
Frameworks, core principles and top case studies for SaaS pricing, learnt and refined over 28+ years of SaaS-monetization experience.
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Join companies like Zoom, DocuSign, and Twilio using our systematic pricing approach to increase revenue by 12-40% year-over-year.
The right pricing strategy for time tracking solutions directly impacts both customer acquisition and long-term revenue sustainability in this highly competitive market. Effective pricing models serve as strategic differentiators in a segment where features alone cannot guarantee market success.
Time tracking software companies face unique pricing challenges due to the variable nature of their customers' workforce sizes. Organizations using time tracking solutions frequently experience fluctuations in employee counts, project volumes, and seasonal workloads. This requires pricing models that can adapt to changing needs while maintaining predictable revenue streams for the software provider.
Subscription models dominate the time tracking software landscape, but implementing them effectively requires careful consideration of tier structures and value metrics. According to research from Timesheets.com, rigid flat-fee pricing that ignores workforce size variability leads to customer dissatisfaction and increased churn, particularly among growing companies whose costs suddenly spike with each new hire.
Time tracking software encompasses a wide range of functionality—from basic time capture to sophisticated analytics, compliance monitoring, and project management integration. This functional diversity creates significant challenges for pricing strategy:
Feature Prioritization: Determining which features justify premium pricing versus which should be included in base packages requires deep market understanding. According to Capterra's analysis of time tracking solutions, companies often struggle to differentiate between truly valuable premium features and basic functionality customers expect to be included.
Usage-Based Pricing Opportunities: The project-centric nature of many time tracking implementations creates opportunities for usage-based pricing models tied to projects rather than users, but implementing these models requires sophisticated metering capabilities.
Integration Value: Time tracking software typically integrates with payroll, HRMS, and ERP systems, creating added value that can be monetized through tiered pricing structures or add-on modules.
The emergence of AI-powered features in time tracking software has introduced new pricing complexities. Research from The Business Research Company shows that AI capabilities for automated time capture, anomaly detection, and predictive workforce management typically command premium pricing, but determining the right price point for these features remains challenging.
AI features are generally layered atop core pricing, appearing in upper-tier plans or as separate modules rather than in base packages. Finding the balance between capturing the value of these advanced capabilities without pricing smaller customers out of the market requires sophisticated pricing strategy.
The time tracking software market features significant price variation, from free basic tools to enterprise solutions costing $20+ per user monthly. This pricing disparity creates both challenges and opportunities for strategic positioning. According to Capterra's market analysis, companies that can clearly articulate their value proposition relative to lower-priced alternatives consistently outperform those that compete primarily on price.
As usage-based and consumption-based pricing gains traction across SaaS, time tracking vendors face pressure to evolve their pricing models. Industry research suggests that hybrid models combining per-user fees with usage components (like billable hours tracked or projects managed) are becoming increasingly popular, allowing vendors to align pricing with the value customers derive from the platform.
Monetizely brings deep expertise in SaaS pricing strategy to time tracking software companies facing evolving market pressures. Our approach combines rigorous research methodologies with operational experience, delivering pricing models that maximize revenue while aligning with customer expectations and usage patterns.
Our work with time tracking software companies employs a multi-faceted research approach that ensures pricing decisions are based on solid data rather than assumptions:
Beyond these quantitative methods, Monetizely conducts structured qualitative research with prospects and customers to validate pricing strategies before implementation, minimizing risk and increasing adoption.
Our track record demonstrates consistent success in optimizing pricing for SaaS companies. In one case study, Monetizely helped a $10M ARR IT Infrastructure Management Software company transition from lump-sum subscriptions without specific packages or pricing metrics to a structured pricing model that:
This transformation eliminated sales friction, provided clear monetization paths for new features, and established consistent pricing across the organization.
For time tracking software companies considering consumption-based pricing models, Monetizely offers specialized expertise in implementing these sophisticated approaches. We successfully guided a $3.95B Digital Communication SaaS leader in implementing usage-based pricing while avoiding a potential 50% revenue reduction impact, demonstrating our ability to manage complex pricing transitions without disrupting existing revenue streams.
What sets Monetizely apart in the pricing consulting space is our foundation as product managers and marketers first, with deep understanding of agile product launches and market needs backed by 16+ years of PMM experience. This contrasts with many pricing consultants who lack insight into SaaS product cycles.
Our agile, in-person structured research approach is tailored to ongoing research aligned with agile product development, making our services highly capital-efficient compared to traditional waterfall methods that rely on costly, lengthy research.
For time tracking software companies navigating complex pricing decisions, Monetizely delivers strategic insights that translate directly to revenue growth, reduced sales friction, and sustainable competitive advantage.
Join companies like Zoom, DocuSign, and Twilio using our systematic pricing approach to increase revenue by 12-40% year-over-year.
1
None of the other premier consultants have actually implemented complex pricing within companies like Twilio and Zoom. This requires operational systems understanding, not just strategy.
In addition, other consultants often "over egg the pudding", they know customers will buy approaches as long as they look/feel scientific, yet we have multiple customers who have spent more >$100k each on conjoint analysis which did not help them at all. We are careful with where we ask you to spend your money.
2
Willingness to pay is context-dependent and works best when analyzed alongside packaging and pricing metrics. We use structured surveys like Van Westendorp, Max Diff, Conjoint Analysis as well as in-person research interviews to gather actionable data.
3
The cost of milk or a McDonald's burger inflates. However, SaaS prices almost always deflate and requires both adjustment of product packages as well as innovation to remain relevant.
Additionally, AI adoption will drive a shift from user-based pricing to more usage/consumption based models to accommodate the very high costs of serving these products. Expect to see deflation over time here as well as the the cost of serving AI products drops by multiples every month.
4
We want to monitor discounting % per package, usage of features within the packages, upsell rate of features to see whether we have a good pricing motion or whether it needs adjusting.
5
The Monetizely team has over 28 years of collective experience in software pricing, having previously worked with industry leaders like Twilio, Zoom and DocuSign, ensuring expert guidance in SaaS pricing strategies.
6
We recommend doing a better job on the pricing testing phase and to mitigate risk roll out the pricing in a phased manner.
For 80-90% of cases, we do not recommend A/B testing as that creates too much market confusion and overhead (in certain cases, doing an advance roll out in a different geo can work).
7
Competitive information is helpful but only a small piece of the picture. Competitors are in different stages of growth. Their product functionality is also different.
We recently had a client where sales teams pushed for lower pricing to compete with current rivals, but the company’s strategic vision aimed to evolve into a new category, making the competitive pricing data less relevant.
8
To kickstart your SaaS pricing optimization, consider consulting with the experts at Monetizely. You can also deepen your understanding by reading our book "Price to Scale" and enrolling in "The Art of SaaS Pricing and Monetization" course on Maven. These resources are crafted to equip you with the necessary skills and knowledge to refine your pricing strategy effectively.