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Using The Hub

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Accessing The Hub

Screenshot2025 12 25at9 46 35 The Hub is your central workspace for managing all prospecting data.

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Managing Exported Datasets

View Your Datasets All exported data appears in the Hub with:
  • Dataset name (auto-generated based on search)
  • Entity count
  • Export date
  • Credit cost
  • Status (ready, processing, error)
Re-Import Previous Searches 
Load my dataset from last week about SaaS CTOs
The AI will:
  1. Search your Hub for matching datasets
  2. Show available options if multiple matches
  3. Load the data into your current session
  4. Allow you to enrich, filter, or export again

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Excluding Entities

Automatic Exclusion Every export automatically adds entities to your exclusion list, preventing duplicates in future searches. Manual Exclusion 
Exclude all prospects from my "Q4 2024 Outreach" dataset
Using Exclusion Lists 
Find new VPs of Sales at fintech companies, but exclude anyone I've already exported
AI automatically applies your default exclusion list.

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Uploading CSV Files

Use Cases for CSV Upload:
  1. Enrich your existing data: Upload company names/domains to get firmographics, tech stack, contacts
  2. Find contacts at your accounts: Upload customer list to find decision-makers
  3. Clean and standardize data: Upload messy data to get standardized Explorium IDs and enriched fields
How to Upload Screenshot2025 12 25at9 50 42 Step 1: Prepare Your CSV Your CSV should contain at least one of these fields: For businesses: 
business_name
business_website
business_domain
business_id
For prospects: 
prospect_full_name
prospect_business_name
prospect_email
prospect_phone_number
prospect_linkedin
prospect_id
Step 2: Upload to Hub
  1. Map your CSV columns to Explorium fields
  2. Click “Lists” in the Hub
  3. Drag and drop your file or click to browse
  4. Review mapping and confirm upload
Step 3: Process Your Data Once uploaded, tell the AI what you want: 
Find all C-level executives at the companies in my uploaded list <list name>
Or: 
Enrich my uploaded companies with technographics and funding data
Step 4: Export Results Review the sample, approve costs, and export as usual.

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Working with Referenced Data

Refining Previous Searches 
enrich my last dataset of SaaS companies with technographics
AI enriches your dataset with technographics Cross-Referencing Datasets 
Find prospects at companies from my "Series B SaaS" dataset who joined in the last 6 months
Combines company data from one search with prospect filtering in another.