Skip to content

Commit 124a956

Browse files
committed
Fix typo
1 parent e4ca524 commit 124a956

File tree

1 file changed

+2
-2
lines changed

1 file changed

+2
-2
lines changed

src/engage/audiences/predictive-traits/using-predictive-traits.md

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -45,7 +45,7 @@ Predictions offer more value in some situations than others. This sections cover
4545
- **Improve ad targeting**; build targeted audience segments based on predictive behavior.
4646
- **Optimize campaign performance**; reduce customer acquisition costs (CAC), and improve customer lifetime value (LTV) by building campaigns that target customers most likely to purchase or perform another desired action.
4747
- **Power more personalization**; With Predictive Traits, you can deliver the right message at the right time. You can create targeted customer Journeys with personalized offers and recommendations that boost conversion and promote upsell and cross sell.
48-
- **Win back unengaged customers**; Predictive Traits let you identify unengaged customers you can reengage and create personalized winback campaigns to reengage them.
48+
- **Win back unengaged customers**; Predictive Traits let you identify unengaged customers you can re-engage with personalized winback campaigns.
4949

5050
### Data science use cases
5151

@@ -106,4 +106,4 @@ Every seven days.
106106
{% faqitem How many Predictive Traits can I have? %}
107107
You can have 10 active Predictive Traits.
108108
{% endfaqitem %}
109-
{% endfaq %}
109+
{% endfaq %}

0 commit comments

Comments
 (0)