Veeva Crossix DIFA

Veeva Crossix DIFA is the leading SaaS platform for measuring and optimizing healthcare marketing across media channels, such as websites and digital campaigns for Rx, OTC, clinical, claims, consumer, hospital, and media data.

difa_campaigns__v

Field Type Description
brand__v varchar(250) Name of the brand (drug) in the platform
campaign__v varchar(250) Name of the DIFA campaign and year
start_time__v date The date that the first consumer was exposed to the digital campaignin the media population and Zip-3
end_time__v date The DIFA deliverable that results were reported on.
media_view__v varchar(300) The overarching view in which the media is being reported on for theparticular Zip3. Possible values are Overall or Ad Type
ad_type__v varchar(100) Aggregation of the type of digital media the audience was exposed to
zip_3__v varchar(3) The 3-digit prefix of a US Zip Code
report__v varchar(256) Campaign Report Type
metric__v varchar(512) Class of metrics reported on. For the first release of the Zip-3 datathe only metrics available will be Cumulative Impressions, Cumulative Unique Reach& Average Frequency
projection__v numeric(24) The value that corresponds to the # of Cumulative Impressions or CumulativeUnique Reach for that time in a given media population and Zip-3. OR correspondsto the average frequency of exposure within that Zip-3 during that time period
raw_filename__v varchar(200) Filename of source data

difa_cumulative_campaigns__v

Field Type Description
brand__v varchar(250) Name of the brand in the platform
campaign__v varchar(250) Name of the DIFA campaign
reported_time__v date Reported time from the DIFA dashboard
view__v varchar(256) The overarching view in which the media is being reported on
publisher__v varchar(250) The specific media partner the audience was exposed to
placement_group__v varchar(256) The specific set of content on a media partner the audience was exposed to
placement_id__v varchar(100) The Id of the placement in a media partner's ad server
site_type__v varchar(256) The type of site the publisher belongs to.
audience__v varchar(100) The name of the audience exposed to a specific media strategy
tactic__v varchar(100) The specific technique used to reach the audience
ad_type__v varchar(100) The type of media the audience was exposed to (i.e. Audio, Online Video, etc.)
report__v varchar(256) Campaign Report Type
metric__v varchar(512) Class of metrics reported
percentage__v decimal(10,9) Incidence rate of metric within population of analysis
targeting_multiple__v decimal(10,9) Comparison to Baseline Index for each specific metric or report
projection__v numeric(24) Volume within the population that meet criteria for each metric
statistical_significance__v numeric(1) Metric Statistical Significance (1=Low, 2= Medium, 3=High)
average_months_post_exposure__v numeric(24) Average number of months that have elapsed from each consumers first exposure of the digital campaign to the latest deliverable date. Capped at 3 months of exposure time.
average_cpm__v numeric(24) Cost per 1,000 impressions in USD
estimated_cost__v numeric(24) Estimated cost of the given population in USD
cost_per_target__v numeric(24) Calculated as Estimated Cost/Projection in USD
overlap_range__v varchar(51) Indicates the % overlap of individuals exposed to the first publisher that were also exposed to the second publisher. Ex: If the population is WebMD - Everyday Health and the overlap range is 0.05-0.1 then this is saying that among individuals exposed to WebMD media, 5-10% were also exposed to Everyday Health media.
metric_type__v varchar(250) The type of metric used for benchmarking
condition_size__v varchar(250) Relevant condition size for the audience metric that is being used for benchmarking
benchmark_1_dimension__v varchar(256) Defines the benchmark analysis dimension the population is being compared to in the Crossix benchmark.
benchmark_1_category__v varchar(256) The population category the benchmark is for
benchmark_1_quartile__v varchar(256) Compares the population's targeting multiple (Audience metrics) or % (Doctor Visitation metrics) to the benchmark of the given metric type, dimension and category.
benchmark_1_version__v varchar(15) The benchmark version. In the format <Year>-<Version #>
benchmark_2_dimension__v varchar(256) Defines the benchmark analysis dimension the population is being compared to in the Crossix benchmark.
benchmark_2_category__v varchar(256) The population category the benchmark is for
benchmark_2_quartile__v varchar(256) Compares the population's targeting multiple (Audience metrics) or % (Doctor Visitation metrics) to the benchmark of the given metric type, dimension and category.
benchmark_2_version__v varchar(15) The benchmark version. In the format <Year>-<Version #>
benchmark_3_dimension__v varchar(256) Defines the benchmark analysis dimension the population is being compared to in the Crossix benchmark.
benchmark_3_category__v varchar(256) The population category the benchmark is for
benchmark_3_quartile__v varchar(256) Compares the population's targeting multiple (Audience metrics) or % (Doctor Visitation metrics) to the benchmark of the given metric type, dimension and category.
benchmark_3_version__v varchar(15) The benchmark version. In the format <Year>-<Version #>
file_name__v varchar(200) Raw filename which loaded this record into Nitro