
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.
In the rapidly evolving Creative Advertising Technologies (CAT) sector, pricing strategy represents the critical difference between market leadership and obsolescence as AI-powered tools revolutionize creative workflows and customer expectations. Effective pricing models in this space must balance technological innovation with clear value communication while capturing appropriate returns on substantial R&D investments.
Creative Advertising Technologies face unique pricing challenges due to the rapid integration of AI and automation capabilities. The industry's fast-paced innovation cycle means pricing models must evolve continuously while maintaining clarity for customers. Traditional subscription pricing struggles to capture the value of AI-powered features, as the benefits scale non-linearly with usage and can vary dramatically between customer segments.
Value-based pricing has emerged as a dominant approach, with companies increasingly tying costs to tangible outcomes like campaign performance, creative output quality, or workflow time savings. However, implementing such models requires sophisticated usage tracking and value attribution systems—technical hurdles that many providers struggle to overcome.
A core challenge for CAT providers is determining which features belong in which pricing tiers. The temptation to over-segment can lead to pricing tables with dozens of features and complex matrices that confuse rather than clarify value. According to research by Eleken, creative technology companies with more than 4-5 pricing tiers see a 23% reduction in conversion rates compared to those with streamlined options Eleken, 2024.
The AI divide presents another segmentation challenge—determining which AI capabilities should be included in core packages versus offered as premium add-ons. Industry leaders like Adobe have adopted hybrid approaches, bundling basic AI features in standard tiers while offering advanced capabilities through usage-based pricing or premium subscriptions.
As usage-based pricing gains traction for AI-powered features, CAT companies must navigate the complexity of selecting appropriate usage metrics. Should they charge per creative generated, per minute of processing time, per campaign optimized, or some combination thereof?
The industry is witnessing experimentation with multi-metric models that blend flat platform fees with variable usage components. This approach helps companies maintain baseline revenue predictability while capturing additional value from power users. However, UserVoice reports that 47% of creative technology customers express frustration with understanding potential costs when evaluating usage-based models UserVoice, 2023.
The rapid emergence of generative AI presents unprecedented pricing challenges for the CAT sector. With tools that can produce high-quality creative assets in seconds, traditional per-seat or per-user pricing models may significantly undervalue the technology's impact.
Companies are experimenting with outcome-based pricing tied to specific creative or advertising results, but this approach requires sophisticated tracking and attribution systems. The industry remains in flux, with pricing models evolving alongside technological capabilities and market education.
Monetizely has developed specialized expertise in helping Creative Advertising Technology companies overcome complex pricing challenges and maximize revenue. Our consultants understand the unique dynamics of this rapidly evolving sector, particularly the challenges of pricing AI-powered features, balancing subscription and usage-based models, and clearly communicating value to diverse customer segments.
Our comprehensive approach includes:
Value-Based Pricing Implementation: We help CAT companies identify, quantify, and communicate the tangible business outcomes their technology delivers—whether that's reduced creative production time, improved campaign performance, or enhanced creative quality.
Feature Rationalization and Tier Optimization: Monetizely's experience includes successfully helping companies streamline complex feature sets into clear, compelling pricing tiers. In one case study, we helped an eCommerce CX SaaS provider rationalize from 12 to 5 core packages across 3 product lines, resulting in 15-30% larger deal sizes with 100% sales team adoption.
Pricing Metric Selection: We guide CAT companies in selecting the optimal combination of pricing metrics (users, usage, outcomes) that align with how customers derive value. Our methodology includes helping companies "create a combination pricing metric of users and company revenue" as demonstrated in our work with an IT infrastructure management software provider.
Monetizely employs a sophisticated research methodology to ensure pricing decisions are based on market realities rather than internal assumptions:
Statistical/Quantitative Research: Our approach includes Van Westendorp surveys for price point measurement, conjoint analysis for comprehensive package identification, and Max Diff for feature prioritization.
Empirical Analysis: We analyze pricing power by understanding $/metric across geographies, segments, and tiers, along with tier/package performance through discounting, usage, and shelfware analysis.
In-Person Qualitative Studies: Monetizely employs a unique approach to validating pricing and packaging across a sampling of clients and prospects, ensuring real-world feedback informs strategy.
Beyond strategy development, Monetizely provides comprehensive implementation support:
GTM Alignment: We ensure pricing strategies align with your go-to-market motion, whether that's self-serve, product-led growth, or enterprise sales.
Sales Enablement: Our consultants help prepare sales teams to effectively communicate new pricing models, as demonstrated by our track record of achieving "100% sales adoption" in pricing transitions.
System Integration: For companies implementing usage-based pricing, we provide guidance on "implementing GTM systems to work with usage-based pricing across product metering, billing, CPQ and sales compensation calculations."
While we continue to expand our Creative Advertising Technologies portfolio, our track record with similar technology companies demonstrates our capability to deliver transformative results:
The Creative Advertising Technologies sector faces unprecedented pricing challenges as AI transforms capabilities, customer expectations, and competitive dynamics. Monetizely brings deep expertise in SaaS pricing strategy, proven methodologies for research and implementation, and a track record of delivering revenue growth through optimized pricing models.
Our approach combines rigorous data analysis with practical implementation guidance, ensuring that new pricing strategies not only look good on paper but deliver real-world results. For CAT companies seeking to maximize the value of their innovations while staying competitive in a rapidly evolving market, Monetizely offers the specialized expertise needed to transform pricing from a friction point to a strategic advantage.
Contact Monetizely today to discuss how our Software Pricing Experts can help your Creative Advertising Technology company implement usage-based pricing, subscription pricing, or hybrid models that capture the full value of your innovations and accelerate your growth.
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.
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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.