Magidoc

CampaignTableBuild
Object

Progress of the background audience build started by createCampaignFromGoal or findCampaignPeople.

Fields

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audienceAuthoring

Interactive controls operate the existing audience pipeline before recipient approval

audienceCommitting

audienceThreadId

approvedPersonIds

[ID !]

Exact identities selected in the latest audience approval; previous drafts remain saved.

configurationRevision

rerunFromStep

Earliest stage whose downstream results are no longer current

stage

Non-null

mode

Non-null

runId

ID !
Non-null

threadId

Hidden Buzz thread running the build; null when the server pipeline ran it

prompt

Non-null

The goal the build started from

startedAt

Non-null

heartbeatAt

Last liveness beat from the background run; readers treat it as failed after three minutes

completedAt

error

pickedCount

People this run added; each has a table row

startedBy

User whose request started the run; only they can answer Buzz's questions

criteriaFieldKey

The criteria column this run fills

criteriaLabel

Column name for new criteria

autoEnrich

Fill every other AI column for the rows this run adds

candidateCount

Eligible accounts the criteria ranked

targetPeopleCount

How many people this run may add

source

Data source the run draws people from (crm, pdl, web or manual)

completedStepCount

Build pipeline steps finished so far, in order

goalQuestions

Set while the build waits for its starter to confirm which accounts the goal means

awaitingContinue

Set while the build waits for its starter to look over the last finished step

autoContinue

The build runs every step without stopping and takes the Goal step's best guesses

stepSummaries

What each step after Goal found, in pipeline order (Sources, Filter, Rank, AI Filter, AI Rank)

sources

The data sources the Sources step picked for the goal being built

pdlSearchFilters

Reviewed People Data Labs filters for a PDL population build

filters

The rules the Filter step checks over the pool, and what each removed

rank

The signals the Rank step scores with, and how many go on to research

aiFilter

The checks the AI Filter step read each researched person's evidence for

aiRank

The questions the AI Rank step scored the kept people on

recoveries

Failures Buzz recovered from by changing the build, oldest first

Usages

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References

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