Cultural Insights Impact Measure (CIIM), is a leading metric that validates the impact and effectiveness of cultural insights in ads and programming, making a direct correlation between cultural relevancy and business performance -ad effectiveness and purchase intent.
Determine the extent to which culture in ads and programming may lift brand growth.
According to ANA-AIMM's 2018 Multicultural & Total Market Benchmark survey, while about 70% of marketers advertise to an MC&I segment, only 1 in 8 (16%) embeded cultural nuances in their communications approaches -clearly indicating the value of culture in advertising remains unknown. On the other hand, according to a global IPSOS study, 63% of people don't see themselves reflected in ads and 60% don’t see their community of friends, family and acquaintances represented accurately. Having companies understand how well their ads are resonating with segments via the impact of culture will give them the ability to maximize connections and impact growth.
Acknowledgement and inclusion; respect of cultures; cultural values; cultural pride; authentic portrayals; positive role models; and celebration of culture among others.
CIIM™ is 100% media agnostic. Marketers may test video, social media, audio, print, OOH. Advertisers are pre-testing semi-final ads (animatics to rough-cuts) as well as final campaigns to be aired or in the air.
Many brands are testing the cultural relevancy of their General Market campaigns, contrasting the relevancy of creative with diverse casting without MC cultural nuances against targeted, more ganuine and culturally-rich depictions of MC&I segments to understand how to optimize relevance and purchase intent in the future. Other brands are testing all their MC&I segmented efforts.
An ad is a single ad unit of exposure (stimuli) for a brand. A campaign with several separate ads would be not be considered a single unit. The exception would be a Social Media posting that leads to a video and an engagement screen where several of these could be animated to complete a single exposure in :30 seconds or less. Keep in mind that the consumer needs to evaluate ad effectiveness and cultural attributes, thus, a full campaign with several ads would not lead to a precise single score.
Every ad is 'forced' exposed to 200-260 participants (depending on language and type of creative) who pass a specific screener. Every ad is tested against a primary target sample of 100 and a control group of 100-160 (except in-language efforts) so that for every ad, CIIM scores can be generated for WNH, African American, Hispanic, and Total Market. The ad measures standard industry questionn on ad effectiveness and a proprietary cultural relevance algorithm. Ads are not show in context of shows as this may biased the perception of the evaluation of the ad.
African American, Asian English, Asian Native Languages, Hispanic English, Hispanic Bilingual, Hispanic Spanish, General Pop, LGBTQ, People with Disabilities, Non-Hispanic White
All industries are represented, including but not limited to: Food, Beverage, CPG, Alcoholic Beverage, Automotive, Banking, Financial Services, Auto/Home Insurance Health Insurance, Causes, Retail, Restaurants. Telecom/Connectivity.
Yes, the testing algorithm is proprietary.
Please request submission form by clicking here. You may submit your completed forms with the downloadable digital links to Sofia@santiagosolutionsgroup.com
CIIM is open for testing on a rolling basis. ads are tested in groups of 5 or more and there could be a wait for smaller segments.
Please submit digital links of videos that can be downloadable per the submission form.
The turnaround is typically 2-3 weeks and could be a little more for specialized segments. Every ad in English will receive a CIIM score for WNH, Hispanic English, African American and Total Market.
Yes, non- AIMM members can submit ads for testing. Prices will be 40% higher than published rates for members.
There isn’t a qualitative component in the standard CIIM testing as respondents evaluate ad units. If a qualitative component is desired, it can be programmed at an extra fee and fielded and we can pass the open-ends to the advertiser for further analysis or we can also price out a contextual analysis.
CIIM can help increase quality of context connection with Multicultural and Inclusive audiences by developing characters and storylines that authentically reflect MC and diverse audiences.
- Individual CIIM scores will only be shared and disclosed to entity who submitted ad.
- Aggregated results in the form of norms will be shared with AIMM and marketing trade in study findings, webinars, meetings, conferences.
- Best In Class ads will be invited to disclose their ads and results and only shared publicly with a written agreement.
- Any Sector/category/sub-group results will be shared in aggregate when 5+ ads are in a group so as to protect proprietary nature of scores/results.
- All names and logos of companies/brands submitting ads will be disclosed in AIMM material and presentations.
CIIM can be leveraged to drive improvements in cultural relevance and ad effectives KPIs. Creative executions can be tested at any stage in the process, allowing brands to make changes if/when necessary before going to market
CIIM can be used to set brand performance standards across all creative and media in order to track progress over time.
CIIM content scores can be incorporated in plannig to balance reach and frequency with quality cultural connection. Through CIIM tested spots and CIIM tested scores, planners can place the right ad in the right program in order to maximize purchase intent and even ROI
CIIM is U.S. based ads only for now altough the algorithm is applicable on a global scale so we expect to invite international creative to test their spots soon
- Individual CIIM scores will only be shared and disclosed to the entity who submitted the ad unit.
- Aggregated results will be shared with AIMM, CIIM users and marketing trade in study findings, webinars, meetings, conferences.
- Any industry sector/category/sub-group results/norms will be shared in aggregate when 5+ ads are in a group so as to protect proprietary nature of brands.
- Brand names in study charts will be masked at all times unless brands have given written prior approval.
- Any public list of brands CIIM tested for educational/promotional purposes will only reflect brands that have given written permission to use their logos in our material.
- Best-In-Culture ads/case studies may be invited to disclose their ads and/or quartiles/or scores but only will be shared after written permission is given.
A direct non-cultural GM comparison is recommended but not essential for each submission. Advertisers will get their score versus aggregated norms from other submissions.
Media viewing language behavior, not language preference at home, drives the language composition of the spot exposed to the corresponding evaluation sample. In other words, for Hispanics, we expose ads (English or Spanish) according to the TV & video viewing language habit of the respondent specifically as follows:
Some portions of HSMV (Spanish Mostly viewers and Equally Spanish & English viewers) will see English ads, however, a Spanish Only media viewer will not see an English ad.
Similarly, some HEMV (English Mostly and Equally Spanish & English) will see Spanish ads, however, an English Only media viewer will not see anEnglish ad.
Hispanic Bilingual Media Viewers is uncommon as a primary target because ads are mostly in one of the two languages with a tagline/call-to-action in the other. Having said that, all spots, whether in English and Spanish, will have HB viewer scores in the Dashboards.
The resulting samples are minimally weighed according to the precise proportions.
“HE” is “Hispanic English,” “HS” is “Hispanic Spanish,” “AA” is “African American,” “TMW” is “Total Market Weighted,” and “WNH” is “White NonHispanic.
The Total Market Weighted and White Non Hispanic scores might be similar at times because it weighs White Non-Hispanic, Hispanics, AfricanAmericans, Asians and Other to the corresponding proportion in the US adult population at large.
CIIM scores range from 0-200 where 0 marks negative cultural reflections/offensiveness, 100 marks the point of neutrality/indifference, and 200marks the utmost cultural relevancy/accuracy. Having said that, we relate CIIM scores to marketers in terms of quartiles because each quartile has a purchase multiplier effect.
The ranges for each quartile are specific to each segment because perceptions, evaluations, and the distributions are unique to every segment. Having said that, the floor of the second quartile marks the segment midpoint for every segment as follows:
While these are just the current midpoints of CIIM scores by segment, they correlate with a purchase intent that is about 2x that of scores in the bottom quartile. Brands are setting performance goals based on where their base line is. Some are just moving from diverse ads to embedding cultural insights and setting a second quartile goal while others that may have been more familiar with insights for another segment are setting 1st quartile goals.
Disability is tested as a homogenous group in the standard CIIM™ questionnaire, however we are able to customize the screener or include a specific screener in testing. Pricing will depend on LOI, programming, flow logic, resulting incidence, sampling changes, and specialized analysis and reporting.
The “Ad v Industry index” compares your ad’s overall Total Market ratings against the overall Total market ratings of all ads in your same industry sector, regardless of primary target. Whereas, “Ad v Target Segment Index” only indexes your overall sample that had the same stated primary target segment (i.e. African American, Hispanic Spanish Media Viewer, Hispanic English Media Viewer, Asian English, GM, etc.).
CIIM™ does not specifically measure “how well an ad is branded” but there is a measure for “Brand Opinion” in the ad effectiveness measures. “Brand Opinion” covers the respondent’s opinion of the brand in regards to the ad they were exposed to. Furthermore, ad effectiveness measures provide us with an ad rating for “Brand Opinion” and other ad effectiveness measures such as Likeability, Word of Mouth, Likeliness to Recommend, Gather More Information, 1st Time Purchase Intent, Repurchase Intent (Loyalty), and Total Purchase Intent.