AmpIQ
Amp360
AmpID
DataGrid
Amperity A-Z
About AmpIQ
Start here
What is AmpIQ?
Tools for Marketers
1. Build segments
2. Configure campaigns
3. Choose destinations
Define audiences
Audience examples
Active store shoppers
Dormant customers
Early repeat buyers
Flyers for at-risk cohorts
High-value channels
New high-value customers
Holiday shoppers and SMS
Lapsing customers
New website customers
One and done
Purchased yesterday
Reach first-time buyers w/SMS
Reduce paid media ad spend
Store invites
Top 20% revenue
Weekly flyers
Win back lapsing customers
Win back lost customers
Purchase behaviors
First order
Has not purchased
Has purchased
Most frequent order
Repeat order
Total value of orders
Segment attributes
Average number of items
Average order values
Average prices
Audience sizes
Birthdates
Brand intervals
Brand purchases
Cancelled quantities
Cancelled revenue
Channel intervals
Channel purchases
Costs
Currency
Customer rankings
Days since latest order
Digital channels
Discount amounts
Discount percents
Early repeat purchaser?
Email addresses
First-to-latest orders
First-to-second orders
Gender
Is cancelled?
Is returned?
Largest order values
List prices
Multi-brand purchases?
Multi-channel purchases?
Names
One and done?
Order dates and times
Order IDs
Order frequencies
Payment methods
Phone numbers
Physical addresses
Predicted AOR
Predicted CLV
Predicted orders
Predicted status
Predicted transactions
Predicted value tiers
Preferred brands
Preferred channels
Preferred stores
Product catalogs
Profit amounts
Quantities
Repeat within 365 days?
Returned quantities
Returned revenue
Revenue
Revenue intervals
RFM scores
Shipping amounts
Store IDs
Store visit intervals
Subtotals
Sum of item discounts
Tax amounts
Total discount amounts
Total items
Total item intervals
Standard output
About standard output
Campaign recipients
Customer 360
Customer attributes
Merged customers
Predicted affinity
Predicted CLV attributes
Transaction attributes
Unified itemized transactions
Unified transactions
Common scenarios
Churn prevention
Customer lifetime value
Direct mail
One-time buyers
People-based measurement
Recommended audiences
RFM scores
Build segments
About segments
How segments work
Segment names
Attributes
Purchase behaviors
Segment insights
Databases and tables
AND vs. OR
SQL editor
Segment overview
Configure campaigns
About campaigns
How campaigns work
Campaign types
One-time
Recurring
Multi-channel
Campaign features
Attributes
Audiences
Control groups
Destinations
Exclusion lists
Treatment groups
Sub-audiences
Timing and launch dates
Default attributes
Email notifications
Paid media
About paid media
What is 1st party data?
Activation scenarios
Audience expansion
Lifecycle marketing
Product marketing
Optimize bidding
Optimize budgets with CLV
Suppression lists
Prospect conversion
Match rates
Activate audiences with ...
Amazon Ads
Bing Ads
Criteo
DV360
Facebook
Facebook Messenger
Gmail
Google Ads
Google Search
Google Shopping
Instagram
LiveRamp
Meta Ads Manager
Microsoft Advertising
Neustar
Oracle DMP
Pinterest
Reddit Ads
Snapchat
The Trade Desk
TikTok Ads
WhatsApp
YouTube
Measure campaigns
Performance indicators
Example
Choose destinations
ActiveCampaign
Adobe Marketo
Amazon S3
Attentive Mobile
Azure Blob Storage
Braze
Cheetah Digital
Cordial
Criteo
DV360
Google Ads
Google Cloud Storage
HubSpot
Klaviyo
Listrak
LiveRamp
Meta Ads Manager
Microsoft Ads
Neustar
Oracle DMP
Oracle Eloqua
Pinterest
Reddit Ads
Sailthru
Salesforce Marketing Cloud
SFTP
Snapchat
The Trade Desk
TikTok Ads Manager
Predictive analytics
About predictive models
Churn propensity
Customer lifetime value
Product affinity
Get Support
System Status
Amperity.com
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