{
  "type": "recipe",
  "url": "https://implisense.com/en/recipes/upload-your-customer-list",
  "lang": "en",
  "title": "Upload your own customer list from Excel",
  "question": "How do I match my own customer list against company data?",
  "subtitle": "Turn a CRM export into companies you hold register, financial and structural data on.",
  "description": "Match an Excel or CSV export from your CRM against 2.3 million German companies. The file is read in the browser and never reaches our server.",
  "persona": "sales",
  "surface": "platform",
  "timeEstimate": "10 min",
  "entryPoint": "/en/lists/upload",
  "costCredits": "0",
  "tier": "free",
  "steps": [
    {
      "position": 1,
      "name": "Drop the file in",
      "text": "Drag an .xlsx, .csv or .tsv file into the field, up to 10 MB. A typical CRM export with its warts is exactly right: missing legal forms, typos, rows without a city."
    },
    {
      "position": 2,
      "name": "Map the columns",
      "text": "Company name, city, postcode, website, register number and VAT ID are proposed from the header row; you confirm or correct. Columns holding contact-person names are deliberately left out."
    },
    {
      "position": 3,
      "name": "Run the match",
      "text": "Resolution runs on a scoring ladder: VAT ID and LEI weigh most, then the register triple, the domain, name plus city, and last a bare name match. When a name is ambiguous we actively subtract points instead of guessing."
    },
    {
      "position": 4,
      "name": "Review the hits",
      "text": "The result comes in three bands: confidently matched, uncertain, no match. Look at the uncertain ones — an honest „I do not know“ is worth more than the wrong company."
    },
    {
      "position": 5,
      "name": "Save as a list",
      "text": "Name the list and create it. From there it is ready for the list profile, news research and the similarity search."
    }
  ],
  "datePublished": "2026-09-07",
  "dateModified": "2026-09-07"
}