Our client operates a leading global directory that compiles comprehensive data on eCommerce sellers listed across major marketplaces and platforms like Amazon and Shopify. By providing a curated list of sellers, the platform helps businesses discover key prospects for outreach, partnerships, and growth.
For more effective lead generation and targeted B2B engagement, the client wanted to enrich its existing database of over 1.5 million Amazon and Shopify sellers by adding critical business attributes, such as official websites, contact information for key decision-makers, product categories, and operating geographies.
They partnered with us for our data enrichment and contact discovery services. The project scope included:
The project posed significant challenges due to its scale and the complexity of B2B data enrichment across international marketplaces. Accurate, high-volume data collection had to align with strict quality standards, regulatory requirements, and tight delivery timelines.
Key challenges included:
We deployed a team of 12-15 web research specialists with expertise in contact data mining via LinkedIn and business directories. Along with providing initial training on the client’s data research parameters, we also established a structured workflow to tackle each challenge systematically:
Using tailored keyword combinations of seller name, business name, product category, and geographic location (e.g., "Seller name + city + state"), we executed structured Google and trademark database searches to retrieve official website URLs for Amazon and Shopify sellers. Domain variants (.com, .us, .net) were systematically tested, and storefront details were cross-referenced to validate brand websites. To confirm operating geographies, we used official brand websites or checked information on Google Maps.
By leveraging LinkedIn queries (site:linkedin.com "company domain" and complex Boolean searches), business directories, and domain-based searches, we tracked down verified individuals in leadership roles. For ambiguous company names, we performed deep scans on DNB, OpenCorporates, BizProfiles, ZoomInfo, Buzzfile, and Bizapedia.
Following the identification of decision-makers, we moved on to structured list building segmented by seller type (Amazon or Shopify), geographic location, and decision-maker role (e.g., Founder, Operations Manager, Ecommerce Lead). Each entry included critical metadata such as company website, marketplace URL, industry tags, and LinkedIn profile links to support personalized outreach. These preliminary lists formed the foundation for the subsequent enrichment and validation phases.
Our team utilized the Cognism extension to systematically append missing data and enrich seller records with verified email addresses, direct phone numbers, and mobile contacts for identified decision makers. Where Cognism yielded no results, we leveraged manual research across LinkedIn, company websites, and business directories to fill data gaps.
Each extracted Amazon and Shopify seller record underwent systematic data cleansing and verification, including business address confirmation, phone number validation, and website authenticity checks. Post-validation, we organized the entire database by country-specific segments, creating dedicated datasets for each marketplace region.
We leveraged translation tools to decode business names for Chinese sellers. Through registry lookups and intelligent keyword parsing, we identified and validated business websites. Any verified direct emails discovered during this process were promptly documented in the master database for outreach purposes.
To ensure data accuracy and relevance at scale, we combined automated validation checks with manual review by subject matter experts. Each record, especially those with complex or incomplete seller details, was cross-validated by our data specialists and project manager to verify business legitimacy and maintain contextual accuracy that automated tools alone cannot achieve.
Data privacy and protection are foundational to our data management strategy. We adhered to ISO 27001-certified security protocols and ensured industry and region-specific, applicable compliances across all research and enrichment stages. Our secure data handling practices included:
Our structured data research and validation approach ensured a clean, segmented, and outreach-ready B2B list built to support effective lead generation and targeted prospect engagement.
98% accuracy in website URL identification and seller contact data enrichment
40% increase in qualified lead generation, driven by verified and actionable contact profiles
60% reduction in data acquisition time through streamlined, scalable workflows
The project began in 2021. Following consistent delivery of high-accuracy, outreach-ready data, the client formalized a long-term partnership with our company. Now, we are their dedicated strategic partner for ongoing contact data validation and web research services.
Turn partial records into ready-to-use datasets or simply drop your requirements and we’ll create a custom prospect list and integrate it into your CRM with targeted web research and data enrichment services.