Add a Google lookalike segment to a Demand Gen ad group
Picks the best seed list, builds a lookalike segment sized from recent ad group data and attaches it to a Demand Gen ad group, with a preview before each step.
When to use it
When your Demand Gen campaign runs only on broad targeting and you want to test a lookalike audience built from your best customer data.
What you get
A lookalike segment created from the best seed list and attached to your ad group after two approvals, plus a 14-day comparison plan with the minimum conversions needed to call a winner.
Does it change anything in my account?
Only with your approval. The assistant first shows a preview of every change and waits for your go-ahead.
Works with
Google Ads
Fill in before sending
[campaign name][ad group name][country]
Our Demand Gen campaign [campaign name] runs only on broad targeting. I want to test a lookalike segment in ad group [ad group name].
1. Find the campaign and the ad group ids. Read the ad group's current audiences with get_campaign_targeting and ad_group_id, so we do not add something that is already there.
2. List the account's audiences with definition=true, and rank the candidate seeds by size and intent:
- Customer Match lists
- Converters (lists built on a thank-you or purchase page)
- Lead form submitters
- High-intent page visitors (pricing, contact, product pages)
Use each list's rule to decide which group it belongs to. Exclude any seed that is under 1,000 members or whose membership status is not open.
3. Recommend the best one or two seeds, and explain your pick in one sentence each.
4. Pull the ad group's last 30 days with get_report at ad group level: impressions, conversions and cost per conversion. Based on that, recommend NARROW, BALANCED or BROAD for a lookalike in [country], and explain why.
5. Preview the lookalike with create_lookalike_audience. Wait for my approval before creating it.
6. After it is created, preview attaching it to the ad group as targeting with manage_audience_targeting. Wait for my approval again. A new lookalike can take a while to fill, so check its size with list_audiences and tell me if it is still building.
After both steps are applied, tell me which metrics I should compare after 14 days against the previous 14 days, using get_report with start and end dates:
- Conversions
- Cost per conversion
- Conversion rate
Also state the minimum conversion count I need before I call a winner.
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