

One tool for every cost question in a clipping campaign. Estimate qualified-view delivery from a budget, convert a marketplace CPM into its true effective CPQV, or run podcast-specific pricing at FORKOFF's $0.003 anchor. Calibrated against the 5Bn+ view ledger and growing.
CPM looks lower-cost on the rate card. Once you fold in the share of raw views that pass watch-time, geo, traffic, and policy gates, the true cost per qualified outcome can be 5-10x the headline number.
Effective CPQV (true cost)
Cost per qualified view after the qualification gate. Folds the legit rate into the math. This is what your CFO actually charged per outcome.
For the deeper background behind this number, read why Qualified Views is the metric that predicts pipeline.
FORKOFF: 80/80 billed = qualified
Raw CPM (rate card)
Headline cost per 1,000 raw views. Counts everything that loaded the player including bots, sub-1-second skips, and out-of-geo plays. The denominator hides the leakage.
Marketplaces: ~25/80 actually qualify
$0.003
FORKOFF CPQV
Contractual, filtered traffic excluded
5-10x
Typical CPQV padding
Marketplace effective CPQV vs FORKOFF
32%
Median legit rate
Audited marketplace samples
5Bn+
Views and growing
Append-only proof
Budget calc: geo/platform CPV matrix + 8% operational fee fold. CPM converter: effective CPQV = CPM / (1,000 x legit rate), gap = result minus $0.003. Podcast: same budget calc with show-type presets and podcast-specific copy.
Inputs are bounded
CPM is clamped to [$0.50, $30] (the realistic range for short-form clipping marketplaces). Legit rate is clamped to [10%, 100%]. Outside the range, the calculator uses the boundary value.
Effective CPQV is computed
Effective CPQV = CPM ÷ (1,000 × legit rate). Drop the legit rate from 100% to 30% and the effective CPQV triples even though the CPM didn't change.
FORKOFF's CPQV is fixed at $0.003
FORKOFF prices on qualified views directly, so filtered traffic doesn't enter the spend equation. The marketplace number floats with their legit rate; FORKOFF's number is contractual.
Gap = effective CPQV − $0.003
The headline output. A 30% legit rate at $5 CPM = $0.0167 effective CPQV. Gap vs FORKOFF = $0.0137 per qualified view. Multiply by your campaign's qualified-view target to see the leakage in dollars.
Same campaign target (1M qualified views). Different operators. The leakage column is what the brand over-pays the marketplace vs paying FORKOFF on a contractual CPQV.
| Scenario | CPM | Legit | QV target | Effective CPQV | Leakage vs FORKOFF | Verdict |
|---|---|---|---|---|---|---|
Whop-style marketplace Self-serve marketplace, brand sources clippers, raw-view priced. | $4.50 | 32% | 1M | $0.0141 | $11,100 | Padded |
Mid-tier KOL agency Flat KOL fee converted to per-view CPM equivalent. | $12.00 | 28% | 1M | $0.0429 | $39,900 | Fictional |
Self-serve clip tool DIY tool subscription, brand pays and sources distribution. | $1.50 | 45% | 1M | $0.0033 | $300 | Defensible |
FORKOFF managed Managed agency. CPQV fixed at $0.003. Filtered traffic excluded. | n/a | 99.71% | 1M | $0.0030 | $0 | Baseline |
The math applies any time a brand is sourcing distribution from a third party that prices on raw views. Budget calc is for planning. CPM converter is for auditing a quote. Podcast preset is for podcast-led distribution decisions.
Built for
Not the right fit
A view that passes four checks set by the campaign brief: watch duration, policy compliance, geo consistency, and traffic validity. If any check rejects it, the view is logged with a reason code and excluded from both spend and payout.
CPM is cost per 1,000 raw views, regardless of whether anyone watched. CPV (CPQV) is cost per qualified view: only views passing watch-time, policy, geo, and traffic checks count. The denominators are different by 2-3 orders of magnitude.
Advertiser demand differs across markets. US and EU watch is priced higher than SEA. Long-form YouTube has higher CPV than vertical shorts because completion rates and audience intent differ.
No, it's folded in. The estimate already subtracts the 8% operational fee from the budget so the qualified-view total reflects what actually reaches clipper distribution. For larger retainers, the fee can be negotiated down.
Sandbox-tier brands get unspent budget refunded if the qualified-view floor isn't hit. Retainer engagements are governed by the contract: typically a make-good plus reset on the qualification rule.
The calculator estimates a fresh campaign. If you're running existing assets through clippers, expect 10-20% higher qualification rate (assets are vetted) and faster time-to-live.
Median across the FORKOFF ledger: single-geo + 1-2 platforms typically goes live in 24-36h. Multi-geo or full-platform spreads take 36-48h because clipper routing fills more pools.
The cpvBase numbers update quarterly from ledger averages. The model itself runs on the latest figures every page load.
$1,000 for 14 days is the sandbox tier. Below that, the qualification engine doesn't have enough volume to reliably hit calibrated CPV. We recommend the sandbox as the first commit before scaling.
Six-figure monthly retainers are standard. Single-campaign spends above $250K/month run with split-tested geo cohorts and contracted CPQV floors. Talk to a strategist for those.
Yes. Submit the calculator form with an email and you receive a branded HTML breakdown including the inputs, the headline outputs, scenario comparisons, and a strategist follow-up window. The crew also gets a Slack notification.
Yes. If you select a geo and our brief acceptance rules exclude part of it, the estimate accounts for the exclusion before showing qualified views. A strategist confirms the exact exclusion list at brief lock.
Switch to the compare mode of the consolidated calculator at /tools/cpqv-calculator?mode=compare. Same geo/platform/budget inputs, both denominators side-by-side with the same campaign assumptions.
It rolls up the (geo × platform) cells into a weighted average where the weight is the typical traffic share of each cell. The result reflects the blended CPV your campaign would actually see, not a per-cell median.
Counter-intuitively, no. Adding platforms widens the routing pool but also slows the first-clip-live ship time because more clippers are queued. The sweet spot is 2-3 platforms for under 36h, 4+ for 36-48h.
Twitch and Discord are not in the model. They require custom retainer engagements. The calculator covers TikTok, YouTube Shorts, Instagram Reels, and X / Twitter. Together they cover the four platforms that account for ~95% of FORKOFF volume.
The published 99.71% legitimacy rate, 5B+ qualified views, and per-view reason codes all come from the same append-only export brand-side legal teams use for treasury and listing-partner review. Available on request via a strategist call.
It doesn't account for creative quality (some brands get better assets so qualify higher), it doesn't predict conversion (qualified view is a watch metric, not a click or signup), and it doesn't price in retainer-tier discounts (those happen in the contract, not the model).
Industry research and competitor disclosures. Marketplace clipping typically runs 25-45% legit. FORKOFF runs 99.71% on its ledger because filtered traffic is excluded by design at the qualification gate, not after the fact.
It is the rolling ledger average across 5B+ qualified views. Specific campaigns range 99.4-99.9% depending on the brief. The qualification engine writes a reason code on every filtered view, so the rate is auditable.
Yes for any operator that prices on raw view counts. DIY tools like OpusClip, Vizard, Klap do not fit because they are tool subscriptions, not view-priced. See /vs-opusclip for that comparison axis.
Test it. Run the campaign, sample 1,000 random views with a third-party verification tool, count how many pass watch-time, geo, and traffic checks. Most claimed legit rates collapse under audit.
MRC viewability checks whether the ad rendered on screen for at least 1 second with at least 50% pixels visible. FORKOFF qualified views check viewability AND watch-duration AND geo AND traffic validity. Stricter denominator.
Yes. The calculator takes any marketplace's CPM + an estimated legit rate. Run it 3-5 times across competitors, write down the effective CPQV each one produces, and you have a denominator-honest shortlist.
Two things: how much you actually paid per qualified outcome, and how much of your raw spend was filtered into rejection. The second number is the leakage your marketplace pricing was hiding.
Because honest CPQV math is the easiest way to see why managed clipping prices on outcomes, not impressions. The math is the wedge; the calculator just shows it.
FORKOFF prices podcast clipping per qualified view (CPQV) at $0.003 across most markets. A $5,000 sandbox campaign delivers roughly 1.6M qualified views routed to your show's ICP geos. Other operators price on flat retainers ($3,000-$15,000 / month) or raw CPM ($1-$8) where filtered views still count toward billing.
DIY tools (OpusClip, Vizard, Munch) cost $20-$80 / month flat. You provide the strategy, brief, clipper roster, qualification, and reporting. Agencies fold all of that in. FORKOFF's CPQV $0.003 means you pay for views that cleared the four-stage gate, not for the tool's monthly subscription regardless of distribution outcome.
ROI = (qualified views × value per view) ÷ campaign spend. Value per view depends on the show's primary KPI: pipeline (B2B founder pods), wishlist adds (consumer launches), discovery (network shows), or treasury narrative (web3 founder shows). The qualified-view denominator is what makes ROI defensible. raw views inflate the numerator and corrupt the math.
Per-clip pricing rewards the clipper for shipping volume. CPQV rewards the clipper for shipping clips that earn watch-through. Brand intent and clipper intent stay aligned on the qualified denominator, not on raw count.
Per-view CSV/JSON export with: clip ID, source episode, timestamp, platform, geo, watch-duration band, qualification verdict, reason code on filter, and clipper attribution. Finance reconciles against MMP records (AppsFlyer, Adjust) for consumer-app clients and against treasury reporting for web3 clients.
48 hours for sandbox-tier campaigns. Larger retainers run a separate onboarding window (5-10 business days) covering brand-safety policy lockdown, episode back-catalog audit, and clipper-roster sourcing.
Back-catalog runs are typically 15-25% more cost-efficient at the qualification rate level because the show's narrative beats are already proven. New-episode runs require strategist-led beat selection per drop, which trades higher per-episode cost for fresher topical signal.
Higher qualification rate means more raw views convert to billed views, but billing is capped at the brief budget. So a campaign with 80% legitimacy on $5K spend bills $5K; a campaign with 35% legitimacy on $5K spend also bills $5K because filtered views are excluded. The legitimacy rate affects audit confidence and re-engagement targeting, not the bill amount.
No. Filtered traffic is logged with a reason code (sub-watch-time, geo-mismatch, sanctioned-region, traffic-validity flagged) and excluded from billing. Brands never pay for traffic that fails any qualification check.
It is not. Direct ad CPMs on premium podcast networks run $25-$60. FORKOFF CPQV at $0.003 is roughly $3 effective CPM on qualified views, about 10-20× more cost-efficient per attentive listener. The framing flips when you compare on the qualified-view denominator instead of raw impression CPM.
Per our own CPQV benchmark of 3,085 clips, the qualified-view floor holds at $0.003, and the network has processed 5B+ views to date.
Related FORKOFF surfaces
Authorship
Kshitij JK
Founder, FORKOFF
Last reviewed:
Published:
Methodology
The CPQV calibration data behind this tool comes from FORKOFF's 5Bn+ view proof and growing, normalized against IAB Tech Lab MRC viewability standards and MOAT bot-mix benchmarks. Inputs are anchored on creative-economy clipping data (NoGood, OpusClip, Whop) and weighted by spend-tier to keep small-campaign math honest.
Sources cited
Have a question about the CPQV calculator methodology, or need help calibrating against your campaign data? Book a 30-min strategist call
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