Pre-deployment revenue assurance.
Revenue teams ship outbound faster than they can govern. cadohq inspects each cadence against the research it pulled on your prospects, scores it on six dimensions, and gates deployment so weak messaging does not consume scarce selling capacity.
Sequencing tools send. AI tools generate copy. Enrichment tools build lists. Until cadohq, nothing inspected the cadence between those layers. We sit between strategy and execution: after the list is built and the copy is drafted, before SalesLoft, Outreach, Apollo, HubSpot, or Salesforce ships it.
The wedge is governance, not generation. cadohq does not write cadences. It checks whether the one you are about to send deserves to reach the buyer.
The case for inspecting cadences before they ship is in the data on what buyers reward, what separates top prospectors, and what poor sending costs. Every figure below is sourced and shown with its sample size.
These are industry benchmarks, not a claim about your account. The lift cadohq produces on a specific pipeline is measured directly in validation, not borrowed from a benchmark.
A cadence clears Auto-deploy when the composite meets your workspace threshold. Below threshold, cadences are routed to Revise with an enumerated list of changes that would clear them. Composite under 70 is held for re-work. The verdict is always one of three. No vague recommendations.
When you upload a contact list, cadohq pulls public information on each company in the cohort (recent news, leadership, business overview) and synthesizes a research brief. The scorer treats the brief as ground truth: cadences that reference real specifics score higher on pain alignment and persona fit, cadences that contradict or ignore the research score lower.
You can also add additional context the public web won't surface, notes from prior conversations, an internal champion, a specific angle. cadohq weights that as authoritative on top of the automated research. Persona-only scoring is supported when you don't have a contact list yet.
Threshold values are user-controlled per workspace. Post-send outcome ingestion and automatic weight re-fitting are on the roadmap and will roll out alongside the Small Teams plan.