Home / NQI Data Lift
NQI Data Lift
NQI Data Lift allows marketers and agencies to conduct customized data quality and performance evaluations.
NQI Data Lift includes capabilities such as:
- Data comparisons using a standard or customized scoring framework
- The ability to align datasets to specific brand/campaign needs
- Tracking of dataset scoring against KPIs over time
- Data accuracy assessments that provide predictive performance insights
- Campaign performance measurement and optimization
- Monitoring of data performance over time
Use cases
Data comparison
- How do my current data sources score on data quality?
- How does one dataset or segment compare to another?
Fit for purpose evaluation
- How do the characterisitics of a dataset align to my custom taxonomy?
- Which datasets score best against my custom data quality framework?
Guide buying transactions
- Which datasets should I leverage to address a specific campaign/brand KPI?
- Which dataset has the best potential to drive campaign performance?
Measure performance
- How does the dataset perform against my campaign KPIs?
- What data optimizations should I make to increase my campaign performance?
Key benefits
Marketers & Brands
- Leverage NQI scores to evaluate data and make comparisons across datasets
- Use NQI Data Lift to assess accuracy before using a dataset and to optimize data strategy during a campaign
Data Providers
- Use NQI scores to highlight your strengths and show how your data fits a buyer’s needs
- Leverage NQI Data Lift to show data accuracy pre-campaign and optimize performance during a campaign
Technology & Data Platforms
- Enable NQI scores in your platform to help data buyers make data comparisons
- Surface NQI Data Lift results to help data buyers assess accuracy pre-campaign and optimize performance during a campaign
Want to learn more?
Related Insights
The Human Toll of Bad Data
Bad data does not only impact marketing outcomes, it can also have a real human impact but we can work together to increase transparency and data quality.
Data Quality Scoring: Identity and Transparency in MarTech
Watch the webinar recording to learn how data quality scoring can bring transparency to MarTech
NQI Methodology White Paper
A Data Quality Framework and Scoring Methodology
2021: Covid, Cookies and Quality
As we all look towards a better year in 2021, key themes in marketing technology will continue to point to the vital need for an established data quality framework.
Data Quality Series Part 3: Trust but Verify
Buying data can be a risky proposition which is why it is important to have a verification process upfront.
The Neutronian Manifesto: A Call to Arms on Data Quality
When it comes to data quality, we in MarTech find ourselves at a crossroads.