How Do I Calculate True ROI Across All Channels in HubSpot Operations Hub?
Build a single cost ledger, standardize attribution, and join it all in a HubSpot dataset—so every channel and campaign has apples-to-apples ROI.
Use Operations Hub to unify revenue attribution and costs in one dataset. Capture attributed revenue with a single multi-touch model (e.g., W-shaped or time-decay) and track sourced vs. influenced. Create a cost ledger (media, tools, labor, agencies) by campaign/month, then join ledger → campaign/deal datasets. ROI% = (Attributed Revenue − Total Cost) ÷ Total Cost. Publish a scorecard with ROI, CAC, MER, and payback by channel and campaign.
ROI Readiness Checklist
True ROI Control Matrix (Ops Hub Implementation)
Component | What You Need | Ops Hub / HubSpot Feature | Rule / Formula | Primary KPI |
---|---|---|---|---|
Attributed Revenue | Multi-touch model + sourced/influenced split | Attribution reporting, Datasets | Choose one model globally (e.g., W-shape); never mix models in the same view | Attributed Revenue, New Customers |
Media Costs | Spend by campaign/channel/month | Ads tool sync + Cost Ledger (custom object/import) | Ledger keys = {CampaignID, Channel, Period}; currency normalized | Spend, MER = Revenue ÷ Spend |
People (Labor) Costs | Standard hourly rate × estimated hours per tactic | Cost Ledger + programmable workflows | Load as “Labor” cost_type; allocate by campaign or channel | CAC = Total Cost ÷ New Customers |
Tools/Agency Costs | Retainers, licenses, one-offs | Cost Ledger with allocation driver | Allocate by % usage or traffic share; document method | Contribution Margin = Revenue − Variable Costs |
Unified Dataset | Join revenue + cost tables | Datasets, Calculated fields | ROI% = (Rev − Cost) ÷ Cost; Payback = CAC ÷ Avg Monthly Gross Profit | ROI%, Payback (months) |
Governance | Naming, UTM rules, reconciliation cadence | Workflows, Data Quality, Data Sync | Monthly close: freeze period, attach notes, variance review | Close timeliness; Variance resolved |
How the Model Works End-to-End
Start by standardizing the revenue side. Lock a single multi-touch model so every channel is judged with the same yardstick, then keep sourced and influenced breakouts to maintain context. Normalize campaign naming and UTM parameters at the source with workflows, and use Datasets to expose “Attributed Revenue,” “New Customers,” and “Average Order/Contract Value” fields that roll up cleanly by channel, campaign, and period.
Next, create a Cost Ledger as a custom object or monthly import. Each row records period, channel, campaign (or “n/a”), cost_type (media, labor, tools, agency), currency, amount, and notes. Media can sync from connected ad accounts; labor and tools are allocated by agreed drivers (hours, % usage, or traffic share). Workflows validate required fields and convert currencies so totals reconcile. This ledger becomes the single source of cost truth across your stack.
Finally, join revenue and costs in a Unified ROI Dataset and publish one scorecard: ROI%, MER (Revenue ÷ Spend), CAC (Total Cost ÷ New Customers), and Payback (CAC ÷ Avg Monthly Gross Profit). Close the books monthly—freeze the period, attach explanations for variances, and compare model results to finance reports. When something’s off, fix the rule (naming, mapping, allocation) so every future report is right by default.