Contact person: AI Google Ads Targeting Optimizer

Phone:Show

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Location: FASSOUTA, Israel

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I have an idea for an AI-driven system that makes Google sponsored promotions far more precise by automatically refining targeting parameters. The core goal is to feed campaign data, live search trends, and keyword performance into a machine-learning model that can recommend—and eventually apply—better audience segments, bidding strategies, and creative tweaks in near real time.

I have the high-level concept sketched out but need a skilled developer or small team to turn it into a working product. I’m flexible on form factor: if the smartest path is a lightweight browser extension that hooks into the Google Ads interface, a standalone desktop tool, or a cloud-based web app, I’m open to whichever delivers the smoothest workflow and easiest maintenance.

Key expectations
• Build or integrate with Google Ads API for data pull/push
• Design and train an ML model (TensorFlow, scikit-learn, or similar) that scores keywords, audiences, and placements on predicted ROI
• Simple UI/UX where I can upload or select campaigns, trigger optimization, and review recommendations before they are applied
• Clear, human-readable reporting so results can be shared with stakeholders
• Deployment, basic documentation, and a short hand-off session so I understand how to maintain and iterate

Acceptance criteria
• A demo campaign shows at least a 10 % lift in click-through rate or a measurable improvement in cost-per-conversion over a two-week test window
• Codebase is well commented and under version control
• No hard-coded credentials; environment variables or encrypted secrets are used

If this challenge sounds exciting, let’s talk through the rest of the concept and map out milestones." (client-provided description)