Reports your team actually trusts.

HubSpot's report builder covers most single-object and standard cross-object reports: deals by stage, contacts by source, activity by rep, funnel reports on Professional, and multi-touch revenue attribution on Marketing Hub Enterprise. It stops at historical snapshots beyond what HubSpot stores, cohort analysis, calculations across unrelated objects and anything that needs data from outside the portal. Datasets on Enterprise extend the limit with formula fields and joined objects. Past that, we sync HubSpot to a warehouse and build the view in BI.

Yes. A leadership dashboard in HubSpot typically shows revenue closed, open pipeline by stage, forecast against target and marketing-sourced pipeline on one screen, built from native reports and datasets. We define each number with the people who present it, so the board sees the same figure the sales team sees. Scheduled delivery sends it by email or Slack every Monday morning. If the numbers need warehouse data, the same dashboard moves to Looker or Power BI.

By fixing what feeds it. Close dates, amounts and forecast categories become required at the right stage, stage changes follow rules instead of habit, and stale deals are flagged automatically. Then we build the forecast on HubSpot's forecast tool and weighted pipeline reports, with rep and manager submissions where the team uses them. Service reporting is handled the same way: ticket pipelines, SLA rules and CSAT properties are defined before the dashboard is built. The result is a forecast leadership can compare against last quarter instead of a number that changes every Friday.

Yes, on Marketing Hub Professional and Enterprise. HubSpot offers contact create, deal create and revenue attribution reports with first-touch, last-touch, linear, U-shaped, W-shaped and time-decay models. The reports are only as good as the tracking behind them, so we set up campaigns, UTMs, tracked forms and offline source imports before reading them. For channels HubSpot can't see, such as ad spend or events, we join the data in the warehouse.

Yes. On Data Hub Enterprise the connection to Snowflake, BigQuery, Redshift and Databricks is native, with reverse ETL back into the CRM. On other tiers, or for warehouses HubSpot doesn't connect to, we run the sync through Insight Connect, our middleware. Either way the datasets, dashboards and reverse-ETL rules are built and documented by us.

See GTM Engineering

Looker and Looker Studio, Power BI, Metabase and Tableau most often. The choice usually follows what finance and your analysts already use, not the other way round. We build the dashboards on top of the synced HubSpot data with the same metric definitions used inside HubSpot, so a number in Power BI matches the one in the sales dashboard. Training covers how to extend them without breaking the model.

It can, and it works well when the data behind it is clean. Breeze builds a report from a plain-language request using your actual properties, so if stages, lifecycle definitions and required fields are consistent the result is reliable. If they aren't, it returns the same wrong number faster. We set up the data model first, then switch Breeze on and train your team to use it.

Usually not. For most B2B teams, HubSpot's native dashboards plus a warehouse and BI layer cover everything those tools do, without another subscription or a second copy of the data. We recommend them only when you need to blend many ad and analytics sources into client-facing reports.

Because a chart on bad data is wrong with more confidence. If close dates are optional, lifecycle stages are set by hand and duplicates inflate the contact count, every dashboard inherits those errors. We set required properties, stage rules, lifecycle definitions and deduplication first, then build. It adds a step at the start and removes the weekly argument about whose number is right.

Yes, and it is a common starting point. We audit the existing dashboards: which reports are used, which numbers disagree, and where the gap comes from, usually missing properties or inconsistent stages. Then we fix the data, rebuild the reports worth keeping and retire the rest. You get the findings in writing before we change anything.

It depends on the number of dashboards, the state of the data and whether a warehouse and BI layer is involved, so we quote a fixed price after a scoping call. A leadership dashboard on clean data is a small project; a warehouse sync with BI dashboards and reverse ETL is a larger one. The scoping call is free and you get a written approach with scope and price before anything is built. No open-ended hourly billing.

Your team can, and we can if you prefer. Every project ends with documentation, a metrics dictionary and training, so an admin can edit a report or add a tile without calling us. Many clients keep us on a monthly retainer through HubSpot Managed Services for changes, new reports and data quality monitoring. Either way nothing depends on a single person's memory.

See HubSpot Managed Services