Communication big data analysis engine, featuring 4 proprietary evaluation models: ROC Reach Assessment, EOC Expectation Assessment, DMF Media Friendliness, WMI Influence Index, million-level data integration, quantifying brand communication power, scientifically evaluating communication input-output
Traditional communication effect evaluation relies on shallow metrics like impressions and click-through rates, unable to answer the core question of "what communication actually brought to the brand." The GEO Communication Effect Analysis Platform uses 4 proprietary evaluation models to scientifically quantify communication value from four dimensions: reach, expectation, media friendliness, and influence, making every communication investment traceable and result-oriented.
Communication big data analysis engine, featuring ROC Reach Assessment, EOC Expectation Assessment, DMF Media Friendliness, WMI Influence Index 4 proprietary evaluation models, million-level data integration, quantifying brand communication power, scientifically evaluating communication input-output. From multi-source data collection to 4 model evaluation, from reputation graph to visualization reports, building a complete communication effect analysis closed loop.
| Evaluation Models | 4 Proprietary ROC/EOC/DMF/WMI Evaluation Models |
| Data Integration Volume | Million-level Multi-source data integrated consolidation |
| Data Sources | 20+ Sentiment/Communication/Reputation/Audience Data Sources |
| Evaluation Dimensions | 30+ Multi-dimensional communication effect evaluation |
| Report Types | 6 Types Communication effect/media friendliness/KOL evaluation, etc. |
| Update Frequency | Daily Data daily update analysis |
GEO Communication Effect Analysis Platform，4 ProprietaryEvaluation Models，Scientifically quantifying brand communication power