Ready to Scale? Auditing a Demand Gen Asset Group Before Raising Budget
Objective: Given a real Demand Gen asset group export, diagnose whether the creative-variety and audience-seeding minimums from the lesson are actually met before recommending a budget increase.
You're the paid media analyst at Allbirds, the sustainable footwear brand, reviewing a Demand Gen campaign that's been live for three weeks. The brand team wants to double the daily budget next week; your job is to confirm the campaign is actually ready for more spend, not just tolerating it.
Pull the asset group export and the audience settings panel, check both against the lesson's minimum requirements, and write a go/no-go recommendation.
Before you start
What you'll need
Free path (everything below is enough to finish)
Native reporting inside the ad account, no export tooling needed
Free, shareable with the brand team
The process
2 steps
Step 01 of 02
The lesson's Creative Requirements section says the algorithm needs contrast to test effectively: at least two videos in different aspect ratios plus three to four image variants. One video and two images is not enough.
The asset group export shows 1 landscape (16:9) video, 2 square (1:1) images, and nothing else. Is this campaign ready for more budget?
Procedure
- Open the asset group and list every asset by format and aspect ratio
- Count video formats separately from image formats
- Compare the count against the lesson's minimum (2+ videos, different ratios; 3-4 images)
- Flag any missing format as a blocker before budget changes
Asset group: Allbirds — Wool Runners Prospecting
VIDEO
1x Landscape 16:9, 22s
IMAGE
2x Square 1200x1200
MISSING: Portrait 9:16 video, second landscape/square video variant, portrait 960x1200 imageHealthy
At least 2 videos in different aspect ratios and 3-4 image variants, giving the algorithm real contrast to test.
Unhealthy
1 video and 2 images total, the exact under-supplied combination the lesson calls out as insufficient.
What this means
This asset group is under-supplied. More budget on the same thin creative set just spends faster into the same ceiling, it does not fix the ceiling.
So what do I do about it?
| Symptom | Action | Effort |
|---|---|---|
| Only one video and two images in the asset group | Hold the budget increase and brief in a Shorts-format 9:16 video plus 2 more image variants before scaling spend | half day |
Step 02 of 02
The lesson recommends starting with a Customer Match list of 5,000+ matched emails before building a lookalike, and warns Optimised Targeting is only safe for accounts with 50+ conversions a month.
The audience panel shows a Customer Match seed list of 1,200 matched emails, a lookalike built from it, and Optimised Targeting switched on. The account has averaged 12 conversions/month. What's the risk?
Procedure
- Check the Customer Match seed list size against the 5,000+ recommendation
- Check whether Optimised Targeting is enabled
- Check trailing 30-day conversion volume against the 50+ conversions/month threshold for safely running Optimised Targeting
Customer Match seed: 1,200 matched emails (recommended: 5,000+) Lookalike: built from seed, size = narrow Optimised Targeting: ON Trailing 30-day conversions: 12
Healthy
A seed list of 5,000+ emails feeding the lookalike, with Optimised Targeting reserved for accounts already converting 50+ times a month.
Unhealthy
A 1,200-email seed list (too thin for a reliable lookalike) with Optimised Targeting on at only 12 conversions/month, letting Google expand reach on almost no signal.
What this means
Optimised Targeting on a sparse-data account lets Google guess at scale instead of learning from real signal. It should be disabled until conversion volume, or the seed list, is materially larger.
So what do I do about it?
| Symptom | Action | Effort |
|---|---|---|
| Optimised Targeting is enabled with fewer than 50 conversions/month | Turn off Optimised Targeting and grow the Customer Match list toward 5,000+ before re-enabling it | 5 min |
Final deliverable
A one-page audit memo recommending scale-now, fix-creative-first, or fix-audience-first, with the specific line-item fix for each flagged gap.
See a reference example
Warby Parker, Demand Gen readiness audit (excerpt) CREATIVE: PASS 3 videos (16:9, 9:16, 1:1), 4 image variants — meets minimum contrast requirement AUDIENCE: FAIL Customer Match seed: 2,100 emails (below 5,000 recommendation) Optimised Targeting: ON at 31 conversions/month (below 50 threshold) RECOMMENDATION: Hold budget increase. Turn off Optimised Targeting and grow the seed list before scaling spend.
Success criteria
You're done when you can:
- Correctly identifies whether the creative set meets the 2-video/3-4-image minimum
- Correctly identifies whether the audience seed size and Optimised Targeting setting match the account's conversion volume