
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.
Effective pricing strategy for email marketing software directly impacts customer acquisition, retention, and long-term revenue growth while determining market positioning against competitors. Pricing decisions in this vertical are particularly critical as they must align with diverse customer needs across business sizes and usage patterns.
Email marketing platforms face unique pricing challenges due to the extreme variance in customer usage patterns. Small startups may send a few thousand emails monthly while enterprise clients dispatch millions, requiring pricing models that accommodate this range without creating entry barriers or underpricing high-volume users. The subscriber-based pricing model has become industry standard, but implementing the right tier structure remains challenging.
The email marketing landscape has evolved dramatically with AI-powered capabilities transforming basic email delivery into sophisticated marketing automation. Pricing strategists must determine how to value and monetize features like:
According to 99signals (2025), platforms that effectively price their AI features as either premium tier inclusions or modular add-ons achieve higher adoption rates than those bundling all AI capabilities into inflexible packages.
Email marketing software providers struggle with balancing the predictability of subscription models against the fairness of usage-based pricing. TheCMO (2025) reports that while 63% of email marketing platforms still primarily use subscriber-count tiers, there's a growing trend toward hybrid models that incorporate usage components for specific features.
This tension is particularly evident in how platforms price their email volume allowances. Some maintain strict sending limits per tier, while others have shifted to pooled sending credits or "fair use" policies that provide more flexibility while protecting against abuse.
With over 300 email marketing platforms competing globally, pricing has become a critical differentiator. Companies must navigate the challenge of standing out without engaging in margin-eroding price wars. According to EmailVendorSelection (2025), successful platforms differentiate through pricing models that emphasize unique value metrics beyond basic subscriber counts, such as engagement scoring or deliverability guarantees.
The most effective pricing strategies in this space align costs with specific value drivers rather than generic usage metrics, allowing email marketing platforms to maintain healthy margins while justifying premium positioning.
With over 28 years of combined pricing leadership experience from companies like Zoom, Twilio, DocuSign, Squarespace, and LinkedIn, Monetizely brings unparalleled SaaS pricing expertise to email marketing software companies. Our team has handled the complexities that email marketing platforms face, including usage-based pricing transitions, tiered subscriber models, and AI feature monetization strategies.
Unlike traditional consultants who may lack operational experience, our team has directly managed cross-functional pricing rollouts in technology companies, giving us practical insight into the implementation challenges specific to email marketing platforms.
Monetizely employs a three-pronged approach to email marketing software pricing research:
Statistical/Quantitative Analysis:
Empirical Data Analysis:
In-Person Qualitative Research:
Our ongoing partnership model provides email marketing platforms with:
For email marketing platforms seeking a comprehensive pricing strategy overhaul:
By partnering with Monetizely, email marketing software companies gain access to specialized SaaS pricing expertise that goes beyond generic consulting approaches. Our methodologies are tailored to the unique challenges of email marketing platforms, where subscriber counts, usage volumes, and feature adoption must be carefully balanced in pricing strategy.
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.