[B]RIGHT Brand Performance Group work with brands to create fast, easy to apply, measurable solutions and strategies using marketing research.
Conducting primary research, including stakeholder interviews, existing customer and category audience studies, and other customer-centric research, allows brands to gather insights into how to activate, acquire, grow, and retain more of their ideal customer profile.
Secondary research refers to the use of existing data, studies, and other sources of information that have been gathered and analyzed by others, in order to support decision-making and problem-solving in a business context.
Qualitative research is a type of research that aims to gather and analyze non-numerical data, such as opinions, attitudes, beliefs, and experiences of people.
Quantitative research is a type of research that involves collecting numerical data and using statistical methods to analyze it.
Branding research refers to the systematic gathering, analysis, and interpretation of information about a brand.
Customer research is the process of gathering information and insights about customers through various methods such as surveys, focus groups, and market analysis.
Competitor research is the process of gathering and analyzing information about competitors in a given market to gain insight into their strengths, weaknesses, and strategies.
Product research is the process of gathering information and data on a product or group of products to gain a better understanding of the target market and competition.
Brands need to use data to be effective, efficient, and able to take a sustainable and predictive approach to forecasting their customer data. Through the development of custom models using machine learning, AI, automation, and proven modeling approaches, [B]RIGHT is able to take the guesswork out of your sales and marketing strategies.
Data analysis include, organizing, exploring, curating, and synthesizing data into actionable reports, charts, and visualization with the focus of identifying efficiencies and growth opportunities through large data sets.
Developing statistical models with a goal of accurate prediction. We typically use machine learning techniques such as extreme gradient boosting, random forest, or penalized regression, which sacrifice a quantified impact of each variable in order to achieve greater predictive accuracy.
Taking information we know about a small population (e.g. attitudes or perceptions from a survey), we can develop distinct subgroups and use the information known about the full population to assign each member to its appropriate subgroup.
Using historical KPIs and other metadata to predict future performance.
Developing statistical models with a goal of explaining the impact of variables. When the point is to quantify the specific impact of each variable of an outcome, we are limited to certain types of regression analysis, but are able to explicitly understand the magnitude of the impact of each variable.
Supervised, and unsupervised, methods for dividing a population into homogeneous groups, typically when data is available on the full population.
[B]RIGHT Brand Performance Group drives digital performance and engagement by using proven tactics and strategies that prioritize channels based on opportunity and deliver relevant, resonant messages on the right channel, at the right time. And we prioritize measuring performance because it is essential for every brand. But how do you know which metrics are the most important? At [B]RIGHT Brand Performance Group, we’ve developed multiple reporting methods to help your brand’s marketing team unlock key insights into both tactical, short-term activations and long-term strategies so they can navigate with new clarity the path toward continued growth.
More than ever, brands need to be focused on ROI or return on ad spend (ROAS) when it comes to paid media. So when you’re ready to activate your brand, you need a partner that will perform and show honest metrics to back up that performance. At [B]RIGHT, we offer a suite of managed media services that can help you execute multichannel paid media campaigns at scale. Our focus is to activate, learn, optimize, and then measure performance so your brand can effectively qualify your channel-specific ROI or ROAS.
Our approach to website strategy begins and ends with people. We start by building a robust content strategy based on real consumer data, and then we build a user-friendly and SEO-focused architecture with responsive and mobile-first designs layered on top. [B]RIGHT can assist you with full-service development, or we can focus on any phase of the process, from architecture to core model sessions wire-framing, prototyping, UI design, copywriting and editing, migration, QA and testing, go-live and documentation, CMS training, and continued, consistent content creation.
At [B]RIGHT, we refer to lead gen as New Business Development because that’s how we approach it—using proven new media tactics to create lasting customers. If you’re a B2B brand looking for key accounts, we will help you create relevant impressions and new connections. If you’re a DTC brand looking for social commerce success, we will use dynamic retargeting strategies to not only increase your customer base, but also to increase your revenue, average order value, and customer lifetime value.
At [B]RIGHT, we define the measurable metric(s) and activate, manage, optimize, and adapt so that you have a custom experience and real-time reporting at your fingertips. We do this using real-time dashboards, weekly action plans, our path-to-acquisition methodology, and in-depth monthly learning plans that are all built to empower your brand to make accurate, proactive adjustments to changes in the landscape.
We’ve developed multiple ways for teams and marketers to gain insight and access to the metrics and performance benchmarks.