How AdScale Works: AI Automation for Google and Meta Ads on Shopify

How AdScale Works

AdScale automates advertising for Shopify brands by combining data from the store with AI prediction models. The system creates campaigns, allocates budget, generates creatives, and updates performance throughout the day. This allows eCommerce businesses to scale Google and Meta ads with less manual work and more consistent results.

Overview of the AdScale Process

AdScale follows a structured workflow designed for eCommerce advertising. The platform collects store data, predicts revenue and ROAS, creates campaigns, adjusts budgets, and updates creative and audience settings. Every step in the workflow supports automated optimization on Google and Meta.

Step 1: Data Collection and Store Integration

AdScale integrates directly with Shopify. The platform imports product feeds, order history, customer behavior, and conversion data.

Shopify Data Ingestion
AdScale connects to the Shopify store and collects pricing, inventory, variants, and product metadata.

Product Feed Syncing
Product data flows into Google Merchant Center and Meta catalogs for accurate ads.

Conversion Tracking Alignment
AdScale verifies that Google and Meta pixels match your store events so the system can optimize against the correct signals.

Step 2: AI Prediction and Optimization Models

AdScale uses predictive models to determine how campaigns should run.

Revenue Prediction
Models estimate how much revenue each campaign, audience, or placement can produce.

ROAS Forecasting
The platform predicts expected return for each ad set and keyword based on historical data.

Bid and Budget Calculations
The system uses predictions to set budgets for Google and Meta campaigns and to decide which campaigns receive more spend.

Step 3: Campaign Creation and Deployment

AdScale builds campaigns automatically using templates tailored to eCommerce.

Google Campaign Types
The platform creates Performance Max, Shopping, Search, Display, and Dynamic Remarketing campaigns.

Meta Campaign Structures
AdScale publishes campaigns for prospecting, retargeting, and retention, using automated creative and audience settings.

Creative Variants
Multiple images, videos, and copy options are generated to test performance.

Step 4: Real Time Budget Allocation

AdScale adjusts budget throughout the day based on expected results.

Channel Balancing
Spend is shifted between Google and Meta depending on predicted performance.

Rule Based Scaling
Budgets increase when ROAS trends positive and decrease when performance drops.

Predictive Adjustments
The system uses forecasts, not just recent results, to guide spend decisions.

Step 5: Creative Automation

AdScale generates and tests creatives to find the best performers.

Automated Creative Generation
The platform creates ad variations using templates and product data.

Testing and Rotation
Creatives are tested across placements and replaced when performance declines.

Selection of Winning Variations
The system identifies the best combination of image, video, and copy for each channel.

Step 6: Continuous Learning Loop

AdScale refreshes campaigns and optimizations daily.

Daily Performance Ingestion
New performance data updates the prediction models.

Model Updates
The AI layer retrains frequently to match real market behavior.

Automated Refresh Cycles
Underperforming creatives, audiences, or keyword segments are replaced with better ones.

Cross Channel Optimization

AdScale uses a shared data layer to optimize Google and Meta campaigns at the same time.

• Budget shifts occur based on unified predictions
• Audiences can be refined using data from both platforms
• Reporting connects Google and Meta results into one funnel

Why This System Works for Shopify Brands

AdScale works well for Shopify merchants because:

• It uses real store data
• It can predict performance accurately
• It combines Google and Meta into one unified workflow
• It tests creatives quickly
• It removes manual work
  

Summary

AdScale works by integrating with Shopify, predicting performance, building campaigns, allocating budget, generating creatives, and optimizing both Google and Meta ads through a continuous AI driven cycle.

5. FAQ Section