# data[].attributes.body
To gauge effect of brand activities to BHI
To determine white spaces and opportunities for expansion

# data[].attributes.headline
To gauge consumer affinity and brand love

# data[].attributes.subject
To gauge consumer affinity and brand love

# data[].attributes.body
1) Tracking brand awareness, trial, and eatership to determine the brand health vs. competitor - if it is below our target number, we would craft programs to improve these KPIs.
2) To see who is eating our product (age/SEC) and where (area) - to see if we need to grow our presence and trial in specific areas, and to know the profile of the market eating our product so we know how to communicate with them.
3) To track the attributes associated with the product - to see if consumers are accepting/absorbing the communications we do about the brand image and product benefits.
4) If there is an AUT special report: to statistically benchmark brand's performance versus direct competitor by checking their attribute rating, awareness/trial ratings, etc. side-by-side.

# data[].attributes.body
To gauge effect of brand activities to BHI
Determine white spaces and opportunities for brand to grow

# data[].attributes.headline
To seek measurable sources of growth for the brands (opportunities to grow) and develop communication strategies around it

# data[].attributes.subject
To seek measurable sources of growth for the brands (opportunities to grow) and develop communication strategies around it

# data[].attributes.body
to assess BHI of brands -- where we are now and what areas we should improve on. through this, we can devise the appropriate strategies/plans.
*to measure the same vs target competitors

to assess impact of implemented consumer programs - effectiveness/areas for improvement

# data[].attributes.body
We use it as a support for building story for the brand and serves as jump off point for future direction.

# data[].attributes.body
To track brand health metrics.
Pin point specific areas, segment (age and SEC) with issues or opportunities

Using this, we can also determine action plans needed for the brand (e.g. awareness drive, trial, or conversion)

# data[].attributes.body
To see if there's any opportunity that Rebisco can tap into - especially if there no players yet in that segment/subsegment

# data[].attributes.headline
1. To determine areas where brand is lacking (is it an awareness issue, is it a trial issue)                                           2. To see if activities had an impact on brand health (assuming airing coincides with AUT Run)                          3. To see our awareness and usage scores and correlate this with market share--whether the numbers make sense or not                                               4. To check if we are able to successfully talk to out target market based on plans or if we are tapping another set of consumers all together                                           

# data[].attributes.subject
1. To determine areas where brand is lacking (is it an awareness issue, is it a trial issue)                                           2. To see if activities had an impact on brand health (assuming airing coincides with AUT Run)                          3. To see our awareness and usage scores and correlate this with market share--whether the numbers make sense or not                                               4. To check if we are able to successfully talk to out target market based on plans or if we are tapping another set of consumers all together                                           

# data[].attributes.body
To compare and contrast our brands and its competitors based consumer demographic profile, awareness and usage levels

# data[].attributes.headline
To gauge what's actually happening in the market/brand, and address the issues

# data[].attributes.subject
To gauge what's actually happening in the market/brand, and address the issues

# data[].attributes.body
Monitor brand health and awareness of brands. This also assists whether consumers are still consuming the subsegment/products. Moreover, it gives an idea who consumes our products and competitor products.

Given the latest AUT report, it allowed us to know when people are consuming certain brands or subsegment.

# data[].attributes.body
Check consumption growth for our brands and check preference in brands for our segments.

# data[].attributes.body
To better understand the category & brands' current consumers and if the strategies we are implementing are still aligned with how consumers consume our brand/s

# data[].attributes.body
to check if competition is "creeping in" in the minds of our consumers

# data[].attributes.body
To identify who the consumers of our brands are, how they view our brands, and possible opportunities based on the demographics especially for NPDs.

# data[].attributes.body
To be targeted and deliberate in pinpointing consumer segments; to see the effect of our efforts relative to brand health

# data[].attributes.headline
Review imagery data to check if our communication materials resonate to consumers overtime

# data[].attributes.subject
Review imagery data to check if our communication materials resonate to consumers overtime

# data[].attributes.headline
Increase in P4W consumption helps me see if the advertising and/or in-store promo that I ran for that period was effective

# data[].attributes.subject
Increase in P4W consumption helps me see if the advertising and/or in-store promo that I ran for that period was effective

# data[].attributes.headline
Monitor brand health like awareness:  help in deciding if we need to increase media weights.

# data[].attributes.subject
Monitor brand health like awareness:  help in deciding if we need to increase media weights.

# data[].attributes.headline
to see whether a campaign worked in getting the right target market to know, try, and be loyal to the brand

# data[].attributes.subject
to see whether a campaign worked in getting the right target market to know, try, and be loyal to the brand

# data[].attributes.body
to validate/ support quant study/ market share performance of the brands and be able to tell a complete story of what's happening in the market

# data[].attributes.body
to track brand health :)

# data[].attributes.headline
To gauge consumer affinity towards my brand relative to my competitor; and gain relevant insights to help us formulate actions and activities -> ex. area specific activations, placement in higher-end SMKTs, etc.

# data[].attributes.subject
To gauge consumer affinity towards my brand relative to my competitor; and gain relevant insights to help us formulate actions and activities -> ex. area specific activations, placement in higher-end SMKTs, etc.

# data[].attributes.headline
To develop the right marketing mix that can effectively target our intended users

# data[].attributes.subject
To develop the right marketing mix that can effectively target our intended users

# data[].attributes.headline
piece the story together behind with what's happening with our business performance

# data[].attributes.subject
piece the story together behind with what's happening with our business performance

# data[].attributes.headline
monitor brand health and validate if we are targeting the right target market 

# data[].attributes.subject
monitor brand health and validate if we are targeting the right target market 

# data[].attributes.headline
To check where we are lacking (Awareness or usage...) and make appropriate decisions to address that problem. 

# data[].attributes.subject
To check where we are lacking (Awareness or usage...) and make appropriate decisions to address that problem. 

# data[].attributes.headline
To monitor per SEC reading of the brands/competitors for awareness, BUMO, p4wks, etc

# data[].attributes.subject
To monitor per SEC reading of the brands/competitors for awareness, BUMO, p4wks, etc

# data[].attributes.body
We use it to identify the correct target market for our new products based on existing brands. Also used to monitor brand performance as basis for activities moving forward.

# data[].attributes.headline
To track the expansion of the business to new market segments. See if we are retaining our core market and growing their consumption.

# data[].attributes.subject
To track the expansion of the business to new market segments. See if we are retaining our core market and growing their consumption.