Why?
The e-commerce landscape is changing rapidly. Every day, over 95% of active
e-commerce shops make minor changes, and 3% undergo significant transformations.
Monitoring both your product performance and competitor actions is crucial. This includes tracking changes in product positions within catalogs and search results, price and promotion shifts, sales, out-of-stock alerts, new reviews, and other key metrics. Without timely insights, you risk falling behind, losing profits and customers—often realizing changes only when it’s too late to respond.
To help your Brand stay ahead of competitors, we:
01.
Scrape entire e-commerce sites or specific categories daily.
02.
Collect over 100 different types of data , including product information, category positioning, and more.
03.
Analyze dynamic changes and assess catalog quality using best-practice methods and 🪄AI algorithms, while comparing your performance against other brands on the site.
04.
Generate thousands of insightful analyses across 5 categories and numerous types , providing comprehensive data about your competitors and market position.
What are Insights?
We track retailers' shops and analyze data to generate five groups of Insights.
Competition Insights
These Insights focus on comparing price and discount changes between your strategy and that of your competitors. For example, they may appear as follows:
Brand 1 maintained slightly lower prices (~3%) in Category 1 and Category 2 on Retailer 1, consistently outperforming your brand over the past 7 days
Brand 1 has been mirroring your discount policy across 5 categories for the last 30 days
Interest Insights
These Insights provide extensive information about where retailers and brands are concentrating their efforts and focus. This includes new models of existing brands and categories, promoting products through advertising, changing product positions, and more:
Brand 1 improved catalog quality on Retailer 1 in Category 1, achieving a 39% increase from 5.4 to 7.5 over the past 7 days
Brand 1 and Brand 2 were promoted to the first page in Category 1 on Retailer 1, boosting their visibility as of the latest update
Alerts by Rules
This Insight Category is manually created by you. With a variety of filters and custom rules, it provides numerous opportunities for individual customization.
Sales Insights
These Insights may include data on the number of sales and customer activity across various product groups in retailers' shops. For instance:
Brand 1 increased sales by 12% in Category 1 on Retailer 1 and Retailer 2, showing notable growth over the past 30 days
Brand 1 was sold out in Category 1 five times, indicating high demand in the last week
Evolution Insights
Evolution Insights pertain to significant changes in retailers' shops, such as the introduction of new brands and categories, the return of previously discontinued products, changes in pricing strategy, and more:
Retailer 1 published new Brand 1 in Category 1, positioned at a medium price level and featured on the first page, as of the latest update
Brand 1 has adjusted their pricing strategy in Category 1, changing price levels from medium to low, potentially outperforming your own, according to the latest observation.
Who Benefits by Department
E-commerce Department
Supervisor
E-commerce Director / Head of E-commerce / Chief Digital Officer (CDO)
Roles
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E-commerce Manager
Leverages analytics to optimize product listings, manage inventory, boost search rankings, and improve conversion rates on e-commerce platforms.
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Digital Marketing Manager
Analyzes which campaigns drive traffic, visibility, and conversions on e-commerce sites, refining marketing strategies based on the data.
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Category Manager
Monitors assortment gaps, category-specific trends, pricing shifts, and consumer preferences to optimize the category’s performance.
Read more in our blog post, “Who Benefits from Digital Shelf Analytics for Brands?”
User-Friendly Interface
Our goal is to make data easy to understand. Instead of overwhelming you with hard-to-read numbers, we’ve designed our interface to be intuitive, focusing on clear navigation and relevant insights—all to help your brand effectively use the data we provide.
Data Sources
Scrape data from Any Retailers Shops, Marketplaces, or Direct-To-Consumer (DTC) platform, including:
…and thousands more!
Import data from internal systems, such as ERP, to seamlessly integrate analytics for your brick-and-mortar (BaM) shops.
We work with all languages and currencies.
Who?
Our team brings:
21 Years of E-commerce Expertise
Since launching our first e-commerce shop in 2003, we've walked in your shoes and understand the challenges and opportunities you face.
8 Years of Data Scraping and Parsing
Every day, our sophisticated bots collect data from over 40,000 websites. We excel in extracting information, even from sites with bot protection measures in place.
Dmitriy Graevskiy
Intodat Founder, CEO
As the Co-Founder and CTO of a Price Monitoring Service established in 2016, serving more than 150 brands, I am driven to bring order to the chaos of e-commerce data and unlock its value for our clients. With extensive experience and knowledge, I’m confident in making this vision a reality.
If you’d like to learn more about Intodat, I’d be happy to help—feel free to connect with me on LinkedIn.
Find out more about Digital Shelf Analytics on our blog:
FAQ
How do you collect the data?
We utilize web scraping techniques on your retailers' websites. Additionally, we can scrape data from your website, or you can opt to import your data directly.
How can I test your product?
Please fill out our form, and we will contact you to discuss a pilot project.
What is the cost?
Pricing varies based on the number of retailers and the volume of data we need to collect. We will provide a detailed budget after assessing all factors specific to your situation.
What if my question isn't answered here?
For further inquiries, please email us at hello@intodat.com