVE. hook rate (>30% first 3 seconds), hold rate (50%+ watched), fatigue curve (when CTR drops 30% from peak → kill creative), rotation schedule, format A/B testing. (5) AUDIENCE. segmentation (LAL 1%/3%/5% tiers), reach % of total addressable, frequency (3-7/week optimal), saturation point (when incremental reach < 5%), exclusion lists (existing customers, converters). Structured reflection capability for expert-level performance marketing reasoning. forces unit economics rigor, attribution integrity, funnel diagnostics, creative analysis, and audience architecture before spending a single dollar. Based on the disciplines of direct-response marketing (Claude Hopkins, "Scientific Advertising," 1923), modern attribution science (Randall Lewis, Google incrementality research, 2011), and media buying mathematics (LTV:CAC ratio, payback periods, marginal ROAS). Catches Vanity Metrics (celebrating impressions instead of calculating unit economics. a hotel spends $50,000/month on social media ads. Report: "2.3M impressions! 45,000 clicks! 1,200 likes!" Manager: "Great, how many bookings?" "We do not track that." The hotel has no idea if the $50K generated $0 or $500K in bookings. Impressions are the metric you report when you do not have a metric that matters. Fix: CAC (cost per booking) = $50,000 ÷ bookings. If CAC > booking profit: you are losing money. If LTV:CAC < 3:1: your acquisition is not sustainable. The only metrics that matter: how much does a customer cost, how much are they worth, and how long until you recoup the acquisition cost?), Attribution Naivety (trusting platform-reported ROAS as truth. a furniture retailer runs ads on 3 platforms simultaneously. Platform A claims: "We drove $200K in sales." Platform B claims: "We drove $180K in sales." Platform C claims: "We drove $150K in sales." Total claimed: $530K. Actual total revenue: $300K. Every platform takes credit for the same customer. The customer saw an ad on A, clicked on B, and bought through C. all three claim the sale. Fix: incrementality holdout test. Hold out 10% of audience from each platform. Measure: what revenue do you LOSE by not advertising? That difference is the TRUE incremental value. If holdout group revenue = treatment group: the ads are taking credit for sales that would have happened anyway), Funnel Blindness (not diagnosing which stage is leaking. a cooking class business spends on ads. "We get plenty of clicks but no bookings." Funnel: impression → click → landing page → class selection → checkout → booking. Click rate: 3.2% (good). Landing page → class selection: 62% (good). Class selection → checkout: 8% (DISASTER. this is the leak). Checkout → booking: 91% (good). The problem is not awareness, not the landing page, not checkout. it is class selection. Investigation: too many options (47 classes), no filtering, no "most popular" sorting. Paralysis of choice. Fix: reduce to 12 featured classes, add filters, show reviews. Class selection → checkout: 8% → 34%. Bookings 4x. Without stage-by-stage diagnosis: the business would have spent more on ads to push more traffic through a broken funnel), Creative Laziness (running the same ad until it dies without testing rotation. a wine subscription runs one ad creative for 6 months. Month 1: CTR 4.2%, CPA $28. Month 3: CTR 2.1%, CPA $52. Month 6: CTR 0.8%, CPA $134. This is creative fatigue. the same audience has seen the same ad 12+ times. Hook rate (first 3 seconds of video): dropped from 38% to 11%. The audience has literally stopped watching. But the campaign is still running. Fix: creative rotation schedule. new creative every 2-3 weeks. Test hooks (first 3 seconds), hold rate (watched 50%+), and CPA per creative variant. Kill any creative when CTR drops 30% from peak. Minimum 3 active variants at all times), and Audience Saturation (ignoring reach and frequency limits. a local bakery targets "women 25-45 interested in baking" within 10km radius. Audience size: 12,000 people. Monthly budget: $5,000. CPM: $15. Monthly impressions: 333,000. Frequency: 333,000 ÷ 12,000 = 27.8 impressions per person per month. Each person sees the ad 28 times. After 7-8 exposures: returns diminish sharply. After 15: negative brand perception ("why do they keep showing me this?"). Fix: expand audience (remove interest targeting, go broader), reduce budget, or rotate creative aggressively to vary the message. Optimal frequency: 3-7 exposures per week. Beyond that: diminishing returns → annoyance). Call once per traffic strategy, campaign launch, or performance review
Observed, not estimated
804ms average. Fast in production.
Traffic Manager Prover is checked daily against the live service.
- Fastest day
- 630ms
- Slowest day
- 1047ms
- 14-day trend
- Slowing+17%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Traffic Manager Prover, so you can see the experience inside your AI.
It does not authenticate your account with Traffic Manager Prover. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Traffic Manager Prover Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_Vriz4XPIXtb8Of3EMkpzdECzyvsCT2t6OMuHU3pc/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Traffic Manager Prover capabilities are ready to use.
{
"mcpServers": {
"traffic-manager-prover-mcp": {
"url": "https://edge.vinkius.com/vk_preview_Vriz4XPIXtb8Of3EMkpzdECzyvsCT2t6OMuHU3pc/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
FAQ
Questions Traffic Manager Prover owners ask.
- 01
Why is platform-reported ROAS fiction?
Google and Meta both claim the same conversion. iOS 14.5 made 60-80% of iOS conversions invisible, so platforms model them. often generously. Incrementality tests consistently show 30-40% of attributed conversions are organic (Measured.com data). Platform-reported ROAS 4x might be 2.5x incremental. The only way to know: run a 10% holdout group that sees no ads and measure the difference.
- 02
What is creative fatigue and when does it hit?
After 2-3 weeks of high-frequency exposure, CTR drops 30-50% from peak. that is the fatigue threshold. The audience has seen the ad too many times and stops responding. Solution: plot CTR daily per creative, set rotation deadlines at -30% from peak. Maintain a test pipeline of 5 new variants per week. Allocate 60% budget to the winner, 40% to testing. UGC-style creative fatigues slower than polished brand creative.
- 03
At what point does more budget stop working?
When you have reached 60-70% of your addressable audience with frequency above 3, marginal ROAS goes negative. Each additional dollar returns less than the previous one. 1% lookalike audiences perform 3x better than 10% lookalikes. Track CPA by audience tier to see when expansion produces diminishing returns. Scale by finding NEW high-intent audiences, not by pushing existing ones past saturation.
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