Customer support is a hallmark of Bloom Intelligence.
We support not only our customers,
but our customers’ customers as well.

Should they have any trouble at all accessing Wi-Fi in a Bloom Intelligence-equipped location, users will encounter a self-diagnostic system that helps them resolve most connection issues. If this doesn’t solve the problem, they can click an on-screen link to gain immediate access to our Support Center. Our friendly staff will respond and guide them through the connection process, allowing your staff to carry on doing the things you’d really rather have them doing.

Bandwidth requirements vary widely based on the number of users accessing the Wi-Fi network, and the types of online activities in which they are engaged. For example, streaming video uses much more bandwidth than using Facebook or Twitter, and social media platforms such as these require much more bandwidth than checking e-mail.

Use our bandwidth calculator to estimate the amount of bandwidth required for your location.

Resource Library

“Six Myths About Customer Loyalty Programs”

Forbes article: “Low-margin retailers often argue they can’t afford customer loyalty programs, but is that true? Two business professors make the case that such programs are profit-enhancing differentiators.”

“Introducing: The Net Promoter System®”

Short article from management consulting firm Bain & Company that describes the Net Promoter System® – a method of taking the pulse of your customer base, and ascertaining how they really feel about doing business with you.

“Cybersecurity IQ: Americans Receive Mixed Results”

A new study by Pew Research Center reveals that Americans are decidedly uninformed when it comes to cybersecurity issues. This article discusses the study’s key results.

“7 Ways To Leverage Your Small Business Data For Enhanced Revenues”

Access to and the ability to analyze big data has the potential to change everything about how small businesses do business. But how does a big data beginner take advantage of this? This article discusses seven things that small businesses should consider when looking for a place to step into using big data.

“How Much Can a Bad Review Hurt Your Business?”

Reviews are important. Good ones can boost your business. Bad ones can sink it. This brief article covers some of the basics when it comes to reviews including social media, search engines, and third-party review sites.

“The Cost of Unhappy Customers (Infographic)”

It’s intuitive: Unhappy customers cost businesses real money. But how big an impact is this, exactly? This Forbes article unpacks the math behind the cost of unhappy customers, and provides a formula for customer happiness.

Study: Restaurants Improve Customer Retention Rates

Article discussing the Customer Retention Index, part of the Restaurant Industry Tracking Survey conducted by research firm Dectiva. Included here are discussions about customer retention and churn rates in both quick-service / fast-casual and casual-dining / family-dining restaurant chains.

Calculating Lifetime Value

Case study on calculating customer lifetime value from KISSmetrics. “One way to analyze acquisition strategy and estimate marketing costs is to calculate the Lifetime Value (“LTV”) of a customer. Roughly defined, LTV is the projected revenue that a customer will generate during their lifetime. In this graphic we’ll briefly cover how to calculate LTV and how to use LTV to help solidify your marketing budget.”

Restaurant Benchmarks

Great report from Baker Tilly Virchow Krause, LLP (bakertilly.com) presenting industry benchmarks for the restaurant industry. How does your restaurant compare to the industry standard?

White Paper: “Why Buy The Cow For One Glass Of Milk?”

This short ebook discusses the business risks and expenses associated with setting up and managing a store Wi-Fi network, and makes the case for bundling hardware costs and maintenance, customer support, and managed services into a package with one low monthly fee.

Glossary

The following terms
TermDefinition
Average Daily First-time VisitorsThe average number of visitors attending a location for the first time on a typical day.
Average Daily TrafficThe average number of visitors attending a location each day.
BenchmarksA measurement that serves as a point of reference against which future performance can be evaluated. Benchmarks allow comparison of metrics between time periods or locations.
Best PracticesBusiness practices or procedures considered most effective in a given situation.
Customer Churn RateA measure of customer attrition expressed as the percentage of customers who stop visiting the location within a given time frame.
Customer LifetimeThe expected period of time (usually measured in years or months) over which an average customer will patronize a business.
Customer Lifetime ValueThe expected total value of all purchases made by a customer at a specific store, during his or her lifetime.
DemographicsCharacteristics of customers such as age and gender that can be used to define customer segments.
Dwell TimeThe amount of time that a visitor spends in a location.
Key Performance IndicatorA measurement used to evaluate the performance of an organization or an activity.
Marketing AnalyticsAnalytics related to marketing campaigns. Marketing analytics are used to measure the effectiveness of campaigns and quantify campaigns’ return on investment (ROI).
Marketing AutomationThe use of software tools to manage marketing processes. Marketing automation can help streamline repetitive tasks, allowing users to handle much more than they would otherwise be capable of managing.
Predictive AnalyticsThe practice of analyzing past data to identify patterns and make predictions about future events, trends, and outcomes.
PsychographicsCharacteristics of customers such as attitudes and aspirations that can be used to define customer segments.
Retail AnalyticsAnalytics that provide consumer behavior insights, determine the performance of products, and influence retail decision-making.
RevPASH (Revenue per Available Seat Hour)RevPASH is a management metric that allows a better understanding of a restaurant’s revenue-generating effectiveness. It is calculated by dividing Total Restaurant Revenue by Total Seat-Hours (i.e. Available Seats x Opening Hours). RevPASH can be expressed as an hourly, daily, weekly or monthly value. RevPASH can be used to for labor scheduling, food purchasing, marketing tools and budgeting during the lowest occupancy.
SegmentationThe division of customers into groups based on demographics, psychographics, or other characteristics. Segmentation allows marketing efforts to be much more targeted to the specific groups of customers that retailers find most attractive.