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Calculadora de ROI de marketing de WiFi y datos propios

Estime el ahorro en costes de adquisición de clientes y el crecimiento de la base de datos al sustituir las cookies por la captura de datos de WiFi para invitados.

1. Monthly visitor footfall

Total number of physical visitors entering your venue(s) each month.

visitors / month

2. WiFi opt-in rate

Percentage of visitors who connect to WiFi and opt into your database.

12%Purple average: 10% - 15%

3. Guest spending habits

$45per purchase
4 timesannually per guest

4. Alternative acquisition cost

Average paid ad cost per lead (CPL) to capture an equivalent email record.

$1.80ad agency benchmark CPL

5. Email campaign conversion rate

Percentage of database contacts who purchase in response to automated email campaigns.

1.5%purchase conversion rate
Year 1 value projection
$136,080
Combined replacement & campaign value

By converting physical footfall into digital profiles, you capture 43,200 new contacts in Year 1. Acquiring these via paid advertising would cost you $77,760 in ad spend. In addition, automated CRM campaigns are projected to yield $58,320 in direct sales.

Three-year database & campaign projection
Year 1
43,200 contacts+$58,320 sales
Year 2
86,400 contacts+$174,960 sales
Year 3
129,600 contacts+$291,600 sales

Cookie deprecation safety audit

Third-party cookie deprecation and browser tracking restrictions mean you lose visibility on approximately 13,500 offline visits per month. Guest WiFi acts as an identity bridge—capturing consented email addresses directly from physical presence, bypassing ad blockers, and restoring tracking accuracy.

Understanding the business case for first-party data

First-party data captured at the point of presence has a significantly lower acquisition cost than digital retargeting ads. Once a guest is registered in your CRM, future marketing campaigns cost fractions of a cent per email, avoiding the persistent ad networks tax. This model demonstrates how guest WiFi serves as a self-funding marketing channel.

Modele su retorno de marketing de offline a online

Con la desaparición de las cookies de terceros, los establecimientos físicos deben capturar datos propios directamente de la afluencia de sus visitantes. Esta calculadora modela el crecimiento de la base de datos y el retorno del marketing por correo electrónico en función de la afluencia y el valor medio de las transacciones.

Principales beneficios modelados

  • Crecimiento de la base de datos de CRM con datos propios a los 12, 24 y 36 meses.
  • Ingresos estimados de campañas de marketing mediante activadores de correo electrónico automatizados.
  • Comparaciones de costes de adquisición de clientes frente a anuncios de pago en buscadores y redes sociales.

Ready to grow your database?

Capturing first-party profiles at your physical locations bypasses cookie-dependency. Purple automates the CRM synchronization and triggers relevant, location-aware visitor marketing.

Talk to a marketing expert