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AI & Machine LEarning
Programmatic Powered by AI
Bidease’s machine learning technology cuts through the complexity of programmatic, finding high-value users, optimizing in real time, and scaling performance automatically.
Achieve Your Goals with Best-In-Class Technology
Programmatic is full of moving parts, but Bidease’s technology cuts through the complexity with speed and precision. Our system combines AI with advanced machine learning algorithms to analyze billions of signals per second and make the most accurate predictions. We automatically refine bidding, audience selection, and creative performance in real time so your campaigns stay ahead of the curve.
During launch, our proprietary neural networks and lookalike models quickly ramp up your campaigns by identifying top-performing users for your app. As performance data comes in, A/B testing and model adjustments refine targeting, automatically shifting spend to your best audience segments. And with a dedicated team of AdOps and Engineering experts fine-tuning the system for your unique campaign goals, you can scale knowing your campaigns are running at peak performance.
Get to Know Our Models
Explore
countries and regions
Reach
apps
Access
devices
Place
bids/second
Serve
million ad impressions daily
Get a Head Start with Neural Networks
Bidease’s neural network processes billions of signals per second, recognizing subtle patterns in user behavior, placements, and bid strategies that other models miss. This advanced processing, known as deep learning, unlocks new pockets of inventory, fine-tunes targeting, and adjusts bidding strategies in real time better than traditional ML models.
Our neural network shortens time-to-goal, boosts performance by 60% during the exploration phase, and intelligently reallocates spend to the highest-quality traffic sources.
With globally distributed servers in the U.S., Netherlands, and Singapore, our system makes split-second decisions backed by real-time performance data so you can scale efficiently, maximize results, and hit the ground running.
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Target, Test, and Scale with Granular Segmentation
Reaching the right users in a competitive environment takes precision. Our industry-leading ML models analyze over 130 unique user features to identify high-value audiences and optimize every impression.
With advanced segmentation and unlimited A/B testing, you can refine targeting across geo, app category, behavioral trends, and more. As performance data comes in, spend is automatically reallocated to the highest-performing segments to drive stronger results.
Machine Learning Models Built for Every Campaign Goal
Different campaigns require different optimization strategies. Bidease offers a suite of advanced ML models designed to match your specific performance goals, whether you're focusing on growth, long-term user value, or both.
During launch, our lookalike (LAL) models search for new users who match your highest-value customers.
As your campaign matures, dedicated ML models for CPI, CPA, and ROAS take over, fine-tuning bid strategies to stay aligned with your goals. These models continuously assess performance, reallocating spend in real time to the apps and audiences delivering the best results for your campaigns.
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"Set-It-and-Forget-It" Campaigns Powered by Autopilot
Autopilot is an intelligent optimization tool designed to eliminate delays, reduce errors, and keep your campaigns running at peak performance.
From launch to maturity, Autopilot automates bidding, spend allocation, and model selection so your ads always reach the best users. Advanced features dynamically adjust your optimization strategies and pacing throughout the day so you can spend more time growing your other channels.
Bespoke AI Campaigns, Guided by Experts
Technology is only as good as the people behind it. That’s why every Bidease customer gets a dedicated AdOps expert who fine-tunes our models to match your unique goals.
Instead of leaving everything to automation, our AdOps and Engineering teams work together to monitor performance, optimize settings, and ensure the models continuously improve.
By tailoring our models to meet your unique goals, our AdOps specialists combine years of hands-on support with best-in-class technology to maximize results and exceed your KPIs.
Case Studies
Adapting to the Elements: Foodpanda’s Weather-Based UA Strategy
Combining ML and weather patterns to exceed Foodpanda's user acquisition goals.
Foodpanda
How Joom Reached New Shoppers with Bidease
Joom optimized its funnel with Bidease to increasing active shoppers and paying customers.
Joom
Moments Achieves 25% D1 ROAS with Bidease UA
How Bidease optimized supply paths and creative formats to increase paying players.
Moments: Choose Your Story
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