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Implement strategic closures and relocations with SiteZeus’ new impact analytics
An underperforming or poorly positioned store can hurt your average unit volume and cannibalize sales. With variables like changing customer demographics, moving competitors, new lease terms, and population movement, most brands — especially legacy ones — will need to embrace closure and relocation studies as part of a healthy market-planning strategy. Protecting existing revenue and maximizing market share is easy with SiteZeus’ closure impact solution, which uses mobile data to analyze customers’ paths to purchase and predict how their behavior would change in response to a store closure or relocation.
Why all strong market-planning strategies include mobile data
The world’s greatest brands span different industries, growth phases, and management styles, but they all have one thing in common: they’re eager to expand their portfolios — and do so efficiently. If your brand has a stake in the offline world and relies on high traffic volumes to drive revenue, mobile data can be your best friend.
In highly competitive industries where success depends on quickly finding and securing prime real estate, a streamlined and sophisticated site-selection process is essential. And the best strategies are those that focus heavily on customers’ locations and behaviors. Previously, a thorough approach required running several analyses that took a lot of time, money, and technical training. But brands can now overcome those barriers and achieve even more effective market planning by leveraging the latest technology, including multipurpose resources they can apply throughout the development cycle.
Jump-start your growth with scientific insights
Your brand has gained local popularity, with exceptional service, quality products, and a solid business model. Now it’s time to scale the concept and maximize your profit — but how will you find the time and funds to do so when you’re already busy managing supply chain logistics, staffing levels, marketing campaigns, local regulations, and maybe even franchisee relationships?
What’s the best way to calculate sales impact? Hint: It involves tech.
Sales cannibalization might be an age-old problem, but that doesn’t mean you should be stuck with age-old solutions. Real estate teams have incorporated scientific calculations into their marketing planning in the last three or four decades, but now this trend is accelerating as the technology advances.
Due diligence done right
Find, evaluate, acquire, grow, optimize, sell, repeat — this cycle of uncovering and expanding promising brands is one all private equity firms are familiar with. And the current market has uniquely positioned you to secure popular emerging brands at a low cost, with their valuations having decreased due to pandemic-related setbacks. But how can you […]
Scale your franchise with data-driven location intelligence
Franchisees: Pick better locations with an A.I.-powered predictive model based on all your brand’s data.
Countless franchisees. One solid market-planning strategy.
Franchisors: Streamline your market-planning process and franchisee relationships with a company-wide franchise portal.
Enhance your market-planning strategy with innovative trade-area analyses
While traditional methods for evaluating existing trade areas, like distance-based radius and drive times, may have worked for brands in the past, they don’t answer the critical question: “How are my customers actually traveling within my site’s trade area?” SiteZeus’ innovative approach is more precise, taking the guessing and uncertainty out of the picture. By leveraging your customers’ mobile location data inside SiteZeus’ A.I.-powered platform, you can visualize their paths to purchase and identify your brand’s true trade areas within minutes.
Identify markets where your brand would thrive in minutes
Traditional white space analysis methods take multi-unit brand’s two to four weeks to conduct and can vary in accuracy. Waiting that long for analysis drastically slows down the timeline for opening new locations. Attempting to find data driven answers to questions like, “What market should I enter next?” or “Where should I open my first location in this new market?” can be difficult. SiteZeus’ A.I.-powered white space analysis solution, Site Sonar, runs up to 50,000 sales projections across the US and Canada in a matter of minutes, helping brands evaluate sales potential in new markets with greater accuracy than ever before.
Breakthrough A.I.-powered solution helps multi-unit brands reduce sales impact and increase profits in existing markets
Sales impact can be challenging to measure mainly because human behavior is complex. How do you quickly, efficiently, and easily build out the best market planning strategy?
Test site remodel scenarios for a single site or your entire fleet to improve portfolio performance
Whenever a multi-unit brand decides to remodel one or multiple sites, the questions is always, “What will my ROI be?” Making physical or operational changes can be costly, so it’s critical to understand how the changes will affect stores’ revenue. With SiteZeus’s portfolio optimization solution, brands can navigate these decisions with confidence.
Test sales impact with SiteZeus’ new breakthrough solution
Great multi-unit brands recognize the importance of calculated infill growth. However, identifying potential sites with an acceptable amount of cannibalization on existing locations can be difficult. SiteZeus understands this obstacle, which is why we’ve created an A.I.-powered solution making the struggle of time-consuming and unreliable sales impact studies a thing of the past. Why SiteZeus? SiteZeus’ A.I.-powered Sales Impact solution forecasts potential sales transfer with unprecedented accuracy. Our approach leverages actual customer trip data to measure cannibalization in under a minute. This innovative methodology analyzes all the trips taken to your existing site over the last 365 days to predict how customers will shift to a new location. By evaluating 15 different variables like time of day, day of week, and a variety of distance-based measurements, the model is able to understand your customers’ behavior and predict sales impact with over 93% accuracy.