Real-time sync
Changes in Gladly or Mixpanel instantly reflect in both systems. No stale data, no manual imports.
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.
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.
Cohorts, scores, and computed metrics from Mixpanel sync onto fields in Gladly, putting the analysis where reps and owners actually work the accounts.
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 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.
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. |
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.
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.
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.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Gladly–Mixpanel connection.
Changes in Gladly or Mixpanel instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Gladly or Mixpanel data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Gladly or Mixpanel record.
Track your Gladly ⇄ Mixpanel sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Gladly and Mixpanel.
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.
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.
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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time integration between Gladly and Mixpanel — Mixpanel is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Gladly and Mixpanel records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Gladly and Mixpanel connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Gladly–Mixpanel integration in-house.
Yes — Stacksync ships production-grade connectors for both Gladly and Mixpanel. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Gladly: Webhook event subscriptions for conversation and customer events, supplemented by polling and report exports. On Mixpanel: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Mixpanel side: User Profiles, Group Profiles, Cohorts, Funnels, plus custom fields where Mixpanel exposes them. On the Gladly side: Conversations, Conversation items, Agents, Topics. Stacksync auto-detects both schemas and converts types between the two systems.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 343 integrations available for Gladly and Mixpanel.