Skip to content
CRM ⇄ Analytics

Gladly to Mixpanel integration — real-time data sync

Keep Gladly and Mixpanel in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Gladly and Mixpanel

Put live Gladly data behind every dashboard and cohort in Mixpanel, and write the segments and scores Mixpanel computes back onto the Gladly record — one connection, not a nightly export.

Mixpanel is a read-only source: Stacksync reads its data in real time and delivers it into Gladly, so Gladly always reflects the current state of Mixpanel — without exports, scripts, or schedulers.

Mixpanel turns data into dashboards, cohorts, and metrics; Gladly is where customers, contacts, deals, and activity actually live and change. The two meet wherever a number is really about a specific account, segment, or stage — yet most teams feed the CRM into analytics as a nightly extract or a hand-maintained connector, so the reporting lags the business and can't be sliced by the customers and segments that matter.

Stacksync syncs Conversations, Conversation items, Agents, Topics from Gladly into Mixpanel field by field and within seconds, so every dashboard and cohort runs on current records instead of a stale copy. Because the connection runs both ways, the cohorts, scores, and metrics computed in Mixpanel write back to fields in Gladly, landing where the people working accounts can see them. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set.

Common use cases

  • 01 Read Funnel and Retention reports from the Query API into a reporting database for executive dashboards without manual CSV pulls.
  • 02 Roll Group Profiles up to account level and load them into a data model for product-qualified-account scoring.
  • 03 Push conversation outcomes into a CRM so account teams see support context on their accounts.
  • 04 Sync Gladly customer profiles with an order database so agents see purchase history and profile updates flow back.

Common sync patterns

Where Gladly accepts updates: segments and scores back on the record

Cohorts, scores, and computed metrics from Mixpanel sync onto fields in Gladly, putting the analysis where reps and owners actually work the accounts.

One customer across analytics and CRM

The same account or person is keyed consistently in both systems, so a profile or row in Mixpanel lines up with the contact or account in Gladly.

A record that outlives edits in the CRM

A continuously synced copy of Gladly's records and activity in Mixpanel keeps a queryable history even as records change or age out of the CRM.

What you can sync between Gladly and Mixpanel

Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.

Gladly objects Mixpanel objects How this pairing syncs
Agents User records used to attribute work in CX analytics. User Profiles People records (Engage) with properties like email, plan, and last-seen; read through the Engage/Query API and joined to event data. Agents is specific to Gladly and User Profiles to Mixpanel — each maps to any object or custom field on the other side.
Topics Categorization applied to conversations; the key dimension for contact-driver reporting. Group Profiles Account or workspace-level records from Group Analytics; read to roll event data up to a company or org dimension. Topics is specific to Gladly and Group Profiles to Mixpanel — each maps to any object or custom field on the other side.
Tasks Follow-up work items created from external triggers or synced for workload reporting. Cohorts Saved user segments; membership pulled through the Engage/cohorts Query API to drive downstream lifecycle lists. Tasks is specific to Gladly and Cohorts to Mixpanel — each maps to any object or custom field on the other side.
Customer profiles The central entity; merges identifiers like email, phone, and order IDs, which syncs use for matching. Funnels Multi-step conversion reports; the Query API returns computed conversion rates rather than raw event rows. Customer profiles is specific to Gladly and Funnels to Mixpanel — each maps to any object or custom field on the other side.
Conversations Each customer's continuous timeline; status and outcomes sync to CRMs and warehouses. Retention Return-usage reports read from the Query API as aggregated cohort tables, not row-level records. Conversations is specific to Gladly and Retention to Mixpanel — each maps to any object or custom field on the other side.
Conversation items Individual messages across voice, SMS, chat, and email attached to the conversation. Segmentation Property-based event breakdowns from the Query API, returned as time-series aggregates for reporting. Conversation items is specific to Gladly and Segmentation to Mixpanel — each maps to any object or custom field on the other side.

How changes propagate between Gladly and Mixpanel

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

Gladly Mixpanel Sub-second propagation

DetectionGladly notifies Stacksync of record changes through webhook events. Webhook event subscriptions for conversation and customer events, supplemented by polling and report exports.

DeliveryMixpanel does not accept inbound record writes, so this direction carries requests rather than records: Mixpanel's output flows back as field updates on the originating Gladly records.

Mixpanel Gladly Interval-based propagation

DetectionStacksync polls Mixpanel for changes on an incremental schedule, reading only records changed since the previous pass. Pull-based: the Raw Data Export API is polled over an event-time date window (from_date/to_date).

DeliveryEach detected change is written to Gladly through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Gladly: Subject to the platform's API rate limits.
  • Mixpanel: Raw Data Export API allows 60 queries/hour, 3/second, and up to 100 concurrent; the Query API allows 60/hour with 5 concurrent; exceeding limits returns a 429.
What ships with Gladly ⇄ Mixpanel

Connect Gladly and Mixpanel for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Gladly–Mixpanel connection.

Real-time

Real-time sync

Changes in Gladly or Mixpanel instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Gladly or Mixpanel data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Gladly or Mixpanel record.

Observability

Monitoring

Track your Gladly ⇄ Mixpanel sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Gladly and Mixpanel.

How the Gladly and Mixpanel connectors work

Gladly

Integration surface
REST API
Authentication
API tokens used with basic authentication tied to an agent email
Change detection
Webhook event subscriptions for conversation and customer events, supplemented by polling and report exports
Capabilities
read · write · webhooks
Rate limits
Subject to the platform's API rate limits

Mixpanel

Integration surface
Ingestion API, Query API, and Raw Data Export API (REST)
Authentication
Service Account with HTTP Basic Auth (username + secret) scoped by project_id; the legacy Project Secret method is deprecated with end-of-life March 3, 2027
Change detection
Pull-based: the Raw Data Export API is polled over an event-time date window (from_date/to_date); no CDC or push change feed, though Data Pipelines can schedule warehouse exports
Capabilities
read
Rate limits
Raw Data Export API allows 60 queries/hour, 3/second, and up to 100 concurrent; the Query API allows 60/hour with 5 concurrent; exceeding limits returns a 429
How it works

How to connect Gladly to Mixpanel — three steps, no code

Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.

  1. 01

    Connect your apps

    Authenticate Gladly and Mixpanel with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Gladly connected
    Mixpanel connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Gladly and Mixpanel objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Gladly ⇄ Mixpanel
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Gladly Mixpanel
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Gladly and Mixpanel integration FAQ

SECURITY

Security teams trust Stacksync

As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.

SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

Related integrations

Every pair below is a real-time, two-way sync. Search all 343 integrations available for Gladly and Mixpanel.

Popular · 7 of 343
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.