From first visit
to second.

Among 239,633 first-time visitors recorded between January 1 and June 30, 2026, 52,030 had a subsequent qualifying Wi-Fi visit within 90 days. That represents 21.7% of the cohort. The remaining 78.3% had no recorded return within the observation window.

This is a finding about observable Wi-Fi visit behavior, not a claim about all customer visits or a measure of whether any technology caused people to return. That distinction is central to reading the research correctly.

Most first-time visitors did not record a return within 90 days

Every member of the cohort had a complete 90-day follow-up period, including when the follow-up extended beyond June 30. Cumulative recorded return rates rose from 11.3% within seven days to 21.7% within 90 days.

Return behavior is concentrated early, but not exclusively in the first month

Of the entire cohort, 11.3% recorded a first return within seven days. A further 6.3 percentage points first returned between days 8 and 30; another 2.4 points between days 31 and 60; and 1.7 points between days 61 and 90. Differences use rounded headline rates.

Among the 52,030 people who recorded a return within 90 days, 42,155 had already returned by day 30. In this observed sample, that means approximately 81% of 90-day returners had returned within the first month. This is a descriptive finding, not evidence that a universal 30-day marketing sequence is optimal.

What these findings mean for hospitality operators

For restaurants and cafés, the first customer visit is often the easiest to celebrate and the hardest to evaluate later. Launch activity, curiosity, location and convenience may all generate initial traffic. But how many of those guests become a regular part of demand is a separate question.

The Affinect results suggest three useful disciplines for operators.

Distinguish initial visits from repeat behavior

Gross visits can increase while the share of identifiable guests who return remains weak. A new venue should establish how it will recognize first-time visitors, subject to appropriate privacy and consent practices, and track their subsequent observable visits.

Track the return window, not just the database size

Counts of customer profiles measure reach into the identifiable audience. They do not tell an operator whether new visitors become repeat visitors. Cohort-based 7-, 30-, 60- and 90-day measurements make that distinction explicit.

Avoid confusing recognition with permission to market

A recorded Wi-Fi identity does not automatically mean a person opted into promotional email, WhatsApp or SMS. Recognizing visits, holding usable contact information and possessing valid channel-specific marketing permission are different measures and should be reported separately.

What this study does not establish

The data should not be interpreted as a restaurant customer retention benchmark. It covers 27 manually selected F&B-associated groups, not an independently sampled population of restaurants. Some groups have multiple venues or mixed activities. Results are pooled at the group level, meaning a recorded return could occur at another participating venue in the same group.

Likewise, this is Wi-Fi-observed behavior. A person may physically revisit a venue without connecting to guest Wi-Fi. The percentage with no recorded return therefore must not be described as the percentage who never came back. Multiple Wi-Fi sessions on the same day are counted as one visit in this analysis.

Finally, the study does not measure transaction value, profitability, marketing exposure, loyalty redemption or incremental visits caused by communications. It cannot establish that collecting guest data or using Affinect improves return rates. Those outcomes require additional analysis with appropriate comparison groups.

A practical measurement approach from day one

A business does not need an elaborate loyalty program to begin learning about its guests. It needs a measurement setup that can be maintained during ordinary service.

• Before opening: choose an unobtrusive identification path, define data ownership, confirm consent wording, and assign responsibility for reviewing guest metrics.
• During the first month: measure first-time identified visitors, record visit quality and gather feedback without assuming every guest should receive a discount.
• During months two and three: examine first-to-second recorded returns at consistent intervals, compare suitable guest cohorts and test relevant follow-up only where permission allows.
• By month six: decide whether loyalty, offers or additional channels solve a demonstrated problem, rather than installing them solely because they are available.

These steps improve an operator's ability to observe and act on guest behavior. They do not substitute for product quality, service consistency, value or location, all of which affect why people return.

Source: Affinect internal first-visit cohort report (January 1–June 30, 2026), manually curated F&B-associated group sample. Methodological definitions and 90-day completeness verified by the Affinect data team, October 2026.