SwiftIQ Labs

Business Intelligence Services

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Helping You Translate Insights Into Tactical Strategic Actions

Are you drowning in data? Our business intelligence team is here to help!

We empower retailers, brands, and distributors to achieve operational efficiency by helping them understand tactical alternatives to their most complex data-driven questions.

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Retail Execution
  • Measure Activities (displays, promotions, bundles, ads, coupons, etc.)
  • Recommend Promotional Bundles
  • Track New Items
  • Categorize Review / Performance Reporting
  • Optimize Assortment Suggestions
  • Analyze Planogram Reset
Granularity
Measurement Levels
  • Total Item / Brand Impact
  • Total Category Impact
  • Total Score Impact
Methodology
  • Test & Control - isolating stores based on similar variables
  • Chain Wide Measurement
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Marketing Personalization & Measurement
  • Pre-Campaign Insights
  • Post-Campaign Insights / Measurement
  • Track New Items
  • Segment Customers (Behavioral Targeting)
  • Create Audiences
  • Recommend Offers

Retail Execution

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Measure Activities (displays, promotions, bundles, ads, coupons, etc.)
  • Measure the ROI of the campaign at the item, category, and total store level
  • Analyze sales, basket size and dollar impact on the ‘bundle’ basket
  • Track the number of bundle redemptions and the impact on basket size
  • Analyze redemptions by day of week and time of day
  • Identify top selling products: sales breakdown by promoted item
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Recommend Promotional Bundles
  • Create the most efficient bundle programs (i.e. Hotdog & Iced Tea) and promotions by measuring redemptions and related affinities on an item, brand, or category
  • Measure the occurrences of billions of cross purchases and understand how much an item, brand or category drives the growth of an affinity item, brand, or category
  • Identify bundle consumption by dayparts: know what time of the year, day of the week and hour of the day you should implement the promotion to drive more growth
  • Optimize targeting by location: identify the top stores that are more likely to drive growth before the promotion and in-flight via real-time data
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Track New Items
  • Track new item and evaluate sales, margin, and share performance vs sales objectives
  • Measure sales performance by store quartile to focus on the best performing stores by their individual or category contribution to the chain
  • Measure basket size, spent and content of new item vs competition
  • Track new item performance by time of year, day of week and hour of day
  • Identify cross purchase opportunities and create optimal promotions to accelerate new item adoption
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Category Review / Performance Reporting
  • Create complete category review: track items, brands and competitors’ relative share, sales, price, and basket size within the category
  • Develop deep competitive analysis by measuring unit, dollar sales and case equivalent share or granular, basket-level insights such as items in the basket, velocity, incremental sales, and seasonality
  • Measure price elasticity and cross elasticities when other competing items are promoted
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Optimize Assortment Suggestions
  • Measure the incremental value (its sales and the sales bought with it) generated by an item or brand and its store contribution to make continuous improvements to shelf space
  • Determine the best categories and items that drive full store revenue and margin (e.g., how valuable is my discount coffee program)
  • Localize distribution and assortment recommendations by catering to specific behaviors of a retail location
  • Measure the relative value sales and basket contribution to allocated space
  • Optimize assortment continuously
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Analyze Planogram Reset
  • Unify space, sales and shipment data
  • Create better planograms during annual, semi-annual, or quarterly resets by measuring space against sales, incremental baskets, manufacturer and brand share
  • Allocate the right space in the entire store based on macro trends
  • Allocate the optimal space in each category based on specific item performance

Marketing Personalization & Measurement

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Pre-Campaign Insights
  • Weight marketing spend location intelligently based on store-level performance
  • Identify daypart opportunities to personalize campaigns by time of year, day of week and hour of day
  • Analyze the number of items and dollar value of baskets and cross purchase opportunities to create more effective promotions and bundles
  • Determine baseline performance expectations and projected demand
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Post-Campaign Insights / Measurement
  • Identify impact on item, brand, category and bundle’ sales and basket size
  • Measure the return on investment (ROI) of the campaign at the item, category and store level
  • Track redemptions of individual items or baskets
  • Analyze redemptions by day of week and time of day
  • Identify top selling products by promoted item
  • Analyze switch behavior or ability acquire customers from competitors
  • Measure re-purchase rate or ability to retain existing customers
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Track New Items
  • Track new item and evaluate sales, margin, and share performance vs sales objectives
  • Measure sales performance by store quartile to focus on the best performing stores by their individual or category contribution to the chain
  • Track new item performance by time of year, day of week and hour of day
  • Identify cross purchase opportunities and create optimal promotions to accelerate new item adoption
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Segment Customers (Behavioral Targeting)
  • Create audience segments to deliver more contextual marketing programs
  • Understand unique shopper behaviors based on purchase history, visits, frequency, basket spent and other key metrics to identify valuable targets and personalize offers according to shopper behavior

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