Marketing ops · Production

Unanet cuts campaign management time 50% with Demandbase JourneyIQ

The problem

Unanet's marketing team managed up to twelve separate campaigns for a single motion by combining four personas with three journey stages, requiring manual budget planning via rebuilt spreadsheets each quarter and making campaign optimization slow and time-consuming.

Workflow diagram · grounded in source
1
Multi-campaign persona/stage setup
trigger
“For one campaign with four personas and three journey stages, that's literally 12 different campaigns”
2
Automated budget allocation
ai_action
“JourneyIQ automatically allocates budget and optimizes spend across journey stages and audiences within a single campaign framework”
3
Journey stage and scoring refinement
validation
“The beta also gave the team a chance to refine journey stages and engagement scoring, improving data accuracy and ensuring ads reached the right audiences at the right time”
4
Consolidated campaign output
output
“It's actually four now. It helps cut down on the number of campaigns we're doing, and it also helps visually understand how we're using the money within those campaigns”
5
Ongoing model refinement
feedback_loop
“Koch plans to continue refining Unanet's journey stages and engagement models as JourneyIQ becomes a standard part of campaign planning”
Reported outcome

JourneyIQ collapsed twelve campaigns into four, automated budget allocation across funnel stages, and cut campaign management time by 50%, with early signs of higher engagement rates.

Reported metrics
Campaign management time50% less time
Number of campaigns per motion (before)12 different campaigns
Number of campaigns per motion (after)four
Engagement ratesa little bit higher than what I've seen before
Show all 5 reported metrics
campaign management time50% less time
number of campaigns per motion (before)12 different campaigns
number of campaigns per motion (after)four
engagement ratesa little bit higher than what I've seen before
overall time savingsbig time saver
Reported stack
JourneyIQDemandbase
Source
https://www.demandbase.com/resources/case-study/unanet-ad-campaign-automation/
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

JourneyIQ collapsed twelve campaigns into four, automated budget allocation across funnel stages, and cut campaign management time by 50%, with early signs of higher engagement rates.

What tools did this team use?

JourneyIQ, Demandbase.

What results were reported?

Campaign management time: 50% less time; Number of campaigns per motion (before): 12 different campaigns; Number of campaigns per motion (after): four; Engagement rates: a little bit higher than what I've seen before (source-reported, not independently verified).

How is this marketing ops AI workflow structured?

Multi-campaign persona/stage setup → Automated budget allocation → Journey stage and scoring refinement → Consolidated campaign output → Ongoing model refinement.

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