Make better decisions with GTM intelligence.
Make better decisions with GTM intelligence.
Make better decisions with GTM intelligence.
Most organizations invest heavily in marketing and sales, but operate without a reliable way to connect activity to outcomes.
Marketing teams see impressions, clicks, and form fills. Sales teams see meetings, pipeline stages, and deals. Finance sees revenue. Each view is internally consistent, but disconnected from the others.
Over time, this fragmentation makes it difficult to answer basic questions about growth. Which channels consistently produce qualified pipeline? Which campaigns influence closed deals? Which behaviors indicate genuine buying intent? Where is budget being wasted? Which accounts should receive the most attention?
In most companies, these questions are answered through partial reports, ad-hoc dashboards, and informal narratives. Attribution becomes subjective. Planning becomes political. Decisions rely more on intuition than evidence.
Loops exists to replace this with a coherent system.
We connect marketing, product, sales, and payment data into a unified model of the customer journey, anchored in revenue. Every account and opportunity is represented as a continuous timeline, from first interaction through conversion and retention.
This allows teams to reason about growth using the same underlying data, rather than competing interpretations.
For marketing teams, this means understanding which channels and campaigns consistently translate into high-quality pipeline and closed revenue, not just surface-level engagement. Budget allocation becomes grounded in outcomes. Experimentation becomes more systematic. Performance can be evaluated over full buying cycles rather than short-term windows.
For sales teams, this means being able to prioritize accounts based on demonstrated intent and historical patterns, rather than static lead scores or manual heuristics. Reps gain visibility into which interactions matter, which signals predict conversion, and where to focus their time. Pipeline management becomes more precise and less reactive.
At the organizational level, this shared model improves alignment. Marketing and sales operate on the same definitions. Leadership can evaluate performance without reconciling conflicting reports. Forecasts become more stable. Growth discussions become analytical rather than anecdotal.
Loops is not designed as a reporting tool or a collection of dashboards. It is an intelligence layer that sits across the go-to-market stack and continuously reconciles data into a consistent representation of reality. As the system learns from outcomes, its models improve, and decision quality compounds over time.
Most companies struggle with growth not because they lack data, but because they lack structure. They generate signals at every stage of the funnel but have no reliable way to integrate them into a coherent view.
Loops provides that structure.
Most organizations invest heavily in marketing and sales, but operate without a reliable way to connect activity to outcomes.
Marketing teams see impressions, clicks, and form fills. Sales teams see meetings, pipeline stages, and deals. Finance sees revenue. Each view is internally consistent, but disconnected from the others.
Over time, this fragmentation makes it difficult to answer basic questions about growth. Which channels consistently produce qualified pipeline? Which campaigns influence closed deals? Which behaviors indicate genuine buying intent? Where is budget being wasted? Which accounts should receive the most attention?
In most companies, these questions are answered through partial reports, ad-hoc dashboards, and informal narratives. Attribution becomes subjective. Planning becomes political. Decisions rely more on intuition than evidence.
Loops exists to replace this with a coherent system.
We connect marketing, product, sales, and payment data into a unified model of the customer journey, anchored in revenue. Every account and opportunity is represented as a continuous timeline, from first interaction through conversion and retention.
This allows teams to reason about growth using the same underlying data, rather than competing interpretations.
For marketing teams, this means understanding which channels and campaigns consistently translate into high-quality pipeline and closed revenue, not just surface-level engagement. Budget allocation becomes grounded in outcomes. Experimentation becomes more systematic. Performance can be evaluated over full buying cycles rather than short-term windows.
For sales teams, this means being able to prioritize accounts based on demonstrated intent and historical patterns, rather than static lead scores or manual heuristics. Reps gain visibility into which interactions matter, which signals predict conversion, and where to focus their time. Pipeline management becomes more precise and less reactive.
At the organizational level, this shared model improves alignment. Marketing and sales operate on the same definitions. Leadership can evaluate performance without reconciling conflicting reports. Forecasts become more stable. Growth discussions become analytical rather than anecdotal.
Loops is not designed as a reporting tool or a collection of dashboards. It is an intelligence layer that sits across the go-to-market stack and continuously reconciles data into a consistent representation of reality. As the system learns from outcomes, its models improve, and decision quality compounds over time.
Most companies struggle with growth not because they lack data, but because they lack structure. They generate signals at every stage of the funnel but have no reliable way to integrate them into a coherent view.
Loops provides that structure.
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