BID ballot management software
Do not start preparing
at renewal.
SIVO keeps levy records, eligible hereditaments, voter contacts, engagement, sentiment and dual-majority forecasting connected throughout the BID term.
Ballot readiness is an operating discipline.
A successful renewal depends on more than a final campaign. The underlying property and levy data must be reliable; the right voter contacts must be known; engagement must be visible; and the BID needs an honest view of support against both the number and rateable-value tests.
SIVO connects renewal preparation to the everyday work of the BID. When a business changes, a contact leaves, a property becomes vacant or a conversation shifts sentiment, the ballot picture can change with it.
Know the electorate
Connect hereditaments, occupiers, levy records and eligibility so the working ballot dataset stays explainable.
Find the right voter
Track voting contacts, roles, confidence and missing information alongside the wider business relationship.
See the relationship
Use visit history, communications, issues and sentiment to understand readiness and plan the next conversation.
Model both majorities
Monitor likely outcomes by number and rateable value, with clear assumptions and gaps that need action.
Connect the ballot to value delivered.
Renewal conversations are stronger when the team can connect a levy payer to engagement, projects, business support and benefits delivered. SIVO links ballot readiness to the wider BID operating platform, helping the renewal story rest on evidence rather than a separate campaign spreadsheet.
Does SIVO forecast the BID ballot majorities?
Yes. SIVO supports forecasting against both required tests: the majority by number of votes cast and the majority by aggregate rateable value, using the working assumptions and statuses recorded by your team.
Can we use it before the formal ballot period?
That is the point. SIVO helps maintain contact quality, engagement and readiness throughout the term so the formal renewal period does not begin with a data rescue exercise.