Zoho CRM connector

Use your Zoho CRM data for reporting, automation and AI.

Data Panda brings your Zoho CRM data together with the data from the rest of your business. From one place, we turn it into dashboards, automations, AI workflows and custom apps your team uses every day.

Data Panda Reporting Automation AI Apps
Zoho CRM logo
About Zoho CRM

The CRM that comes with the rest of the Zoho suite.

Zoho CRM was released in 2005 by Zoho Corporation, a bootstrapped company founded in 1996 that has grown into a multinational with around seventeen thousand employees and more than one hundred million users across its product family. Zoho CRM covers the standard CRM object model of leads, contacts, accounts, deals and tasks, backed by automation, Zia AI assistance and deep customisation. Its sweet spot is small and mid-sized businesses, often running the wider Zoho suite alongside the CRM for invoicing, support, marketing and HR.

The point of pulling Zoho CRM into a warehouse is that the picture sales sees in Zoho is not the picture finance, marketing or leadership should be reading. Closed-won pipeline, paid invoices, marketing attribution and agent commission each pull a different number from the same deal if they only look inside the CRM. In a warehouse, the deal, the paid invoice, the lead source and the support conversation land in the same row, and the weekly commercial review is held against one version of the truth instead of four.

What your Zoho CRM data is for

What you get once Zoho CRM is connected.

Pipeline with outcomes

Zoho deals joined to the paid invoice, the lead source and the support trail.

  • Closed-won revenue reconciled against the actual invoiced and paid amount
  • Deals won and lost by lead source and campaign
  • Sales-cycle time by segment, including the gaps between stages

CRM-to-stack automation

Let a Zoho deal or lead trigger the rest of the stack.

  • Closed-won deal books the draft invoice in accounting
  • New lead on a high-intent page creates a Zoho record with full source context
  • Stalled high-value deal raises a manager alert before it slips the quarter

AI workflows

Score, classify and forecast on the deal, contact and activity stream.

  • Win-rate prediction per segment and stage, next to rep
  • Lead scoring combining CRM activity, web behaviour and campaign source
  • Churn-risk flag on accounts with declining touchpoint frequency

Custom apps on your data

Internal tools on Zoho CRM data leadership keeps asking the sales ops team to produce.

  • Commission dashboard tied to paid amount, not booked amount
  • Management review of pipeline health, stage ageing and conversion
  • Account view with deal, invoice, ticket and last-contact in one record
Use cases

Use cases we deliver with Zoho CRM data.

A list of concrete reports, automations and AI features we have built on Zoho CRM data. Pick the one that matches your situation.

Closed-won vs paidDeals marked won against the amount invoiced and paid.
Lead source attributionRevenue per source, campaign and first-touch channel.
Pipeline agingDeals stuck in each stage, by rep and by segment.
Rep performanceClose rate, cycle time and average value, side by side.
Lost-reason analysisWhy deals lost, clustered and weighted by value.
Account expansionUpsell and cross-sell signal on existing accounts.
Forecast accuracyWhat the rep forecast versus what closed in the end.
Activity-to-outcomeWhich call, email and task patterns correlate with wins.
Data-quality auditDuplicate contacts, missing fields, stale accounts.
Multi-org consolidationSeveral Zoho CRM instances in one pipeline view.
Real business questions

Answers you will finally get.

Is the revenue we close in Zoho the revenue that lands on the bank?

Closed-won deals from Zoho joined to the paid invoice in accounting show the gap between booked and collected. The deals that closed on paper but never fully paid appear on the commission review before a cheque goes out, instead of surfacing in a finance question three months later.

Which lead sources are worth spending more on?

Leads joined to the deals they became and to the cash those deals produced. Marketing sees the sources that generated form fills but not revenue, and the sources whose few leads quietly produce the best customers, so budget moves on outcome instead of volume.

Which accounts show expansion signal this quarter?

Existing customer accounts ranked on support activity, product usage and open opportunity value from Zoho. Account owners see which customers are ready for the upsell conversation and which have gone quiet for months, without combing through the CRM manually.

Value for everyone in the organisation

Where each function gets value.

For finance leaders

Closed-won pipeline reconciled against the invoice and the payment, not against the deal record. Finance reviews commission, revenue and collections against one joined dataset instead of the CRM, accounting and bank file side by side.

For sales leaders

Reps see their own pipeline in Zoho; leadership sees all pipelines joined to outcome. Forecast accuracy, rep-level win-rate and stalled-deal flags stop being a weekly spreadsheet exercise and move to a live dashboard.

For operations

Duplicate contacts, missing fields and stale accounts in Zoho surfaced against the downstream systems that consume them. Data-quality work is prioritised by revenue impact, not by fields that just happen to be empty.

Ideas

What you can automate with Zoho CRM.

Pair with Exact Online

Book Zoho deals as invoices in Exact Online

Closed-won deals from Zoho CRM post to Exact Online as draft invoices with customer, VAT and ledger coding resolved. Sales keeps owning the deal in Zoho and finance gets clean sales-journal entries without a re-keying step.

Pair with Stripe

Match Stripe payments back to Zoho deals

Every Stripe charge is reconciled against the Zoho deal or account it relates to on customer email, metadata and invoice reference. Commission and revenue-recognition reports read paid amount, not booked amount, from the same warehouse view.

Pair with Shopify

Bring Shopify buyers into Zoho CRM

Shopify customers and orders flow into Zoho CRM as contacts and account-level revenue signal. B2B sellers on Shopify see the self-serve buyer alongside the enterprise deal in the same pipeline, with the order history for context.

Pair with Gong

Layer Gong call signals onto Zoho deals

Gong call summaries, risk flags and sentiment land on the Zoho deal record and the parent account. The sales review is held against call evidence, not against rep self-assessment, and deals drifting without a scheduled next step surface before the quarter slips.

Data model

Tables we make available.

These are the 6 tables we currently pull from Zoho CRM into your warehouse. Query them directly in SQL, join them to the rest of your stack, or build reports on top.

  • Accounts
  • Contacts
  • Deals
  • Leads
  • Tasks
  • Users

Missing a table you need? We can extend the sync. Tell us what is missing and we will build it for you.

Your existing tools

Your data lands in a warehouse. Your BI tools read from it.

You keep the reporting tool you already have. We connect it to the warehouse where your Zoho CRM data lives.

Power BI logo
Power BI Microsoft
Microsoft Fabric logo
Fabric Microsoft
Snowflake logo
Snowflake Data warehouse
Google BigQuery logo
BigQuery Google
Tableau logo
Tableau Visualisation
Microsoft Excel logo
Excel Sheets & pivots
Three steps

From Zoho CRM to answers in three steps.

01

Connect securely

OAuth authentication. Read-only by default. We sign a DPA and your admin keeps the keys.

02

Land in your warehouse

Data flows into your warehouse on your schedule. Near real time or nightly, your call. You own the data.

03

Reporting, automation, AI

We build the first dashboard, workflow or AI feature with you, then hand over the keys. Or we stay on for ongoing delivery.

Two ways to work with us

Pick the track that fits how you work.

Track 01

Self-serve

We set up the foundation. Your team builds on top.

  • Zoho CRM connector configured and running
  • Warehouse set up in your cloud account
  • Clean access for your Power BI, Fabric or Tableau team
  • Documentation on what's in the data model
  • Sync monitoring so you're warned before reports break

Best fit Teams that already have a BI analyst or data engineer and want to own the build.

Track 02

Done for you

We build the whole thing, end to end.

  • Everything in Self-serve
  • Dashboards built to the questions your team actually asks
  • Automations between your systems
  • AI workflows scoped to real tasks your team runs
  • Custom apps where a dashboard does not cut it
  • Ongoing delivery at a pace that fits your team

Best fit Teams without in-house BI or dev capacity. You tell us what you need and we deliver it.

Before you book

Frequently asked questions.

Who owns the data?

You do. It lands in your warehouse, on your cloud account. We don't resell or aggregate it. If you stop working with us, the warehouse stays yours and keeps running.

How fresh is the data?

Near real time for most operational systems. For heavier sources we schedule hourly or nightly. You pick based on what the reports need.

Do I need a warehouse already?

No. If you don't have one, we help you pick one and set it up as part of the first delivery. Common starting points are Snowflake, Microsoft Fabric, or a small Postgres start.

Which Zoho CRM modules do you pull?

Leads, contacts, accounts, deals, tasks and users in the default sync, with the full data model listed in the data-model section on this page. Any additional module or custom object on your Zoho instance can be added on request.

Do you handle our custom fields on deals and accounts?

Yes. The standard CRM fields are pulled, the custom fields are read from the same API and land as their own columns on the warehouse tables. Renames and additions in Zoho are picked up on the next sync so reports do not lose history the day a rep renames a field.

GDPR-compliant
Data stays in the EU
You own the warehouse

A first deliverable live in four to six weeks.

We review your Zoho CRM setup and the systems around it. Together we pick the first thing worth building.