We track a lot of data here at Ecommerce Leads. So much so we had to build a glossary to go over every data point we collect.
Use this glossary to better understand the reports we send or to decide which metrics to use when defining your ICP.
Use the buttons below to jump to different metric categories.
These metrics help us understand how well stores perform in search engines and their overall web traffic patterns.
The estimated number of visitors a website receives from organic search results each month, tracked via tools like SEMRush and Ahrefs.
The number of search engine results pages (SERPs) where the domain appears for various keywords.
Estimated visitors from paid search advertisements (Google Ads, Bing Ads) per month.
Number of search results pages where the domain appears in paid advertising positions.
A numerical value (0-10) representing the authority and trustworthiness of a domain, based on link analysis.
The number of backlinks pointing to the website.
The number of unique domains linking to the website.
Total number of followers on the Instagram account associated with the store.
Total number of posts published on the Instagram account.
Calculated as (likes + comments) / followers, indicating audience engagement quality.
Mean number of likes per Instagram post over recent content.
Mean number of comments per Instagram post.
Average posting frequency, categorized as LOW, MEDIUM, HIGH, or ZERO.
Breakdown of content by type: video posts, image posts, and carousel posts.
Estimated monthly website visitors coming from Instagram.
Total follower count on TikTok account.
Average engagement per video relative to follower count.
Video publishing frequency on TikTok.
Complete count of all advertisements ever created by the store on Meta platforms.
Number of currently running advertisements on Facebook and Instagram.
Total estimated reach of ads in European Union markets (where data is available).
Breakdown of ad count between Facebook, Instagram, and other Meta placements.
Number of video-based advertisements currently active.
Estimated website visitors generated from Meta advertising campaigns per month.
Estimated monthly advertising expenditure on Meta platforms.
Number of product ads running through Google Shopping.
Breakdown of Google ads by format: text, image, and video advertisements.
Website visitors attributed to Google advertising campaigns.
Monthly advertising budget on Google platforms.
Complete count of TikTok advertisements created by the store.
Currently running advertising campaigns on TikTok.
Pagespeed Insights' assessment of page loading speed and optimization (0-100 scale).
Pagespeed Insights' evaluation of website accessibility for users with disabilities (0-100 scale).
Pagespeed Insights' assessment of adherence to web development best practices and standards (0-100 scale).
Pagespeed Insights' evaluation of technical SEO factors that affect search engine crawling and indexing (0-100 scale).
Pagespeed Insights' assessment of Progressive Web App capabilities (0-100 scale).
The business name or brand name of the ecommerce store.
The primary website URL for the store.
The primary business category or niche the store operates in.
Geographic continent where the business is based.
Specific country of business registration or primary operations.
Year the business was established.
Estimated number of employees working at the company.
The ecommerce platform the store is built on.
Estimated annual revenue for the business.
Mean price point of products sold by the store.
Number of unique products/variants available.
Name of the key decision maker (owner, CEO, marketing director) at the company.
Business email address for the primary contact.
Job title or position of the key contact.
LinkedIn profile URL for the business contact.
Business phone number when available.
Deliverability of the provided email address.
Our advanced lead generation platform uses these data points to create sophisticated scoring algorithms that identify the highest-value prospects for marketing agencies and service providers. Here's how different professionals can leverage this data:
SEO Agencies: Use organic traffic trends, domain authority metrics, and technical performance scores to identify websites with SEO improvement opportunities. Target stores with declining organic traffic or low PageSpeed scores.
PPC Agencies: Focus on stores with high organic traffic but low paid advertising activity. These businesses already understand digital marketing value but may need help scaling their paid campaigns.
Social Media Agencies: Target ecommerce stores with large follower counts but low engagement rates, or businesses with strong website traffic but minimal social media presence.
All metrics are collected through a combination of web scraping, API integrations, and data partnerships. We update our database regularly with fresh data across all 500,000+ ecommerce stores. Our algorithms cross-reference multiple data sources to ensure accuracy and identify growth patterns that indicate sales readiness.
This comprehensive approach to ecommerce intelligence helps marketing professionals focus their outreach efforts on prospects most likely to convert, reducing acquisition costs and improving close rates for agency services.
Why This Data Matters for B2B Sales Success
Understanding ecommerce metrics isn't just about data analysis. It's about identifying buying intent and sales readiness. Stores investing in their digital presence, showing growth patterns, or exhibiting performance gaps are more likely to engage with marketing service providers. Our comprehensive database helps you move from cold outreach to warm conversations by targeting prospects already demonstrating need for your services.
Get new clients for your agency consistently by acessing our database of stores likely to outsource, compiled from over 50 million data points on 400,000 stores.