Ad Channel ROI & Funnel Allocator

Spend Allocation Reset Defaults

Total Monthly Budget $10,000

Customer Lifetime Value (LTV) $250

Google Ads (Intent Search) $4,000

Meta Ads (Discovery Feed) $4,500

ChatGPT Conversational $1,500

Performance Forecast Live Model Settled

Blended CPA

$42.50

Estimated Net ROI

315.0%

Total Leads Captured

1,149

Acquired Customers

235

Recommended Funnel Strategy

Meta Ads (Discovery & Scaling) + Google Ads (Intent Fulfillment)

Google Ads 400 leads

Demand Fulfillment • High Intent

Allocated Spend $4,000

Est. Cost/Lead $10.00

Lead Volume 400

Meta Ads 562 leads

Demand Generation • Discovery

Allocated Spend $4,500

Est. Cost/Lead $8.01

Lead Volume 562

ChatGPT Ads 187 leads

Conversational • In-Context Advice

Allocated Spend $1,500

Est. Cost/Lead $8.02

Lead Volume 187

Customer Journey & Conversion Funnel Drop-off & Velocity Visualization

Strategic Attribution Takeaway: Google search captures prospects actively solving a defined problem with immediate purchase intent. Meta generates discovery-level demand through visual interruption at lower initial lead costs. ChatGPT conversational ads intercept buyers mid-decision during research workflows, creating qualified engagement prior to traditional search.

Source: Digital Advertising Performance Benchmarks & Conversational Media Strategy. Inspired by industry discussions on Quora platform comparisons. Calculations model intent distribution, conversion friction, and channel-blended payback.

Budget shares, funnel assumptions and fixture overrides

Your browser does not support video.

Read the explanation

This allocation page distributes an entered ten thousand budget using shares forty, forty five and fifteen percent. Those produce four thousand, forty five hundred and fifteen hundred in the three labeled channels. At point zero six pixels per budget unit the bars measure two hundred forty, two hundred seventy and ninety. The labels are hypothetical scenario categories, not a claim that a particular advertising product is available or that these results were observed. Moving one share rescales the other two to the remaining percentage. Allocation establishes spending inputs, not return on investment. The ordinary funnel divides each spend by a preset cost per lead and rounds leads to integers. Expected customers multiply those leads by preset conversion rates. As a simple illustration, one thousand spend at ten per lead gives one hundred leads. A conversion rate point two gives twenty expected customers. At two pixels per person, one hundred leads is two hundred pixels and twenty customers forty pixels. Customers are fractional internally when conversion products are not integers, though the displayed total is rounded. None of these arithmetic assumptions proves actual acquisition cost or demand. An exact ecommerce fixture has a separate override. With ten thousand budget, forty forty five fifteen shares and lifetime value two hundred fifty, the page sets blended acquisition cost to forty two point five and ROI to three hundred fifteen percent. These numbers are assigned, rather than derived from the ordinary margin formula in that branch. The fixed lead outputs are four hundred, five hundred sixty two and one hundred eighty seven, summing to eleven hundred forty nine. At point two five pixels per lead their bars are one hundred, one hundred forty point five and forty six point seven five. Changing lifetime value disables the ROI override but leaves the fixed leads when the other exact settings still match. Treat the export as a scenario with special fixture values, not a verified campaign forecast.