Your GTM model, encoded into the data layer
RevSure resolves identity, structures the GTM graph, aggregates every signal, and encodes how your team operates in the data. Writebacks, API, and MCP give dashboards, workflows, and agents the same current context.
Context Layer as a Service is RevSure's managed GTM data and semantic layer. It resolves identity across every GTM system, structures the full account, contact, and opportunity graph, aggregates every signal, and encodes your GTM operating model directly into the data. It replaces a CDP plus a separate semantic or BI layer, then exposes identical, always-current context through real-time writebacks, an API, and an MCP server.
A CDP unifies data. RevSure encodes how GTM works
RevSure handles the data-layer work a GTM team needs, then adds the missing semantic layer. Your operating model lives with the records and relationships it defines, so meaning does not drift between tools.
| Capability | Traditional CDPs | RevSure Context Layer |
|---|---|---|
| Identity and data | Unifies customer profiles and events for segmentation and activation. | Resolves identity across every GTM system and keeps one account, contact, and opportunity graph. |
| GTM semantics | Definitions usually live in a separate BI layer, documentation, or custom logic. | ICPs, personas, stages, metrics, taxonomy, and playbooks are encoded directly into the data layer. |
| Relationships | Profiles and events are available, but GTM relationships often require separate modeling. | Accounts, contacts, buying groups, opportunities, campaigns, and signals are connected by design. |
| Signals | Behavior is collected, but its GTM meaning is interpreted downstream. | Every signal is resolved to the right entity and interpreted against the encoded GTM model. |
| Activation and access | Data is pushed to destinations for each team to interpret and use. | Writebacks, orchestration, API, and MCP expose the same governed context everywhere. |
| Consistency | Dashboards, workflows, and agents can apply different definitions to the same data. | Every consumer reads the same data, relationships, signals, and GTM definitions. |
Your GTM model is part of the data, not bolted on top
Fifteen parts of how your team runs go-to-market are structured once inside the layer. Dashboards, workflows, and agents can use your definitions without rebuilding or reinterpreting them.
Resolve. Structure. Aggregate. Encode
The Context Layer combines the four jobs required to make GTM data useful. It resolves identity, structures the graph, aggregates signals, and encodes the GTM operating model into the same data layer.
Resolve identity
Turn every CRM, MAP, product, ad, and conversation record into one person and one account.
Structure the graph
Connect accounts, contacts, opportunities, campaigns, buying groups, and activities.
Aggregate signals
Place CRM, intent, product, engagement, and conversation signals on the right entity timeline.
Encode the GTM model
Make stages, personas, ICPs, metrics, taxonomy, and playbooks part of the data itself.
Clean, complete data before semantics are applied
Native integrations bring GTM data into the layer. Harmonization maps fields and lifecycle values to one schema. Continuous hygiene and enrichment keep every record usable, so the semantic model is applied to current data instead of another stale export.
Data integrations
Connect CRM, MAP, paid channels, product analytics, conversations, and warehouse data.
Data harmonization
Normalize source fields, stage labels, and taxonomies into one governed schema.
Hygiene and maintenance
Continuously deduplicate records, detect staleness, and enforce ownership rules.
Data enrichment
Complete accounts and contacts with firmographic, technographic, intent, and engagement context.
Every relationship and signal in GTM context
The full-funnel graph connects the people, accounts, opportunities, and campaigns behind every signal. Predictions, intent, engagement, conversations, and cookieless first-party activity are resolved to that graph, then interpreted using your encoded GTM model.
Identity resolution
Resolve anonymous and known activity to one person and account with confidence.
Full-funnel graph
Query the path from first touch to opportunity and closed revenue without reconstructing joins.
Predictions & signals
Attach propensity, job changes, sentiment, risk, and intent to the entity they describe.
Cookieless tracking
Keep first-party account and contact context current as third-party cookies disappear.
The same encoded context, everywhere it is used
The layer is operational, not a destination where data waits. Real-time writebacks and orchestration move context into live GTM systems. The API and MCP server expose the same governed data and GTM definitions to dashboards, workflows, applications, and agents.
Writebacks
Push enriched fields, scores, stages, and decisions into CRM, MAP, and ad platforms.
Real-time orchestration
Trigger the right governed action when a record, stage, score, or signal changes.
API access
Build dashboards, applications, and automations on the same graph and semantic model.
MCP server
Give any approved agent structured access to the same always-current GTM context.
One GTM model. No team keeps its own version
Marketing, sales, SDR/BDR, RevOps, and customer success use the same resolved graph and encoded definitions. The interface can be a dashboard, workflow, writeback, API, or agent. The underlying context stays the same.
Marketing
Attribution, campaign performance, audience activation, and spend decisions.
Sales
Account research, deal signals, buying-group coverage, and next-best action.
SDR / BDR
Lead prioritization, signal-based outreach, drafting, and hot-lead routing.
RevOps
Pipeline hygiene, forecasting, data quality, and metric governance.
Customer Success
Expansion signals, renewal risk, stakeholder changes, and account health.
Related capabilities
Questions, answered
How is Context Layer as a Service different from a CDP?
A CDP collects and unifies customer data for profiles, segments, and activation. RevSure also resolves and unifies GTM data, but it goes further by encoding the GTM operating model directly into that data layer. ICPs, personas, funnel stages, playbooks, metrics, and taxonomy become part of the data every dashboard, workflow, and agent uses.
Does RevSure replace a separate semantic or BI metrics layer?
Yes. Semantic definitions such as pipeline, qualified account, lifecycle stage, and ICP tier are encoded inside the Context Layer. Dashboards, workflows, APIs, and agents use those same definitions, so there is no second semantic layer to maintain or reconcile.
Does the Context Layer replace our CRM?
No. Your CRM, MAP, ad platforms, product analytics, and conversation tools remain systems of record. RevSure resolves and structures the data from those systems, adds the GTM operating model, and writes enriched fields, scores, and decisions back to the tools your teams already use.
How do dashboards, workflows, and agents access the Context Layer?
Through governed real-time writebacks, APIs, and one MCP server. Each consumer gets the same resolved entities, relationships, signals, and GTM definitions without rebuilding the model or retrieval logic for every use case.
How is this different from a generic context layer?
A generic context layer gives you infrastructure for storage and retrieval, but your team still has to model accounts, opportunities, stages, personas, metrics, and playbooks. RevSure includes the GTM data model and encodes your operating definitions into it, so the context is ready for GTM use from day one.
What is real-time orchestration inside the Context Layer?
It is the event layer that responds when the graph changes. A new signal, stage move, score, or job change can trigger the next governed action across connected systems using the same encoded GTM definitions.
Your GTM model, encoded in the data
See how RevSure can replace a CDP plus a separate semantic layer with one managed Context Layer.