Twelve frameworks. One north star.

One of the more obvious promises of Artificial Intelligence is efficiency — it can automate and streamline many rote tasks, freeing up your personnel to put their time against higher-value work. n-actments is our AI-fueled framework for identifying and addressing marketing processes that are the best candidates for automation in areas including data ingestion and hygiene, analytic prep, lead and campaign management, and more.

n-formation provides you with a strategic blueprint for utilizing analytics to power your marketing decision making. In every organization, there are multiple constituencies with competing analytics needs and limited resources. Our collaborative process considers the impact on business outcomes and the effort required for each need, delivering a well-developed plan including budget, timing, and resourcing implications — from current state assessment through end-state visioning, gap analysis, and prioritization.

"Data connectivity" describes the ability to connect, access, and use data across different connected platforms — both internal and external — enabling you to deliver personalized and relevant experiences to your customers, and to track, measure and report on the effectiveness of your marketing efforts. n-tegration is our marketing data connectivity review, in which we evaluate how well your data sources and marketing tools are integrated and aligned with your business goals.

Our "Actions → Outputs → Outcomes" measurement philosophy eliminates cluttered dashboards and vanity metrics, ensuring you report the right measures at the right level of the organization. Key tenets include alignment against marketing objectives, minimizing "nice to know" metrics, providing context for raw numbers, and delivering only measures relevant to each management role — with the ability to dive deeper as desired.

n-tuition goes beyond extrapolation and static projections, leveraging predictive analytics and machine learning in time series and causal analytics to deliver hyper-accurate forecasts grounded in real-time data. Our models adapt and learn continuously, reducing human bias and uncovering hidden relationships — dynamically adjusting forecasts to reflect changing market conditions, customer behavior, and emerging trends.

n-sights goes beyond surface-level observations, delving into the motivations and emotions that drive consumer decisions and aligning research findings with zero-party and first-party data. These insights are pivotal in shaping targeted strategies that resonate authentically with your audience. Our approach is rooted in understanding the pulse of your market and anticipating consumer needs.

The n-creases framework is designed to propel customer-focused revenue streams to new heights. We leverage machine learning to drive macro strategies — finding more high-value customers, creating longitudinal strategies to increase long-term cohort value, and developing campaign guidelines that optimize short-term results. At a micro level, we use ML to predict individual customer lifetime value (CLTV) with unmatched accuracy, empowering one-to-one strategies that build lasting relationships.

n-gagement combines situational context assessment with the power of AI and machine learning to fuel engagement strategies including loyalty program design, promotional strategies, and longitudinal customer planning. Our team members have developed a cohesive philosophy honed through years of designing award-winning consumer-facing programs — going far beyond plug-and-play solutions, incorporating why and how consumers respond to your brand with data-driven insights to unlock true loyalty program value.

n-telligence is our platform for modernizing common analytics approaches using AI. We deploy ML algorithms to enhance traditional RFM analysis, incorporating dimensions like consistency that increase precision and actionability. For Marketing Mix Modeling (MMM), our updated approach combines cutting-edge machine learning with automated data prep and deep media planning expertise — rapidly delivering a tool to optimize levels and mix of media spending aligned to ever-changing objectives and conditions.

n-dividualization is our progressive framework for creating unique and impactful customer experiences across touchpoints — planning communications at an individual level and incorporating appropriate levels of personalization, both overtly and implicitly, in each interaction. We leverage advanced analytic techniques and machine learning to help you better understand your customers on a deeper level, personalize interactions, and foster lasting relationships.

n-rollment addresses lead management (acquisition) and subscriber management (development and retention) through a structured approach that combines a proven strategic framework with AI-driven analytics. We develop a tailored approach to prioritize prospects and optimize conversion pathways for maximum efficiency and ROI — leveraging machine learning to understand subscriber behaviors, preferences, and lifecycle stages to enhance customer satisfaction, loyalty, and long-term value.

n-ference utilizes AI to automate as much foundational work as possible, allowing our analysts to deploy their expertise in the form the actual analysis will take. In developing predictive models, we incorporate intrinsic knowledge about each client's business and customers' behaviors, leveraging cutting-edge machine learning and advanced statistical techniques. Our innovative approach to segmentation takes a multifaceted view — combining survey data, demographics, behavioral data, digital footprints, and sentiment analysis to create a holistic understanding of your customers.