Paid Media Optimization
ByTek Prediction Platform, leveraging proprietary data and artificial intelligence, enriches CRM with advanced insights and optimizes marketing automation strategies, making them significantly more effective.
Schedule a MeetingWith the Bytek Prediction Platform, proprietary data and artificial intelligence can be leveraged to optimize paid campaigns and increase conversion rates.
RATE
.png)
.png){kind=small}
.png)
.png)
.png)
.png)
.png)
.png)
Predictive Action Modeling for Campaign Optimization
Unified customer data, two modules work together to optimize paid campaigns, using predictive models to estimate the likelihood of specific actions.
%20(1).png)
Action Prediction
Analyzes users' past behaviors to estimate the likelihood of future actions.
Signals Manager
Integrates predictive scores directly into the client’s advertising platforms.
Budget Allocation
Resources are strategically directed toward the most promising targets, effectively minimizing waste.
Custom Conversion Signals
Predictive scores are fed directly into advertising platforms as conversion signals, enhancing bidding and targeting strategies.
Performance Improvement
Campaigns reach higher-quality leads, increasing ROI and lowering the cost per acquisition (CPA).
Predicted LTV as a Conversion Signal
With consumer data consolidated and a unified view obtained, two modules are activated to leverage predictive LTV and increase conversions.
Predicted LTV
Applies advanced predictive algorithms to estimate the total value a consumer is likely to generate over their lifetime relationship with the company.
Signals Manager
Seamlessly integrates the predictive values into the client’s advertising platforms to enhance marketing strategies.
Budget Optimization
Resources are allocated strategically to maximize ROI by focusing on acquiring leads with significant lifetime value.
Custom Conversion Signals
Customer LTV serves as advanced input for advertising platforms, enabling more effective targeting and value-based bidding.
Performance Scaling
Campaigns achieve higher profitability by focusing more on customer quality rather than quantity.
First-Party Audiences to Optimize Paid Campaigns
After data unification and the creation of a Single Customer View, two modules are activated to leverage first-party audiences in optimizing paid campaigns.
AI RFM Clustering
Leverages advanced clustering algorithms to group users into homogeneous segments based on behaviors, preferences and shared characteristics.
Audience Manager
Seamlessly integrates the segmented clusters into the client’s paid media platforms, optimizing advertising strategies.
Lookalike Campaigns
With which to identify and acquire leads with similar characteristics to existing high-value customers.
Exclusion Campaigns
To avoid targeting irrelevant or already high-performing users, optimizing the advertising budget.
Retargeting Campaigns
With which to send personalized messages and offers to rekindle interest and encourage action.