Innovative Product Search and Performance Max (PMAX) advertising powered by AI.
DEV Roadmap
Q4 2024
BlueWinston is bringing revolutionary updates in Q4 2024. We've prepared a range of improvements and new features for you.
Our goal is to provide you with even more effective tools for your Google and Microsoft PPC campaigns.
Microsoft Feed-Based Dynamic Remarketing Ads

1

New feature
We are implementing Microsoft Feed-Based Dynamic Remarketing Ads into BlueWinston.

2

New campaign
Unlike Google, Microsoft Ads offers this type of campaign separately. This allows for more flexibility in the settings.

3

New solution
With this implementation, BlueWinston will cover several campaig types for Microsoft Ads.
User-defined P.Max Labelizer
Current State
Currently, we have a Labelizer with predefined labels. These are set according to performance by our algorithm in BlueWinston.
New functionality
We are planning to expand to include manual entry of values. Users will be able to define each label according to their needs via advanced setup.
Benefits
This feature will bring more flexibility and customization. It will allow for more precise configuration of labels.
BlueWinston P.Max Campaign Importer

1

Problem
Many clients have P.Max campaigns created outside of BlueWinston and don't want to migrate them.

2

Solution
We are creating a P.Max Campaign Importer that will allow easy import of existing P.Max campaigns into BlueWinston with almost 0 data loss.

3

Future possibilities
P.Max import will open up new campaign types for clients and allow them to improve existing P.Max ads.
BlueWinston Core Updates
UI Enhancements
We are planning several updates directly in the BlueWinston user interface. The goal is to improve the user experience and efficiency.
Functional Changes
We are preparing changes in the functioning of some features. These changes will bring better performance and wider options for setting and optimizing campaigns.
New Features
We are implementing new features that will expand BlueWinston's capabilities. These innovations will increase the efficiency of your PPC campaigns and our automation tool.
Pricing and Server Improvements
1
New Pricing
We are updating the pricing structure. The quarterly price will be divided by three, as it is now, but will become a monthly payment.
2
Flexible Payments
We are introducing the possibility of renewable monthly payments. This should bring more flexibility for our clients and better cash flow.
3
Server Improvements
We are optimizing BlueWinston servers. The goal is to speed up the tool, improve data processing and ensure stability.
Automatic XML Feed Tag Saving and Mapping
Current State
Manual mapping for each campaign
Repeated setup
Possibility of errors during repeated mapping
Functionality
Automatic saving of mapped tags
Default mapping
Automatic use of saved settings
Benefits
Time saving
Accuracy
Consistency of settings
Minimization of errors
Search Ads Ad Patterns Improvements (Ad Texts)
Ad Customizers
Automatic text adaptation of ads based on keywords. Greater relevance of your ads + more dynamically changing elements.
Prolonged RSA Patterns
Possibility to extend the text from Headline 1 to Headline 2. Creation of more cohesive and engaging ads.
Pin Headlines
Improved function of pinning headlines and descriptions ads in Ad Patterns. Faster synchronization with Google/Microsoft Ads platforms.
DEV Roadmap
Q1 2025
BlueWinston is planning significant improvements in Q1 2025. We will focus on optimizing DSA campaigns, improving the P.Max Labelizer and developing new tools for e-commerce.
These innovations will improve ad performance and simplify the work for our clients.
DSA Campaign Optimization

1

DSA Performance Analysis
Identification of underperforming Ad Targets in DSA campaigns. Using advanced analytical tools for precise evaluation.

2

Ad Targets Removal
Systematic removal of underperforming ad targets. Freeing up space for new, potentially more successful Ad Targets in the DSA campaigns.

3

Ad Targets Renewal
Replacing deleted Ad Targets with new, promising goals. Using AI to select the most promising new ad targets.
Automatic Segmentation of P.Max Campaigns
1
Analysis of the "Parent" Campaign
The system analyzes the existing P.Max campaign. It identifies key parameters and performance metrics for optimal campaign splitting.
2
Automatic Splitting
BlueWinston splits the campaign into multiple sub-campaigns based on data & labels from the P.Max Labelizer. The process uses advanced algorithms for optimal segmentation.
3
Setting Strategies
The user sets strategies and budgets for newly created sub-campaigns. The system provides recommendations based on historical data.
P.Max Labelizer Performance Report
Before Labelling
Capture of performance metrics before applying P.Max Labelizer. Saving data for later comparison and analysis of campaign performance.
After Labelling
Monitoring campaign performance after applying labels. Detailed reports displaying changes in key metrics.
Comparative Analysis
Automatic generation of comparative reports. Visualization of improvements and identification of areas for further optimization.
POAS Labelizer
POAS vs. ROAS
POAS Labelizer provides more accurate profitability measurement. It takes into account the actual profit, not just revenue from ads.
Implementation
Integration of POAS calculations into the existing P.Max Labelizer. Requires additional data on product costs and margins.
Benefits
More precise targeting of ads to profitable products. Optimizing ad spend to maximize overall store profit.
GA4 Labelizer - Phase 1

1

Connecting to GA4
Establishing a secure connection with Google Analytics 4. Implementing API for data access.

2

Extracting Data
Downloading relevant data about products and their performance. Filtering and cleaning data for further processing.

3

Data Conversion
Transforming downloaded data into a structured format.
AI Product Titles and Descriptions Recommender
Analysis of Existing Texts
The AI algorithms analyze current product titles and descriptions in use. They identify keywords and areas for improvement.
Generating Suggestions
AI creates optimized versions of texts. It considers SEO rules and trends in e-commerce when generating new texts.
Implementing Changes
The user approves the suggested changes. The system automatically updates texts in Merchant Center with the first GMC update.
BlueWinston AI Bidding Tool for Search Ads (Text Ads)
DEV Roadmap
Q2 2025
In the second quarter of 2025, BlueWinston Development is introducing revolutionary tools. These innovations will enhance advertising strategies and campaign optimization. Get ready for a significant shift in the performance of your marketing activities.
Margin Labelizer:
A New Perspective on Margins
Margin Definition
A simple tool for defining the margin for each product. It allows for a better understanding of profitability.
Integration with ad systems
Automatic upload of margin data to ad platforms. Improve the accuracy and efficiency of your campaigns.
Campaign optimization
Using margin data when creating and adjusting campaigns. Increases the overall profitability.
GA4 Labelizer: Phase 2
Profit Report

1

Identification of top products
Precise analysis of the best-selling products. Provides a clear overview of the assortment's success.

2

Profitability analysis
Detailed evaluation of the actual profitability of each product. Reveals hidden costs and opportunities.

3

Portfolio optimization
Using data to improve product composition. Allows you to focus on the most profitable items.
AI Product Titles and Descriptions Recommender: Phase 2
Advanced Reporting
Detailed comparison of performance before and after implementing AI recommendations. Provides accurate metrics for improvement.
Custom Case Studies
Generating personalized case studies for each client. Transparently showcasing real client results.
Continuous Improvement
Leveraging feedback to constantly improve the AI algorithm. Ensures long-term efficiency.
Search Ads Bidding Tool: Phase 2
1
Intuitive User Interface
Improved UI for easy AI optimization setup. Enables efficient campaign management without expert knowledge regarding setup and optimization rules.
2
Self-Optimization
Ability to independently set up and manage optimization. Provides greater control over bidding strategy.
3
Advanced Analytics Tools
Integration of advanced analytical features. Offers deeper understanding of campaign performance and trends.
BlueWinston AI Ad Text Recommendations
AI Generation
Automatic creation of different ad text variations. Saves time, increases creative productivity and improves ad opti score.
Flexible Editing
Possibility of manual editing and fine-tuning of generated texts. Ensures perfect brand adaptation and brings the "human touch" to the AI.
Performance Analysis
Tracking the performance of AI-generated texts. Allows for continuous improvement & modification based on real time data.
Multiple filter variations in BlueWinston