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Online & Offline Advertising Investment Optimization
MixReach is a mature online and offline cross-screen budget allocation and optimization tool. It aims to maximize user investment returns by focusing on reach as the objective.
Why MixReach?
Advanced Technological Capabilities
Supports intelligent budget allocation and optimization across screens and media channels
Rich Historical Data
Provides more accurate insights into media planning
Rich Data Dimensions
Meets diverse customer needs with a wide range of data dimensions
01
Integrating and analyzing user cross-screen behavioral habits, deduplicating data results, and finding the optimal budget allocation solution for advertisers.
Step 1: Cross-Screen Planning: Compare the reach effectiveness of different screens to determine the optimal single-screen strategy.
Step 2: Cross-Screen Budget Allocation: Allocate budgets across screens, unifying the universe as the population.
Step 3: Integration of Reach Curves: Integrate reach curves from various screens and calculate cross-screen deduplicated data.
Step 4: Utilize Cross-Screen Deduplicated Data: Fix N+Reach/cost and determine the optimal combination based on the deduplicated data.
Step 5: Evaluate and Validate Advertising Performance: Assess and verify the actual advertising performance based on the cross-screen plan.
02
Years of advertising monitoring have resulted in a vast accumulation of data, supporting effective prediction of campaign outcomes.
Collaboration with Top Brands: Partnered with 80% of the Top 300 brand advertisers, accumulating a massive dataset covering 337 regions nationwide, providing valuable references.
Comprehensive Industry Coverage: Covers 18 industries, including food and beverages, cosmetics and personal care, pharmaceuticals, and healthcare.
Extensive Advertising Monitoring: Conducts over 70,000 real advertising monitoring campaigns annually, with a daily exposure of 7 billion. Leverages comprehensive big data to accumulate reach data.
Advanced Data Analysis: Utilizes a combination of large and small data, analyzing user behavior based on advertising exposure ID-level data and cross-screen behavioral research. This includes analyzing historical user behavior, timestamps, and locations. Algorithmic tracking is used to calculate the probability of users being reached simultaneously across multiple screens and media channels.
03
Providing rich data dimensions and supporting various combinations for optimization tasks.
Flexible Brand Settings: Industry-wide, industry-specific, and customized brand settings with flexible combinations of conditions such as market, gender, and age.
Multi-Screen Support: Support for reach curves and MIX optimization tasks across multiple screens, including PC, Mobile, PM, OTT, DTV, IPTV, OOH, and Live TV.
Digital Media Optimization: Support for MIX optimization tasks across numerous digital media platforms on the PM side.
Reach curve calculations are supported for industry-wide, industry-specific, and customized brand settings, considering factors such as region, gender, age, terminal/media, and advertising format.
Region and TA dimensions are supported for mainland China, provinces, and 337 cities. It also supports bundled calculations, with support for gender and age segments.
MIX optimization supports screen-to-screen mix, media-to-media mix, and ad format-to-ad format mix.
After the advertising campaign is launched, the performance can be evaluated by inputting the campaign data into MixReach for analysis and comparison with the estimated results.
