Integrate for the follow-up, not for the archive
The purpose of chat-in-your-CRM is that the next human who touches the contact knows the conversation happened and what it decided. That framing kills most of the scope: you do not need every message mirrored in real time — you need the right events, attached to the right contact, with the transcript reachable in one click.
The three events worth syncing
- Chat completed, with contact info — create or update the contact, log an activity with a link to the transcript. This one event is 80% of the value.
- Lead-shaped chat — a conversation on a pricing or product page, or one your team tags as sales: create the lead/deal, not just the activity, so it enters the pipeline instead of the archive.
- Offline message — these are follow-up promises; land them as tasks with due dates, because a promise in an inbox is a promise on a timer.
Everything else — typing events, per-message mirroring, visitor page-views streamed into the CRM — is volume without decisions attached. Skip it until someone names the report that needs it.
Transcript: link, don't blob
Pasting full transcripts into CRM note fields bloats records, breaks CRM search with chat noise, and duplicates data you already store. Log a summary line (page, duration, outcome, one-sentence gist) plus a link to the transcript in your chat history. The chat platform stays the system of record for conversations; the CRM stays the system of record for relationships. Everyone searches the right tool.
Identity matching, honestly
Email is the join key — which is one practical reason the pre-chat form asks for it. For chats with no email: log them unattached rather than invent fuzzy matches (a wrong merge is worse than a miss), and let the AI or agent ask for email at the moment it is natural ("want me to send you this transcript?"). Your match rate then improves at the source instead of in the plumbing.
The one-afternoon build order
- Thinnest slice first: webhook on chat completion -> create activity on matched contact. Ship it, watch a week of real traffic.
- Then leads: add the lead-shaped branch once you see how your real conversations distribute.
- Then backfill: pull recent history through the API so the CRM does not start from zero.
Resist building all three at once — the completion-activity slice teaches you your own data shapes (missing emails, duplicate contacts) before those surprises multiply across three code paths.
The MyLiveChat surface
The REST API v1 and webhooks are public and documented — transcripts, visitors, and events are all reachable without a support ticket, and the docs are readable BEFORE you create an account (evaluate the integration first; it is checklist item #4 for a reason). Flat pricing means the integration's API traffic is not a metered line item.
Plan for the sync failing, because it will
Every integration that works on your laptop eventually meets a CRM that is rate-limiting you, a field that was renamed, or a network timeout in the middle of a write. The difference between an integration people trust and one they quietly stop believing is entirely in how it behaves on a bad day, and that behaviour has to be designed before launch rather than patched in after the first silent gap.
Three habits cover most of it. Make every write idempotent by sending a stable key derived from the chat itself, so a retry updates the same record instead of creating a second one; duplicate contacts are the most common damage an eager retry loop does. Queue and retry rather than firing a single request inline, with a few attempts spaced further apart each time, because most failures are transient and a retry a minute later usually succeeds. And keep a dead-letter list of the writes that never landed, somewhere a person will actually look, because a failure nobody sees is indistinguishable from a chat that never happened.
The failure mode to fear is not the loud one. A broken integration that throws errors gets fixed the same day. An integration that succeeds for ninety-four percent of chats and drops the rest silently can run for a year while the sales team slowly concludes the chat channel does not produce leads.
What not to sync
The instinct with an integration is to push everything, on the theory that more data is better. In practice a CRM record cluttered with every visitor who opened the widget makes the records that matter harder to find, and it drags whatever your CRM charges for contact volume along with it.
- Chats with no identity. If you have no email or account match, there is nothing to follow up. Log it for analytics, not as a contact.
- Pure support chats that resolved. A password reset that ended happily is not a sales signal. Sync those to your helpdesk if anywhere, not to the pipeline.
- Anything the visitor typed that you would not want in a report. Card numbers, government identifiers, credentials. Filter on the way out, not later.
- Every keystroke of the transcript. Push a link and a short summary; the full text lives in chat where it is searchable and governed by your retention policy.
What to measure
Watch three numbers for the first month. Match rate: of chats that captured an email, what share attached to an existing CRM record instead of creating a new one. A low match rate usually means your identity matching is too strict, not that the visitors are new. Write success rate: successful writes over attempted writes, which should sit very close to one hundred percent once retries are in place. Follow-up rate: of the chat-sourced records created, what share a human actually touched within a week. That last one is the honest test of the whole project. If nobody works the records, the integration is a data pipeline into a place data goes to die, and the fix is a routing or ownership conversation rather than more code.
Once events are flowing, the question stops being what to sync and becomes what to do when one does not arrive. The retry schedule and the delivery log are what you will actually debug against.