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Predictive Analytics

Tango’s Predictive Analytics solutions provide the necessary intelligence to help you develop smarter location strategies, and make better capital investment decisions, by combining advanced modeling with robust data in a scalable geospatial analytics platform. Our experience developing and deploying artificial intelligence / deep learning predictive models allows Tango to move well beyond simple business intelligence into the discovery of previously unknown variable relationships that provide substantially more insight and value and allows you to maximize the potential of your brand and stay one step ahead of the competition.


Adapt in real-time and optimize portfolio moves across all strategic options for both new and existing locations.


Unmatched insight into the optimal positioning & sales potential for new locations.


Profile customers across channels, real estate, marketing, and merchandizing to align real estate strategies & execution with changing dynamics. Analyze omni-channel customer shopping patterns and channel intersections to maximize sales contribution and potential.


Advanced techniques of machine learning blend deep domain knowledge and key learnings from traditional techniques to yield the most accurate models.


Visualize and analyze markets holistically using the industry’s best GIS tools

Dynamic markets require a multidimensional approach to mapping and visualization. Having a single platform that encompasses all targets, sites, projects, leases and stores means you can see what’s really going on and adjust plans accordingly.

  • Explore markets and unit performance including the ability to drill directly into location records for context and understanding.
  • Analyze relationships between unit, competitor and customer positioning.
  • Manage dynamic map layers including all location types – targets, sites, projects, leases and existing stores.
  • Visualize upcoming lease renewals and occupancy costs across the portfolio from within mapping.

Utilize on-map analytics to deliver new actionable insights

Sometimes answers are not obvious. Employ tools to ask new questions and identify opportunities to put you a step ahead.

  • Quickly spot demographic patterns through multi-variable thematic mapping using standard or custom themes, including custom classifications, color ramping and labeling.
  • Uncover areas of opportunity with multidimensional Hot Spot Analyses with thresholding.
  • Utilize Time Slider to visualize the impact of activities such as marketing, operational or competitive changes on locations, competitors and customers over time.
  • Transform market-level and trade area geopotential into actionable intelligence.


Model the right real estate moves, in the right sequence, in every market

Create scenarios employing key business drivers, including location revenue, cannibalization percentage, complementors, competition and market size to determine optimal store distribution strategy.

  • Determine a brand’s growth potential.
  • Focus on the best markets to ensure the highest return.
  • Assess current stores and determine renew, remodel & relocate decisions.
  • Optimize portfolio moves across all strategic options for both new and existing locations.

Execute strategy to meet revenue, growth and capital goals

Create an executable strategy based on an in-depth assessment that enables your organization to meet growth and revenue goals.

  • Manage all aspects of your strategic plan on a single platform.
  • Adapt your strategy in real time to changing competitive and market conditions.
  • Realize the impacts of a dynamic strategy across the entire organization.

Identify new and infill opportunities to drive growth

Opening new stores is your number one growth opportunity and finding the best locations ahead of the competition can mean the difference between success and failure.

  • Utilize rich demographic data to identify in-profile targets and sites.
  • Capitalize on market opportunities by aligning model output with available real estate.
  • Optimize store positioning and sales potential.

Determine store strategies - relocate, close, renegotiate or remodel

Existing stores are your best way maximize sales and performance and the ability to continually assess and improve your existing portfolio will boost your bottom line.

  • Collect data, analyze competitors, profile customers and forecast performance.
  • Understand location position and profitability by analyzing store performance, cash flow, costs and site quality.
  • Determine existing store strategies – relocate, close, renegotiate, remodel or watch.


Building an accurate sales forecast requires a foundational understanding of what drives performance

Site features tell the story of a potential location and provide information needed to power accurate sales forecasts.

  • Capture critical site feature data in the field from any mobile device.
  • Understand synergistic linkages based on proximity of traffic generators and business concentration.
  • Incorporate co-tenancy, visibility, signage, ingress / egress, parking, etc. to drive consistent site analyses and sales estimates.

Predicting sales to optimize store positioning and revenue necessitates a comprehensive approach that takes into consideration all aspects that impact new and existing locations

Limiting your analysis drives down sales forecast accuracy and value. Consider all factors that affect location and market performance.

  • Utilize operational ratings and customer satisfaction to assess impact on sales performance.
  • Analyze historical sales ramps to better predict short-term and long-term performance.
  • Forecast sister store cannibalization and sales transfers to model overall market effects of new store locations.


Avoid cannibalization conflicts

Identify differences in sister store performance by real estate location type and the relative distance between locations.

  • Evaluate prototype-specific cannibalization.
  • Analyze by EBITDA rather than percent impact on existing stores.
  • Utilize exclusive data partnerships to help determine the impact of proposed new locations on existing stores, quickly and cost-effectively.
  • Measure cannibalization across different asset types.




Collect data, analyze competitors, profile customers and forecast performance

  • Geofencing and smartphone tracking to refine trade areas
  • Mobile pulse data to aggregate foot traffic and day part analyses
  • Remote sensing to improve model accuracy
  • Utilize credit card transaction data to assess co-tenant attractiveness


Combining cutting edge approaches with informed insight

Advanced techniques of machine learning blend deep domain knowledge and key learnings from traditional techniques to yield the most accurate models.

  • Harness new data sources – social media, credit card, traffic and cell phone – to speed model development and improve reliability through artificial intelligence.
  • Factor in real life conditions to ensure the most accurate, reliable models.
  • Discover patterns that would be undiscernible by traditional modeling techniques.

Real-time, regenerating insights

The challenge of traditional modeling techniques is that they fail to consider the changing interactions and new data that are essential to developing living, breathing models that provide the true pulse of the market.

  • Quickly and seamlessly refresh the model as parameters change.
  • Introduce new transaction data for different channels to automatically adjust the model.
  • Make the right decisions the first time and save both time and cost by relying on more accurate findings.



Predictive Analytics



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