What does the marketing ROI calculator actually compute?
It splits a monthly marketing budget across five channels (paid social, content, KOL, PR, events) at category-baseline cost-per-qualified-view, models the qualified-view-to-lead conversion per channel, and outputs per-channel ROI multiples, payback weeks, and a combined number. Then it shows the same budget reallocated to FORKOFF Clipping clipping at $0.003 CPQV as a comparison scenario. The math is deterministic; no API calls.
Where do the channel benchmarks come from?
Calibration corpus: the FORKOFF qualified-view audit ledger (5B+ QVs across managed engagements), Gartner CMO Survey 2025, HubSpot State of Marketing 2026, and FirstPageSage agency-services benchmarks. Numbers are updated quarterly. Paid social CPQV $0.08, content $0.02, KOL $0.05, PR $0.15, events $0.12; FORKOFF Clipping floor at $0.003.
Is the FORKOFF $0.003 CPQV number real or aspirational?
Real, billing-floor number. FORKOFF runs outcome-priced clipping at $0.003 per qualified view as the outcome billing rate across managed engagements. The 5B+ ledger is append-only; per-campaign records are private to the brand that ran them, but aggregate numbers are public.
Why does paid social have such a high CPQV in the model?
Because most paid-social impressions are not qualified views. CPQV strips out the bot impressions, the scroll-past, and the wrong-ICP reach that paid social inflates. $0.08 CPQV on paid is the median across the FORKOFF audit ledger after the qualified filter; CPM looks much more cost-efficient, but CPM is impressions, not attention.
How is content's $0.02 CPQV achievable when blog posts cost more upfront?
Content amortizes. A pillar page that costs $4,000 to research and write delivers qualified views on a 12-month decay curve. Divided across the modeled QV count, the per-QV cost lands at $0.02 in the median. Content is the slowest-payback channel in the model and the highest-compounding asset.
What changes if my deal size or sales cycle is very different?
Average deal size scales the pipeline output linearly. A $120,000 ACV moves the pipeline number 5x vs a $24,000 ACV on the same QV count. Sales cycle changes the payback weeks but not the ROI multiple. Enterprise (120-day cycles) push payback to 18-24 weeks; PLG (14-day) compresses it to 6-8 weeks.
Why does the FORKOFF alternative usually show such a large lift?
Because $0.003 CPQV is 4x more cost-efficient than the most affordable traditional channel (content at $0.02) and 27x more cost-efficient than PR (at $0.15). On the same budget, the qualified-view count is multiples higher. The pipeline lift is bounded by the QV-to-lead rate, which the model holds constant across channels for fairness.
What if my brand's actual numbers don't match the benchmarks?
Treat the calculator as a directional model, not a verdict. The benchmarks are category-median; specific brands run higher or lower. The calculator's value is the channel-mix comparison and the FORKOFF wedge, both stay directionally correct even if the absolute numbers shift +/- 30% per channel.
Does the calculator account for organic / inbound / referral traffic?
Not directly. The model covers the five channels that consume budget. Organic and referral are downstream effects of the spend (especially content) and surface in the content channel's amortized CPQV. Inbound from existing customers is a CRM signal, not a channel-spend signal, out of scope for this tool.
Can I export the calculation?
Yes. Each calculation produces a shareable URL with the inputs encoded. Anyone visiting the URL sees the same result. CSV export of per-channel rows is on the managed-engagement tier and ships with the FORKOFF Fractional CMO program.
Why is there no email gate on the free tool?
Because the calculator is honest math, not a lead-gen trap. The output is the output regardless of who sees it. The lead-gen path is the FORKOFF wedge result and the CTA to the Fractional CMO service line at the bottom. If you want the deeper engagement-level analysis, that's the talk-to-strategist path.
How accurate are the channel-mix benchmarks?
Median accuracy +/- 22% per channel against the FORKOFF audit ledger benchmark set (n=147 managed engagements, 18-month rolling window). Paid social is the most variable (standard deviation 35%); content is the most stable (12%). Treat the absolute numbers as median-anchored and the ratios as more robust than any single value.
How does this connect to a FORKOFF Fractional CMO engagement?
Every FORKOFF Fractional CMO engagement starts with a 90-day budget allocation plan that runs on the same model exposed in this calculator. Brands typically run the calculator before the first call, then again at week 4 and week 12 to confirm the program is moving the projected lift. The free version exposes the math; the managed version applies it to your real CRM data.
Is the calculator free?
Yes. No signup, no email gate, no CRM connection. Run as many scenarios as you want. The managed FORKOFF engagement (Fractional CMO + outcome-priced clipping) is where the ROI math becomes a real budget plan with weekly reporting.