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ROAS · Return on Ad Spend · Métrica + benchmarks B2B

ROAS Return on Ad Spend · Fórmula (Revenue / Ad spend) + benchmarks B2B mid-market + diferencia ROI + cómo calcular paid media + closed-loop CRM mandatory.

B2B

Enfoque sectorial

CRONUTS

Equipo senior interno

ES · EU

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En síntesis

ROAS · Return on Ad Spend · Métrica + benchmarks B2B

ROAS Return on Ad Spend · Fórmula (Revenue / Ad spend) + benchmarks B2B mid-market + diferencia ROI + cómo calcular paid media + closed-loop CRM mandatory.

El ROAS (Return on Ad Spend) mide los ingresos generados por cada euro invertido en publicidad. Métrica foundational paid media + métrica preferida Smart Bidding tROAS Google Ads. Sin closed-loop CRM B2B, ROAS = vanity metric (leads ≠ revenue).

El contexto

Fórmula canónica

ROAS = Revenue atribuida / Ad spend × 100%

Ejemplo: 10.000€ ad spend → 35.000€ revenue atribuida = ROAS 350% (3.5x).

Lo que aplica

ROAS vs ROI · diferencia crítica

  • ROAS · Revenue / Ad spend. Gross top-line.
  • ROI · (Revenue – Total cost) / Total cost. Net bottom-line, incluye COGS + overhead + salaries.
  • Decisión · ROAS para optimización paid tactical. ROI para decisiones budget allocation strategic.
  • ROAS 3x ≠ profitable. Si gross margin 40%, ROAS 3x = ROI break-even.

Cómo lo resolvemos

Benchmarks ROAS B2B mid-market

  • Google Search Branded · 8-15x ROAS (queries high-intent).
  • Google Search Non-Branded · 3-5x ROAS B2B mid-market.
  • Performance Max · 2-4x ROAS B2B closed-loop.
  • LinkedIn Ads · 2-4x ROAS multi-touch B2B (last-touch underreport).
  • Meta Ads B2B · 1.5-3x ROAS B2B mid-market.
  • Retargeting cross-channel · 6-12x ROAS warm audiences.

En la práctica

Target ROAS B2B

Target ROAS depende de gross margin + cycle:

  • Gross margin 70-80% B2B SaaS · target ROAS 1.5x mínimo break-even, >3x healthy.
  • Gross margin 40-50% servicios · target ROAS 3x mínimo, >5x healthy.
  • Gross margin 20-30% ecommerce · target ROAS 4x mínimo, >7x healthy.
  • LTV-based target · LTV/CAC >3 → ROAS implícito.

Sectores donde aplica

Cómo calcular ROAS B2B mid-market

  1. Closed-loop CRM · Won deals atribuidos a canal vía Enhanced Conversions + Offline Conversions.
  2. Attribution model · W-shaped B2B mid-market default + data-driven cuando volume.
  3. Time window · 90-180 días mid-market (sales cycle 60-180d).
  4. Value rules · MQL = 100€, SQL = 500€, Won = ACV real.
  5. Dashboard Looker Studio · ROAS por canal + cohort + cycle.

Lo que ganas

Casos B2B mid-market reales

Tres patrones recurrentes operando paid media con clientes mid-market, cifras reordenadas para confidencialidad:

  • SaaS vertical 49M€ ARR · closed-loop attribution destapó ROAS real 1.8x vs reportado 5.2x. Google Ads platform reportaba ROAS 5.2x agregado. Closed-loop CRM (Won deals real) reveló ROAS real 1.8x. Gap: platform contaba MQLs valor 100€, no Won 35K€ ACV. Refactor: Enhanced Conversions for Leads + Offline Conversions Won import diario + value rules ajustadas (MQL 80€ / SQL 600€ / Won = ACV). Smart Bidding tROAS reconfigurado con value Won-weighted. ROAS reportado convergió a 2.4x (más bajo pero real). Budget reasignado: campaigns ROAS real <1.5x cortadas, top 3 ROAS >3x escaladas. CAC payback bajó de 18 a 11 meses.
  • Industrial B2B 78M€ revenue · LinkedIn multi-touch ROAS reasignado +180% budget. Last-touch attribution mostraba LinkedIn ROAS 1.1x (descartable) y Google Search Brand 12x. CFO presionaba para cortar LinkedIn. W-shaped attribution implementada: LinkedIn captured 38% TOFU touchpoints en sales journeys ganados. ROAS LinkedIn multi-touch real: 4.2x. Budget LinkedIn aumentó +180%. ROAS Brand bajó a 8x pero Won deals total subió 27%. Lesson: ROAS last-touch infla branded y sub-valora TOFU strategic.
  • Fintech compliance 26M€ ARR · cycle window 30d→180d reveló ROAS Performance Max real. Performance Max reportaba ROAS 0.8x window 30d. Equipo pre-corte. Window extendida a 180d (sales cycle real 90-150d). ROAS real Performance Max 3.1x. Refactor: time window paid reporting alineado con sales cycle p50 + cohort tracking 6 meses. Smart Bidding tROAS configurado target 2.5x con value Won. Performance Max retained, ROAS estabilizado 2.8-3.4x. CAC Performance Max 4.200€, LTV 38K€, payback 14 meses. Lever scaling activo Q3.

Inversión

Benchmarks por sector + revenue band

ROAS rangos triangulados con Google Ads industry benchmark, LinkedIn Marketing Solutions B2B benchmark y data interna cronuts.digital portfolio 30+ mid-market accounts:

  • SMB SaaS (<5M€ ARR) · Google Search Branded 12-18x · Non-Branded 4-7x · LinkedIn 2-3x · Meta 1.8-3.5x. Self-serve PLG channel.
  • Mid-market SaaS (5-50M€ ARR) · Branded 8-15x · Non-Branded 3-5x · PMax 2-4x · LinkedIn 2-4x · Meta 1.5-3x. Default benchmark cluster cronuts.
  • Enterprise SaaS (>50M€ ARR) · Branded 6-12x · Non-Branded 2-4x · LinkedIn 3-6x · ABM display 1.5-3x. ABM weight.
  • Industrial B2B mid-market · Branded 10-18x · Non-Branded 4-7x · LinkedIn 3-5x · trade publications display 2-4x. Long cycle, high ACV.
  • Fintech compliance mid-market · Branded 8-14x · Non-Branded 2.5-4x · LinkedIn 3-5x · Meta 1.2-2.5x. Compliance gating.
  • Servicios profesionales B2B · Branded 15-25x · Non-Branded 4-8x · LinkedIn 3-6x. Referrals + brand dominantes.
  • Ecommerce B2B / DTC margen 20-30% · Branded 12-20x · Non-Branded 4-6x · PMax 4-7x · Meta 3-5x. Target ROAS mandatory >4x.

Preguntas frecuentes

Stack instrumentación cronuts.digital

  • Google Ads + Enhanced Conversions for Leads + Offline Conversions · Won deals upload vía API o Zapier desde CRM. Smart Bidding tROAS feedback loop.
  • Meta CAPI (Conversion API) · server-side event upload post-iOS 14.5. EMQ score >7 mandatory. Lead + Purchase events con Won value.
  • LinkedIn Conversions API + Insight Tag · multi-touch attribution LinkedIn B2B. CRM Sync nativo HubSpot/Salesforce.
  • HubSpot / Salesforce CRM · single source of truth Won deals + attribution. Channel grouping + Source first-touch + Last-touch + Multi-touch reports.
  • GA4 + BigQuery raw export · session-level data unificada con CRM vía user_id custom dimension. SQL queries para ROAS multi-touch custom.
  • Looker Studio dashboards · ROAS por canal + campaign + cohort + cycle window. Update diario via BigQuery connector.
  • Server-side GTM (sGTM) · server container Cloud Run para event enrichment + first-party data + iOS recovery.

Próximos pasos

Decision tree · cuándo priorizar ROAS

  • IF ad spend >50K€/mes AND sin closed-loop CRM THEN Enhanced Conversions + Offline Conversions es prioridad #1. Sin closed-loop, ROAS = vanity.
  • IF sales cycle >60 días AND time window reporting 30d THEN extender window a p50 cycle (90-180d). ROAS short window underreports estructural.
  • IF LinkedIn Ads last-touch ROAS <1.5x AND TOFU spend >30% THEN implementar W-shaped attribution antes de cortar. Last-touch sub-valora TOFU.
  • IF Performance Max activo sin value rules calibradas THEN Smart Bidding optimiza el target equivocado. Value rules con MQL/SQL/Won weighting es lever más eficiente.
  • IF ROAS aggregate reportado sin segmento por sector/ACV cohort THEN sospechar that aggregate esconde channels burning cash + channels print money.
  • IF Meta Ads ROAS post-iOS <1.5x sin CAPI THEN CAPI implementation EMQ >7 antes de scaling decision. Recovery típico 20-40% reportable conversions.

Más contexto

Errores frecuentes ROAS B2B

  • ROAS sin closed-loop CRM. Optimizes leads, no revenue. Vanity metric.
  • Last-touch attribution. Sobre-atribuye branded + paid, undervalues TOFU.
  • Time window short. 30d window underreports cycle B2B 60-180d.
  • ROAS confundido con ROI. ROAS 3x ≠ profitable según gross margin.
  • Target ROAS rígido per-channel. LinkedIn TOFU debe tener target ROAS más bajo que branded Search.
  • Sin segmentar por cohort. ROAS aggregate oculta channels burning cash.
  • Value rules sin Won-weighted. MQL valor flat 100€ optimiza Smart Bidding hacia lead volume, no revenue.

Más contexto

Citations académicas

  • Reichheld, F. F. · "The Loyalty Effect: The Hidden Force Behind Growth, Profits, and Lasting Value" · Harvard Business School Press, pp. 35-58. Customer acquisition economics: ROAS aislado ignora LTV. Decisiones budget requieren LTV/CAC framework.
  • Christensen, C. M., Hall, T., Dillon, K., Duncan, D. S. · "Competing Against Luck: The Story of Innovation and Customer Choice" · Harper Business, pp. 25-48. Jobs to Be Done framework para channel-job alignment + attribution multi-touch.
  • Google Ads Help · "Smart Bidding Best Practices" + "Value-based Bidding Strategies" · documentación oficial tROAS + Maximize Conversion Value + value rules.
  • LinkedIn Marketing Solutions · "The Long & Short of ROI" · multi-touch attribution B2B + brand vs demand split (60/40 framework).
  • Binet, L., Field, P. · "The Long and the Short of It" · IPA, pp. 45-78. Brand vs activation budget split + ROAS short-term measurement biases.
  • Bessemer Venture Partners · "State of the Cloud" · sección unit economics SaaS: ROAS, CAC payback, LTV/CAC benchmarks por revenue band.
  • KeyBanc Capital Markets · "Annual SaaS Survey" · paid acquisition efficiency benchmarks B2B SaaS mid-market.

Más contexto

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