Meta Ads · Value Rules

Your Value Rules Cheat Sheet.
By Industry.

Adjust bids based on who's actually worth more to your business, not gut feel.

Who to prioritise

Ages 30–50, desktop users, decision-maker job titles, tech hub cities, interests related to the products

Check Desktop vs Mobile Trial Requests & Use Lookalike to the MQLs

Budget rule

Tech Hubs Locations

+30–50%

Mobile-only, Rural, non-related Age/Gender

−30%

Who to prioritise

Women 22–38, higher bidding on mobile users, lookalikes for high-AOV purchasers & engaged audiences

Use AOV not conversion count for the lookalikes

Budget rule

High-AOV buyer segment & Lookalikes

+50%

Non-Related Gender Or Age

−90%

Who to prioritise

Age 28–45, mobile users, repeat purchasers lookalikes, pet owner & pet brand interests

Use repeat buyers = 3–4× LTV for the custom audience

Budget rule

High AOV Customers Lookalikes & TOF Interests

+40–60%

Non-Related Age & Gender

−90%

Who to prioritise

Ages 35–55, qualified lead audiences (CRM-matched), high-value cities, Interests based on your business

Bid 90% LESS on the lookalike list to disqualified leads

Budget rule

Qualified Leads/Customers Lookalike

+50%

Disqualified Geo & Non-related Gender or Age

−90%

Who to prioritise

Ages 25–45, EMEA metro users, development, major educator interests, career-changers

Segment by intent: webinar attendees vs cold audiences

Budget rule

Customers & Qualified Leads Lookalikes

+50%

Disqualified Leads Audience

−90%

Who to prioritise

Women 18–45, beauty, skincare, brand names, online purchasers & lookalike of recent purchasers

Bid 90% less on men & ages 50+

Budget rule

Qualified Leads/Customers Lookalike

+50%

Disqualified Geo & Non-related Gender or Age

−90%

Who to prioritise

Women 25–50, wellness & mindfulness interests, local radius targeting, lookalike of existing clients

Bid 90% less on men, or age less than 25 & >=50

Budget rule

Qualified Leads/Customers Lookalike

+50%

Disqualified Geo & Non-related Gender or Age

−90%

Who to prioritise

Ages 30–65, past donors (CRM list) & their lookalikes, cause-related interest, environment & fair-trade interest

Bid 90% less on audiences with no prior giving signals or irrelevant cause interests

Budget rule

CRM donors & cause lookalikes

+50%

Age less than 30

−70%

Who to prioritise

Ages 30–60, homeowners, life-event triggers (new baby, home purchase), CRM-matched qualified leads

Bid 90% less on ages under 25, renters with no life-event signal, and low-value goods

Budget rule

Qualified leads & customer lookalikes

+50%

Disqualified geo & non-matching age

−90%
Pro Tips From Ema
☑ Begin with 10–20% budget increase at a time. Run for a full learning cycle (3–5 days) unless there's a huge fix needed.
☑ Don't forget to exclude recent purchasers from all campaigns, exclude all viewers or engagements from social media from the traffic campaigns to bring in fresh & new traffic.