Our Services

In helping a brand build long-term market share, Decision Analyst uses a variety of research techniques, experimental designs, analytic methods, and consulting processes. A typical consulting engagement would likely include some of the following components:

• Alignment meetings with key brand stakeholders (before the start of any work) to cover brand history, brand facts, brand aspirations, and brand vision. A SWOT analysis (Strengths, Weaknesses, Opportunities, Threats) would be a part of this upfront preparation.
• Review of all brand-relevant research data in the client’s possession. (previous qualitative research, ATUs, segmentation studies, package design tests, advertising tests, syndicated data, etc.).
• Secondary research on a brand’s history, advertising, and marketing trends, compared to the same types of data for major competitive brands, including private label brands.
• Depth interviews among brand loyalists, heavy users, medium users, light users, and competitive brand users in order to build category and brand knowledge and to begin to develop hypotheses about brand growth opportunities. Non-users of the product category would also be interviewed to explore market expansion possibilities. The results would be used to develop branding strategy hypotheses and possibilities.
• A Brand Architecture Survey to precisely measure the existing brand images and brand equities for the subject brand and major competitive brands. Such a study should be repeated every three- to five-years to provide a foundation for strategy development and evolution.
• Strategy Concept Testing among a broadly defined target audience for the brand, with readable samples of important market segments, to identify winning brand strategies.
• A Market Structure Study to profile the overall market, channels of distribution, market shares, product usage, demographic patterns, etc. A study of this type is typically repeated on a three- to five-year cycle to provide a basis for marketing, distribution, and new product planning.
• Consulting to assist with the optimization and implementation of brand growth strategies.
• Brand tracking to monitor the brand’s progress toward the achievement of its marketing and growth goals.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. In mi nunc, facilisis sed erat sed, interdum suscipit nisl. Donec ut ligula sed dolor accumsan placerat. Ut sed felis vitae augue condimentum viverra. Praesent condimentum magna sit amet dui interdum sodales. Ut tincidunt ipsum leo, nec hendrerit odio fermentum at. Cras sit amet nibh lacus. Ut a risus id libero pellentesque consectetur. Vestibulum ornare pulvinar laoreet. Cras non scelerisque tortor, et rutrum sapien.

Sed at lacus vitae augue egestas pulvinar ultricies nec nisi. In aliquet velit sed eros facilisis, in tempus eros imperdiet. Aenean mollis urna aliquet orci placerat porttitor. Aenean tincidunt urna sed faucibus sodales. Donec sit amet eros eros. Duis volutpat arcu at efficitur molestie. Pellentesque gravida dolor risus, a sollicitudin arcu euismod sit amet.

Curabitur dapibus at felis quis interdum. Etiam at elementum ligula. Aliquam efficitur ante eget viverra molestie. Donec rutrum tellus a ex accumsan varius. Etiam aliquam libero et finibus finibus. Cras vel nunc eget metus fringilla consectetur. Aenean sed lacinia turpis. Nullam porttitor lobortis mauris at blandit. Quisque aliquam diam felis, at fermentum metus dignissim in. Mauris sagittis dolor sed venenatis scelerisque.

Audience analytics helps organizations to reach the right audience, to focus on how brands are using viewer targeting in media or digital advertising. Achieving marketing accuracy starts with gathering data about users, which can be done with what is called audience analytics. Audience analytics contribute insight into the characteristics of consumers, groups, users, and responders who were shown to or engaged with a marketer’s advertisement messages. This includes ideas such as demographics, social media activity, device usage, use of media sources, third-party data sources and adverAudience analytics are more often used by content companies to know what types of video to serve up in the future, based on what consumers watch, when, and for how long. Audience Analytics tools can help anticipate demand for certain kinds of content around the world.

One way of the best ways for media companies to assure they are in the right direction is to understand better the different segments included, as well as the unique choices of each audience demographic. The accessibility to audience analytics makes it possible for media organizations to better match the programming and delivery with consumers’ entertainment choices.

Media companies can use different sources to support their audience analytics and to learn more about the types of content viewers are seeking out and the way they consume it. These include:

• Demographics information — customers’ age, gender, income level, occupation, ethnicity, marital status and more.
• Social media activity — your strategy must match your objectives, curate or create content that educates and entertains, consistency.
• Device usage — related to the specific platform or endpoint used to view and consume media.
• Use of media sources — is including magazines, newspaper, television shows, online activity, and other media channels.
• Third-party data sources — which can encompass personal interviews, surveys, and studies that help show the habits, opinions, and tastes of viewers.
• Advertising data — are such as the types of campaigns used, locations and other details.

This includes ideas such as demographics, social media activity, device usage, use of media sources, third-party data sources and adverAudience analytics are more often used by content companies to know what types of video to serve up in the future, based on what consumers watch, when, and for how long. Audience Analytics tools can help anticipate demand for certain kinds of content around the world.

One way of the best ways for media companies to assure they are in the right direction is to understand better the different segments included, as well as the unique choices of each audience demographic. The accessibility to audience analytics makes it possible for media organizations to better match the programming and delivery with consumers’ entertainment choices.

Media companies can use different sources to support their audience analytics and to learn more about the types of content viewers are seeking out and the way they consume it. These include:

• Demographics information — customers’ age, gender, income level, occupation, ethnicity, marital status and more.
• Social media activity — your strategy must match your objectives, curate or create content that educates and entertains, consistency.
• Device usage — related to the specific platform or endpoint used to view and consume media.
• Use of media sources — is including magazines, newspaper, television shows, online activity, and other media channels.
• Third-party data sources — which can encompass personal interviews, surveys, and studies that help show the habits, opinions, and tastes of viewers.
• Advertising data — are such as the types of campaigns used, locations and other details.