Analytics data repair

Fix your event CSV before it breaks your dashboards.

Scan product analytics exports for timestamp errors, naming chaos, missing properties, and duplicates — then export a clean bundle with human review before import.

Data quality scan app_events_january.csv · 124,820 rows
Analytics Data Quality Score
82/100

Row Status Breakdown

  • Ready rows 96,204
  • Auto-fixed rows 18,311
  • Needs review 8,912
  • Blocked rows 1,393

Issues by Category

Timestamp issues
12,406
Missing properties
7,821
Event naming
4,218
Duplicate candidates
3,104
User ID issues
2,144
Schema conflicts
92
Blocked rows
1,393

Event Category Coverage

Engagement
42
Activation
18
Admin
16
Unknown
14
Retention
11
Billing
9
Integration
8

Event Quality Table

EventRowsCategoryIssuesStatus
Sign Up Completed18,420Activation621Review
Dashboard Viewed42,118Engagement1,204Ready
Trial Started6,811Activation448Fixed
Payment Failed931Billing18Ready
feature_use3,104Unknown3,104Review
Workflow

How it works

Four steps from messy export to import-ready analytics data.

01

Upload your analytics CSV

Upload product events, usage exports, app logs, tracking data, or warehouse query results.

02

Choose your destination

Select Mixpanel, Amplitude, Segment, PostHog, BigQuery, Snowflake, or a custom schema.

03

Review the data quality scan

FixCSVData finds timestamp problems, schema conflicts, broken event names, missing properties, duplicate events, and user ID issues.

04

Export clean data

Download clean CSV, JSONL, schema mapping, tracking plan summary, and data quality report.

Full workflow →

Capabilities

What FixCSVData checks

Seven checks that catch the issues blocking Mixpanel imports and breaking warehouse loads.

01

Event schema detection

Automatically maps user IDs, event names, timestamps, properties, session IDs, account IDs, and device fields.

02

Event name normalization

Groups signup_complete, Signed Up, sign-up-completed, and SignupCompleted into one clean event name.

03

Timestamp repair

Converts inconsistent date formats, Unix timestamps, and ambiguous time values into a single consistent format.

04

Property cleanup

Normalizes plan names, device types, boolean values, source fields, and metadata keys.

05

Duplicate event detection

Identifies repeated events triggered by the same user within the same timestamp window.

06

User ID checks

Flags missing IDs, mixed ID formats, anonymous users, and conflicting account IDs.

07

Tracking plan summary

Generates an organized event taxonomy by activation, engagement, retention, billing, admin, and integration.

Pricing

Free scan. Pay when you export clean data.

Free Scan
$0

Up to 10,000 rows

  • Quality score
  • First 30 issues shown
  • Row status summary
Start with free scan
Startup
$149/mo

1,000,000 rows / month

  • Team workspace
  • Mixpanel & Amplitude templates
  • Priority review
Start trial
Data Team
$399/mo

5,000,000 rows / month

  • Team account
  • BigQuery & Snowflake maps
  • SSO & audit logs
Contact sales
Consultant
$799/mo

Multi-client workspace

  • White-label reports
  • API access
  • Dedicated support
Contact sales

Compare all plans →

Clean your event data before it becomes a dashboard problem.

  • Upload CSV
  • Get data quality score
  • Review schema and event issues
  • Export clean analytics data