Jboard connector

Use your Jboard data for reporting, automation and AI.

Data Panda pulls your Jboard listings, employers, applications and candidate activity into the same warehouse as your finance, marketing and operations data. From one place we turn it into dashboards, automations, AI workflows and apps that the publisher, the sales desk and the finance team read from on the same numbers.

About Jboard

A no-code job board and the ATS that runs on top of it.

Jboard is a no-code job board platform that lets a publisher launch a branded board on a custom domain in minutes, charge employers through Stripe, and aggregate listings from external feeds and ATS platforms. The product targets the long tail of niche and country-specific boards: industry associations running a careers section, solo operators in mining, nursing or logistics, and recruiting agencies that want a public-facing shop window next to their internal pipeline. The site claims hundreds of live boards across dozens of countries, and the import side covers a wide catalogue of upstream job feeds and ATS connections.

The data model fits a publisher business, not a single hiring company. Listings, employers, packages, orders, applications, candidate profiles, sources and feed-imported jobs sit at the centre, with monetisation events on Stripe, search and click data on the front-end, and the optional built-in ATS layer wrapped around the candidate side. Publishers live in the listings and revenue view, employers live in their dashboard, the optional in-product ATS lets employers screen applications, leave notes and message candidates without leaving the board.

The point of pulling Jboard into a warehouse is not that the admin reporting is short. It is that Jboard knows which listings sold, which employers came back and which categories drew traffic, but it does not know what each listing cost to acquire, how the SEO and ad spend that drove the visit reads in Google Analytics or HubSpot, or which employers churn after one renewal cycle. Those answers only show up when the listings, orders and application tables sit next to your accounting ledger, your acquisition spend and the customer record that finance and sales already share.

What your Jboard data is for

What you get once Jboard is connected.

Job-board reporting

Listing revenue, employer retention and source-of-applicant quality on one set of numbers, joined to acquisition spend and renewal behaviour.

Listing revenue per package, category, region and employer cohort, with a true contribution after Stripe fees and acquisition spend
Employer retention curve from first listing through renewal three, with the package and category that retain best
Application quality per source: applications, completed profiles and employer reply rate per traffic channel and feed-imported origin

Process automation

Turn a paid listing, a renewal moment or a stalled employer into the right downstream action across sales, finance and content.

Paid listing in Jboard creates the customer in HubSpot or your CRM and seeds the renewal-reminder workflow
Stalled employers (no listing in 60 days, no support contact) ping the responsible account owner before the renewal date passes
Stripe payouts reconciled per listing and package against the order ledger, so payment-processor rounding stops costing finance an afternoon

AI workflows

Put listing content, employer history and applicant flow behind AI that sees the full board picture.

Listing-quality scoring on freshly posted jobs against the categories and templates that draw the most qualified applications
Renewal-risk scoring on employers using listing frequency, application volume served and support-contact patterns
Natural-language Q&A across listings, orders and applications for the publisher and the employer success team

Custom apps on your data

Lightweight tools for the publisher, the sales desk and the finance team that sit on Jboard data instead of more SaaS subscriptions.

Publisher revenue board: bookings, MRR by package, churn and category mix in one view
Account-owner workspace: employer health, listings since last contact, renewal date and applications delivered
Cost-per-acquired-employer tracker that mixes Jboard orders with ad spend, SEO content cost and time-to-first-renewal

Use cases

Use cases we deliver with Jboard data.

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

Listing revenue per packageBookings and recognised revenue per package, category and region, after Stripe fees and refunds.

Employer retention curveFirst listing through renewal three per cohort, with the package and category that retain best.

Source-of-applicant qualityApplications, completed profiles and employer reply rate per traffic source and feed-imported origin, not just visit volume.

Listing performance per categoryViews, applications and time-to-first-application per category and seniority, with the categories that under-perform on conversion.

Cost per acquired employerTotal acquisition cost per first-time paying employer: ad spend, SEO content cost and account-owner time, against twelve-month revenue retained.

Feed-import contributionListings imported per feed source, the share that converted to applications, and the share that triggered an upgraded paid listing.

Stripe reconciliationOrders, payouts, fees and refunds matched across Jboard and Stripe, with the variances finance has to chase down each month.

Employer health scoreListings frequency, applications delivered, support contacts and renewal date in one composite score per employer.

ATS engagement on the boardWhere the in-product ATS is used: applications screened, notes left and messages sent per employer, against retention behaviour.

Featured-listing upliftConversion lift of featured and sponsored listings against standard listings, per category and region.

Search and filter usageTop searches, zero-result searches and filter combinations on the front-end, surfacing the categories the audience asks for but the inventory does not cover.

Multi-board portfolio viewFor publishers running several Jboard sites: revenue, retention and applicant quality compared across boards on one set of numbers.

Real business questions

Answers you will finally get.

Which traffic sources deliver employers that renew, not just employers that buy once?

Acquisition-channel attribution joined to the Jboard order and renewal history, with cost per channel attributed against twelve-month retained revenue. Marketing stops being defended on first-listing volume and starts being defended on the channels that produced employers who came back and paid again.

Which categories on the board are over-served and which are under-served?

Listings inventory and front-end search and filter usage compared per category, with categories where the audience asks but the inventory is thin and categories where listings stack up but applications stall. Editorial and sales decisions get an inventory-versus-demand view instead of a top-line traffic chart.

What does it cost us to acquire a paying employer, against what they pay back over a year?

Jboard orders joined to ad spend, SEO content cost and account-owner time per first-time paying employer, against twelve-month renewed revenue per cohort. The publisher sees the channels and packages where acquisition pays back fast and the ones where the LTV does not justify the spend.

Value for everyone in the organisation

Where each function gets value.

For finance leaders

Jboard orders reconciled against Stripe payouts, refunds and fees in one view, with recognised revenue split per package and category. Month-end stops being a manual export-merge and becomes a number finance reads on the same dashboard as the rest of the business.

For sales leaders

Account owners see employer health, listings since last contact, renewal date and applications delivered on one board, instead of jumping between Stripe and the Jboard admin. Renewals get worked before the date, not after the cancellation email arrives.

For operations

The publisher reads listings inventory, applicant flow and renewal pipeline against acquisition spend on one set of numbers. Decisions on category investment, account-owner workload and feed-import priority get made on the same dashboard, not on three exports stitched together by hand.

Ideas

What you can automate with Jboard.

Pair with Stripe

Reconcile Jboard listing orders against Stripe payouts in one view

Each paid Jboard listing pairs back to the matching Stripe charge, payout, fee and refund in the warehouse, so finance reads recognised revenue per package and category against actual cash received. Month-end stops being a manual merge between two CSV exports, mismatched currencies and processor rounding stop bleeding into the publisher's books, and the variances that need a human are flagged on the same dashboard the rest of the business reads.

Pair with HubSpot

Push Jboard employers and renewals into HubSpot for a real account workflow

When an employer makes a first paid listing in Jboard, the customer record, package, listing count and next renewal date land in HubSpot ready for the account owner to work, instead of sitting only in the Jboard admin. Renewal reminders, upsell sequences for higher packages and re-engagement when an employer goes 60 days without a listing all run from the same record, and the publisher gets a real CRM history per employer instead of a list of one-off Stripe charges.

Pair with Slack

Push the Jboard events that matter into the right Slack channel

New paid listings, employer renewals, refund requests and stalled accounts land in the right Slack channel: a wins channel for new orders and renewals, an account-owner channel for refunds and high-value employers going quiet, and a publisher ping when daily bookings drop against the rolling baseline. The team stops refreshing the Jboard admin and the Stripe dashboard, and the conversations about each event happen against the actual record instead of a screenshot.

Pair with Google Analytics GA4

Join Jboard listings and applications to GA4 traffic for a real source-of-applicant view

GA4 sessions, source and medium are joined to the Jboard listings and applications they produced in the warehouse, so the publisher sees which channels deliver applications that employers reply to, not just visits. SEO content, paid search and partner traffic stop being judged on bounce rate and start being judged on completed applications and employer reply rate per channel, and the inventory categories that under-perform on conversion become visible against the categories that are simply under-trafficked.

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 Jboard data lives.

Power BI Microsoft

Fabric Microsoft

Snowflake Data warehouse

BigQuery Google

Tableau Visualisation

Excel Sheets & pivots

Three steps

From Jboard to answers in three steps.

Connect securely

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

Land in your warehouse

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

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.

Jboard 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.

GDPR-compliant

Data stays in the EU

You own the warehouse

A first deliverable live in four to six weeks.

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

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