Start With One Agent.
Scale to a
Full System.
Every SxNE agent is purpose-built for a specific marketing data problem — and designed to operate standalone or as part of an integrated intelligence stack. You don't need to deploy everything at once. You need to deploy the right thing first.
Not sure where to start? Our discovery process identifies which agent will unlock the most value for your team in the shortest time.
Three Agents. One Integrated Data Foundation.
These are the agents SxNE has deployed most.
The ones we've refined through real enterprise engagements and know how to land fast.
Quality Manager
Your 24/7 Marketing Data Watchdog
Your CDP shouldn't be a data swamp. The Quality Manager lives at the center of your marketing stack watching, cleaning, and validating every record in real time so every decision your team makes is based on reality, not glitches.
Validates and standardizes incoming data across all channels eliminating "USA" vs "US" vs "United States" before it corrupts your segments
Detects anomalies intelligently distinguishing a viral campaign spike from a bot attack before you spend budget on bad leads
Ingests and cleans legacy and 3rd-party data, surfacing inconsistencies that would take a human analyst months to find
Generates plain-English executive summaries on data health, channel quality, and trends so Monday mornings stop being BI audits
Data Modeler
Predictive Intelligence for Marketing Outcomes
Clean data is only the beginning. The Data Modeler takes your standardized marketing data and builds predictive models that tell you what's likely to happen so your team stops reacting and starts anticipating.
Builds and maintains predictive models for churn risk, conversion probability, LTV, and campaign response rates
Architects the data schemas and source relationships your marketing stack needs to produce reliable, repeatable outputs
Maps connections between disparate data sources surfacing the signal patterns that manual analysis always misses
Continuously refines models as new data flows in, keeping your forecasts accurate as market conditions shift
Data Scientist
From Raw Signal to Actionable Intelligence
The Data Scientist agent executes your ML models against live marketing data surfacing the patterns, correlations, and signals that drive the decisions your team actually needs to make. Not dashboards. Answers.
Runs ML model execution at scale applying trained models to live data streams to generate real-time intelligence
Surfaces pattern analysis across customer behavior, campaign performance, and channel data to identify what's actually driving results
Prioritizes signals by business impact so your team focuses on the insights that move revenue, not noise
Delivers structured insight outputs that feed directly into downstream agents and marketing decisions
Deploy One Agent Today. Build the Full Stack When You're Ready.
Every SxNE core agent is designed to deliver standalone value from day one and to integrate seamlessly when you're ready to expand. You don't need to boil the ocean to get started.
Start Focused
Identify your highest-impact data problem and deploy a single agent. See measurable results in weeks, not quarters.
Layer Intelligence
As each agent produces clean outputs, the next one has better inputs. The stack compounds — quality feeds modeling, modeling feeds science.
Extend to Supplemental Agents
Once your core data foundation is solid, supplemental agents — segmentation, optimization, attribution — operate at full power.
Extend Your Intelligence Layer.
Built to run on top of a solid data foundation, these agents unlock the next tier of marketing performance turning clean, modeled data into campaign decisions, audience precision, and revenue attribution.
Audience Segmentation
ML Cohort Modeling Unbiased by Design
Most segmentation tools start with assumptions — you define the bucket, then fill it. Our Audience Segmentation agent flips the model. It uses ML cohort analysis to discover which customers are actually similar to each other based on real behavioral patterns — not the categories someone decided to create three years ago.
Uncovers natural customer cohorts using ML — no predefined segment bias baked in
Surfaces behavioral, demographic, and firmographic signals that human analysts miss
Feeds precise, data-validated audiences directly into campaign and optimization workflows
Campaign Optimizer
Right Message. Right Segment. Right Time.
Generic campaign sequencing wastes budget. The Campaign Optimizer takes your validated audience segments and determines the precise campaign type, message sequence, channel mix, and timing for each one — so every touchpoint is deliberate, not defaulted.
Maps campaign type, sequence, and timing to specific audience segments — not one-size-fits-all
Continuously refines sequencing logic based on engagement signals and conversion data
Eliminates guesswork from campaign architecture — decisions are model-driven, not gut-driven
Attribution Analyst
Know What's Actually Driving Revenue
Last-click attribution is a lie your team has been told long enough. The Attribution Analyst maps the full customer acquisition path — showing you where customers are actually coming from, how they compare to your best existing customers, and which campaigns and programs are genuinely driving action.
Full acquisition path analysis — from first touch to conversion, mapped across all channels
Correlates new customer profiles against existing high-value customer patterns to score acquisition quality
Surfaces which campaigns and programs are driving meaningful action vs. vanity metrics
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