Social media ad influenced purchaser likelihood

social_media_ad_influenced_purchaser_likelihoodLifestyleInteger · rank

Ranks an individual's likelihood to make purchases because they were influenced by a social media ad, modeled based on whether the household members have made six or more purchases by clicking on an ad in a social media app in the last 12 months. Known or imputed for 247.9 million individuals — 99.3% of Faraday's identity graph.

At a glance

Coverage today
99.3%
Typical coverage
99.6%
Individuals with a value
247.9M
Median
53 rank
Most values come
from the person
Latest collection
May 1, 2026

Distribution

n = 247,862,630

Share of individuals with a known value in each band. The middle 50% falls between 29 and 77 rank, shaded darkest.

P10
13
P25
29
Median
53
P75
77
P90
91

P10 means 10% of individuals have a value at or below this one, and P90 means 90% do. P25 and P75 bound the middle half. The median is the middle: half are below it, half above.

Median over time

53 rank

53 rank → 53 rank across 12 collections, shaded between P25 and P75. Estimated from a 1% sample of individuals.

Mar 2024Nov 2024Apr 2025Oct 2025Dec 2025May 2026

Coverage

Latest collection: 229,689,060 individuals

Coverage by state

Percentage of individuals in each state with a value.

Coverage over time

99.3% today

Share of individuals holding a value at each monthly snapshot. A value carries forward for one year.

Mar 24Nov 24Apr 25Oct 25Dec 25May 26

How we arrive at a value

Whether a value was observed on the person themselves, carried from their address, or estimated from the people around them.

On the person — 100%
A named person, from a record about that person.
From address — 0%
Not used for this attribute — no value is inherited this way.
From geography — 0%
Not used for this attribute — no value is inherited this way.

Coverage, in context

Where 99.3% sits on the catalog’s own coverage range.

catalog min 0%max 100%

Higher coverage than 48% of individual-level attributes in the catalog

Freshness

How recently this was collected, and how often a new collection arrives. Each bar is the number of individuals in that collection. Gaps are real — collection is periodic, not continuous.

May 1, 2026
latest collection
5 months 2 days
since the latest collection
quarterly
new collection cadence
Mar 24Nov 24Apr 25Oct 25Dec 25Mar 26

Change between collections

The share of individuals whose value is different from the previous collection.

59.3%

of individuals changed value between the two most recent collections — 4.4× the catalog median of 13.5%.

Went down 29.1%Unchanged 40.7%Went up 30.2%

Contribution ledger

12 ingestions

1 authority contributed since Mar 2024.

ObservedIngestedCountID
2026-05-012026-09-10266,506,942c5492806…
2026-03-012026-07-01264,096,9771181277b…
2026-02-012026-07-02264,777,400af53c569…
2025-12-012026-08-11268,508,09184d6a1c5…
2025-11-012026-08-11268,299,874a071c538…

Technical details

API name
social_media_ad_influenced_purchaser_likelihood
Category
fig/lifestyle
Type · unit
Integer · rank
Statistical type
ordinal
Allowed values
null
Derivations
null
Directionality
Higher number means a greater ranked likelihood.
Deprecation
false

In a payload

{
  "attributes": {
    "social_media_ad_influenced_purchaser_likelihood": 53
  }
}