Instant foot-traffic analytics for

    Better behavior insights

  • Developers API
  • Visitor forecasts for every hour of the week
  • Know in real-time if it's more/ less busy
  • Analyze behavior in whole areas
  • Coverage in 150+ countries
Try for FREE

No credit card required

Try the demo

Suggestions

USED BY

Chillwall AI

Better visitors behavior insights

Supercharge your insights with our retail foot-traffic data:

  • Predict at what time of the week most visitors come to a venue (e.g. a store, bar, attraction, or restaurant).
  • Live updates if it is more or less busy than normal.
  • Filter venues in a whole area based on visitor peaks, day, time, and business type.
  • Integrate all data directly into your applications using the developer REST-API.

Hourly forecast

Hourly forecast

A visitor forecast for each individual hour of the day and all days of the week.

  • Indicated on a 5 point rating (Low, below average, average, above average, high).
  • High precision as a percentage from 0 to 100% in steps of 10%.
The forecasts are based on visitor averages over the last months. The forecast for any given hour is shown relative to the typical visitor peak for the business for the week.

More analyses

Crowd radar

Analyze visitor behavior in whole areas around the world:

  • Heatmap of visitors
  • Filter venues on:
    • Visitor peaks
    • Day & Time
    • Geographical location
    • Venue type
  • Venue information
  • Works on live & forecasted data

Click here for the Radar demo. The filtered data is also available through the API Venue filter endpoint.

Analysis

Analysis

Key analyses per day:

  • Visitor peak information per day (start, duration, end)
  • Quiet visiting hours per day
  • Busy visiting hours per day
  • At which hour most people visit, or leave the place
  • Week overview
More analyses

Live data

Live data

Real-time information with live data. Live data includes:

  • How active the place currently is
  • How much more, or less busy it is compared to the historical average for that hour.

Live data is expressed as a percentage. The percentage is relative to the typical visitor peak for the business for the week. The percentage could even be higher than 100% when it is currently more crowded than the forecasted peak of the week.

* Live data is only available for venues with a higher amount of traffic

More analyses
Compare live vs forecasted busyness

Use cases & benefits

Use our tools, or build software on top of our API.

COVID-19

Avoid COVID-19 infections by using the BestTime data to avoid crowded places.

Enrich data

Enrich your (web) apps, and existing business data by integrating our API.

Compare business

Easily compare visitor peaks of multiple shops.

Market demand

Get insights into geographical market demands. Using the radar tool it is easy to discover at what time and which place people will visit certain types of business.

Geographical analysis

Analyze venues in a specified geographical area. For example: Find out where all the busy bars are at Friday 9 PM, or which supermarket is quiet on Sunday morning.

Efficient resource scheduling

Optimize the workload for your employees, and other scheduled resources, by applying the insights from the day and week analysis.

More use-cases

  • Find the most popular hours of a bar using the peak and surge analysis. This way you will never end up in an empty bar, and never end up in the queue.
  • Find the quietest gym by comparing multiple gyms in your neighborhood.
  • Find the best time to go to a museum and avoid the queue.
  • Add time and day suggestions to a nightlife listing website. Most listing websites tell you which bars and clubs are recommended, but never tell you what is the best day and time to go.
  • Find out of a venue is more crowded than normal at this moment with the live data.
  • Use the build-in dashboard for your venue (e.g. reception, kitchen, etc) to keep your employees informed how busy it is now (live), how busy it will be next hour (forecasted), and when the next peak is coming.
  • Behavioral research: Get insights on how people behave in certain areas. E.g. in general gyms tend to peak around 7 am and 7 pm, restaurants tend to peak around 1 pm and 9 pm, shops tend to peak around 4 pm.

Developers API


Developers API


A simple and RESTful API offers easy integration into your existing platform or apps. Using the API you can create new forecasts, query a specific analysis of an existing forecast, or filter business on busyness, location, day, time, and business type. The API covers 150+ countries.

Dashboard


Prefer to avoid technical API's? Use the build in forecast dashboard:

  • Create new forecasts
  • Show current venue status (forecasted vs live)
  • Overview of the next coming visitors peak
  • When will it today be quiet
  • When are most visitors coming or leaving
  • Forecast other days of the week

Tools


Additional tools to directly use the BestTime data:

  • Compare: Create a personal overview to compare the busyness of multiple businesses. This way you can for example see when your favorite shop is less crowded, or when your favorite bar is hot and happening. Click here for the online demo.
  • Widgets: Create widgets for your list websites (e.g. best bars in New York City). These widgets display what are the popular days and times of the week. They also update automatically on your webiste. The widget tool is still under construction. Contact us for more information.
  • Triggers: Automatically send a message to your email/ phone when a venue reaches a certain buysness. E.g. when your gym is quieter than normal, or when your favorite bar is getting busy. This tool is still under construction.
  • Crowd radar: filter venues on forecasted/ live busyness, location, day, time, and business type. Using the tool the filter results can be displayed on a heatmap. Click here for the Crowd radar demo.

How does it work?

1. Select venues

Insert a business name and address through the website tool or API. You can also add public business in a whole area/city automatically using the Add Area tool. Using the Add Area tool you can define the location and type of business (e.g. cafe, gym, etc) you would like to forecast.

2. Automated forecasts

BestTime.app will automatically try to forecast the venue visitor peaks. The result includes all primary analyses (week-, day-, hour-, peak-, and surge analysis), or real-time data.

3. Additional analyses

Each forecast and analysis is stored on the server and can be accessed again through the website or the Developers API 'query' endpoints. Using the Radar Tool you can visualize all previously forecasted venues on a heatmap. The heatmap color will indicate, from green to red, how busy it will be compared to the average. Using the Radar Tool you can also filter venues on location, (live) visitor peak percentage, day, time range, and venue type. This filter is also available through the API.

Start for free

It takes less than a minute to start forecasting. No credit card required.

Contact us

Contact us for questions, custom analyses, or API functions.

F.A.Q.

What is a forecast?

A venue forecast result includes data on how busy a venue approximately will be. The forecast includes different analysis, e.g.:

  • Most busy days of the week (maximum, and mean)
  • Daily peak hours, start, end, and intensity of the peaks
  • What time most visitors come and leave the venue
  • The quietest hours of the day
  • Forecast for every hour of the week

The forecast is stored on the server, so additional (detailed) queries can be made on the forecast. Each subscription plan has a maximum amount of monthly forecasts. You can use these forecast to forecast a venue multiple times (update it) or forecast different venues.

What is a query?

A query gets specific data from an existing stored forecast. While a new forecast could take a few seconds, a query is almost instantly. Queries can be used to e.g.:

  • get a specific part of the analysis for a specific day (e.g. only the peak analysis for Friday)
  • get the forecast for the current day and our hour, with the venues local timezone taken into account
  • get the remaining time (in seconds) until a next event (e.g. until next peak)

How accurate are the forecasts?

The normal forecasts are made based on historical visitors to your venues in the past weeks. Based on this data we provide forecasts for each part of the day, for each day of the week. The forecast values indicate how busy a venue relative is, as compared to its peak of the week.

What is live data?

Live data indicates the real-time activity of a venue expressed as a percentage. This is compared to the historical value for the current day of the week, and hour of the day.

Where do you get the data from?

The data is based on anonymous aggregated GPS-signals. The data is collected from users who opted-in in multiple third-party mobile apps.

Does it work on all venues?

No. A venue needs to have a high enough volume of visitors to make a reliable forecast. For real-time live data, this volume needs to be even higher.

Are forecasted automatically updated?

No, after a forecast is made it will be stored on the server. Using the website or API a venue forecast can be updated. Coming soon: automatically update a forecast

Can I use this data on my website for my customers?

Yes, you can show how busy it will be in your venues to your customers. You can integrate the data on your website, or your apps using our API.