How to present traction without users

Guru Startups' definitive 2025 research spotlighting deep insights into how to present traction without users.

By Guru Startups 2025-10-25

Executive Summary


When a venture lacks active users, traction cannot be measured by monthly active users or revenue growth alone. The investment narrative must pivot to a forward-looking, risk-adjusted set of indicators that credibly imply rapid user adoption once the product enters market access conditions. This report outlines how to present traction in environments where early users are sparse or non-existent, emphasizing non-user signals that forecast scale, defensibility, and monetization potential. The core premise is that credible traction, in absence of user adoption, rests on four pillars: a robust pipeline of committed pilot customers or strategic partners; demonstrated product readiness and time-to-value for early adopters; the creation of defensible data assets or network effects that will drive future usage; and a credible economic model supported by pre-announced pricing, binding LOIs, or pilot-to-contract transitions. Investors should look for a clear narrative linking product milestones, partner engagement, and data or platform advantages to a tangible path to revenue, with explicit milestones, risk mitigants, and fallback options if adoption lags. This framework enables founders to articulate a compelling, investor-ready trajectory that transcends near-term user metrics and foregrounds risk-adjusted pathway-to-scale.


Market Context


The current venture funding environment increasingly values traction signals that can be observed before end-user adoption materializes. In sectors such as enterprise software, infrastructure, data platforms, and developer tools, the path from concept to revenue frequently passes through pilots, LOIs, and strategic collaborations rather than immediate consumer growth. Investors are attuned to the distinction between a large TAM and the near-term ability to convert pilots into paying contracts, particularly where procurement cycles are long or where enterprise buyers require security, compliance, and interoperability assurances. In this context, traction without users hinges on demonstrating that the product addresses a concrete, measurable pain, that early partnerships safeguard a share of the future addressable market, and that the company has created the conditions for rapid scale when the market entry point becomes accessible. The market context also favors ventures with defensible data assets, platform economics, and network effects that can compound value as more participants engage, even before a broad user base exists. This environment rewards clarity of value proposition, defensibility of the underlying asset, and the speed with which pilots can evolve into revenue-generating relationships.


Core Insights


First, pipeline and commitment signals should be calibrated as substitutes for active users. A credible pipeline includes clearly defined pilot programs with objective success criteria, executive sponsorship from pilot customers, and a formalized process for transitioning pilots into commercial agreements. Binding LOIs, term sheets, or procurement commitments from anchor customers should be presented with explicit timing and conditions. Second, product readiness and time-to-value must be documented through use-case demonstrations, sandbox metrics, and quantified onboarding timelines. Investors want to see a well-articulated value realization path, including expected time-to-first-value and the likelihood of expanded usage within pilot cohorts. Third, non-user traction often rests on data strategy and platform economics. Companies with data assets, data partnerships, or APIs that unlock external value can show defensible moat dynamics that persist beyond the initial lack of users. Evidence of data partnerships, early data licensing opportunities, or developer ecosystem activity can signal a flywheel effect that accelerates adoption once go-to-market efforts pick up. Fourth, economic signals—while provisional—should be anchored by pricing plans, estimated gross margins on future units of output, and a transparent plan to convert pilots into revenue. Even where revenue is not yet realized, present a credible financial model that ties input costs, customer acquisition dynamics, and pricing elasticity to a plausible path to profitability. Fifth, governance, risk management, and regulatory readiness can become a surrogate for traction. In regulated or sensitive sectors, showing progress toward compliance, security certifications, and audit trails can reduce perceived risk and accelerate the sales cycle once interest converts into procurement. Taken together, these insights form a cohesive narrative: the business is methodically lowering execution risk and laying a scalable foundation, even in the absence of a sizable user base today.


Investment Outlook


From an investment standpoint, traction without users emphasizes forward-looking indicators that can reduce execution risk and signal monetization potential. The evaluation framework centers on the quality and speed of pilots, the binding nature of commitments, and the strength of the product’s go-to-market scaffold. The presence of anchor customers or strategic partners who are willing to provide time-bound commitments, along with evidence of a repeatable onboarding process, elevates the probability of rapid scale once the product reaches market readiness. Valuation discipline in this context becomes a function of: the credibility and concentration of pilot commitments, the maturity of the product roadmap, and the defensibility of data assets or platform economics. Investors should apply scenario-based assessments that weight the probability of conversion from pilots to contracts, the anticipated deal sizes, and the expected timing of monetization. A favorable outlook emerges when pilot momentum aligns with a clear, repeatable sales motion and a defined exit path, such as an incumbent partnership, an ecosystem-wide platform adoption, or a strategic acquisition that values data assets and integration capabilities. Conversely, risk intensifies if pilot outcomes are ambiguous, partner commitments are non-binding, or the regulatory pathway introduces substantial onboarding complexity without commensurate risk mitigants. The key for leadership teams is to articulate a credible, measurable path from current non-user traction to revenue outcomes within a defined time horizon, with explicit escalation milestones and transparent risk disclosures.


Future Scenarios


In the base scenario, the company sustains a robust pilot pipeline with clearly defined success criteria, early anchor commitments materialize into formal contracts, and the product reaches market readiness on a timeline that aligns with buyer procurement cycles. The narrative emphasizes a narrowing risk window as pilots crystallize into revenue, the data assets begin to deliver measurable value for partners, and the platform economics start to manifest as a scalable moat. In an upside scenario, a handful of pilots mature quickly into multi-year, multi-seat contracts, catalyzing a faster-than-expected expansion of usage within the customer ecosystem and attracting follow-on partnerships that broaden the addressable market. The perceived defensibility of data assets or network effects accelerates this trajectory, leading to elevated valuation supported by near-term revenue visibility and higher gross margins. In a downside scenario, pilot outcomes stall or fail to convert into binding commitments, supplier procurement cycles lengthen, or regulatory hurdles introduce friction without corresponding mitigants. In such a case, risk mitigation becomes critical: the company must demonstrate alternative pathways to value, such as licensing data assets to multiple ecosystems, securing strategic alliances that preserve optionality, or accelerating product milestones that demonstrably reduce time-to-value. A hybrid scenario acknowledges that external shocks—macroeconomic slowdowns, shifts in enterprise buying behavior, or competitor displacements—can alter the pace of conversion, yet the underlying non-user traction signals remain credible, provided the company maintains disciplined governance, continuous product iteration, and a transparent, data-driven roadmap. Investors should assess each scenario with explicit probability weights, expected cash flow implications, and sensitivity analyses around key levers such as pilot-to-revenue conversion rates, deal size, and sales cycle duration.


Conclusion


Traction in the absence of active users demands a disciplined articulation of forward-looking indicators that credibly imply rapid value realization once onboarding begins. The most persuasive investor narratives combine a well-structured pilot program with measurable, time-bound milestones, concrete commitments from strategically important partners, and a defensible asset base—whether that asset is proprietary data, an ecosystem-enabled platform, or a scalable integration layer. The emphasis should be on the quality of engagements, the velocity of progression from pilot to revenue, and the robustness of the economic case underpinning the business model. In practice, founders should present a transparent, risk-adjusted road map that links each non-user traction signal to a tangible revenue or scale outcome, quantify uncertainties, and delineate realistic fallback plans. When these elements cohere, traction without users can become a compelling predictor of future growth, transforming a pre-revenue narrative into a credible, investable proposition that resonates with risk-aware venture and private equity investors.


Guru Startups Pitch Deck Analysis


Guru Startups analyzes Pitch Decks using advanced large language models across more than 50 evaluation points to surface structured, investable insights, identify salient risk vectors, and benchmark narrative quality against sector peers. This methodology covers narrative clarity, problem-solution fit, market dynamics, competitive positioning, go-to-market strategy, data assets and moats, pilot and binding commitment signals, product-readiness milestones, unit economics proxies, regulatory and security readiness, and the credibility of financial projections, among other dimensions. Learn more about Guru Startups and our comprehensive deck-review platform at www.gurustartups.com.