PPC → SEO Arbitrage Prioritizer
Free, no signup. Find non-brand paid terms ranking 4–15 organically, then estimate the paid clicks an improvement could replace. The reverse tab turns converting paid-only terms into content-brief starters.
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Local data
Saved targets, named lists, and recent check summaries remain only in this browser.
opportunities. Savings are modeled at 70–100% of incremental organic clicks that could replace paid clicks; validate with a controlled test.
| Term | Organic pos. | Paid cost | Replaceable clicks | Modeled $/mo |
|---|
converting paid-only topic clusters.
| Topic | Terms | Conversions | Paid cost | Brief direction |
|---|
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Runs entirely in your browser — nothing you paste is uploaded or stored. Anonymous run-level outcome counters may be used for aggregate research; URLs, domains, IPs, and identifiers are never included, and no statistic is released below 100 runs.
How to use it
- Paste an Ads search-terms export with clicks, cost, conversions, and ideally Avg. CPC.
- Paste a GSC Queries export for the same period and scope.
- Add brand terms to exclude and choose a target organic position from 1 to 10.
- Select Prioritize opportunities. Review modeled savings and converting paid-only briefs separately, then export the useful rows.
Sample report Example data — engine calculation
This static example was calculated with fictional rows and a target position of 3. Live runs fit a site-specific CTR curve from eligible imported GSC rows and fall back to the generic curve when the export is too sparse.
What the results mean
Replaceable paid clicks is the smaller of current paid clicks and modeled incremental organic clicks. Modeled monthly savings applies a 70–100% range to replaceable clicks times CPC; “monthly” assumes the exports represent a month. Content briefs aggregate converting paid-only terms by a transparent stem cluster and retain conversions and cost as evidence.
How it works
The engine excludes aggregate and supplied brand matches, then joins each Ads term to at most one exact or near-duplicate GSC query. Positions outside 4–15 are not savings candidates. For eligible rows, it estimates CTR at the target position, calculates positive incremental clicks, caps them at paid clicks, and values them at observed or derived CPC. Unmatched converting terms are clustered by query stems for the reverse content path.
Features
- Two-way workflow: paid-spend replacement scenarios and paid-only content evidence.
- Editable target position and typo-tolerant brand exclusion.
- CSV exports with the assumptions and underlying metrics.
- Browser-only processing.
Limitations
- The fitted site CTR curve still does not model SERP features, device, country, or query-mix changes; sparse imports fall back to a generic curve.
- Near-duplicate matching is lexical; synonyms can remain unmatched.
- Projected rank, replacement rate, and savings are scenarios—not causal or financial forecasts.
- Content-brief text is a starter based on stem clusters, not a SERP or intent analysis.
Frequently asked questions
Which terms qualify for modeled PPC-to-SEO savings?
A non-brand Ads term must match an exact or near-duplicate GSC query at average position 4 through 15. The projected incremental organic clicks must be positive, and the Ads row needs a usable CPC.
How are modeled savings calculated?
The tool estimates clicks at the selected target position, subtracts current organic clicks, caps replaceable clicks at current paid clicks, then multiplies by CPC. The displayed range is 70 to 100 percent of that amount.
Are the savings a forecast or budget recommendation?
No. They are a prioritization scenario. Organic improvement is uncertain, paid clicks may be incremental, and conversions can change when ad coverage changes.
What creates a content brief candidate?
A non-brand paid search term with at least one conversion and no exact or near-duplicate GSC query is grouped with similar missing terms using transparent stem overlap.
Why should I add brand terms?
Brand search often has unusual CTR and paid-defense economics. Adding brand terms excludes exact, contained, and typo-tolerant brand matches from both opportunity paths.
Feature requests for Ppc Seo Arbitrage
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Sobre a ferramenta
Grátis, sem cadastro. Encontre termos pagos sem marca que ranqueiam organicamente entre 4 e 15 e estime quantos cliques pagos uma melhoria poderia substituir. A aba inversa transforma termos pagos que convertem e são apenas pagos em pontos de partida para briefings de conteúdo.
Priorizar paga termos onde um organic classificação improvement could replace spend, plus converting termos sem organic coverage.
Recursos
- Recursos. Fluxo de trabalho em duas direções: cenários de substituição de gasto pago e evidências de conteúdo apenas pago. Posição-alvo editável e exclusão de marca tolerante a erros. Exportações CSV com as premissas e métricas subjacentes. Processamento somente no navegador.
- Paste um Ads search-terms exportar com clicks, cost, conversions, e ideally Avg. CPC. Paste um GSC Consultas exportar para o mesmo período e escopo. Adicione brand termos para excluir e escolha um alvo organic position de 1 para 10. Selecione Priorizar oportunidades . Revisão modelado savings e converting paid-only briefs separately, então exportar o useful linhas.
- Um non-brand Ads termo deve correspondência um exato ou near-duplicate GSC consulta em average position 4 por 15. O projected incremental organic clicks deve ser positive, e o Ads linha precisa um usable CPC.
- O ferramenta estimates clicks em o selecionado alvo position, subtracts atual organic clicks, caps replaceable clicks em atual paga clicks, então multiplies por CPC. O displayed intervalo é 70 para 100 percent de que amount.
Como funciona
O ferramenta estimates clicks em o selecionado alvo position, subtracts atual organic clicks, caps replaceable clicks em atual paga clicks, então multiplies por CPC. O displayed intervalo é 70 para 100 percent de que amount.
Limitações
- Limitations O fitted site CTR curve ainda faz não model SERP features, device, country, ou query-mix alterações; sparse imports fall back para um generic curve. Near-duplicate correspondente é lexical; synonyms pode permanecem unmatched. Projected classificação, replacement taxa, e savings são scenarios—não causal ou financial forecasts. Content-brief texto é um starter baseado em stem clusters, não um SERP ou intenção analysis.
- Não. They são um priorização scenario. Organic improvement é uncertain, paga clicks pode ser incremental, e conversions pode alteração quando ad coverage alterações.
Perguntas frequentes
qual termos qualificar para modelada PPC-para-SEO economia?
A non-brand Ads termo deve corresponder um exatos ou near-duplicate GSC consulta em média posição 4 por meio de 15. o projetados incrementais orgânico cliques deve be positivo, e o Ads linha precisa a usable CPC.
Como economias modeladas ão calculadas?
o ferramenta estimativas cliques em o selectdo target posição, subtracts atual orgânico cliques, caps substituíveis cliques em atual pago cliques, então multiplies por CPC. o exibida faixa É 70 para 100 por cento de que valor.
Are o economia a previsão ou orçamento recomendação?
não. eles are a prioritização cenário. orgânico melhoria é uncertain, pago cliques may be incrementais, e conversões pode change quando ad coverage changes.
What creates a conteúdo brief candidato?
A non-brand pago pesquisa termo com em pelo menos um conversão e não exatos ou near-duplicate GSC consulta é agrupados com semelhante ausentes termos usndo transparente radical sobreposição.
Por que devo adicionar termos de marca?
marca pesquisa frequentemente tem unusual CTR e paid-defense economics. adicionar marca termos exclui exatos, contidos, e typo-tolerant marca corresponde de ambos oportunidade paths.