Skip to main content

How to leverage SMS for marketing examples to increase return visits

This technical guide explains how venue operators can build compliant SMS marketing campaigns using Guest WiFi data to drive measurable increases in return visits. It covers deployment architecture, data capture via captive portals, behavioural segmentation, and GDPR/PECR compliance requirements.

📖 4 min read📝 874 words🔧 2 worked examples3 practice questions📚 8 key definitions

Listen to this guide

View podcast transcript
PODCAST SCRIPT: How to use SMS for marketing examples to increase return visits Duration: approximately 10 minutes Voice: UK English, senior consultant tone - confident, conversational, authoritative --- INTRODUCTION AND CONTEXT - approximately 1 minute Welcome back. I'm speaking with you today as a senior consultant at Purple, and we're going to talk about something that a lot of venue operators are sitting on without realising it - a direct line to their guests, shoppers, and fans that delivers a 98% open rate and up to 41 pounds return for every pound spent. That channel is SMS. And before you say "we already do email" - hear me out. Because the numbers between SMS and email are not even close. Email sits at around a 20 to 30% open rate. SMS? 98%. And 90% of those messages are read within three minutes of delivery. The question isn't whether SMS works. The data is settled on that. The question is: how do venue operators - hotels, retail chains, stadiums, conference centres - actually build a compliant, scalable SMS programme that drives measurable return visits? That's what we're covering today. --- TECHNICAL DEEP-DIVE - approximately 5 minutes Let's start with the data problem. Most SMS marketing programmes fail not because of the channel, but because of the data behind them. You cannot run effective SMS campaigns without verified, consented phone numbers. And the best place to capture those at scale, in a venue context, is at the WiFi login. Here's how it works. When a guest, shopper, or fan connects to your Guest WiFi, they authenticate through a captive portal. That portal collects their phone number as part of the login flow. Critically, it also captures explicit consent - a conscious-choice opt-in - for SMS marketing communications. This is the foundation of a GDPR-compliant SMS programme. Purple Engage does exactly this. It captures verified phone data at the point of WiFi login across 80,000 plus live venues, and it automates the campaign workflows that follow. The phone number is verified because the guest has to receive a one-time passcode to complete the login. That means no fake numbers, no typos, no dead ends. Now, once you have that verified, consented first-party data, you can segment it. And segmentation is where SMS marketing gets genuinely interesting for venue operators. Think about a 200-room hotel. Every guest who connects to your WiFi is now in your database. You can segment by: first-time visitor versus returning guest, length of stay, day of week, whether they visited the spa or the restaurant. Each of those segments gets a different message, at a different time, with a different offer. A first-time guest gets a welcome message with a 10% discount on their next booking, sent 48 hours after checkout. A returning guest who has stayed three or more times gets an early access offer for a loyalty rate. A guest who visited the restaurant gets a message about a new seasonal menu. This is not spray-and-pray marketing. This is behavioural segmentation built on first-party data you already own. Let me give you a retail example. A fashion retailer with 50 stores across the UK captures phone numbers at WiFi login in every location. They segment shoppers by store location, visit frequency, and recency. A shopper who visited a Manchester store two weeks ago and hasn't been back gets an SMS: "You left something behind - 20% off this weekend only." That message goes out on a Thursday afternoon, timed for peak weekend shopping intent. The result? A 22% redemption rate on that offer, compared to a 3% redemption rate on the equivalent email campaign. Same offer, same audience, different channel. Now let's talk about the technical architecture. There are three layers to a well-built SMS marketing programme. Layer one is data capture. This is your WiFi infrastructure - Cisco Meraki, HPE Aruba, Ruckus, Juniper Mist, Ubiquiti UniFi - connected to a cloud overlay platform like Purple. The captive portal handles authentication and consent capture. The data flows into a centralised guest profile. Layer two is the data platform. This is where segmentation happens. You need a platform that can ingest WiFi login data, cross-reference it with visit history, and apply behavioural rules to build dynamic audience segments. Purple's analytics platform does this natively, and it integrates with CRM systems like Salesforce and HubSpot via standard API connections. Layer three is the SMS delivery layer. This is your SMS gateway - providers like Twilio, MessageBird, or Vonage - connected to your campaign automation rules. When a segment condition is met, the campaign fires automatically. No manual intervention required. The compliance architecture matters here. Under GDPR and PECR in the UK, you need explicit consent for SMS marketing. That consent must be granular - separate from general terms and conditions - and it must be recorded with a timestamp and source. Purple's captive portal handles all of this, and the consent records are stored and auditable. --- IMPLEMENTATION RECOMMENDATIONS AND PITFALLS - approximately 2 minutes Right. Let's talk about what goes wrong, because I see the same mistakes repeatedly. Pitfall one: treating SMS like email. SMS is not a long-form channel. Your message needs to be under 160 characters, have a single clear call to action, and include an opt-out instruction. "Reply STOP to unsubscribe" is not optional - it's a legal requirement under PECR. If you're writing SMS copy that reads like an email newsletter, you've already lost. Pitfall two: sending too frequently. The research is clear - 53% of SMS unsubscribes happen because of over-frequency. For most venue operators, one to two messages per month per segment is the right cadence. More than that, and you're eroding the list you worked hard to build. Pitfall three: not testing send times. SMS is an immediate channel - 90% of messages are read within three minutes. That means timing matters enormously. A hotel sending a restaurant offer at 9am on a Tuesday will see dramatically lower conversion than the same message sent at 5pm on a Friday. Test your send windows. The data will tell you when your audience is receptive. Pitfall four: skipping the attribution layer. If you can't track which SMS campaign drove which return visit, you can't optimise and you can't justify the budget. Use unique short links, UTM parameters, or redemption codes in every message. Purple's analytics platform tracks campaign attribution natively, so you can see the direct line between an SMS send and a venue visit. My implementation recommendation: start with one segment and one campaign type. Don't try to build the full programme in week one. Pick your highest-value segment - returning guests who haven't visited in 30 days, for example - and build a single re-engagement campaign. Measure it. Optimise it. Then scale. --- RAPID-FIRE Q AND A - approximately 1 minute Let me run through the questions I get most often. "Do we need a separate SMS platform?" Not necessarily. If you're using Purple Engage, SMS campaign automation is built in. You only need a separate SMS gateway integration if you're sending at very high volume or need carrier-specific routing. "What's a realistic return visit uplift from SMS?" Based on Purple's data across hospitality and retail venues, a well-segmented re-engagement SMS campaign typically drives a 15 to 25% increase in return visit rate within 90 days of launch. "How do we handle international guests?" You need to ensure your SMS gateway supports international number formatting and that your consent capture is compliant with the relevant jurisdiction - GDPR for Europe, CCPA for California, and so on. Purple's platform handles multi-jurisdiction consent natively. "What's the minimum viable list size?" You can run effective campaigns with as few as 500 verified, consented contacts. The key is segmentation quality, not list size. --- SUMMARY AND NEXT STEPS - approximately 1 minute Let me bring this together. SMS delivers a 98% open rate, a 45% response rate, and up to 41 pounds ROI per pound spent. Those numbers are not achievable without verified, consented first-party data - and the best place to capture that data at venue scale is at the WiFi login. The architecture is three layers: data capture at the WiFi portal, behavioural segmentation in the data platform, and automated campaign delivery via SMS gateway. Purple Engage handles all three layers natively, with built-in GDPR and PECR compliance. Start with one segment. Build one campaign. Measure the return visit uplift. Then scale. If you want to see how this works in practice, visit purple.ai and look at the Engage plan. You can also explore our WiFi Analytics platform to understand what guest data you're already sitting on. Thanks for listening. We'll be back next time with more practical guidance for venue operators and IT teams who want to get more from their Guest WiFi infrastructure. --- END OF SCRIPT

header_image.png

Executive Summary

Venue operators sit on a massive, underutilised asset: the physical presence of their visitors. While most venues offer Guest WiFi, many fail to capture the verified first-party data required to drive measurable return visits. This guide details how to implement an SMS marketing architecture that captures verified phone numbers at the point of WiFi login, secures explicit consent, and automates behavioural campaigns.

SMS delivers a 98% open rate, with 90% of messages read within three minutes. When executed correctly, SMS campaigns generate up to $41 return for every $1 spent. This technical reference provides IT managers and venue operators with the architecture, deployment steps, and compliance frameworks required to build a scalable SMS marketing programme using Purple Engage.

Technical Deep-Dive

The Data Capture Architecture

The foundation of any SMS marketing programme is verified, consented first-party data. Purchasing lists or scraping numbers violates GDPR and PECR regulations and guarantees low engagement. The most effective data capture mechanism in a physical venue is the Guest WiFi captive portal.

When a visitor connects to the network, the authentication flow requires them to enter a mobile number. To verify this number, the system sends a one-time passcode (OTP) via SMS. The visitor must enter this OTP to gain internet access. This process ensures the database contains zero fake numbers. During this flow, the portal presents a conscious-choice opt-in checkbox for SMS marketing, satisfying legal consent requirements.

sms_data_flow_architecture.png

Behavioural Segmentation

Once data enters the Customer data management platform: a comprehensive guide for businesses , you must segment it. Sending the same message to your entire database causes high opt-out rates. Purple's analytics engine allows operators to build dynamic segments based on network data:

  1. Visit Frequency: First-time visitors, occasional visitors, loyal visitors.
  2. Dwell Time: Visitors who stay for 10 minutes versus those who stay for three hours.
  3. Location Data: Visitors who enter specific zones (e.g., the hotel spa or the stadium merchandise store).
  4. Recency: Visitors who have not connected to the network in 30, 60, or 90 days.

SMS vs Email Performance

The technical argument for SMS over email relies on delivery speed and open rates. As shown below, SMS significantly outperforms email across all engagement metrics.

sms_vs_email_comparison.png

Implementation Guide

Step 1: Configure the Captive Portal

Deploy a custom captive portal across your hardware infrastructure (Cisco Meraki, HPE Aruba, Ruckus, Juniper Mist, Ubiquiti UniFi). Configure the authentication method to 'SMS OTP'. Add a clear, un-ticked checkbox for marketing consent.

Step 2: Define the Segments

Navigate to the Purple WiFi Analytics dashboard. Create three initial segments to test the architecture:

  • Segment A: First-time visitors who stayed longer than 60 minutes.
  • Segment B: Returning visitors who have not visited in 45 days.
  • Segment C: High-frequency visitors (more than 5 visits).

Step 3: Build the Automation Rules

In Purple Engage, create a triggered campaign for Segment B (the 'Win-Back' campaign). Set the trigger condition: Days since last visit = 45. Set the delivery channel to SMS.

Step 4: Craft the Payload

Write a 160-character message. Include a clear offer, a trackable short link, and the mandatory opt-out instruction. Example: "We miss you at Grand Hotel! Enjoy 15% off dinner tonight at our rooftop restaurant. Tap to book: https://grnd.ht/abc Reply STOP to opt out."

Best Practices

Troubleshooting & Risk Mitigation

Failure Mode 1: High Opt-Out Rates

  • Cause: Sending generic broadcast messages instead of segmented, relevant offers.
  • Mitigation: Implement strict behavioural rules. Only send messages triggered by specific venue actions.

Failure Mode 2: Low Conversion on Links

  • Cause: Sending campaigns at the wrong time of day.
  • Mitigation: Use Purple's footfall analytics to identify peak engagement windows for your specific venue type.

Failure Mode 3: Compliance Breaches

  • Cause: Bundling marketing consent with general terms and conditions.
  • Mitigation: Ensure the captive portal uses a separate, explicit opt-in checkbox for SMS marketing, compliant with GDPR and PECR.

ROI & Business Impact

To measure the success of an SMS marketing deployment, track the return visit rate. Use unique redemption codes or trackable short links in the SMS payload. When the visitor returns to the venue and connects to the WiFi, Purple's analytics engine logs the visit.

By comparing the return rate of the segment that received the SMS against a control group that did not, operators can calculate the exact revenue impact of the campaign. At an average ROI of $41 per $1 spent, SMS marketing funded by WiFi data capture represents one of the highest-yield investments available to physical venues.

Key Definitions

First-Party Data

Information a company collects directly from its customers or venue visitors, such as phone numbers captured during WiFi login.

First-party data is highly accurate and legally compliant, unlike purchased third-party lists.

Captive Portal

A web page that a user must view and interact with before accessing a public WiFi network.

The captive portal is the primary mechanism for authenticating users and capturing marketing consent.

Conscious-Choice Opt-In

A clear, affirmative action by a user to consent to marketing communications, typically an un-ticked checkbox.

Required for GDPR and PECR compliance; pre-ticked boxes or bundled consent are illegal.

SMS Gateway

A telecommunications network facility for sending and receiving Short Message Service (SMS) transmissions to or from a telecommunications network.

The delivery layer that routes the automated campaigns from Purple Engage to the user's mobile carrier.

Behavioural Segmentation

Dividing a database into groups based on their actions, such as visit frequency, dwell time, or location within a venue.

Essential for ensuring SMS campaigns are relevant to the recipient, thereby maintaining high engagement rates.

PECR

Privacy and Electronic Communications Regulations; UK laws governing electronic marketing, including SMS and email.

Dictates that organisations must have explicit consent to send marketing text messages.

One-Time Passcode (OTP)

An automatically generated numeric or alphanumeric string of characters that authenticates a user for a single transaction or login session.

Used during WiFi login to verify that the phone number provided by the user is legitimate and active.

Return Visit Rate

The percentage of visitors who return to a venue within a specific timeframe after their initial visit.

The primary metric used to calculate the ROI of venue-based SMS marketing campaigns.

Worked Examples

A 200-room hotel needs to increase bookings for its on-site restaurant on Tuesday evenings. The hotel captures 500 verified phone numbers per week via its Guest WiFi.

  1. In Purple Engage, build a segment targeting guests currently checked in (connected to WiFi in the last 24 hours). 2. Filter this segment to exclude guests who connected to the access points located inside the restaurant. 3. Schedule an automated SMS to fire at 4:00 PM on Tuesday. 4. Message payload: 'Enjoy a complimentary glass of wine with dinner tonight at The Brasserie. Show this text to your server. Reply STOP to opt out.'
Examiner's Commentary: This approach works because it uses location-based segmentation to target only guests who are on-site but have not yet visited the restaurant. The 4:00 PM delivery time intercepts the guest's dinner decision-making process.

A national fashion retailer with 50 stores wants to re-engage shoppers who have not visited a physical location in 60 days.

  1. Access the Purple analytics platform. 2. Create a segment rule: 'Last seen > 60 days'. 3. Filter by specific store location to ensure the offer is geographically relevant. 4. Trigger an SMS campaign on Thursday at 5:00 PM. 5. Message payload: 'We haven't seen you lately! Get 20% off your entire purchase this weekend at our Manchester store. Link: https://rtl.co/abc Reply STOP to opt out.'
Examiner's Commentary: This 'win-back' campaign leverages recency data captured passively by the WiFi network. The Thursday afternoon timing aligns with weekend shopping intent, and the trackable link allows the retailer to measure online engagement even if the shopper does not visit the physical store.

Practice Questions

Q1. A stadium operator wants to send an SMS campaign to all fans immediately after a match ends, offering a discount on merchandise. They plan to use a list of phone numbers purchased from a third-party data broker. Evaluate this approach.

Hint: Consider the legal requirements for SMS marketing consent.

View model answer

This approach violates GDPR and PECR regulations. The stadium operator does not have explicit, conscious-choice opt-in consent from the individuals on the purchased list. Furthermore, unsolicited SMS messages result in high opt-out rates and damage brand reputation. The operator should instead deploy a Guest WiFi captive portal to capture verified, consented first-party data from fans while they are inside the stadium.

Q2. Your hotel has captured 10,000 verified phone numbers with marketing consent via Guest WiFi. The marketing director wants to send a weekly SMS to the entire list promoting the Sunday carvery. Why is this problematic, and what is the recommended alternative?

Hint: Consider the impact of frequency and segmentation on SMS engagement.

View model answer

Sending a weekly broadcast message to the entire database will cause severe list fatigue and drive the opt-out rate above acceptable levels (typically >3%). SMS is an immediate, high-trust channel that demands relevance. The recommended alternative is behavioural segmentation. The hotel should filter the database to target only guests who have previously visited the restaurant or who are currently on-site over the weekend, and limit the frequency to a maximum of two messages per month per segment.

Q3. A retail chain has launched an SMS 'win-back' campaign targeting shoppers who have not visited in 90 days. The campaign includes the message: 'We miss you! Come back and see our new collection.' The campaign shows a 98% open rate but a 0% measurable return visit rate. Identify the missing component.

Hint: How do you track the physical or digital impact of an SMS?

View model answer

The campaign lacks an attribution layer. Without a trackable short link or a unique redemption code in the SMS payload, the retailer cannot measure whether the message drove a digital action or a physical return visit. To fix this, the payload must include a trackable element, and the retailer must use the WiFi analytics platform to correlate the SMS send with a subsequent network login by that specific user.