COMPARE TRACKERS

Comparing Brand Trackers

A Performance-Oriented Way to Track Your Brand

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A Performance-Oriented Way to Track Your Brand

Method
Sample SIze
Audiences
Niche Audiences
Accuracy
Data Delivery
Frequency

Latana

Method

Uses MRP (Multilevel Regression and Post-stratification), an advanced data science method

Sample Size

Minimum 3,000 respondents

Audiences

1000s of audience segmentations

Niche Audiences

Recommended audiences

Accuracy

Reliably picks up changes of above 2-3% in niche audiences

Data Delivery

Intuitive dashboard optimized for audience discovery and collaboration

Frequency

Continuously updated insights to provide value throughout the entire year

Latana tick icon
Advanced Data Science method
Latana tick icon
Improving results through learning over time
Latana tick icon
Reliable audience segmentations
Latana tick icon
Detecting changes in KPIs of 2-3%
Latana tick icon
Continuous updates

Traditional Brand Tracking

Method

Uses standard quota sampling

Sample Size

Usually 500-1000 respondents

Audiences

Limited to a handful of audience segmentations

Niche Audiences

Pre-configured audiences only

Accuracy

No reliable change detection in niche audiences

Data Delivery

PowerPoint presentation or PDF that doesn't allow for interaction or collaboration

Frequency

Once per quarter/year

Latana Traditional Brand Tracking
Method Uses MRP (Multilevel Regression and Post-stratification), an advanced data science method Uses standard quota sampling
Sample Size Minimum 3,000 respondents Usually 500-1000 respondents
Audiences 1000s of audience segmentations Limited to a handful of audience segmentations
Niche Audiences Recommended audiences Pre-configured audiences only
Accuracy Reliably picks up changes of above 2-3% in niche audiences No reliable change detection in niche audiences
Data Delivery Intuitive dashboard optimized for audience discovery and collaboration PowerPoint presentation or PDF that doesn't allow for interaction or collaboration
Frequency Continuously updated insights to provide value throughout the entire year Once per quarter/year
Technical Check List
Advanced Data Science method
Improving results through learning over time
Reliable audience segmentations
Detecting changes in KPIs of 2-3%
Continuous updates

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