

Book a Demo
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
The B2B attribution market is undergoing a structural reset. What once began as a way to “justify spend” has now become central to predicting revenue outcomes and driving GTM alignment. In this new era, teams don’t just want to know who touched the deal — they want to know what will drive the next one.
G2’s Fall 2025 report reveals a clear turning point: while Full Circle Insights remains a legacy benchmark for marketing attribution, RevSure represents the next generation, uniting attribution, forecasting, and full-funnel intelligence into one adaptive AI platform.
The contrast couldn’t be starker. RevSure’s perfect scores in product direction, support, and partnership quality highlight its role as a strategic co-pilot rather than a reporting tool.
Full Circle Insights retains strength among traditional marketers accustomed to Salesforce-native dashboards. Still, its lower marks on usability (66%) and setup (54%) suggest that complexity and outdated architecture are limiting its relevance in modern RevOps environments.
RevSure, by contrast, is engineered for agility — AI-assisted setup in weeks, not quarters, and configuration flexibility that scales from mid-market to enterprise.
Speed matters. RevSure’s customers achieve implementation in roughly two months, with ROI visibility within seven months, more than twice as fast as Full Circle’s 16-month payback cycle.
While both tools deliver long-term value, this delta reflects a fundamental difference in architecture: RevSure’s modern, schema-aware data layer auto-maps CRM, ad, and marketing automation signals without custom SQL, whereas Full Circle’s legacy structure depends heavily on Salesforce admin setup and manual report calibration.
The outcome: faster deployment, cleaner data, and immediate executive-level reporting.
Full Circle Insights has long specialized in CRM-native campaign influence tracking. Yet in 2025, influence alone is no longer enough. Marketers demand causality, predictability, and real-time optimization.
RevSure’s near-perfect attribution accuracy across both single- and multi-touch models signals the next leap forward, combining data science with revenue signal modeling to forecast conversion paths, not just record them.
And while Full Circle remains rooted in Salesforce report structures, RevSure brings brand and campaign analytics into the predictive layer, helping marketers identify which creative, channel, or buyer cohort will likely generate pipeline in the next quarter.
Full Circle’s approach to analytics is functional but fragmented, strong in campaign reporting but dependent on static dashboards. RevSure’s analytics layer, in contrast, is dynamic and exploratory, empowering teams to drill down from aggregate pipeline metrics into account-level activity with predictive overlays.
The 13-point gap in visualization quality (90% vs 76%) and 17-point gap in multichannel tracking (94% vs 77%) underline why enterprise GTM teams increasingly treat RevSure as their unified source of truth for marketing effectiveness and pipeline efficiency.
RevSure’s differentiation extends beyond data collection; it interprets marketing behavior in business terms. Its Campaign Stickiness (90% vs 76%) and Brand Optimization (83% vs 66%) scores suggest customers aren’t just tracking engagement; they’re connecting awareness to revenue. Full Circle’s linear attribution logic limits its ability to map brand lift and top-of-funnel motion to pipeline outcomes.
RevSure’s intelligence engine bridges that gap, identifying which signals actually convert, which audiences accelerate buying cycles, and which activities sustain long-term brand recall.
This shift transforms attribution from reactive measurement to proactive investment guidance.
While G2’s dataset focuses on satisfaction metrics, RevSure’s predictive capabilities explain why it consistently outranks Full Circle in Meets Requirements (93% vs 82%) and Product Direction (100% vs 70%).
Unlike Full Circle’s descriptive dashboards, RevSure’s AI models surface leading indicators of conversion readiness, analyzing funnel velocity, stage-level drop-offs, and account engagement trends. The outcome is predictive forecasting that guides both Marketing and RevOps teams toward pipeline confidence. Full Circle reports revenue history; RevSure predicts revenue trajectory.
RevSure’s architectural openness sets it apart. While Full Circle remains Salesforce-dependent, RevSure integrates natively with both CRM and advertising ecosystems, enabling cross-channel attribution and closed-loop ROI feedback.
This distinction matters most for hybrid GTM teams balancing inbound and outbound motions. RevSure ensures data parity across systems, while Full Circle’s siloed setup often requires additional middleware or admin support.
Every enterprise transformation depends on the partner behind the product. RevSure’s triple-digit scores across support, partnership, and direction reflect a platform designed for co-ownership of outcomes.
Where Full Circle users often cite long ticket response times and dependency on Salesforce admin bandwidth, RevSure customers highlight proactive success management, with in-app guidance, real-time SLA dashboards, and hands-on enablement.
The G2 2025 data paints a broader picture than customer satisfaction; it captures an industry inflection point.
As marketing, sales, and RevOps increasingly converge, RevSure’s integrated model enables a shared operational cadence, uniting teams around one question: what will drive the next dollar of pipeline?
The G2 Comparison Report 2025 isn’t merely a scoreboard; it’s a snapshot of a category in transition. Full Circle Insights built the foundation for marketing measurement inside CRM, but RevSure has rebuilt it for the AI-native revenue era.
Its predictive intelligence, seamless integrations, and customer-first philosophy mark the evolution from data collection to revenue orchestration. Where Full Circle explains the past, RevSure anticipates the future, transforming attribution from a marketing metric into a strategic revenue system.

