Marketing Attribution (JSON)
Synthetic multi-touch attribution click rows with UTM fields — for marketing analytics importers. JSON twin.
[
{
"click_id": "clk_0001",
"ts": "2026-01-10T09:00:00Z",
"campaign": "spring_sale",
"channel": "paid_search",
"utm_source": "google",
"utm_medium": "cpc",
"conversions": 0,
"revenue": 0.0
},
{
"click_id": "clk_0002",
"ts": "2026-01-10T12:00:00Z",
"campaign": "spring_sale",
"channel": "social",
"utm_source": "meta",
"utm_medium": "paid",
"conversions": 1,
"revenue": 29.5
},
{
"click_id": "clk_0003",
"ts": "2026-01-10T15:00:00Z",
"campaign": "brand_always",
"channel": "organic",
"utm_source": "bing",
"utm_medium": "organic",
"conversions": 2,
"revenue": 59.0
},
{
"click_id": "clk_0004",
"ts": "2026-01-10T18:00:00Z",
"campaign": "newsletter",
"channel": "email",
"utm_source": "braze",
"utm_medium": "email",
"conversions": 3,
"revenue": 88.5
},
{
"click_id": "clk_0005",
"ts": "2026-01-10T21:00:00Z",
"campaign": "partner",
"channel": "referral",
"utm_source": "partner",
"utm_medium": "affiliate",
"conversions": 0,
"revenue": 0.0Specifications
- Records
- 10
- Schema
- click_id, ts, campaign, channel, utm_source, utm_medium, conversions, revenue
What is a .json file?
JSON (JavaScript Object Notation) is a lightweight, text-based data-interchange format representing objects, arrays, strings, numbers, booleans, and null. It is language-independent, human-readable, and the dominant format for web APIs and configuration. It requires a single well-formed root value.
How to use this file
Use an example JSON file to test parsers and serializers, schema validation, Unicode and number-precision handling, and API request or response processing.
How to use this file for testing
“Marketing Attribution (JSON)” is a deterministic Novus Examples fixture for Data import, JSON parsing. Realistic faker-generated datasets with documented schemas for testing import and ETL flows.
Documented properties for this file: 10 records · schema: click_id, ts, campaign, channel, utm_source, utm_medium, conversions, revenue. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.
Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such — expect parsers to fail loudly rather than silently accept them.
Data fixtures document their exact quirks — delimiters, encodings, null handling, schema, and row counts — in the spec table. Point your parser or importer at the file and assert it handles the documented edge cases; clean and deliberately-messy siblings make before/after diffs straightforward.
Code examples
import json
with open("attribution.json") as f:
data = json.load(f)
print(type(data), len(data))Related files
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Generated by generation/data_domains_wave_c.py. Free for any use, no attribution required — license.