SparkToro's data is built by sampling and aggregating large-scale clickstream data and public LinkedIn profiles. Like any sample-based research, it is directional rather than exact: it is excellent for spotting patterns, comparing options, and prioritizing where to focus, and it is not meant to be a precise census of every person.
Things that affect accuracy:
- Audience size. Larger audiences produce more stable, reliable results. Very niche audiences draw from smaller samples and can be noisier.
- Sample-based by nature. Results reflect the people represented in the clickstream panels and public profile data we use, so they approximate a real audience rather than capturing every individual in it.
- Coverage varies. Topics, regions, and platforms with stronger signal in the underlying data tend to be better represented.
Treat the results as a strong, fast starting point for strategy, then validate the highest-stakes decisions against your own first-party data.