Turnkey solutions
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The framework
We utilize a series of solution frameworks — what we call nventiv Schemas™ — to guide focused engagements toward a specific outcome. As with an architect's plans, Schemas are structured approaches refined through iterative improvement to reduce implementation time and optimize results. They serve as the starting point for a turnkey engagement, not a constraint on where the work goes.
Looking for the bigger picture instead of a named framework? See how we structure engagements around data foundations, measurement, and growth strategy →
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Answer three questions about your challenge and get a personalized recommendation from our twelve frameworks.
n-actments is our AI-fueled framework for identifying and automating rote marketing processes — data ingestion and hygiene, analytic prep, lead and campaign management, and more.
Freeing your team from repetitive work means more time against the higher-value decisions only humans can make.
n-formation delivers a strategic blueprint for using analytics to drive marketing decisions — from current state assessment through gap analysis and prioritization.
Our collaborative process weighs business impact against implementation effort, producing a plan with clear budget, timing, and resourcing implications.
n-tegration is our marketing data connectivity review — evaluating how well your data sources and tools are integrated and aligned with business goals.
Gaps in connectivity limit personalization, measurement, and reporting; we surface them and map a path to fix them.
Our "Actions → Outputs → Outcomes" philosophy eliminates cluttered dashboards and vanity metrics, ensuring the right measures reach the right level of the organization.
n-dicators aligns reporting to marketing objectives, strips out the "nice to know," and gives each management role only what they need — with the ability to drill deeper on demand.
n-tuition goes beyond extrapolation and static projections, using predictive analytics and ML in time series and causal models to deliver hyper-accurate demand and revenue forecasts.
Models adapt continuously — reducing human bias, uncovering hidden relationships, and adjusting as market conditions shift.
n-sights goes beyond surface-level observations, uncovering the motivations and emotions driving consumer decisions and aligning research findings with zero- and first-party data.
The result is targeted strategy grounded in a genuine understanding of your market — not just what customers do, but why.
n-creases uses machine learning to drive revenue growth at both macro and micro levels — finding more high-value customers, building longitudinal cohort strategies, and predicting individual CLTV with high accuracy.
The output is a set of campaign guidelines and one-to-one strategies designed to grow lasting customer value.
n-gagement combines situational context assessment with AI and ML to fuel loyalty program design, promotional strategies, and longitudinal customer planning.
Our team's award-winning program experience goes far beyond plug-and-play — we incorporate why and how consumers respond to your brand to unlock true loyalty value.
n-telligence modernizes common analytics approaches with AI — enhancing traditional RFM with ML dimensions like consistency for greater precision, and supercharging Marketing Mix Modeling with automated data prep and deep media planning expertise.
The result is a dynamic optimization tool that adapts to shifting objectives and market conditions.
n-dividualization is our progressive framework for planning communications at an individual level — incorporating personalization both overtly and implicitly across every touchpoint.
Advanced analytics and ML help you understand customers more deeply and build the kind of interactions that create lasting relationships.
n-rollment addresses both lead management (acquisition) and subscriber management (development and retention) through a structured, AI-driven framework.
We prioritize prospects, optimize conversion pathways, and use ML to understand subscriber behaviors and lifecycle stages — maximizing ROI at every stage of the customer journey.
n-ference uses AI to automate foundational work so our analysts can focus on the actual analysis — building predictive models that incorporate intrinsic business knowledge alongside cutting-edge ML and statistical techniques.
Our segmentation approach combines behavioral data, demographics, digital footprints, and sentiment analysis for a truly holistic customer view.
Let's talk through it. Most engagements start with a 30-minute discovery call.