HubSpot Reporting study plan

Map the standard HubSpot object model - contacts, companies, deals, tickets, products, line items - and note which object natively owns each property you plan to report on.

Configure a test deal pipeline with five stages and align each stage to a lifecycle stage so stage names and lifecycle labels do not contradict each other in reports.

Audit fifteen existing contact and company properties, recording field type, property group, and whether each is actually used in a live report or workflow.

Diagram the associations between the four objects you report on most, including association labels that determine which record a value rolls up to.

Build three rollup or calculation properties that pull associated-record or line-item values onto a parent record, and confirm the values populate on at least ten records.

Write a decision rule that states when a question needs a single-object report versus a cross-object report in the custom report builder, with two worked examples of each.

Construct a first cross-object report using contacts as the primary data source joined to deals, with two filters, one aggregation, and one breakdown.

Reconcile deal amounts against their associated line items for one pipeline and record every record where the totals do not match.

Rebuild the same core metric as four reports - table, column, line, and pie - and write down which question each visualization answers best and where it misleads.

Apply breakdowns, groupings, and a previous-period comparison to one report, then document how each setting changes the reading of the result.

Create a report that filters on the secondary object rather than the primary one, and note how the record count shifts as a result.

Configure sharing, ownership, and scheduled delivery or export for one report so it reaches a named stakeholder without manual work.

Compute deal-level return by pairing closed-won amount with campaign or ad spend data drawn into HubSpot, showing spend, attributed revenue, and the ratio between them.

Build an attribution report and compare first-touch, last-touch, and one multi-touch model across the same three campaigns in the same date range.

Reconcile a revenue or attribution report total against the underlying deals in a filtered view and explain any gap before moving on.

Document every route spend data enters HubSpot, and flag which sources update automatically versus which need a manual import.

Measure conversion rate between each consecutive lifecycle stage over a rolling 90-day window and rank the stages by drop-off severity.

Define repeat purchase or retention using deal records in the customer lifecycle stage, then quantify how many customers actually return.

Quantify the revenue attached to the three largest funnel leaks rather than just counting lost records.

Report on flywheel friction after the sale - ticket volume, resolution time, or churn reasons by segment - and tie one of those metrics back to renewal outcomes.

Assemble an eight-report dashboard for one named persona, with a headline metric in the top-left tile that answers that persona's primary question.

Apply dashboard-level date and team or owner filters, then verify each tile respects them instead of holding a stale hard-coded range.

Set sharing and permissions for the dashboard and establish a delivery routine so the audience sees it on a fixed cadence.

Remove or rebuild any tile that no decision would change, and write one sentence per surviving tile explaining the action it triggers.

Build a traffic view segmented by source, medium, campaign, and device, then isolate which segments convert rather than merely arrive.

Tag and verify five UTM parameter sets end to end, confirming each lands in the sessions report under the intended source and campaign names.

Produce a customer journey or attribution-path report showing the three most common paths to conversion and the length of each path.

Compare landing pages on conversion rate against session volume so high-traffic, low-converting pages surface clearly.

Define a reporting operating rhythm that assigns each saved report to an owner, an audience, and a review cadence of daily, weekly, monthly, or quarterly.

Audit every report and dashboard built in weeks one through seven for naming, ownership, filters, and staleness, and retire or fix anything that fails.

Sit a timed practice set, then group every missed question by domain to expose the weakest of the eight areas.

Rebuild the two weakest reports from memory without opening the original, then diff the result against the saved version.