Resolved identity
Improve ROAS from a cleaner customer view
Unify fragmented profiles before campaigns are planned, measured, or suppressed so media spend is aimed at cohesive customers instead of duplicate records.
// CONDOR USE CASES
Improve ROAS with identity, intelligence, and AI activation
Resolve customer identity, target margin and predicted value, align acquisition and retention teams, and use AI to turn growth strategy into activated audiences.
// STRATEGIC ROI
Stop treating spend as the strategy
Condor use cases start with a resolved customer graph, add predictive intelligence, and turn the resulting strategy into audiences that can be activated downstream. The goal is not more segments. The goal is better decisions about who deserves budget, attention, suppression, or a lifecycle path.
Profit signals
Prioritize margin and predicted value
Build audiences from margin, expected future value, likelihood to buy, and customer productivity instead of optimizing only for top-line spend.
Aligned teams
Coordinate acquisition, retention, and lifecycle
Give growth teams, lifecycle teams, and analytics teams the same identities and predictive traits so each channel acts from the same customer strategy.
// USE CASE PORTFOLIO
Activation use cases built around customer economics
The same graph can support acquisition, retention, cross-sell, suppression, and lifecycle campaigns because every audience is created from cohesive customer identity and reusable predictive signals.
01
High-value acquisition
Seed paid media and lookalike workflows with customers who are both valuable and productive, not just recent high spenders.
02
Margin-aware suppression
Exclude customers who are likely to convert anyway, are currently over-incentivized, or create low-margin acquisition loops.
03
Retention prioritization
Route churn-risk customers into lifecycle journeys when the expected save value justifies the offer, channel, and cadence.
04
Cross-sell activation
Target customers by predicted category affinity, product fit, and lifecycle stage so cross-sell campaigns reflect real buying paths.
// AI ACTIVATION PRESENTATION
Turn a growth strategy into activated audiences
Condor Activation Agent is the AI interface for activating the graph. Ask for an audience in business terms, let the agent apply identity, predictions, margin constraints, and destination rules, then sync the audience through the activation layer.
1
Define the business goal
2
Resolve eligible customers
3
Apply value and margin signals
4
Build the audience
5
Sync and refresh destinations
// CONDOR ACTIVATION AGENT
The AI interface for activating the graph
Condor Activation Agent translates growth goals into warehouse-backed audiences by using resolved identity, predictive signals, suppression logic, and downstream sync.
Ask
Build
Score
Sync
Schedule
Condor Activation Agent
Connected to warehouse, signals, and destinations
live
I need an audience for an outerwear campaign that should drive incremental revenue without wasting spend.
I built a predictive outerwear audience with 48,230 eligible customers. I prioritized customers with strong purchase intent and excluded people who would likely create wasted spend.
Outerwear affinity signal
Predicted 30-day purchase intent
Recent purchaser suppression
Active campaign exclusion
Looks right. Activate it on Google Ads and Meta.
I selected the top 20,000 customers, prepared the audience for Google Ads Customer Match and Meta Custom Audiences, and scheduled a daily refresh at 8 AM.
Google Ads Customer Match Meta Custom Audiences Top 20,000 Daily refresh
Build audiences around customer economics
Schedule a demo and see how Condor turns identity and prediction into activated growth use cases.