Strategic Price Index (SPI) & Laddering - for FMCG industry

In the fast-paced FMCG sector, Strategic Price Index (SPI) and Laddering involves meticulously tracking competitor product pricing, promotional tactics, and SKU availability across diverse online channels to refine market positioning. Achieving this accurately and at scale demands a highly specialized, reliable data partner due to data complexity and anti-scraping measures. Our fully managed data solutions provide unparalleled precision and consistent data delivery, empowering your strategic pricing decisions.

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Enterprise scraping and matching from 5,000+ sources.

COMMON PROBLEMS

What makes FMCG price intelligence a persistent challenge?

Attempting to build and maintain in-house data collection for Strategic Price Index (SPI) and Laddering in FMCG often leads to unsustainable costs and unreliable insights. Without dedicated expertise in enterprise-grade web scraping, advanced data matching, and robust proxy management, internal teams are bogged down in reactive data acquisition rather than proactive strategy.

Inaccurate competitor price tracking

FMCG brands struggle with inconsistent or outdated data on competitor pricing and promotional activities across a multitude of online retailers and marketplaces. This makes it nearly impossible to maintain a precise Strategic Price Index and understand true market positioning.

Suboptimal pricing and lost margins

Relying on incomplete or delayed price intelligence leads directly to missed revenue opportunities and erosion of profit margins. Brands cannot react swiftly to market shifts or validate Minimum Advertised Prices (MAP) without real-time, accurate competitive data, impacting their financial performance and market perception.

Evasive anti-bot and complex matching hurdles

Aggressive anti-bot measures from e-commerce platforms, coupled with the intricate task of matching vast quantities of similar FMCG SKUs across disparate data sources, pose significant technical barriers. Non-specialist teams lack the advanced infrastructure and ML algorithms needed for scalable, accurate data acquisition and normalization.

Resource drain and diverted focus

Dedicating internal engineering and data science teams to data scraping and cleaning for SPI projects diverts critical resources from core product development and strategic initiatives. This inefficient allocation of highly skilled personnel hampers innovation and operational efficiency, preventing them from focusing on their primary business goals.
OUR SOLUTIONS

Transforming FMCG price intelligence with managed data

Our comprehensive managed data service covers the entire lifecycle, from enterprise-grade data scraping and intelligent data matching to meticulous manual refinement and automated QA. We deliver analysis-ready data for Strategic Price Index (SPI) & Laddering, liberating your internal teams for core strategic work.

Precision price monitoring

We provide continuous, high-fidelity monitoring of competitor pricing and promotional mechanics, ensuring your Strategic Price Index is always based on the most current and accurate market data, enabling informed decision-making.

Optimized pricing strategy

With reliable, real-time competitive insights, you can implement dynamic pricing models and promotional strategies that maximize revenue and protect margins, ensuring your FMCG products are optimally positioned against rivals.

Advanced data acquisition

Our robust infrastructure bypasses sophisticated anti-bot defenses and employs advanced ML algorithms for precise SKU matching, delivering clean, structured data from even the most challenging online sources at scale.

Strategic resource reallocation

By fully managing your data acquisition and preparation, we free your in-house data and engineering teams to focus on high-value analytics and core business innovation, optimizing internal resource utilization.

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OTHER USE CASES

Explore other FMCG use cases

As a premier data intelligence provider for the FMCG sector, we offer end-to-end managed services, encompassing complex web scraping, advanced data matching, and full infrastructure management. Discover additional critical use cases we address for leading FMCG brands.
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