Leading E-commerce Consultant Uses Pricing Intelligence to Achieve 15% ROI

Overview Challenges Success Metrics Solution

Overview

Price intelligence is a key asset to manufacturers and distributors alike. By providing valuable insights into competitors and consumer behavior, it helps businesses adjust prices, make strategic decisions on promotions and discounts, and optimize inventory. This is exactly the USP of one of our clients, for whom Grepsr provides seamless access to product detail page (PDP) data at scale. Insights from our high-quality datasets help leading brands make better products and pricing decisions, and improve ROI.

Leading E-commerce Consultant Uses Pricing Intelligence to Achieve 15% ROI

Key points

One of our clients specializes in yielding exceptional ROI via pricing intelligence for some of the leading companies and global brands.
They require dramatic volumes of data from numerous e-commerce platforms and hundreds of product categories.
Scaling their in-house team to source this data wasn’t economically viable and sustainable, hence their partnership with Grepsr.
By taking over the data extraction, Grepsr has allowed the client to focus on other efforts, thereby boosting productivity threefold, with more teams integrating data into their daily workflows than ever before.

Challenges

As an e-commerce consultant, our client’s core service includes providing actionable insights through pricing intelligence to ensure and maximize profitability for some of the global industry leaders. This includes understanding their own products and categories, as well as monitoring and predicting pricing strategies of their competitors.

To achieve this, they need seamless and regular access to large volumes of product listing and product detail page (PDP) data from a wide range of e-commerce platforms and websites with varying levels of complexities.

Since their expertise does not lie in data sourcing, let alone at scale, they have partnered with Grepsr since August 2021.

In addition, tracking down old files for historical data analysis when needed was a major hassle.

Grepsr has helped increase our productivity by allowing our team to focus on other efforts. More than 15 client teams are now using competitive data that previously wouldn’t have in their analysis.

Product Analyst

15%

ROI

16

Data sources

2M+

Records processed per month

3X

Increased productivity

Solutions

With fresh and accurate PDP data critical to their service, our client has been leveraging Grepsr’s data service to source data from 16 different e-commerce platforms, and hundreds of product categories. We’ve empowered them to process upwards of 2 million records every month, and more teams have started integrating data into their daily workflows. As a result, they have improved productivity noticeably, creating much more meaningful and long-term impacts for their own customers.

According to the client, Grepsr’s quick turnaround times and affordable setup costs were key differentials while settling on a data partner. We’ve been able to provide them high-quality data well before pre-agreed deadlines, which fit perfectly with their client needs.

Similarly, our data platform has been pivotal for them to be able to view previous crawl histories, automate future runs, and track down old files as and when required. The ease of this historical data access has enabled them to identify pricing patterns and predict future trends, thereby helping create winning pricing strategies to improve their clients’ sales performances — a win-win for all parties!

Similar challenges faced across the industry:

Lack of technical know-how to automate routine data extractions

Businesses need fresh data to gather the best insights. To that end, one or two data extractions a day does not suffice. They need a system that can easily schedule crawl runs at specific intervals, as well as on demand.

Lack of resources - time, money and manpower - for data sourcing at scale

Data extraction is extremely tedious and highly error-prone. Most businesses lack the infrastructure to perform high volumes of data sourcing, and at a quality that yields the best results.