FAQ

How is this different from MOSAIC, PRIZM, and other segmentation systems?

Traditional geodemographic systems rely primarily on demographics to cluster people or areas, then often project survey responses onto the population. PersonaLive classifies households using behavioral signals—social, spend, and location—together with demographics. See Methodology.

What sources are used to segment households?

Households are assigned to one of eighty segments using:

Social media — accounts and brands people follow
Spend data — credit and debit card patterns
Location data — places visited via mobile signals
Demographic data — age, income, marital status, and similar attributes

Details are in Methodology and the Overview.

Can a household belong to more than one segment?

No. Each household belongs to one segment. After major life changes (for example moving, having a child, or marriage), a household’s segment may update.

Is everyone in a census block group in the same segment?

No. PersonaLive is built at the household level, so a single block group typically contains many segments.

What is the difference between groups and segments?

Groups are the 17 rollups that segments belong to. Segments (80 total) capture finer behavioral differences within a group. Groups are useful for higher-level analysis and when you want fewer creative or audience variants. Segments within a group are ordered roughly by income (highest to lowest within the group).

Example — group J: Sunset Boomers:

J01: Picturesque Prosperity
J02: Destination Retirees
J03: Couples Coasting In
J04: Golden City Solos
J05: Scenic Seniors

See Dataset Structure for the full table and Segments for profiles.

What do indexes represent?

An index measures a segment’s propensity relative to the national average, centered on 100. A score of 200 means twice as likely; 300 means three times as likely.

Example: if M03: Camo & Cornfields has an index of 366 for visiting a brand, that segment is 3.66× as likely as the average U.S. household to visit that brand.

Indexes make scores comparable across large and small brands.

How are head of household age and estimated income determined?

Because PersonaLive is primarily behavioral, segments do not map perfectly to a single age, income, or race bucket. Typical head-of-household age and income for a segment combine the highest-indexing and highest-percentage census age and income ranges for that segment.

PersonaLive is primarily a behavioral segmentation. Households are grouped more by how they behave (social, spend, and location signals) than by demographics alone. An average-income household can land in a higher-income-leaning segment if its behavior matches that segment—and a high-income household can land in a more frugal-leaning segment if its behavior does.

Live social topics in a segment profile are the top unique social topics for that segment over the past two weeks. See Live Data on Segments.

What is the date range for live in-store visitation?

Live in-store visitation updates weekly. It reflects change in visitation in the most recent month compared with the 12-month average. See Live Data.

Where does Channel Preferences data come from?

Channel Preferences measure a segment’s propensity across media channel categories using social following data (engagement with multiple accounts in each category). Use them to guide media budget mix, ad placement, and a qualitative read on who is in the segment. They appear on the segment Overview and in the Channels tab under Social Following.

How can Channels inform media spend?

On a segment profile, Channel Preferences show where the segment over- or under-indexes across channel types such as magazines, websites, news, podcasts, TV channels, and TV shows.

Example: when targeting H02: Rising Professionals, a podcasts index of 130 means about 30% more likely than average to engage with podcasts, while a TV channels index of 86 means less likely than average. For N01: Dirt Road Dynasty, a TV channels index of 170 points to TV-heavy placement; a podcasts index of 88 suggests podcasts are a weaker fit.

See Social Following and Marketing Activation.

How can Channels inform ad placement?

Under Channels, open the specific publications or properties within a channel type to choose where ads should run. For example, when targeting A01: Midas Might, you might restrict placements to sites that over-index for that segment (such as foreignpolicy.com, wsj.com, or venturebeat.com). That can reduce wasted spend and keep ads in context that fits the audience.

Live social topics and related conversation signals on the segment profile show what the segment is talking about. Combined with demographics and lifestyle cues, they help shape tone, imagery, and messaging—for example tech-forward creative when topics skew digital, or wellness imagery when lifestyle conversation points that way.

For packaged creative direction, use Campaign Brief on Segments and Personalizing creative by segment.

Use Live Data and seasonal topic patterns on the segment profile to plan content ahead of campaigns. If a segment historically spikes on themes like climate, Earth Day, or gardening in spring, you can schedule creative and content calendars around those interests before the moment peaks. Pair this with Interests for longer-running lifestyle themes.

How can Influencers support influencer marketing?

On Social Following → Influencers, look for creators with an outsized following among your key segments. Example: a skincare brand targeting E02: Urban Fashion might find that women in that segment are several times as likely as average to follow a given personality—useful for partnership outreach or testing boosted content from that creator. Filter by gender when the campaign is gender-specific.

How can a retailer or property owner use Interests?

Interests on the segment profile are lifestyle and shopping themes built from groups of related social accounts (not single handles). If a trade area is dominated by E02: Urban Fashion, Interests might show strong indexes on categories such as beauty, jewelry and leather goods, or fragrances—signals for co-tenants, merchandising, and product mix. See Interests and Site Selection.

How can a creative team use Interests?

Ground creative in the segment’s strongest Interests. For J02: Destination Retirees, travel and recreation themes that over-index can inform imagery (for example relaxed vacation settings) and copy. Combine Interests with Campaign Brief lifestyle imagery and Marketing Activation.

Which brands get visitation indexes?

With rare exceptions, brands used for visitation indexes generally:

Have at least 50 locations
Have locations in at least 10 states
Have locations in at least 3 BEA regions

How is regionality handled for visitation indexes?

Indexes use data from markets where the brand is present. If a brand operates only in certain metros, indexes use segment and location data from those markets. If a segment has insufficient exposure to a brand, no index is produced for that pairing.

Can I compare my brand to competitors?

Yes. Use Explore and Analyze (including bubble/comparison views), and on The Strategist plan use Trends, Cross Shop, Share of Wallet, and Competitive Dashboard.

How do I enrich my own customer or mobile data?

Use Append for locations, mobile reports, and customer lists, or the API for programmatic matching. Geographic Cloud files are a separate deliverable—see Delivery Format and Accessing Data.

What is required to match a customer to a segment?

At minimum, an address. First name, last name, and other fields can improve match rate. When a precise household match is not possible, matching may fall back to block group or ZIP dominance. Outputs include a match level. See Append and API Usage.

Where can I get foot traffic / mobile data?

Upload reports from your mobile data provider (for example Placer.ai or similar) in Append → Mobile Reports.

How does PersonaLive differ from Geosocial Proximity?

PersonaLive classifies households. Geosocial Proximity scores areas from geotagged social behavior. See the Proximity overview and Proximity FAQ.

FAQ

On this page