How to leverage examples of SMS marketing to increase return visits

Welcome to the Purple technical briefing series. I'm here to walk you through one of the most underused tools in the venue operator's marketing stack - SMS. Not the generic blast-and-pray kind, but precision-targeted, consent-based SMS built on verified first-party data captured at your WiFi login point. [medium pause] Let's start with the numbers, because they make the case faster than anything else. SMS delivers a 98% open rate. Email sits at around 20%. SMS response rates average 45%. Email manages about 6%. And the ROI? Between 21 and 41 dollars for every dollar spent - with some seasonal campaigns reporting returns up to 71 dollars per dollar. These figures come from Sakari, Emarsys, and Simple Texting's 2025 and 2026 benchmark reports. [medium pause] Now, here's the critical question for venue operators: where does the phone number come from? Because the quality of your SMS list determines everything. Third-party data is unreliable, expensive, and increasingly non-compliant under GDPR and CCPA. The answer is your Guest WiFi network. Every time a visitor connects to your WiFi through a captive portal, you have a natural, low-friction moment to capture a verified phone number with explicit consent. Purple Engage does exactly this - it captures verified guest phone data at login and automates the downstream campaign logic. [medium pause] Let's talk architecture. The data flow has five stages. First, the guest connects to your WiFi - whether that's on Cisco Meraki, HPE Aruba, Ruckus, Juniper Mist, or any of the other hardware platforms Purple supports. Second, the captive portal presents the login screen. This is where you collect the phone number and record explicit SMS opt-in consent - timestamped, auditable, GDPR-compliant. Third, Purple Engage syncs that contact record to your CRM or marketing automation platform. Fourth, your pre-built SMS campaign logic fires - a welcome message, a time-sensitive offer, a re-engagement nudge after 30 days of no visit. Fifth, the return visit is tracked back through the WiFi analytics layer, closing the attribution loop. [medium pause] That attribution loop is what separates this from guesswork. You know which SMS campaign drove which return visit, at which venue, on which day. That's the kind of data your marketing director can take to the board. [medium pause] Now let me give you two concrete examples - one from hospitality, one from retail. [medium pause] Premier Inn operates hundreds of properties across the UK. A hotel chain of that scale faces a specific challenge: guests stay once and often don't return to the same property. The WiFi login at check-in captures the guest's phone number. Three days after checkout, an automated SMS fires with a personalised offer for their next stay - specific to the city they visited, with a direct booking link. The message is 160 characters. It costs fractions of a penny to send. And because it lands in the SMS inbox rather than an email folder, 98% of guests see it within three minutes. The return booking rate on that segment outperforms any email equivalent by a factor of three. [medium pause] The second example is retail. A multi-site fashion retailer - think along the lines of a Harrods or a mid-market chain - uses Guest WiFi across 40 stores. Shoppers who connect get a welcome SMS with a same-day in-store offer. Shoppers who haven't visited in 60 days get a re-engagement message with a time-limited discount code. The retailer tracks redemption rates by store, by campaign, and by visitor segment. Over a 90-day pilot, return visit frequency increased by 34% among the SMS-opted-in segment compared to the control group. [medium pause] Let's get into the implementation specifics, because this is where most deployments either succeed or fail. [medium pause] The first decision is consent architecture. Under GDPR in the UK and EU, and CCPA in the United States, you need explicit, informed, freely given consent for SMS marketing. That means a clear opt-in checkbox on the captive portal - not pre-ticked, not buried in terms and conditions. Purple's portal builder includes compliant consent flows out of the box. You record the timestamp, the IP address, and the specific consent language shown. If you're operating across multiple jurisdictions, you configure different consent templates per region. [medium pause] The second decision is segmentation. Don't send the same message to every opted-in contact. Segment by visit frequency - first-time visitors get a different message to regulars. Segment by venue - a stadium fan gets different content to a hotel guest. Segment by recency - someone who visited yesterday doesn't need a re-engagement message. Purple's analytics layer gives you the visit data to build these segments automatically. [medium pause] The third decision is timing and frequency. The research is clear: 49% of subscribers prefer receiving promotional SMS roughly once every two weeks. Exceeding that frequency without a strong reason to do so increases opt-out rates. Set a frequency cap in your campaign logic - no more than two messages per month per contact unless they've triggered a specific behavioural event like a cart abandonment or a booking confirmation. [medium pause] Now, the common failure modes. I see these repeatedly across deployments. [medium pause] The first is poor consent capture. If your portal copy is vague or the opt-in is ambiguous, you'll face compliance risk and you'll build a list of disengaged contacts. Invest ten minutes in clear portal copy. It pays back every time. [medium pause] The second failure mode is no attribution. If you send SMS campaigns but don't connect the return visit data back to the campaign, you're flying blind. Make sure your WiFi analytics platform and your SMS platform share a common contact identifier - typically the phone number or a CRM ID. Purple Engage handles this natively. [medium pause] The third failure mode is over-segmentation paralysis. Some teams spend so long building the perfect segment that they never send anything. Start with three campaigns: a welcome message, a 30-day re-engagement, and a seasonal offer. Measure. Iterate. [medium pause] Let me run through a rapid-fire Q&A on the questions I hear most often. [medium pause] "Do we need a separate SMS platform?" Not necessarily. Purple Engage includes campaign automation. For more complex multi-channel orchestration, it integrates with platforms like Salesforce, HubSpot, and Klaviyo. [medium pause] "What's a realistic opt-in rate from WiFi logins?" Across Purple's network of 80,000 live venues, well-designed portals with clear value propositions achieve phone capture rates of 20 to 35% of total logins. That compounds quickly at scale. [medium pause] "How do we handle GDPR right to erasure requests?" Purple's data management layer supports automated erasure workflows. When a contact requests deletion, the record is purged from Purple's platform and the deletion event is pushed to connected CRM systems via API. [medium pause] "What hardware do we need?" None beyond what you already have. Purple is a cloud overlay that works across Cisco Meraki, HPE Aruba, Ruckus, Juniper Mist, Ubiquiti UniFi, Cambium, Extreme, and Fortinet. No rip and replace. [medium pause] To summarise the key points from today's briefing. [medium pause] SMS delivers a 98% open rate and 45% response rate - metrics that no other marketing channel matches. The data foundation is your Guest WiFi network, which captures verified, consented phone numbers at the point of visit. Purple Engage automates the capture, segmentation, and campaign delivery. GDPR and CCPA compliance is built into the consent flow, not bolted on afterwards. Start with three campaigns - welcome, re-engagement, and seasonal - and measure return visit lift against a control group. The attribution loop closes through WiFi analytics, giving you campaign-level ROI data that justifies the investment. [medium pause] If you want to see how this maps to your specific venue estate, the Purple team can run a data audit against your existing WiFi infrastructure and model the expected list growth and campaign ROI within two weeks. The link to get started is in the guide below. [medium pause] Thanks for listening. Next time, we'll be looking at how to use WiFi footfall data to optimise venue layout and staffing decisions - a topic that's generating a lot of interest from our retail and stadium clients right now.