Stop spending on the wrong users.
Stop spending on the wrong users.
Identify users unlikely to deliver incremental ROI – existing customers, low-intent browsers, recent purchasers – and excludes them across your entire engagement stack.
Identify users unlikely to deliver incremental ROI – existing customers, low-intent browsers, recent purchasers – and excludes them across your entire engagement stack.
Are you paying for low-value traffic?
Are you paying for low-value traffic?
Ad algorithms optimize for clicks, not incremental value. With Innkeepr's incrementality-based signals you can exclude visitors unlikely to delivery positive returns from your ads.
Ad algorithms optimize for clicks, not incremental value. With Innkeepr's incrementality-based signals you can exclude visitors unlikely to delivery positive returns from your ads.
How Innkeepr solves it
How Innkeepr solves it
Exclude existing customers
Innkeepr identifies users who already purchased and syncs them as exclusion audiences across all platforms – so acquisition budget only reaches genuine prospects.
Suppress low-intent visitors
Suppress high-organic-intent users
Exclude existing customers
Innkeepr identifies users who already purchased and syncs them as exclusion audiences across all platforms – so acquisition budget only reaches genuine prospects.
Suppress low-intent visitors
Suppress high-organic-intent users
Exclude existing customers
Innkeepr identifies users who already purchased and syncs them as exclusion audiences across all platforms – so acquisition budget only reaches genuine prospects.
Suppress low-intent visitors
Suppress high-organic-intent users
Exclude existing customers
Innkeepr identifies users who already purchased and syncs them as exclusion audiences across all platforms – so acquisition budget only reaches genuine prospects.
Suppress low-intent visitors
Suppress high-organic-intent users
Exclude existing customers
Innkeepr identifies users who already purchased and syncs them as exclusion audiences across all platforms – so acquisition budget only reaches genuine prospects.
Suppress low-intent visitors
Suppress high-organic-intent users
More Nutrition uses exclusion audiences on Meta, optimized for is_existing_customer, to stop paying for customers they already have.
-39.1%
CAC
Rosental uses exclusion audiences on Meta, optimized for high_aov, to suppress low-value traffic campaigns.
+23.8%
AOV
Tchibo uses suppression signals on Criteo, optimized for recent_purchaser_30d, to prevent retargeting recent buyers
+5.1%
iROAS
ESN uses exclusion audiences on Meta, optimized for high_organic_probability, to focus budget on users who need ads.
-26.1%
CAC
More Nutrition uses exclusion audiences on Meta, optimized for is_existing_customer, to stop paying for customers they already have.
-39.1%
CAC
Rosental uses exclusion audiences on Meta, optimized for high_aov, to suppress low-value traffic campaigns.
+23.8%
AOV
Tchibo uses suppression signals on Criteo, optimized for recent_purchaser_30d, to prevent retargeting recent buyers
+5.1%
iROAS
ESN uses exclusion audiences on Meta, optimized for high_organic_probability, to focus budget on users who need ads.
-26.1%
CAC
More Nutrition uses exclusion audiences on Meta, optimized for is_existing_customer, to stop paying for customers they already have.
-39.1%
CAC
Rosental uses exclusion audiences on Meta, optimized for high_aov, to suppress low-value traffic campaigns.
+23.8%
AOV
Tchibo uses suppression signals on Criteo, optimized for recent_purchaser_30d, to prevent retargeting recent buyers
+5.1%
iROAS
ESN uses exclusion audiences on Meta, optimized for high_organic_probability, to focus budget on users who need ads.
-26.1%
CAC
More Nutrition uses exclusion audiences on Meta, optimized for is_existing_customer, to stop paying for customers they already have.
-39.1%
CAC
Rosental uses exclusion audiences on Meta, optimized for high_aov, to suppress low-value traffic campaigns.
+23.8%
AOV
Tchibo uses suppression signals on Criteo, optimized for recent_purchaser_30d, to prevent retargeting recent buyers
+5.1%
iROAS
ESN uses exclusion audiences on Meta, optimized for high_organic_probability, to focus budget on users who need ads.
-26.1%
CAC
More Nutrition uses exclusion audiences on Meta, optimized for is_existing_customer, to stop paying for customers they already have.
-39.1%
CAC
Rosental uses exclusion audiences on Meta, optimized for high_aov, to suppress low-value traffic campaigns.
+23.8%
AOV
Tchibo uses suppression signals on Criteo, optimized for recent_purchaser_30d, to prevent retargeting recent buyers
+5.1%
iROAS
ESN uses exclusion audiences on Meta, optimized for high_organic_probability, to focus budget on users who need ads.
-26.1%
CAC
More Nutrition uses exclusion audiences on Meta, optimized for is_existing_customer, to stop paying for customers they already have.
-39.1%
CAC
Rosental uses exclusion audiences on Meta, optimized for high_aov, to suppress low-value traffic campaigns.
+23.8%
AOV
Tchibo uses suppression signals on Criteo, optimized for recent_purchaser_30d, to prevent retargeting recent buyers
+5.1%
iROAS
ESN uses exclusion audiences on Meta, optimized for high_organic_probability, to focus budget on users who need ads.
-26.1%
CAC
More Nutrition uses exclusion audiences on Meta, optimized for is_existing_customer, to stop paying for customers they already have.
-39.1%
CAC
Rosental uses exclusion audiences on Meta, optimized for high_aov, to suppress low-value traffic campaigns.
+23.8%
AOV
Tchibo uses suppression signals on Criteo, optimized for recent_purchaser_30d, to prevent retargeting recent buyers
+5.1%
iROAS
ESN uses exclusion audiences on Meta, optimized for high_organic_probability, to focus budget on users who need ads.
-26.1%
CAC
More Nutrition uses exclusion audiences on Meta, optimized for is_existing_customer, to stop paying for customers they already have.
-39.1%
CAC
Rosental uses exclusion audiences on Meta, optimized for high_aov, to suppress low-value traffic campaigns.
+23.8%
AOV
Tchibo uses suppression signals on Criteo, optimized for recent_purchaser_30d, to prevent retargeting recent buyers
+5.1%
iROAS
ESN uses exclusion audiences on Meta, optimized for high_organic_probability, to focus budget on users who need ads.
-26.1%
CAC
Frequently Asked Questions
How does Innkeepr identify existing customers?
How does Innkeepr identify existing customers?
How does Innkeepr identify existing customers?
What's the difference between exclusion and suppression?
What's the difference between exclusion and suppression?
What's the difference between exclusion and suppression?
How often do exclusion audiences update?
How often do exclusion audiences update?
How often do exclusion audiences update?
Can I configure the exclusion windows?
Can I configure the exclusion windows?
Can I configure the exclusion windows?
What if I already have manual exclusion lists?
What if I already have manual exclusion lists?
What if I already have manual exclusion lists?
© 2025 Innkeepr. All rights reserved.
© 2025 Innkeepr. All rights reserved.
© 2025 Innkeepr. All rights reserved.