Migrate from Pendo to PostHog

Prior to starting a historical data migration, ensure you do the following:
Create a project on our US or EU Cloud.
Sign up to a paid product analytics plan on the billing page (historic imports are free but this unlocks the necessary features).
Set the historical_migration option to true when capturing events in the migration.

Migrating data from Pendo is a two step process:

Export data via Pendo Data Sync
Convert Pendo data to the PostHog schema and capture in PostHog

1. Export data via Pendo Data Sync

Pendo Data Sync enables you to export data to a warehouse like S3, Azure, or Google Cloud. This requires their highest Ultimate tier of pricing. See their docs for details on how to set it up.

This exports events, features, guides, pages, and more in a .avro format which we can then convert and capture into PostHog.

Want to make this guide better (and a $75 merch code)? We're looking for sample Pendo data from their Data Sync or aggregations API to improve this guide. Email ian@posthog.com if you have access and are willing to share.

2. Convert Pendo data and capture it in PostHog

The schema of Pendo's exported event data is similar to PostHog's schema, but it requires converting to work with the rest of PostHog's data. You can see details on Pendo's schema in their docs and events and properties PostHog autocaptures in our docs.

If you have done one single historical export, you can query the allevents.avro table to get the event data. With it, you can then go through each row and convert it to PostHog's schema. This requires converting:

Event names like load to $pageview.
Properties like url to $current_url
Event browserTimestamp to an ISO 8601 timestamp

Once this is done, you can capture the data into PostHog using the Python SDK or the capture API endpoint with historical_migration set to true.

Here's an example version of a Python script reading from an allevents.avro file:

Python

from posthog import Posthog
from datetime import datetime
import json
from avro.datafile import DataFileReader
from avro.io import DatumReader

posthog = Posthog(
  '<ph_project_api_key>', 
  host='https://us.i.posthog.com',
  debug=True,
  historical_migration=True
)

key_mapping = {
  'browser': '$browser',
  'eventSource': '$lib',
  'language': '$browser_language',
  'latitude': '$geoip_latitude',
  'longitude': '$geoip_longitude',
  'elementPath': 'elements_chain',
  'region': '$geoip_subdivision_1_name',
  'url': '$current_url',
  'userAgent': '$user_agent',
  'country': '$geoip_country_name',
  'remoteIp': '$ip',
  'pollId': 'survey_id',
  'pollResponse': 'survey_response',
  'eventType': '$event_type'
}

event_mapping = {
  'load': '$pageview',
  'pollResponse': 'survey sent',
  'click': '$autocapture',
  'change': '$autocapture',
  'focus': '$autocapture'
}

omitted_keys = [
  "accountId",
  "browserTimestamp",
  "destinationStepId",
  "eventId",
  "version",
  "matchableId",
  "oldVisitorId",
  "periodId",
  "visitorId",
  "accountId",
]

with open("pendo_events.avro", "rb") as file:
  reader = DataFileReader(file, DatumReader())
  for event in reader:
    # Capture the event
    properties = {}
    for key, value in event.items():
      if value is None:
        continue
      if key in omitted_keys:
        continue
      elif key in key_mapping:
        properties[key_mapping[key]] = value
      elif key == 'propertiesJson':
        properties = json.loads(value)
        for key, value in properties.items():
        if key in key_mapping:
          properties[key_mapping[key]] = value
        else:
          properties[key] = value
      else:
        properties[key] = value

    # Convert milliseconds to seconds then to ISO 8601
    timestamp = datetime.utcfromtimestamp(event['browserTimestamp'] / 1000)
    
    event_name = event['eventType']
    if event_name in event_mapping:
      event_name = event_mapping[event_name]

    distinct_id = event['visitorId']

    posthog.capture(
      distinct_id=distinct_id,
      event=event_name,
      properties=properties,
      timestamp=timestamp
    )

  reader.close()

This script may need modification depending on the structure of your Pendo data, but it gives you a start.

1. Export data via Pendo Data Sync

2. Convert Pendo data and capture it in PostHog

Questions?

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Ian Vanagas