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Sample delivery

See a synthetic delivery package.

Everything on this page is invented. No customer, logo, quote or import shown here is real, and none of this data was ever imported anywhere.

Synthetic sample data

Sample report

The report of a free data health check on one invented file of 12,480 contacts. A duplicate candidate group is worth reviewing; it is not a confirmed duplicate.

What the synthetic health check measured
MeasureCountOut ofShare
Contacts in the file12,480Not applicableNot applicable
Contacts in duplicate candidate groups42812,480 contacts3.4%
Contacts whose email address is not valid19112,480 contacts1.5%
Contacts with no company1,13712,480 contacts9.1%
Target settings to fix before an import3Not applicableNot applicable

Duplicates, from signal to change

Three counts in the contacts file are easy to confuse: the groups the check found, the groups your team approved, and the rows unified as a result.

Duplicates in the synthetic contacts file
What is countedSynthetic projectWhat it means
Duplicate candidate groups207 groups holding 428 contactsFound by the free data health check. A signal to review: nothing is unified yet.
Unifications your team approved200 of 207 groupsEach group is one proposal in the plan. Your team kept 7 groups apart, and their contacts are delivered as they were.
Contact rows unified with approval214Each approved group keeps one row, and the others are unified into it with a trace in the manifest: 12,480 source rows become 12,266 delivered rows.

The manifest, explained

The manifest lists every output file, its row count and the source rows it came from. The counts add up: 12,480 source rows, less 214 unified with approval, leave 12,266 output contacts. Each of the 214 is listed with the row it was unified into, so nothing is removed without a trace.

The manifest of the synthetic delivery
Output fileRowsSource rowsUnified with approval
contacts-clean.csv12,26612,480214
companies-clean.csv2,9513,204253

The importer guide

The guide tells your team what to import, in which order, and what to check afterwards.

  1. Import the companies file first, so that contacts can be linked to them.
  2. Import the contacts file with the settings the guide lists.
  3. Import the associations file that links each contact to its company.
  4. Compare the counts in the destination with the counts in the report.

What this sample is not

The sample shows the format of a delivery. It is not a check of your own data: the free data health check is.