- Where does Qloo's data come from?
- How often is Qloo's data updated?
- Does Qloo collect PII?
- Does Qloo require my customer data to generate insights?
- What is a dashboard?
- How do I create a dashboard?
- How do I rename, clone, share or delete a dashboard?
- Can multiple users access the same dashboard?
- How can I return to my dashboards home page?
- How do I view all of my dashboards?
- Do modifiers replace the inputs in the base query?
- How many inputs can I insert into any given query?
- How do I save my results?
- Why are affinity scores useful?
- What exactly does the score mean?
- Why does the definition of an affinity score vary across use cases? Is this a limitation or a feature of the system?
- Why are the affinity scores for top results so close together?
- Is there a meaningful difference if one result has an affinity score of 92 and another scores 91?
- How can I use affinity scores to help choose brand partners or collaborators?
- How are index and affinity scores different?
- Is the score a percentage of a survey sample?
Qloo is the leading AI company demystifying the intricacies of global consumer tastes and preferences through Taste AI, a privacy-centric intelligence engine that reveals and predicts humans' nuanced tastes.
Qloo's solutions are available through our self-service platform, Insights by Qloo, or by integrating with our Insights API.
Qloo has four primary data sources:
- Proprietary First Party (TasteDive API Ecosystem 7.5m+ Cross-domain Panel)
- Third Party
- Proprietary Entity Database (500+ Million Entities | Normalized and Structured), many more millions of properties, descriptions, etc.
- Proprietary API Ecosystem Learning Rights (Fortune 500 Financials Anonymized Transactions, JCDecaux, Michelin, Samsung, Netflix, etc.)
And some supplementary sources:
- This service uses data from OpenStreetMaps, available freely under the Open Database License (ODbL) at https://www.openstreetmap.org
Qloo's data is updated daily, weekly, and monthly, depending on the category, to ensure relevance.
Qloo does not handle or depend on any personally identifiable information (PII) whatsoever to deliver capabilities.
Qloo is designed to overcome cold starts and does not require customer data to generate insights.
Insights by Qloo is an easy-to-use, self-service tool for consumer insights that reports and predicts trends in people's tastes across various cultural categories, including film, television, dining, travel, music, fashion, podcasts, brands, and more.
Contact us to get started.
Insights is designed for all users, regardless of their technical background. It requires no prior knowledge of APIs.
A dashboard is your home base for visualizing and storing insights. Inside a dashboard, you can generate multiple insights based on your target audience.
Follow the instructions for creating a dashboard here.
In an open dashboard, click the three-dot menu on the right side of the base query at the top of the page.
Yes. To share a dashboard, click on the three-dot menu to the right of the base query.
Click on the square grid icon in the top left corner of your open dashboard.
There are two methods for viewing all your dashboards:
- Click on the square grid icon in the top left corner of your open dashboard to be taken to your Insights home.
- Click on the plus icon in the top left corner of your open dashboard to see your existing dashboards in the drop-down menu.
It depends on the type of modifier:
- Entity modifiers: These are additive- they increase the specificity of the query and do not replace other inputs.
- Location modifiers: These will replace the location in the base query.
- Gender modifiers: These will replace the selected gender in the base query.
- Age modifiers: These expand the age range and do not replace the base query age bracket.
As many as you would like!
Your dashboards will save automatically.
Affinity scores provide actionable insights into the strength of relationships between inputs (like demographics or preferences) and outputs (like brands or locations). They help businesses deliver personalized recommendations, understand audience behavior, and make data-driven decisions across various use cases. Explore real-world applications.
The affinity score measures how strongly two entities are connected, with 100 indicating a strong relationship and 0 meaning no correlation. Its meaning varies by context. Learn more.
Why does the definition of an affinity score vary across use cases? Is this a limitation or a feature of the system?
The meaning of an affinity score varies because it is designed to adapt to different contexts: evaluating entity similarities, geospatial relevance, or capturing key characteristics. This flexibility is a feature, not a limitation; it ensures the score remains meaningful and actionable across diverse applications. Learn more.
When many results score highly, it often means your input is broad or strongly defined, and the system has found several equally relevant matches. Learn more.
Not usually. Small differences often reflect similar relevance. See how to interpret this.
Affinity scores quantify the strength of a connection, while the index determines the relative order of results. The index prioritizes the most relevant entities within a given query, even when score differences are minor, ensuring that the top result matches the request best.
Affinity scores can help identify brands that are culturally aligned with your target audience. For guidance on how to interpret and apply scores in these scenarios, see this section in the Interpreting Affinity Scores guide.
No, the score is not based on survey data or percentages of a sample. It is calculated using advanced AI models that analyze relationships between inputs and outputs, such as audience preferences or geospatial relevance. A score of 95, for example, indicates a strong connection between entities, not that 95% of people in a survey preferred it.