ADXL leverages advanced AI and machine learning technology to optimize advertising campaigns across various platforms. Our AI models are primarily trained on English data, which enables the highest level of accuracy and effectiveness in English content, targeting, and audience segmentation. This article provides essential information on using ADXL with non-English languages, focusing on best practices and accuracy levels.

Recommended Language: English

English is Recommended: For optimal results, we strongly recommend using English for all content, segmentation, keywords, targeting, and decision-making. When campaigns are run in English, ADXL’s models achieve 98%-100% accuracy across all advertising activities.

Communication in English: All communications between advertising accounts and third-party partners are managed in English to ensure clarity, accuracy, and streamlined coordination.

1. Translation Capabilities: ADXL’s AI models are equipped with advanced translation capabilities to support multiple languages. However, translation accuracy is lower than for English, and we always recommend using English content and English advertisers for maximum effectiveness.

2. Lower Accuracy in Other Languages: While ADXL can handle various languages, the accuracy of translations, audience segmentation, and targeting decisions may vary. Users should always verify non-English content, targeting criteria, and keywords to ensure they meet campaign objectives.

When using ADXL to create campaigns in languages other than English, it’s essential to follow these checkpoints for effective ad copy, targeting, keyword accuracy, and audience segmentation.

General Checkpoints

Ad Copy Review:

Double-check ad copy for clarity, cultural fit, and effectiveness in non-English languages to ensure it conveys the intended message accurately.

Targeting Criteria:

Confirm that targeting settings are suitable for the language and the audience, considering cultural and linguistic nuances.

Keyword Verification:

Ensure that selected keywords resonate with the target audience in their native language and are contextually relevant.

Cultural Sensitivity:

Verify that messaging is culturally appropriate and aligns with the values and expectations of the target market.

Grammar and Syntax Check:

Review grammar and syntax in the chosen language to maintain professionalism and accuracy.

Tone and Style Consistency:

Make sure the tone and style align with the brand’s voice and the preferences of the target audience.

Competitor Analysis:

Research competitors’ ads in the same language to identify opportunities for differentiation.

Engagement Metrics Review:

Analyze past ad performance in the specific language to refine and improve future campaigns.

Visual Content Check:

Ensure that visuals are culturally relevant and appropriate to avoid unintentionally offensive imagery.

Landing Page Consistency:

Confirm that landing pages match the expectations set by the ad in different languages.

Below are accuracy levels and checkpoints for using ADXL in various non-English languages, with the understanding that English remains the recommended language for maximum accuracy and reliability:

To further optimize ADXL’s performance in multiple languages, apply these AI decision-making and targeting checkpoints:

User Intent Analysis:

Analyze the intent behind user queries to ensure that ads align with their expectations (e.g., informational, transactional).

Behavioral Insights

Leverage past user behavior to refine targeting strategies based on interest and engagement patterns.

Sentiment Analysis:

Incorporate sentiment analysis to gauge user emotions and tailor ad messaging accordingly.

Dynamic Audience Segmentation:

Create real-time audience segments based on user interactions, adjusting targeting as user behavior evolves.

Contextual Relevance:

Ensure ads are contextually relevant based on factors such as location, device, and time of day.

Predictive Modeling:

Use predictive analytics to anticipate user behavior based on prior interactions for more proactive targeting.

Cultural Considerations:

Factor in cultural differences that may influence user intent and audience behavior across different language groups.

Ad Personalization

Leverage AI to personalize ad content according to demographic and interest-based data for higher engagement.

Cross-Channel Consistency:

Maintain a consistent message across advertising channels to reinforce brand identity.

Feedback Mechanisms

Implement feedback loops to improve targeting accuracy and gather insights from user interactions.

For optimal advertising success, we highly recommend using ADXL’s AI-driven solutions primarily in English. When creating campaigns in other languages, follow these detailed checkpoints to maintain quality and effectiveness. By tailoring targeting, ad copy, and cultural relevance, ADXL enables impactful multilingual campaigns. For further assistance, please reach out to our support team.