Skip to main content

How to leverage SMS in marketing to increase return visits

This technical reference guide outlines how enterprise venues can integrate WiFi analytics with SMS marketing engines to drive repeat visits. It details the architecture required to capture real-time presence data, trigger automated SMS campaigns based on physical behaviour, and measure the direct impact on return rates. By aligning network infrastructure with marketing automation, IT and operations teams can establish a high-yield channel for customer retention.

📖 9 min read📝 2,055 words🔧 2 worked examples3 practice questions📚 8 key definitions

header_image.png

Executive Summary

Physical venues face a persistent challenge in matching the customer retention capabilities of digital spaces. While e-commerce platforms track, retarget, and re-engage visitors with precision, physical locations often operate in an informational vacuum. Enterprise WiFi infrastructure, when integrated with analytics and communication engines, bridges this gap. By utilising the captive portal as a data collection point, venues can capture verified mobile numbers and link them to unique device identifiers.

This guide details how to utilise SMS marketing - triggered by real-time WiFi analytics - to systematically increase return visits. SMS remains an exceptionally effective channel, boasting open rates near 98%, with the majority of messages read within three minutes of delivery. By tying these messages to physical behaviour, such as dwell time, visit frequency, or lapsed attendance, organisations can deliver highly contextual communications that prompt action. This document provides the technical architecture, implementation steps, and best practices required by IT managers, network architects, and operations directors to deploy a reliable, compliant, and automated SMS marketing system.

Technical Deep-Dive

To build an automated SMS marketing system based on physical presence, you must integrate several distinct layers: the physical wireless network, the AAA (Authentication, Authorization, and Accounting) server, the WiFi analytics engine, and the external SMS gateway.

The Data Capture and Authentication Flow

When a visitor enters a venue and attempts to connect to the guest WiFi, the process begins at the Access Point (AP) or Wireless LAN Controller (WLC). The WLC redirects the user's HTTP traffic to a captive portal hosted by the Purple platform.

  1. Association and Redirection: The user's device associates with the guest SSID. The WLC intercepts the initial browser request and redirects the user to the captive portal URL, appending the client's MAC address and the AP's MAC address (called the Called-Station-ID) to the query string.
  2. Data Collection and Consent: The captive portal presents a registration form. To enable SMS marketing, the form must collect the user's mobile phone number with an explicit, active opt-in checkbox that complies with local regulations (such as GDPR in Europe or TCPA in the United States). The country code must be automatically detected or explicitly selected to ensure correct routing.
  3. RADIUS Authentication: Once the user submits the form, the Purple platform communicates with the network's RADIUS server to authorise internet access. The RADIUS server logs the session start time, associating the authenticated MAC address with the user profile in the database.

Presence Detection and Behavioral Tracking

To trigger SMS messages based on return behaviour, the system must distinguish between active connections (users logged into the WiFi) and passive presence (devices with WiFi enabled but not logged in).

  • Active Connection Tracking: This relies on RADIUS accounting packets (Start, Interim-Update, and Stop). When a user connects, the RADIUS Start packet registers their presence. Interim-Update packets, sent at configured intervals (typically 15 minutes), confirm ongoing dwell time. A RADIUS Stop packet registers their departure.
  • Passive Presence Tracking: This utilises probe requests sent by mobile devices searching for known networks. Access Points capture these probe requests, recording the device's MAC address, timestamp, and Received Signal Strength Indicator (RSSI). If the device has previously registered through the captive portal, the system can identify the user's physical presence near the venue even if they do not log into the WiFi during that specific visit. To protect privacy, MAC addresses are cryptographically hashed (using SHA-256) immediately upon capture.

Integration Architecture and Webhooks

To initiate an SMS, the WiFi analytics engine must transmit data to an SMS gateway (such as Twilio, Sinch, or Link Mobility) in real time. This is achieved using webhooks or REST APIs.

+-------------------+       RADIUS       +---------------------+
|  Wireless Network | <----------------> |   Purple Platform   |
|  (APs / WLC)      |                    | (Analytics Engine)  |
+-------------------+                    +---------------------+
         |                                          |
         | Redirect                                 | Webhook (JSON)
         v                                          v
+-------------------+                    +---------------------+
|  Captive Portal   |                    |     SMS Gateway     |
|  (User Opt-in)    |                    |  (Twilio / Sinch)   |
+-------------------+                    +---------------------+
                                                    |
                                                    | SMPP / HTTP
                                                    v
                                         +---------------------+
                                         |   User Handset      |
                                         +---------------------+

When a behavioral rule is met - for example, a registered user has not been detected in the venue for 30 days - the Purple analytics engine generates an event. This event triggers a webhook that sends a POST request containing a JSON payload to the SMS gateway. The payload includes the recipient's phone number, the message body (populated with dynamic fields like first name and last visited location), and tracking parameters.

Implementation Guide

Deploying an automated SMS marketing system requires systematic configuration across your network infrastructure, the Purple platform, and your chosen SMS gateway.

Step 1: Configure the Captive Portal for Compliant Data Capture

  1. Log into the Purple Portal administration interface.
  2. Navigate to Form Builder and select your active splash page.
  3. Add a Phone Number field. Configure the field settings:
    • Set the field as Required.
    • Enable International Format Validation to force users to input their country code.
  4. Add a Consent Checkbox specifically for SMS marketing. This must be separate from the general terms and conditions checkbox.
    • Label text: "I agree to receive updates and exclusive offers via SMS. Max 2 messages per month. Reply STOP to opt-out."
    • Ensure the checkbox is unchecked by default.
  5. Save and publish the splash page changes.

Step 2: Establish the SMS Gateway Integration

This step configures the communication link between Purple and your SMS provider. This example assumes the use of Twilio.

  1. Obtain your Account SID, Auth Token, and a dedicated Messaging Service SID or phone number from your Twilio console.
  2. In the Purple Portal, navigate to Integrations > Connectors > Add New.
  3. Select Twilio from the list of supported SMS providers.
  4. Enter your Twilio credentials into the configuration fields.
  5. Test the connection by entering your own mobile number and clicking Send Test SMS. Verify that the message arrives and that the delivery status is logged as successful.

Step 3: Define Behavioral Segments and Triggers

To drive return visits, you must target users based on their physical behaviour. Create a segment for "Lapsed Visitors" who have not visited the venue in the last 30 days.

  1. In the Purple Portal, navigate to Analytics > Visitor Profiling > Segments.
  2. Click Create Segment and name it Lapsed_30_Days.
  3. Define the criteria:
    • Last Visit Date is greater than 30 days ago.
    • Total Visits is greater than or equal to 1 (ensuring they are a historical visitor).
    • SMS Opt-in is equal to True.
  4. Save the segment.

Step 4: Configure the Automated Campaign and Webhook Trigger

Now, link the segment to an automated action that fires when a user enters this state.

  1. Navigate to Marketing > Campaigns > Create Campaign.
  2. Select Triggered Campaign and choose the trigger event: Enter Segment (Lapsed_30_Days).
  3. Select SMS as the delivery channel.
  4. Draft the message template using dynamic placeholders to personalise the content:
    Hi {{visitor.first_name}}, we miss you at {{venue.name}}! Come back this week and show this text for 15% off your next purchase. Opt-out: {{sms.opt_out_link}}
    
  5. Configure Quiet Hours to prevent messages from sending during unsociable hours. Set the quiet window from 20:00 to 09:00 based on the venue's local time zone. Messages triggered during this window must be queued and sent the following morning.
  6. Set a Frequency Cap of 1 message per 30 days for this specific campaign to prevent over-communication.
  7. Activate the campaign.

Best Practices

To maximise return visits while maintaining high opt-in rates and network performance, adhere to the following industry standards.

Data Hygiene and Number Validation

Invalid phone numbers waste marketing budget and skew performance analytics. Implement real-time validation at the point of capture.

  • Use HLR Lookups: Before sending high-volume campaigns, configure your SMS gateway to perform Home Location Register (HLR) lookups. This queries the mobile network to verify if the number is active and currently routed, filtering out landlines and deactivated numbers.
  • Enforce E.164 Formatting: Ensure all numbers captured are stored in the international E.164 format (e.g., +447700900077). This prevents delivery failures when users travel internationally or when routing through global carriers.

Timing and Contextual Relevance

SMS is an intrusive channel. Sending messages at the wrong time leads to high opt-out rates.

  • Align with Historical Behaviour: If analytics show a user typically visits your venue on Friday afternoons, schedule their re-engagement SMS for Friday morning at 10:00. This places the incentive top-of-mind when they are planning their day.
  • Dwell Time Verification: Do not trigger "thank you" or feedback SMS messages immediately upon connection. Set a minimum dwell time threshold (e.g., 20 minutes) to ensure the user has actually spent time in the venue, rather than just walking past and briefly associating with the network.

Compliance and Privacy

Regulatory bodies heavily penalise non-compliant SMS marketing.

  • Explicit Consent: Never bundle SMS marketing consent with WiFi terms of service. It must be a distinct, affirmative action by the user.
  • Simple Opt-Out: Every SMS must contain a clear, free method for opting out. The standard is to support "STOP" replies or provide a shortened, zero-rated URL that processes the opt-out instantly. When a user opts out, their profile in the Purple database must be updated to SMS Opt-in = False within seconds to prevent subsequent sends.

Troubleshooting & Risk Mitigation

Issue 1: High SMS Delivery Failure Rates

  • Root Cause: Users entering fake phone numbers to bypass the captive portal and gain internet access.
  • Mitigation: Implement SMS Verification (Two-Factor Authentication) for WiFi access. Instead of granting immediate access upon form submission, send a 4-digit PIN via SMS to the entered number. The user must input this PIN into the captive portal to access the internet. This guarantees that only valid, owned mobile numbers are added to your database.

Issue 2: Webhook Latency and Queue Backlogs

  • Root Cause: During peak hours (e.g., halftime at a stadium or Saturday afternoon at a shopping centre), thousands of users may trigger events simultaneously, overwhelming the SMS gateway API.
  • Mitigation: Configure an asynchronous message queue (such as RabbitMQ or AWS SQS) between the Purple webhook output and the SMS gateway. This buffers the requests, allowing the system to process messages at a controlled rate without dropping payloads or hitting API rate limits.

Issue 3: MAC Randomisation Disrupting Return Metrics

  • Root Cause: Modern mobile operating systems (iOS 14+, Android 10+) randomise MAC addresses by default when scanning for networks, making it difficult to track return visits via passive probe requests.
  • Mitigation: Rely on authenticated data rather than passive probe data for high-accuracy campaigns. When a user logs into the captive portal, link their verified identity (phone number) to their current MAC address. If they return and log in again, the system matches the phone number, bypassing the limitations of MAC randomisation.

ROI & Business Impact

To justify the investment in WiFi-integrated SMS marketing, you must track specific metrics that demonstrate a direct correlation between SMS delivery and physical return visits.

Key Performance Indicators (KPIs)

  1. Return Visit Rate (RVR): The percentage of users who received an SMS and subsequently authenticated on the venue's WiFi within a defined attribution window (typically 7, 14, or 30 days). $$\text{RVR} = \left( \frac{\text{Number of SMS recipients who returned and authenticated}}{\text{Total SMS messages successfully delivered}} \right) \times 100$$
  2. Attribution Window Match: The system must correlate SMS delivery logs with RADIUS accounting logs. If a user receives an SMS on Tuesday and their MAC address registers a RADIUS Start packet on Thursday, this is counted as an attributed return visit.
  3. Cost Per Return Visit (CPRV): Calculate the total cost of SMS delivery divided by the number of attributed return visits. $$\text{CPRV} = \left( \frac{\text{Total SMS Cost}}{\text{Attributed Return Visits}} \right)$$ For example, if sending 10,000 SMS messages costs £200 (at £0.02 per message) and results in 400 return visits, the CPRV is £0.50. Compare this against the average customer lifetime value (LTV) or average transaction value to determine profitability.

Data-Driven Optimisation

By continuously analysing these metrics within the Purple dashboard, operations teams can run A/B tests on message copy, incentive values, and delivery timing. This iterative process ensures the SMS channel remains a highly efficient driver of footfall and revenue.

Key Definitions

Captive Portal

A web page displayed to newly connected users of a WiFi network before they are granted broader access to the internet, commonly used to capture user details and marketing consent.

It is the primary gateway for collecting verified mobile numbers and explicit marketing opt-ins.

RADIUS (Remote Authentication Dial-In User Service)

A networking protocol that provides centralised Authentication, Authorization, and Accounting (AAA) management for users who connect and use a network service.

It tracks when users log in and out of the WiFi, providing the raw session data used to calculate dwell time and visit frequency.

HLR (Home Location Register) Lookup

A real-time database query used to determine the status and validity of a mobile phone number before sending an SMS.

It prevents wasting marketing budget on invalid or inactive numbers captured during WiFi registration.

RSSI (Received Signal Strength Indicator)

A measurement of the power present in a received radio signal, used in WiFi analytics to estimate proximity to an Access Point.

It helps determine if a user is physically inside a venue or just passing by, preventing false SMS triggers.

Webhook

A method of altering the behaviour of a web page or web application with custom callbacks, used here to send real-time data from Purple to an SMS gateway.

It enables instantaneous communication between the WiFi analytics engine and the SMS delivery platform.

MAC Hashing

The process of converting a Media Access Control address into a secure, irreversible cryptographic string to protect user privacy while tracking return visits.

It ensures compliance with privacy regulations while still allowing the system to recognise returning devices.

Opt-in Rate

The percentage of WiFi users who explicitly agree to receive marketing communications during the captive portal registration process.

It is a key metric for measuring the health of your data collection funnel; low opt-in rates indicate poor portal design or unclear value propositions.

Attribution Window

The defined period of time (e.g., 7 days) after an SMS is sent during which a user's return to the venue is credited to that specific campaign.

It prevents over-attributing return visits that would have occurred naturally without the SMS incentive.

Worked Examples

A national retail chain with 150 stores wants to target 'lapsed' customers - defined as individuals who have registered via the WiFi captive portal in the past, but have not been detected at any store location for 45 days. They want to send an automated SMS offering a 10% discount code valid only for the upcoming weekend, triggered on a Thursday morning.

To implement this, the IT and marketing teams must execute the following configuration:

  1. Segment Creation: In the Purple Portal, create a dynamic segment named Lapsed_45_Days_Retail.
    • Criteria: Last Seen is greater than 45 days ago AND Opt-in SMS is equal to True.
  2. Campaign Setup: Create a scheduled campaign targeted at this segment.
    • Set the execution schedule to Weekly on Thursday at 09:30 AM.
    • This timing ensures the message is received as customers plan their weekend shopping.
  3. SMS Gateway Payload Configuration: Configure the webhook integration to Twilio. The webhook payload must pass the user's phone number, first name, and a unique, single-use coupon code generated by the retail chain's ERP system.
    • Webhook URL: https://api.twilio.com/2010-04-01/Accounts/{AccountSid}/Messages.json
    • Payload template:
      {
        "To": "{{visitor.phone_number}}",
        "From": "RETAILCO",
        "Body": "Hi {{visitor.first_name}}, we haven't seen you in a while! Enjoy 10% off this weekend with code {{coupon.code}}. Show this text at checkout. Opt-out: {{sms.opt_out_link}}"
      }
      
  4. Attribution Tracking: Configure the attribution window in Purple to 4 days (Thursday to Sunday). The system will monitor RADIUS logs across all 150 stores. Any MAC address associated with a recipient phone number that authenticates on the guest WiFi between Thursday 09:30 and Sunday 23:59 is flagged as an 'Attributed Return'.
Examiner's Commentary: This scenario demonstrates the power of combining temporal triggers (Thursday morning) with physical absence data (45 days). By setting the attribution window strictly to the weekend of the promotion, the retailer avoids false positives. Using a dedicated sender ID ('RETAILCO') increases trust and open rates, but requires pre-registration with telecommunications carriers in certain jurisdictions (e.g., the UK and EU).

A major exhibition centre hosting multi-day conferences wants to drive return visits to their on-site dining hall. They want to send an SMS voucher to attendees who connected to the WiFi on Day 1 of an event, but have not yet re-connected by 12:00 PM on Day 2, encouraging them to return for lunch.

This requires a highly time-sensitive, location-specific workflow:

  1. SSID and Location Mapping: Ensure the exhibition centre's APs are grouped by zone. The dining hall APs must be grouped into a zone named Dining_Zone, and the main exhibition halls into Exhibition_Zone.
  2. Segment Definition: Create a segment named Day_1_Attendees_Missing_Day_2.
    • Criteria: Connected to Exhibition_Zone yesterday AND has NOT connected to any zone today between 08:00 AM and 12:00 PM.
  3. Trigger Configuration: Set up a daily scheduled campaign to run at 12:05 PM during multi-day events.
    • Target: Day_1_Attendees_Missing_Day_2.
    • SMS Content: "Hungry, {{visitor.first_name}}? Skip the queues outside. Head back to the Central Dining Hall and get a free coffee with any lunch purchase. Show this text to redeem!"
  4. Redemption and Validation: To prevent fraud and track ROI, the dining hall POS (Point of Sale) system must be updated to accept the SMS promotion. When the cashier scans the barcode or inputs the code from the SMS, the POS logs the transaction. This data is later reconciled with the Purple SMS delivery logs to calculate direct revenue generated.
Examiner's Commentary: This is an excellent example of micro-segmentation based on real-time event dynamics. The timing (12:05 PM) is critical; it targets users exactly when they are deciding where to eat lunch. By restricting the segment to those who have not yet re-connected on Day 2, the venue avoids spending SMS credits on attendees who are already on-site and likely already planning to eat there.

Practice Questions

Q1. A stadium operations director wants to send an SMS coupon to attendees who connect to the WiFi during halftime. However, the SMS gateway experiences a 15-minute queue delay. How do you resolve this to ensure the message is received before the second half starts?

Hint: Consider the trigger mechanism and how to bypass the gateway queue during high-density events.

View model answer

To resolve this, you must bypass the standard shared SMS gateway queue and implement a dedicated short code or high-throughput toll-free number with your SMS provider, ensuring a higher Messages Per Second (MPS) rate. Additionally, configure the trigger in the Purple platform to fire 10 minutes before halftime, based on predictive session data or a scheduled event trigger tied to the stadium's match clock API, rather than waiting for the physical halftime connection spike. Finally, implement a strict 'expiration' parameter on the SMS payload so that if a message is delayed beyond the start of the second half, the carrier drops it rather than delivering an irrelevant message late.

Q2. A retail chain operates across multiple time zones. How should the IT team configure the webhook integration to ensure SMS messages do not violate local quiet hours?

Hint: Think about where the time zone data is stored and how the scheduling engine processes triggers.

View model answer

The IT team must ensure that the Purple platform is configured with the correct local time zone for each individual venue location (Called-Station-ID). When a behavioral trigger occurs, the Purple campaign engine must evaluate the local time of the specific venue where the user last registered before executing the webhook. If the local time falls within the defined quiet hours (e.g., 20:00 to 09:00), the platform must queue the webhook payload in a local buffer database. The scheduling engine must then release the queued webhooks sequentially starting at 09:30 AM local venue time the following morning.

Q3. A hotel chain notices a high bounce rate on their SMS campaigns. What technical verification steps should be implemented in the captive portal and SMS gateway integration to address this?

Hint: Address both input validation at the portal level and carrier-level verification.

View model answer

To address high bounce rates, implement a two-tier verification process. First, at the captive portal level, use regex validation to enforce the international E.164 format and prevent the submission of obviously fake sequences (e.g., '123456789'). Second, integrate a real-time HLR (Home Location Register) lookup API at the point of registration. When the user submits their number, the system performs a background check to verify if the number is active and capable of receiving SMS. If the HLR lookup returns a 'landline' or 'invalid' status, the captive portal displays an error message asking the user to provide a valid mobile number before internet access is granted.