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Zoho and Jane Integration for a Mental Health Practice

The Insight Clinic runs a multi service mental health and ABA practice with appointments in Jane and operations in Zoho CRM. Clixlogix designed the PHI boundary first, then built the intake foundation, the appointment sync layer, and a reconciled reporting layer that closed on formal client acceptance.

Zoho CRM and Jane integration for a multi service mental health practice
Home / Case Studies / A Mental Health Practice Gains Reconciled Reporting and Ad to Session Attribution on Zoho

A Mental Health Practice Gains Reconciled Reporting and Ad to Session Attribution on Zoho

Industry
Healthcare & Life Sciences
Geography
Whitby, Ontario, Canada
Cooperation Period
8 months, 4 phases

Summary

The Insight Clinic runs a multi service mental health and applied behavior analysis practice, serving counselling and ABA clients across a growing case load. Appointments live in Jane. Sales and intake operations live in Zoho CRM. Lead demand comes through a mix of paid Meta campaigns, organic search, referrals, and the clinic’s own community presence.

Before the Clixlogix engagement, intake was fragmented across a website form, phone lines, missed calls, and paid ad channels. Appointment activity in Jane did not surface into CRM in any structured way. Historical Jane records sat outside the CRM entirely. There was no shared definition across operations, finance, and clinical intake for what counted as an Open Lead, a Closed Lead, a converted client, or a first completed session. Executive reporting was assembled by hand each month, with numbers reconciled across three systems before any figure could be defended.

Clixlogix delivered the buildout in phased releases across Discovery and three implementation milestones. Discovery designed the Jane to Zoho security boundary before any code was written, so clinical records stayed inside Jane and out of every other tool in the stack. The build then stood up the CRM intake foundation, expanded the sync layer to bring appointment activity, Meta ad channels, and QuickBooks into a coordinated flow, and closed with a reporting layer of reconciled dashboards across Zoho CRM Reports and Zoho Analytics.

The engagement completed following a structured client owned UAT that walked every KPI definition against the clinic’s own ground truth, and closed on formal client acceptance. The practice now operates on a single spine, with Jane preserved as the clinical system of record and Zoho as the operational source of truth for pipeline, marketing, and finance.

Customer

Vielka Almanzar Bautista founded The Insight Clinic in Whitby, Ontario in 2019, and remains its CEO and Clinical Director. Bilingual in English and Spanish, she trained in Clinical and Health Psychology at ISEP in Spain and practices CBT, EMDR, and neurofeedback alongside running the business. The clinic has since grown to two locations and roughly thirty staff across counselling, ABA therapy, neurofeedback, and assessments, with three regional awards for best mental health service in the Durham area along the way.

Vielka approached Clixlogix in January 2026. The original ask was an AI layer over Zoho that could update CRM records automatically, enrich sales data, and summarize meetings. The diagnostic pass in Discovery identified that the value from an AI layer would compound only if the underlying operating spine was clean first. A structured lead lifecycle through Deal conversion, appointment activity flowing cleanly from Jane, and marketing attribution holding across the funnel had to exist before any LLM could add value inside CRM. The foundation had to come first. The engagement across Discovery and three implementation milestones built that foundation, which is what an AI layer would need underneath it.

The client side project ownership sat with Marcell Almanzar, Head of Sales, Business Intelligence at the clinic, who Vielka named to lead the engagement from day one. He engaged through every implementation phase, moved fast on feedback, surfaced edge cases early, and pushed for the precision the reporting layer needed to be defensible in leadership conversations. He walked dashboard totals against the underlying CRM records before acceptance, and worked with Clixlogix on KPI definitions until each metric read the same number across every surface. That level of client side involvement is what lets a delivery team hold automation and reporting to a standard that survives an audit.

The Insight Clinic psychotherapy services page

The practice is inquiry driven at the front end and appointment driven at the back end. Nothing lands on the schedule without an intake conversation. Every prospective client moves through a pipeline that starts with an inquiry and ends with a first completed session, and the operational question at every stage is whether the systems agree with each other about where that person actually is.

Business Challenge

Industry context

Mental health and ABA practices sit at the intersection of two operational forces that off the shelf tooling rarely models cleanly. On one side, clinical operations run inside a purpose built practice management platform. Jane is the leader in Canada for a reason. It owns the appointment book, the client chart, the billing to insurer flow, and every piece of PHI that a regulator will ever ask about. On the other side, marketing and pipeline operations run inside a general purpose CRM like Zoho, where lead capture, campaign attribution, sales follow up, and executive reporting are all supposed to happen. The two systems have very different data models and very different security requirements, and the seam between them is where most growing practices lose visibility.

The practice hits a scale ceiling when leadership can no longer answer four questions from a single dashboard:

  • What paid marketing produced this month
  • How many of those inquiries became scheduled clients
  • What the case load looks like right now
  • How much revenue is booked but not yet delivered

Answering those questions manually across Jane and Zoho consumes ops and finance hours that a growing practice cannot afford to spend on data reconciliation.

Sector Perspective

Healthcare practice management vendors and general purpose CRMs are architected for different jobs. The clinical system is optimised for the patient encounter and the regulatory record. The CRM is optimised for the sales and marketing lifecycle. Neither is engineered to be the other's authoritative counterpart, and neither vendor is incentivised to build a clean two way sync into the other. The Canadian mental health services sector has grown fast enough over the last five years that this seam has become the single most common ceiling on operational scale. The practices that get past it are the ones that build the integration layer as an intentional piece of architecture, not as a set of manual copy paste routines run by an ops coordinator.

Operating stack, fragmented across systems

Small healthcare practices that grow into Jane for clinical operations while adopting Zoho for CRM almost always end up with a brittle set of handshakes across the stack, and a second brittle handshake between operational finance and the statutory accounting system. Discovery walked every application in the clinic’s Zoho environment and mapped exactly where the seams were opening.

  • Jane appointment activity did not surface into CRM in a structured way. Case load, session cadence, and first appointment activity all lived in Jane, with no reliable reflection inside the Zoho Deal record.
  • Historical Jane data sat outside the CRM entirely. Any pipeline analysis over more than the current period had to be reconstructed by hand from Jane exports.
  • Billing status lived outside the CRM. Invoice and payment activity ran inside QuickBooks. Billing reconciliation was tracked in spreadsheets outside the CRM, without a live view inside the CRM record of what was ready for billing, what had been invoiced, and what had been paid.
  • WorkDrive governance was informal. Folder structure, naming, and role permissions had grown organically as the team expanded, with no shared model for how operational documents should be organised.

Front end intake, no single point of capture

Growing practices treat the website as a lead capture card while the real intake conversation happens on the phone. Discovery watched a full inbound cycle and saw the specific fields that were falling out of it.

  • Multiple intake channels, no single owner. Website contact forms, phone calls, missed calls, Meta ads, and referrals all fed different queues. No single view aggregated them.
  • Missed calls generated duplicate lead records. The incoming call automation created a new Lead every time it fired, which meant a single caller who dialled twice showed up in the CRM as two separate prospects.
  • Service category was captured inconsistently. Whether a caller was asking about counselling, ABA therapy, or another program was not consistently captured at intake, which broke the routing rules downstream.
  • Lead source did not survive an upsert. A Lead attributed to Paid Advertising could be quietly reset to Website Form when the same person later submitted through a different channel, which broke the marketing attribution the exec reporting depended on.

Communication and appointment approvals, no shared spine

The intake conversation and the first appointment approval are where growing practices lose time and audit trail together. Discovery mapped every hand off point across ops, clinical intake, and finance.

  • No shared definition of an Open Lead. Operations, finance, and clinical intake each carried a different picture of what an active prospect looked like, which meant executive numbers were interpreted differently in every conversation.
  • No dedicated closure event. A Lead that reached a Not Qualified, Not Interested, or Lost outcome had no dedicated date field marking that transition, so closed lead reporting was dated by proxy fields that did not always match reality.
  • First session activity was not preserved as a historical event. A completed first session that later progressed into further appointments stopped being counted as a first session, because the reporting model looked at current state rather than the historical event. This broke every cohort analysis the team tried to run.

Cash conversion and clinical funnel, misaligned across systems

For a practice that runs on session throughput, the alignment between what was invoiced and what was actually delivered clinically is where working capital either flows cleanly or accumulates as friction.

  • Deal reconciliation between Zoho and Jane was informal. Stale Deals from earlier phases stayed active in the CRM even when the underlying case had closed on the Jane side, which inflated the pipeline and overstated what was actually open.
  • The sync layer created false duplicates. Historical records resurfaced on each cycle and forced manual reconciliation by finance against the source of truth.
  • Billing status was not visible on the CRM record. Whether a Deal was ready for billing, invoiced, or paid required a lookup in a separate system. Basic billing questions could not be answered from the same CRM record used for pipeline work, which pushed reconciliation into spreadsheets.

Executive visibility, no shared view of the practice

Growing practices tend to run first and count later. Decisions get made ahead of the numbers because assembling them takes time that a growing practice does not have, and by the time the numbers are assembled the picture has moved.

  • No reliable exec view of pipeline, conversion, or session activity. Leadership had no scheduled visibility into Leads Created, conversion rate to Contact, first appointment activity, or case load by service line.
  • No attribution funnel from ad spend to booked appointment. A dollar going into a Meta campaign could not be followed through campaign, ad set, and creative into a specific Lead record and onward to a first completed session. Marketing spend was evaluated on inputs, not outcomes.
  • KPI definitions were not agreed across teams. The same question asked of two dashboards returned two different numbers, and neither could be defended without a manual walk through the underlying filters.

Solution

Clixlogix delivered the buildout in five workstreams across the four phases. Track 1 designed the Jane to Zoho security boundary and cleaned the operating stack. Track 2 stood up the lead intake and CRM foundation. Track 3 built the appointment sync layer and the duplicate prevention model that keeps the pipeline clean. Track 4 delivered the marketing attribution and executive reporting layer. Track 5 ran a structured client owned UAT that reconciled every KPI against the clinic’s own ground truth and closed on formal acceptance. Every track shipped in phased releases so the operations team kept running on the live stack while each layer went into production.

System architecture after the build, with the PHI boundary around Jane and Zoho CRM as the operational spine

Fig 1 – System Architecture After the Build

Track 1: Discovery, security boundary, and operating stack

Fixes the fragmentation across Jane, Zoho, WorkDrive, and QuickBooks and locks the design decisions that every downstream automation has to respect.

  • The engagement opened with a fixed Discovery phase that mapped the lead journey across every intake channel, defined the CRM stage blueprint, documented the SLA and follow up rules, and produced the Zoho CRM Phase 1 configuration plan.
  • Discovery also produced a current sync map showing where data moved manually, where middleware carried it, and where Jane touched CRM. The design of the target sync layer flowed directly from that map.
  • The security posture was designed in Discovery, before any code was written. PHI stays on Jane. Zoho holds non PHI operational data only. WorkDrive holds shared operational documents with a defined role permission model. This boundary became the first architectural constraint on every downstream automation.
  • WorkDrive governance was formalised with folder structure, naming conventions, and role permission requirements documented per team role.

Structural Diagnosis

The security boundary between a clinical system of record and an operational CRM is the single most important architectural decision in a healthcare integration project. Designed in Discovery, it constrains every downstream automation and produces a clean audit trail. Retrofitted after the build, it either forces expensive rework or gets quietly abandoned. Healthcare regulators do not care which of the two happened. They only care about the resulting posture. This is why every successful practice integration begins with the boundary, then builds the workflow on top.

Track 2: Lead intake and CRM foundation

Fixes the fragmented multi channel intake, the duplicate lead risk carried by call automations, and the inconsistent service category capture.

The intake foundation covers four functional areas:

  • Multi channel lead capture across email, website form, phone, missed call, and paid ad channels, standardised at the point of ingest
  • Service category routing so counselling and ABA inquiries reach the right intake queue with the right response SLA
  • Lead response SLA with task automation and escalation for the intake team, and dedicated closure event handling for lost or disqualified leads
  • Clinical system to CRM data flow for active case load context, historical continuity, and case pipeline alignment

Every automation went through sandbox first. Production go live followed only after formal client sign off, and only after the operations team had validated the intake flows against their own live workflows. For a practice that takes real appointments every day, a sync bug in production translates directly into a lost client.

Track 3: Appointment sync and duplicate prevention

Fixes the sync loop that created false duplicates, the stale record problem in the CRM pipeline, and the alignment between the clinical system and the CRM Deal.

  • Appointment sync between the clinical system and the CRM was built on a serverless layer, so appointment activity surfaces as CRM Deals with the correct stage and next appointment date
  • Sync hygiene keeps historical records from resurfacing on each cycle and drifting the pipeline reports out of alignment
  • Paid demand channels including Meta and partner sources were wired into the intake foundation with attribution retained through record updates
  • Billing visibility from the accounting system was wired into the CRM through custom fields for invoice and payment status, operational views for records at each billing stage, and a QuickBooks to Zoho CRM sync that keeps invoice and payment updates reflected on the CRM record. The scope was operational visibility, not automated invoice creation from CRM
  • Duplicate prevention on the incoming call automation closed the gap that had allowed one caller to generate multiple lead records

Compounding Design Decision

Sync hygiene between a clinical system and a general purpose CRM is a small category of design decision with a large downstream effect. Small rules that keep historical records from drifting back into current reporting look mundane in isolation. Three months later, when the executive team is reading month over month conversion trends and expecting those trends to be defensible under audit, the value of the discipline becomes obvious. This is a category of design decision that separates integrations that scale from integrations that decay.

Track 4: Marketing attribution and executive reporting

Fixes the missing attribution funnel from ad spend to booked appointment and the absence of reconciled executive reporting.

Marketing attribution reporting covers:

  • Attribution capture from campaign, ad set, and creative through to the CRM record
  • Reports for lead volume by channel, source, service category, and form
  • Conversion reporting from lead to contact by channel and source
  • Attribution retention across the lead lifecycle

Executive reporting covers:

  • Lead volume and status against clean definitions
  • Conversion reporting through the funnel from inquiry to converted client
  • Active engagement population against a rolling window
  • Milestone events preserved for cohort analysis

Weekly and monthly KPI reporting cadence was set up across Zoho CRM Reports and Zoho Analytics, with reconciled KPI definitions so the same metric reads the same number across every surface and the scheduled reports.

Track 5: KPI reconciliation, UAT, and formal acceptance

Fixes the risk that dashboards built by an outside team may not survive contact with the client’s own definitions and ground truth.

  • Client owned UAT ran across the closing weeks of the engagement, with the client’s finance and technology leads pressure testing every KPI against their own ground truth
  • Where dashboard totals did not match the client’s manual count, Clixlogix documented the underlying logic of each KPI and adjusted until the two reconciled
  • KPI definitions were formalised across operations, finance, and clinical intake so a metric carries the same meaning regardless of which team reads it
  • Formal client acceptance closed the reporting phase and marked the engagement complete
  • UAT support continued through go-live of each milestone, and adoption transition ran through the closure of the engagement

Setbacks and Recovery

Three setbacks are common in builds of this shape, and all three appeared in this engagement. Each has a well established recovery pattern, described below at the category level. Any operator considering a similar buildout should expect at least one of them to surface, and should have a plan for handling it.

SetbackWhy it happens in builds of this shapeRecovery
Sync layer creating false duplicates on every cycleSync layers between a clinical system and a general purpose CRM often re upsert every historical record on each cycle, which means stale or lost records keep resurfacing and drift the pipeline reports out of alignment with operational truth.A reclassification rule is designed and agreed with the client's technical team. Stale or lost records close on the CRM side rather than re upserting. The sync layer stops re creating them. The pipeline reports then reflect reality without a manual reconciliation pass.
Duplicate leads from call automationIncoming call automations often create a new Lead every time they fire, so a single caller who dials twice shows up in the CRM as two separate prospects. This inflates the pipeline and breaks the caller identity across dashboards.Duplicate prevention is added to the call automation on the caller identity. Repeat calls match against the existing Lead record rather than creating a new one.
KPI definitions not agreed across teamsDashboards built against reasonable defaults do not always match the client's own operational definitions. Lead volume can include records the client considers invalid. Event dating can rely on proxy fields, and historical events can be derived from current record state instead of preserved as facts.Every KPI is walked in a structured UAT with the client's finance and technology leads. Definitions are formalised, filter logic is adjusted, event dating is anchored to the actual events, and historical facts are preserved so cohort analysis holds through subsequent activity. The reporting layer then reconciles against the client's own definitions.

Underlying Mechanism

A healthcare practice integration that closes on formal client acceptance does so because the delivery team treats KPI reconciliation as a first class part of the engagement. The dashboards and the definitions are built together. The client's own team pressure tests both against their own ground truth. Every gap is documented at the level of the underlying reporting logic and adjusted until the two reconcile. This is what separates dashboards that get used from dashboards that quietly get replaced by a spreadsheet six months after launch.

Results

The engagement moved The Insight Clinic from a manual, fragmented operation to a single automated spine running lead intake, appointment sync, marketing attribution, billing visibility, and reporting inside Zoho CRM, with the reporting layer running across CRM Reports and Zoho Analytics, with Jane preserved as the clinical system of record and QuickBooks preserved as the source of truth for accounting. Each outcome below is stated against the pre engagement operational baseline established during Discovery.

Attribution Traceable from Ad to First Session

Attribution Traceable from Ad to First Session

Every paid lead now traces from campaign through the CRM record and onward through the engagement lifecycle. Marketing spend is now evaluated on outcome, and the executive team can compare paid channels against organic and referral on the same underlying attribution model.
Reconciled Reporting Layer

Reconciled Reporting Layer

The reporting layer surfaces marketing attribution and executive pipeline KPIs against a single underlying data model. Every KPI now reads the same regardless of which surface the executive is looking at. Executive conversations no longer stall on which report is authoritative.
Historical Fidelity in the Reporting Model

Historical Fidelity in the Reporting Model

Milestone events are preserved as historical facts rather than derived from a record's current state, so a first completed session stays counted as one even after the client progresses into further appointments. Cohort based analysis sits on a real historical spine.
Single Operational Spine, PHI Boundary Intact

Single Operational Spine, PHI Boundary Intact

The Insight Clinic now runs on a single operational stack for lead intake, pipeline, marketing attribution, billing visibility, and executive reporting. Jane remains the clinical system of record, and the security boundary designed in Discovery holds in every automation. The audit posture is intact.
Marcell Almanzar, The Insight Clinic
★★★★★
Marcell Almanzar
Head of Sales, Business IntelligenceThe Insight Clinic
Website Review
We've had a very good experience working with your team. One thing I've particularly appreciated is how responsive everyone has been throughout the project. Even with the significant time difference between our teams, whenever we had a question or something that needed attention, we normally heard back very quickly, often by the following day. And whenever we felt a call would be easier than going back and forth over email, the team was always willing to find the time to meet with us.

What the Customer Is Doing Differently Now

Six operational changes are now visible in the day to day at The Insight Clinic.

  • Lead intake is standardised across every channel. Website form, phone call, missed call, and paid ad all land in the CRM through the same intake foundation, with Service Category and Lead Source captured consistently.
  • Missed calls no longer generate duplicate Lead records. A repeat caller matches against the existing Lead rather than creating a new prospect on every dial.
  • The Jane to Zoho appointment sync is authoritative. Stale Deals close on the CRM side rather than resurfacing on every sync cycle. Pipeline reports reflect what is actually happening in Jane without a manual reconciliation.
  • Marketing attribution stays intact through the full lifecycle. A Lead attributed to Paid Advertising keeps that source through any subsequent form submission, and the Meta campaign, ad set, and creative are traceable through Lead to Contact conversion into First Session Completed.
  • Executive reporting is scheduled and reconciled. KPIs land on a weekly and monthly cadence, and the same metric reads the same number wherever the executive checks it.
  • The security boundary between Jane and Zoho is respected in every automation. PHI stays inside Jane. Zoho and WorkDrive hold non PHI operational data only. The audit posture designed in Discovery holds in production.

Is This Right For You

Five criteria identify the operator profile this buildout fits.

  • Multi service healthcare practice with a clinical operations system (Jane, Cliniko, Osmind, or similar) and a growing pipeline that cannot be run out of the clinical system alone.
  • Currently on Zoho One or Zoho CRM for operations, or actively considering the platform for pipeline and marketing.
  • Multiple lead channels including paid media, with attribution requirements that the current dashboards cannot answer.
  • Small operations, finance, and clinical intake teams handling growing case load volume, where automation carries a large multiplier.
  • Executive team that expects reconciled KPIs across marketing and pipeline reporting, and needs those numbers to be defensible under audit.

If three or more of the above hold, a discovery conversation is worth having. If fewer hold, the fit is weaker and a different approach may serve the operator better.

Technologies and Tools

LayerTechnology
CRM and WorkflowZoho CRM with a stage Blueprint, workflow rules, and custom fields for billing status
Clinical System of RecordJane, holding the appointment book, the client chart, and all PHI inside the security boundary
Cross App SyncZoho Catalyst serverless functions carrying non PHI appointment activity from the clinical system into CRM Deal records
Communication and IntakeZoho Mail with SalesInbox for email inquiry to Lead automation, Zoho Forms for website intake with UTM capture, Zoho SalesIQ for web chat, RingCentral for incoming call automation with duplicate prevention
Marketing and DemandMeta Lead Ads with LeadChain, with attribution retained across the lead lifecycle
Analytics and ReportingZoho CRM Reports and Zoho Analytics, together forming the reporting layer, with a weekly and monthly scheduled KPI cadence against reconciled definitions
Document LayerZoho WorkDrive with a formalised folder structure, naming convention, and role permission model
Accounting (Client Owned)QuickBooks, outside the automation scope as the client's source of truth for accounting, invoicing, and payments; billing status surfaced into the CRM through custom fields and a QuickBooks to Zoho CRM sync

The stack behind the build, with the PHI boundary holding clinical records inside Jane

Services Delivered
Zoho Consulting, CRM Consulting & Implementation, Enterprise Software, Consulting Service
Team Composition
Zoho Solution Architect, Delivery Manager, Business Analyst, Zoho CRM Developer, Zoho Analytics Developer, Catalyst Developer, QA Engineer

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