Data Characteristics for This Industry Category
Advertising and marketing research draws data from advertising campaign backend reports, media monitoring API data, competitor ad asset libraries, industry advertising trend reports, and platform policy documents. Update frequency ranges from hourly to daily. Some real-time campaign data updates at the minute level. Document structures typically include fields such as delivery time window, impressions, clicks, conversion cost, asset type, delivery platform, and budget allocation. Units include cost per thousand impressions, cost per click, monetary values, and asset dimensions. Individual documents have high field combination density. Some asset-related documents also include multimodal content metadata.
Constraints on Context and Token Management
High-frequency real-time data, high-density multi-field documents, and multimodal asset metadata for advertising and marketing research create multiple constraints for context and token management. Frequent recall is required for high-frequency updated data. A large context window will rapidly consume token quotas and trigger overflow. When splitting multi-field documents, retain field associations. Removing these associations will break the logical integrity of research analysis, and cause failed context connections after segmentation. Multimodal asset metadata and parsed content use additional tokens. Failure to set a separate multimodal token limit will cause upload or parsing failures. Research analysis typically references multiple sets of competitor and in-house data at once. Too many recalled entries will exceed the token capacity of the context window.
Configuration Recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContextTokens | 8000-10000 tokens | Matches the total character count of single recalls for multi-field documents in advertising research, to avoid context window overflow |
chunkSize | 800-1200 characters | Aligns with the field combination density of advertising research documents, to avoid losing associations between delivery data and asset information after splitting |
recallTopK | Top 6-8 entries | Balances multi-source data reference required for research analysis and context token usage, to avoid excessive recalls exceeding window limits |
multimodalMaxTokens | 1500-2000 tokens | Adapts to multimodal parsing requirements for advertising asset images and video clips, with separate limits to prevent excessive token consumption by multimodal content |
uploadFileMaxSize | 20-50 MB | Adapts to file sizes of advertising asset packages containing high-resolution images and short videos, to avoid token limit exceeded errors during upload |
responseMaxTokens | 2000-3000 tokens | Meets the requirements for complete strategy output in research analysis, while avoiding excessive context window usage by responses |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis, and testing against local samples is recommended before finalizing settings.
Common Configuration Errors
- Issue: Upload failures occur when uploading high-resolution advertising asset images. Low-resolution images upload successfully in some cases. Cause:
multimodalMaxTokensis not configured, or the set value is too low. Token consumption for multimodal parsing of high-resolution images exceeds the configured limit. - Issue: After setting
responseMaxTokensto 3500 tokens, the length of some research analysis responses is only 200 tokens. Cause: Research documents loaded in the context window consume too many tokens. Insufficient available tokens remain to support the preset response limit. - Issue: After deploying via WeChat Official Account cloud space, configuration of token-related parameters on the access page is not supported. Cause: Token parameters for cloud space deployment versions inherit global configurations by default. Modifications must be made via the global settings page.
How to Verify Correct Configuration
- Upload the largest-sized single advertising asset package. Check system logs for token limit exceeded related errors. Adjust relevant configurations to values suitable for the current scenario.
- Submit a research query that includes multiple sets of competitor campaign data. Verify that the number of recalled documents matches the
recallTopKconfiguration. Confirm that the context window is not overused. - Submit a long-text research analysis request. Check that the response length is close to the preset
responseMaxTokens. Confirm that token allocation in the context window is reasonable. - View the
maxContextTokensparameter on the global configuration page. Confirm that its value is greater than the sum of the total token count of single-recall documents and the response token count.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.