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RetailViewer is a web-based platform that automates ad-hoc analysis and provides a holistic view of retailer performance. It allows retailers to quickly and easily compare pricing strategies, track promotion effects over time, and determine optimal pricing based on a variety of customizable objectives.
RetailViewer is flexible – it can be hosted on the Fulcrum private cloud or on-premises depending on an organization’s preference.
Add-ons: Circular Optimizer and Segment Maximizer
Generate detailed insights across all products and promotions more quickly and with greater accuracy.
Summarize sales and profit data for each product over any date range – get transparency into pricing impacts.
Provide promotional decisions quickly to increase penetration and minimize unnecessary discounts.
Data-Driven Decision Making
Customized to include product, store, channel, region, and customer dimensions
Ingests daily line-item level transaction feeds and promotional history while aggregating product, promotion, and profit data for comprehensive analysis
Calculates profitability at every price point and analyzes sales and profit over historical date ranges
Provides product analysis in visual form and tables and exports charts and data files from the web interface
The print circular remains an important part of grocery promotion strategy. Normally, its contents are often based on the previous years’ version without critical analysis, potentially leading to missed opportunities. The effectiveness of the sales flyer is further limited due to its lack of personalization across pricing zones and geographic markets.
Fulcrum’s Circular Optimizer is a feature that can be added onto RetailViewer that allows grocery retailers to build their weekly flyer using automated product-specific analysis, and to customize versions of a circular by market or store segment.
Predicts forecasted sales revenue and quantity for each ad based on the promotion price
Provides informed analytical insights to minimize the incidents of discounting items that do not benefit from promotion to maximize revenue
Calculates the number of households each ad appeals to, based on purchase history, as well as the incremental household appeal given the others ads in the circular
To maximize the effectiveness of grocery marketing tactics, analysis should be performed using a segmentation of customer households/loyalty cards. Fulcrum can create a data-driven segmentation for refined marketing tactics or integrate the data and code for a retailer’s own or pre-existing segmentation. The same approach can be used for segmenting stores as well.
Identifies the impact of a promotion on each customer segment to determine whose trip frequency and basket size grew or shrunk
Forecast Sales by Segment
Forecasts segment-level trip and sales impacts of promoting certain products
Tracks changes to the buying behaviors of specific segments over time to better inform strategies for growth or win-back
The team behind Fulcrum Impact is a seasoned and dedicated mix of data scientists, engineers, and developers producing meaningful insights from complex data.
Read our In-Depth
Blog posts about RetailViewer
- Marketing Analytics Techniques Compared: Marketing Mix Modeling vs. Attribution
- Maximizing Grocery Profit Margins with a Weekly Ad Circular
- Comprehensive Retailer Analytics with Fulcrum RetailViewer