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Calculateur de ROI du marketing WiFi et des données first-party

Estimez les économies sur le coût d'acquisition client et la croissance de votre base de données en remplaçant les cookies par la collecte de données via le WiFi invité.

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.

Modélisez votre retour sur investissement marketing offline-to-online

Avec la fin progressive des cookies tiers, les établissements physiques doivent collecter des données first-party directement depuis leur fréquentation. Ce calculateur modélise la croissance de la base de données et les retours du marketing par e-mail en fonction de la fréquentation et de la valeur moyenne des transactions.

Principaux avantages modélisés

  • Croissance de la base de données CRM first-party sur 12, 24 et 36 mois.
  • Estimation des revenus des campagnes marketing générés par des e-mails automatisés.
  • Comparaison des coûts d'acquisition client par rapport au référencement payant et aux publicités sur les réseaux sociaux.

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.

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