Case Studies: How Leading Consumer Brands Are Making Smarter Pricing and Promotion Decisions

 & LatentView Analytics

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Pricing and promotion sit at the center of how consumer brands grow. Get the calls right and they fund profitable expansion. Get them wrong and they quietly drain margin across thousands of SKUs and hundreds of campaigns. As product portfolios expand, retail channels fragment, and customer behavior shifts faster than annual planning cycles can keep up with, those calls are getting harder to make well.

That’s the context behind a quiet but consequential shift inside leading consumer brands. Pricing and promotion decisions – once based on instinct, historical benchmarks, and pricing committees – are increasingly being run through models that simulate outcomes before any spend is committed. 

Below are three examples of how LatentView Analytics has helped leading consumer brands make that shift – across SKU pricing, trade spend, and EOSS planning.

How a Leading CPG Firm Solved Its Pricing Problems

A leading CPG firm’s pricing problems were stalling profitable growth. We fixed that with a Business Simulation Environment that brings data-driven precision to every pricing decision.

Business Challenges

With 100+ SKUs and pricing as a key growth lever, stakes and complexity ran high. Three core challenges:

  • Managing multiple pricing initiatives across SKUs
  • Distinguishing high-profit moves from those that erode sales
  • Balancing aggressive revenue targets and profit margins

Our Approach

LatentView built a Business Simulation Environment that models the downstream impact of pricing decisions before they’re made. Key capabilities:

  • Analyzing ‘what-if’ scenarios to evaluate trade-offs between profit, revenue, and volume growth
  • Quantifying the cumulative effect of multiple pricing decisions on the overall business

The result: data-driven business choices.

Impact

The simulation environment transformed how the client operates. They can now:

  • Prioritize SKU pricing decisions based on projected outcomes
  • Allocate marketing resources to support high-impact pricing moves
  • Drive profitable growth across a diverse product portfolio

How a Global CPG Company Optimized Trade Spend

A global CPG company partnered with LatentView Analytics to build a smarter, structured way to plan promotion spending.

Business Challenges

Modern retail is a key growth driver for large CPG companies. But that growth is expensive: companies pour money into consumer promotions and discounts to stay competitive, often without a clear sense of what’s working.

The client’s key challenges:

  • Growing profitably in modern retail, not just in volume
  • Optimizing trade spend to eliminate ineffective promotions
  • Planning promotions differently across retailers, regions, and product categories

Our Approach

LatentView Analytics established a Center of Excellence (CoE) to optimize the client’s trade spend. The team:

  • Built a unified repository of consumer promotion spend data across regions, customers, and SKUs
  • Analysed sales response to promotions at the granular level
  • Designed the optimal promotion mix for the channel

Impact

The client now runs a structured, insight-led promotion planning process. Decision-makers invest with confidence. Backed by CoE insights, the client:

  • Improved profitability in the modern retail channel
  • Optimized trade spend by cutting ineffective promotions
  • Established a system for long-term profitable growth

How a Footwear Retailer Acquired More Customers Through Smarter EOSS Strategy

LatentView Analytics helped a leading footwear retailer acquire new customers profitably with a segmented End of Season Sale (EOSS) strategy.

Business Challenges

India’s retail sector is squeezed by rising rentals, a sluggish economy, and fierce competition. Price promotions are no longer optional; they’re essential to driving footfall.

Our client, a leading high-end footwear retailer, needed to:

  • Assess the impact of historical price promotions
  • Drive incremental sales
  • Design a EOSS promotion strategy to acquire new customers profitably

Our Approach

LatentView Analytics tackled the challenge with a three-pronged approach:

EOSS Situation Analysis: We analyzed past promotions to measure impact on customer acquisition, profitability, and inventory movement.

Defining EOSS Strategic Priorities: We mapped past performance against the client’s business objectives to set measurable priorities for the upcoming EOSS.

Segmented Promotion Planning: We deployed a three-step framework to build a granular, store-level plan:

  • Article and Inventory Selection: Used CART segmentation to identify SKUs that maximize profitability and new customer acquisition.
  • Promotion Configuration: Applied spend sensitivity analysis to allocate SKUs across outlets, set discount levels, and phase rollouts across the EOSS calendar.
  • Impact Assessment: Ran simulations to project outcomes on key metrics, including Gross Profit % and Inventory Cost Reduction.

Impact

Acting on our recommendations, the client:

  • Redefined promotion timing and duration
  • Prioritized SKUs and outlets through a segmented approach
  • Generated stronger offtake lift relative to promotional spend
  • Acquired significantly more new customers

LatentView Analytics has been helping enterprises make data-driven decisions for nearly 20 years. The company brings deep expertise in data engineering, business analytics, GenAI, and predictive modeling to 30+ Fortune 500 clients across tech, retail, financial services, and CPG. A publicly traded company serving the US, India, Canada, Europe, and Singapore, LatentView is recognized in Forrester's Customer Analytics Service Providers Landscape.

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