A 21-month Google Business Profile analysis of an e-bike rental business in Poland’s Beskid Niski region (June 2024–February 2026) reveals that winter visitors convert from profile view to direction request at 2.5x the rate of summer visitors—yet calls nearly vanish in winter. The data suggests that seasonal businesses may be misreading low-traffic months as low-intent months.
Most local SEO advice treats Google Business Profile (GBP) performance as a traffic problem. Get more views, get more customers. But what if the relationship between visibility and conversion is far more nuanced than that—and what if your quietest months are hiding your most committed visitors?
This case study examines 21 months of real GBP data from an e-bike rental business operating near Magura National Park in Poland’s Beskid Niski mountain region. The data was collected using Localo’s Statistics feature and covers the period from June 2024 through February 2026. It tracks five core metrics: profile views, direction requests, calls, website clicks, and content publishing patterns.
The findings don’t just tell the story of one seasonal business. They raise questions that any local SEO practitioner working with tourism, hospitality, or outdoor recreation clients should be sitting with.
Profile Views Follow a Predictable Seasonal Curve
The most intuitive finding in the dataset is also the most consistent: profile views track the tourism season almost perfectly.
Views peak in summer—June through August—and bottom out in the winter months of December through February. Across both summers in the dataset (2024 and 2025), the business saw its highest monthly view counts. Across both winters, views dropped sharply.
This is exactly what you’d expect for an outdoor e-bike rental in a mountain region. The Beskid Niski area sees the bulk of its tourist activity during the warmer months. When tourists stop coming, people stop searching. When people stop searching, views fall.
What makes this worth noting isn’t the pattern itself—it’s how cleanly it repeats. The seasonal curve from summer 2024 to winter 2024/2025 mirrors the curve from summer 2025 into winter 2025/2026 closely enough to function as a predictable model. For a business of this type, GBP visibility is essentially a weather forecast.
That predictability has practical implications. If you manage GBP for seasonal businesses, you can anticipate traffic windows with reasonable confidence and plan content and optimization activity around them—rather than reacting after the fact
Calls and Website Clicks Nearly Disappear in Winter, Even While Direction Requests Continue
Here’s where the data gets interesting.
Calls and website clicks follow the seasonal view curve closely. When views drop in winter, both metrics fall with them—dramatically. Across the eight winter months in the dataset, the business received just 3 total calls. Website clicks showed a similarly steep decline.
Direction requests, however, behave differently.
They drop in winter, yes. But they don’t disappear. Visitors are still requesting directions to this e-bike rental in December, January, and February—months when the business is effectively closed or operating at minimal capacity.
This divergence raises a question that the dataset alone can’t fully answer: who are these winter visitors, and what do they want when they get there?
Direction Requests Don’t Follow the Same Pattern as Profile Views
The gap between how views and direction requests respond to seasonal change is one of the most analytically rich parts of this dataset.
In summer, direction requests scale roughly in proportion to views. High views, high direction requests—as you’d expect when a large volume of tourists are actively planning a rental.
In winter, something different happens. Views collapse, but direction requests hold at a disproportionately higher rate relative to those views.
Put another way: the people who do find this business profile in winter are far more likely to ask for directions than the people who find it in summer.
This could reflect a change in who is searching. Summer searchers may include a high proportion of casual browsers—people who see the business, consider it, and move on. Winter searchers may skew toward people with a specific, immediate intent: locals, off-season hikers, or visitors with a clear destination already in mind.
Winter Visitors Convert from View to Direction Request at 2.5x the Summer Rate
This is the headline finding of the study, and it deserves precise framing.
When you calculate direction requests as a percentage of profile views, the winter months produce a conversion rate of approximately 42.7%. The summer months produce approximately 17.0%. That’s a 2.5x difference in conversion rate, despite winter having a fraction of the raw traffic volume.
To put that in concrete terms: for every 100 people who viewed this business profile in winter, roughly 43 requested directions. In summer, the same 100 views produced only 17 direction requests.
For local SEO, this matters because it challenges a core assumption—that more views equals more value. In this case, fewer views in winter are producing a higher-intent audience. If you were optimizing purely for impressions or views, you’d consider winter a dead period. The direction request data suggests it isn’t.
This doesn’t mean winter traffic should be treated the same as summer traffic. The absolute numbers are still much lower. But the quality of that traffic—at least as measured by direction request conversion—appears to be meaningfully higher.
The Gap Between Direction Requests and Calls Suggests a Conversion Barrier
Across the eight winter months in the dataset, the business received 377 direction requests and just 3 calls.
That gap is striking. Direction requests imply physical intent—someone is getting ready to navigate to the location. Calls imply verbal contact, typically a stronger signal of transactional intent. The fact that direction requests continue through winter while calls nearly disappear suggests these two groups of visitors have fundamentally different profiles.
One plausible explanation: winter direction requesters are not intending to rent bikes. They may be driving through the area, using the GBP pin as a navigation waypoint, or simply orienting themselves in an unfamiliar region. They find the profile useful as a geographic reference point—not as a service provider.
Another possibility: the business’s winter hours or availability information on the profile may be signaling that it’s closed or not taking bookings, which suppresses call intent even among visitors who might otherwise inquire.
A third factor worth considering is platform behavior. Google Maps users requesting directions are often in navigation mode—focused on getting somewhere, not on making a call. The context in which they encounter the profile may not naturally prompt a phone interaction.
Whatever the cause, this gap represents a potential conversion barrier. For local SEO practitioners, it’s worth investigating whether profile optimizations—clearer seasonal hours, a seasonal landing page, or a booking link—could capture some of that direction request volume as actual customer inquiries.
The Same Pattern Repeated Across Two Winters
One of the stronger aspects of this dataset is its duration. Twenty-one months is long enough to observe the seasonal cycle twice—two summers, two winters—and to assess whether the patterns are consistent or anomalous.
They are consistent.
Both winters show the same collapse in views, the same near-disappearance of calls and website clicks, and the same disproportionate persistence of direction requests. Both summers show elevated views and the lower (but still significant) direction request conversion rate of around 17%.
This repetition strengthens confidence in the findings. The 2.5x winter conversion rate isn’t a quirk of a single unusual month—it’s a pattern that held across two separate winter seasons with different underlying conditions (different content publishing activity, different year-over-year context).
For local SEO, consistency across multiple cycles is what separates an insight from a data artifact. This one holds.
What the Content Publishing Data Tells Us?
The dataset also captures content publishing patterns—when posts, photos, or other profile updates were published across the 21-month period.
The publishing activity was not uniform. Content was published more heavily during certain periods, with gaps during others. Without disclosing the full publishing calendar, the data shows enough variation to draw a few cautious observations.
First, there’s no clear evidence in this dataset that spikes in content publishing directly caused spikes in profile views. The seasonal curve in views tracks tourist season more closely than it tracks publishing activity. This aligns with what most local SEO practitioners already understand: for tourism businesses, demand is largely externally driven. Profile optimization supports discovery, but it doesn’t manufacture demand.
Second, the winters with low publishing activity still produced direction requests. This suggests that for a well-established GBP in a low-competition niche, organic presence can persist even during periods of reduced content activity.
Third—and this is speculative—there may be an opportunity cost in not publishing during high-intent winter periods. If winter visitors are converting to direction requests at 2.5x the summer rate, serving them more relevant content (winter trails, nearby points of interest, off-season availability) might convert some of those navigation interactions into actual bookings.
What This Case Study Tells Us—and What It Doesn’t?
Key findings from the 21-month analysis
- GBP profile views for this seasonal business follow a highly predictable tourist-season curve that repeats year over year.
- Calls and website clicks track closely with views and nearly disappear in winter.
- Direction requests are more persistent through winter than other conversion metrics.
- Winter visitors convert from view to direction request at 42.7%, compared to 17.0% in summer—a 2.5x difference.
- Across eight winter months, the business received 377 direction requests and only 3 calls, suggesting a significant gap between navigation intent and transactional intent.
- The patterns repeated consistently across two separate winter cycles.
What the data doesn’t show
This dataset tracks GBP actions—it doesn’t track what happened after those actions. We don’t know how many of the 377 winter direction requests resulted in an actual visit. We don’t know whether those visitors found the business open, found it useful as a landmark, or simply drove past.
We also don’t have benchmark data from comparable businesses. Is a 42.7% winter direction request rate unusually high for an e-bike rental in a mountain region? Without comparison data, it’s difficult to say.
And we don’t know what would happen if the business actively optimized for winter intent—more targeted content, clearer off-season messaging, a booking inquiry form. The data identifies the opportunity. It doesn’t tell us how large that opportunity is.
What it does tell us is that the conventional wisdom—”winter is dead for seasonal businesses”—may be incomplete. The audience doesn’t disappear. Its behavior changes. And if local SEO strategy doesn’t account for that behavioral shift, it’s leaving something on the table.
Frequently Asked Questions
What is a Google Business Profile view-to-direction-request conversion rate?
A Google Business Profile view-to-direction-request conversion rate measures how often someone who views a business profile goes on to request directions to that location. It’s calculated by dividing the number of direction requests by the total number of profile views in a given period. This metric helps assess how much of a profile’s audience has physical visit intent, rather than just passive curiosity.
Why do direction requests sometimes persist in winter even when profile views drop sharply?
Direction requests can persist in low-traffic seasons because the audience composition changes. When overall search volume falls, the remaining searchers tend to be higher-intent—locals, off-season visitors, or people with a specific destination in mind. This can produce higher direction request rates relative to views, even when the absolute number of both metrics is low.
What does it mean when direction requests are high but calls are very low?
A large gap between direction requests and calls typically signals a difference in visitor intent or profile stage. Direction request users may be in navigation mode—focused on getting to a location physically—rather than in a decision-making or inquiry phase. It can also reflect profile settings, such as unclear business hours or absence of a booking prompt, that don’t naturally guide visitors toward making a call.
How was the data in this case study collected?
The data was collected using Localo’s Statistics feature, which tracks key Google Business Profile actions including views, direction requests, calls, and website clicks over time. The dataset covers 21 months of activity for an e-bike rental business in the Beskid Niski region of Poland, from June 2024 through February 2026.
Should seasonal businesses invest in Google Business Profile optimization during off-season months?
Based on this case study, the answer is nuanced. While raw traffic volume drops significantly in off-season months, the remaining visitors may convert at a higher rate—at least into direction requests. Whether that translates into actual revenue depends on the business. At minimum, maintaining accurate hours, clear off-season availability information, and relevant content during low-traffic periods appears to support continued direction request activity without requiring heavy investment.
Is a 2.5x difference in seasonal conversion rate typical for tourism businesses?
This dataset covers a single business, so it doesn’t provide a benchmark for the broader tourism or outdoor recreation category. The 2.5x difference (42.7% in winter vs. 17.0% in summer) is a finding specific to this business and this dataset. Further research across comparable businesses in similar regional tourism markets would be needed to determine whether this pattern is common or context-specific.
