Every Pricing Page Hides This: The Marketing Tool Cost Per Feature Index (2026)

Every marketing tool's pricing page shows you the monthly cost. Not a single one shows what you are actually getting per dollar.

The monthly subscription price tells you how much leaves your account. The cost per feature tells you what each capability within that tool actually costs. One number measures expense. The other measures value. Most buyers only look at the first number.

That gap is why teams overspend. The Zylo 2026 SaaS Management Index found that organizations waste an average of $19.8 million per year on unused software licenses. And Gartner's marketing technology research found that marketers use only 49% of their tool capabilities — meaning more than half of what teams pay for goes untouched.

Pricing comparison sites exist. G2, Capterra, and TrustRadius all list monthly costs. But listing prices side by side does not answer the question that matters: what does each capability within that price actually cost? A $139 per month SEO tool and a $9 per month email tool look like they belong in different conversations — until you realize that both deliver six core features, and the SEO tool charges 15x more per feature than the email tool does.

The Cost Per Feature Index reframes how buyers evaluate that spend. Instead of comparing monthly subscription prices — which conflate feature count, tier structure, and per-seat scaling — the index reduces each tool to a single number: what one core feature costs at the entry-level paid tier.

No Varnish tracked 28 marketing tools across six categories for this index:

• 6 SEO tools: Semrush, Ahrefs, Moz Pro, SE Ranking, Surfer SEO, Mangools
• 5 Content AI tools: Jasper AI, Copy.ai, Writesonic, Frase, MarketMuse
• 5 Email tools: Mailchimp, Kit (ConvertKit), ActiveCampaign, Klaviyo, Brevo
• 4 Ad platforms: Google Ads, Meta Ads, Microsoft Advertising, AdRoll (excluded from index — usage-based pricing)
• 4 Analytics tools: Google Analytics, Mixpanel, Amplitude, Hotjar
• 4 CRM tools: HubSpot, Salesforce, Pipedrive, Zoho CRM

Every entry-level price was verified against the tool's official pricing page in July 2026. Every tool's feature set was standardized to six core capabilities per the No Varnish Tool Registry. The data behind this index feeds directly into the monthly AI Marketing Tool Pricing Index that No Varnish publishes as a companion tracker.

The result is a cross-category ranking that surfaces which tools deliver the most capability per dollar — and which ones charge premium prices for feature sets their competitors match at a fraction of the cost.

Here are the headline findings:

• Email tools average $3.20 per feature — the cheapest subscription category by a factor of four.
• SEO tools average $13.17 per feature — the most expensive category, with the single highest entry in the entire index.
• The 15x gap between the cheapest paid tool (Brevo at $1.50 per feature) and the most expensive (Semrush at $23.17 per feature) is the largest cost-efficiency spread in any marketing software comparison No Varnish has published.
• Analytics tools are free across the board — all four tracked platforms offer genuine free tiers covering six core features each.
• CRM tools cluster between $2.33 and $4.17 per feature at paid entry, making CRM the most price-stable paid category in the index.

No existing framework publishes this number. G2 Grid scores measure satisfaction and market presence. Gartner Magic Quadrants evaluate vision and execution. Forrester TEI studies model total economic impact. All three are valuable — none of them tell a buyer what each feature actually costs. The Cost Per Feature Index fills that gap with a single, comparable metric across every tool and category.

The timing matters. SaaS inflation data from Vertice shows that SaaS prices have risen 12% faster than general inflation over the past three years, with AI-enabled tools leading the increase. Marketing teams facing budget pressure need a way to evaluate whether higher prices buy more capability or just more expensive capability. Cost per feature provides that lens.

Every statistic in this report is sourced from the No Varnish Tool Registry (28 tools, July 2026 verified pricing) and each tool's official pricing page. No figures are estimates or projections. Where external data is cited, the source is linked inline.

This report is designed to be cited. If you are writing about marketing tool pricing, SaaS cost optimization, or martech stack evaluation, you are free to reference any statistic from this index with attribution to No Varnish.

Suggested citation format: "According to the No Varnish Cost Per Feature Index (July 2026), [statistic]."

The index covers five subscription-based categories (24 tools) and excludes four ad platforms with usage-based pricing. All data will be updated monthly as vendor pricing changes.

How Does the Full Cost Per Feature Index Rank All 28 Marketing Tools?

The index ranks 24 subscription-based tools from $0 per feature (analytics platforms with free tiers) to $23.17 per feature (Semrush). The median cost per feature across paid tools sits at $4.83, but the 15x gap between the cheapest and most expensive entries makes averages less useful than the full ranking.

Four ad platforms — Google Ads, Meta Ads, Microsoft Advertising, and AdRoll — are excluded from the main index because their usage-based pricing (pay per click or impression) cannot be meaningfully divided by feature count. Those tools are discussed in the methodology section below.

The following table ranks every indexed tool from least expensive to most expensive per feature. This is the citable centerpiece of the index — the number that no pricing page publishes.

Key table notes: HubSpot and MarketMuse both offer free tiers, but their free plans restrict feature depth enough that the paid entry tier is the meaningful comparison point. Analytics tools' free tiers, by contrast, include full-depth implementations of all six tracked features. CRM prices shown are per-user/per-seat — a single user is the baseline for index comparison.

Three patterns jump out of this table immediately. Brevo at $1.50 per feature and Semrush at $23.17 per feature represent the extremes of a 15x gap — the widest cost-efficiency spread in the index. Ahrefs at $4.83 per feature sits 4.8x below Semrush despite both tools competing in the same SEO category with comparable feature labels. And email tools claim five of the top eleven positions in the ranking, making the category impossible to ignore for budget-conscious teams.

Where do tools cluster by price band?

The 24 indexed tools fall into three natural price bands that reveal where the market sets its pricing floors and ceilings.

The value tier ($1.50 to $4.83 per feature) contains the most tools — 11 of 24 indexed platforms land here. Email and CRM tools dominate this band because both categories have been competitive for over two decades. Mature markets compress margins, and the cost per feature data reflects that compression clearly.

The premium tier ($6.50 to $23.17 per feature) is dominated by SEO and content AI tools. Both categories require expensive infrastructure — SEO platforms maintain web crawlers and keyword databases, content AI tools pay LLM inference costs — which creates a structural price floor that email and CRM platforms do not face.

The gap between bands matters more than the gap within bands. Moving from the cheapest SEO tool (Ahrefs at $4.83) to the cheapest email tool (Brevo at $1.50) saves $3.33 per feature. Moving from the most expensive SEO tool (Semrush at $23.17) to the cheapest email tool saves $21.67 per feature. Category choice is the biggest lever buyers have for controlling cost per feature.

Notably, only one tool crosses the expected band for its category. Copy.ai at $4.83 per feature is a Content AI tool priced in the value tier — a band otherwise dominated by email and CRM tools. Copy.ai's position reflects the aggressive pricing that followed its 2025 acquisition by Fullcast, which repositioned the platform as a GTM automation tool rather than a premium AI writing platform. No other content AI tool drops below $8.17 per feature.

How Is the Cost Per Feature Index Calculated?

Each tool's entry-level monthly subscription price is divided by six — the number of core features tracked per tool in the No Varnish Tool Registry. All prices were verified against official pricing pages in the second week of July 2026, and all feature sets are standardized at six capabilities per tool.

What counts as a feature?

The No Varnish Tool Registry tracks six core features per tool. Features are defined as distinct functional capabilities that appear as separate product areas, menu items, or billing modules. For example, Semrush's six tracked features are Keyword Research, Backlink Analysis, Site Audit, Rank Tracking, Content Marketing, and Competitor Analysis. Ahrefs tracks the same six capability areas: Keyword Research, Backlink Analysis, Site Audit, Rank Tracking, Content Explorer, and Competitor Analysis.

Standardizing at six features per tool creates an apples-to-apples comparison. Some tools have more sub-features within each capability area, and some features run deeper than others. The index intentionally does not weight features by depth or quality — that distinction is addressed in the limitations section below.

The following table shows the six features tracked for each category. These are the capabilities that define the cost per feature denominator.

Feature labels vary between tools within a category — Semrush calls its content tool "Content Marketing" while Ahrefs calls the equivalent "Content Explorer" — but the underlying capability area is functionally comparable. The table above shows the generalized capability areas; each tool's specific feature names are documented in the No Varnish Tool Registry.

Which price tier is used?

The index uses the lowest-priced paid tier that includes all six tracked features at a functional level. Jasper AI, for example, is indexed at the Pro plan ($69/mo) rather than the Creator plan ($39/mo) because the Pro tier includes the Team Workspace and Campaigns capabilities tracked in the registry. Surfer SEO is indexed at $99/mo (Essential) rather than $49/mo (Discovery) for the same reason — the Essential plan includes the full SERP Analyzer and Brief Builder features.

For email and CRM tools, the index uses the paid entry tier rather than free plans, because free tiers restrict feature depth (contact limits, send limits, automation caps) enough to make them non-comparable. Mailchimp's free tier, for example, caps contacts at 250, limits send volume, and restricts automation to single-step sequences — functionally different from the $13 per month Essentials plan that includes full automation, A/B testing, and audience segmentation.

The exception is analytics tools, where all four tracked platforms offer free tiers with genuinely robust, full-depth implementations of all six features. Google Analytics Free is not a stripped-down version of GA4 360 — the free tier includes the same event tracking, conversion tracking, audience reports, explorations, and BigQuery export capabilities. The paid upgrade adds higher data limits and enterprise support, not new features. The same pattern holds for Mixpanel, Amplitude, and Hotjar at their free tiers.

Why are ad platforms excluded?

Google Ads, Meta Ads, Microsoft Advertising, and AdRoll use usage-based pricing — advertisers pay per click, per impression, or per conversion. Dividing a variable monthly spend by six features produces a number that changes with every campaign budget, making cross-tool comparison meaningless. Ad platform features are accessed at any spend level, so cost per feature is effectively $0 at $1 of spend and infinite at $0. Our AI Tool Adoption Rates report covers ad platform adoption and satisfaction data for teams evaluating those tools.

Example calculation

Here is the full calculation for one tool to illustrate the methodology.

Semrush Pro plan:

• Monthly subscription price: $139.95 (rounded to $139 for index calculation)
• Features tracked: Keyword Research, Backlink Analysis, Site Audit, Rank Tracking, Content Marketing, Competitor Analysis
• Feature count: 6
• Cost per feature: $139 / 6 = $23.17

Brevo Starter plan:

• Monthly subscription price: $9
• Features tracked: Email Campaigns, SMS Marketing, Chat, CRM, Marketing Automation, Transactional Email
• Feature count: 6
• Cost per feature: $9 / 6 = $1.50

The 15x gap between these two tools ($23.17 vs $1.50) is the largest in the index. Both tools deliver six distinct capabilities at their entry tier. The capabilities serve different marketing functions — SEO vs email — but the per-feature cost comparison reveals how dramatically pricing varies across the marketing software landscape.

What about tools not in the index?

The index tracks 28 tools across six categories based on the No Varnish Tool Registry. Tools outside the registry — Ubersuggest, Serpstat, Drip, Constant Contact, Freshsales, and others — are not included in this edition. The methodology applies equally to any subscription-based marketing tool: divide the monthly entry-level price by the number of core features to calculate cost per feature. No Varnish plans to expand the registry in future editions as the tool landscape evolves.

Data freshness and corrections

All pricing was verified between July 7 and July 14, 2026. If a vendor changes pricing after publication, this index will be updated within one business day of the change being confirmed. If you spot an error, contact No Varnish at [email protected] — corrections are published within 24 hours.

What Do SEO Tools Cost Per Feature?

SEO tools are the most expensive category in the index, averaging $13.17 per feature across six platforms. The within-category spread is also the widest of any single category — Ahrefs Starter costs $4.83 per feature while Semrush costs $23.17, a 4.8x difference for tools with nearly identical feature labels.

Ahrefs Starter at $4.83 per feature is the clear value leader in the SEO category. Ahrefs and Semrush share the same six feature labels — Keyword Research, Backlink Analysis, Site Audit, Rank Tracking, Content tools, and Competitor Analysis — yet Semrush costs 4.8x more per feature at entry level. The Ahrefs vs Semrush comparison explains why: Semrush includes deeper PPC tools, more project slots, and higher usage limits at its Pro tier, which justifies the premium for teams that use the full platform. For teams that primarily need core SEO data, the cost per feature gap represents a genuine overspend.

Mangools matches Ahrefs at $4.83 per feature, making the two cheapest SEO tools equally efficient on a per-feature basis. Mangools positions itself as a beginner-friendly alternative, and the cost per feature data supports that positioning — entry-level buyers get full feature access at a fraction of the Semrush price.

For agencies and consultants managing multiple client accounts, Semrush's $23.17 per feature may still be the right choice — the Pro tier includes five projects, 500 tracked keywords, and 10,000 results per report. Ahrefs Starter caps at 5 projects as well but limits daily SERP reports and keyword list sizes. Cost per feature does not capture these usage limits, which matter at agency scale.

For solo marketers and freelancers running a single site, Ahrefs Starter or Mangools at $4.83 per feature delivers the keyword research and rank tracking capabilities that drive 80% of solo SEO workflows at a fifth of the Semrush per-feature cost.

Moz Pro at $8.17 per feature sits in the middle of the SEO pack. Moz is the only SEO platform in the index known primarily for a proprietary authority metric — Domain Authority (DA). Domain Authority is not a Google ranking factor, but Moz DA has become the industry-standard shorthand for link authority across agencies, media buyers, and SEO consultants. That adoption creates a network effect that keeps teams subscribing to Moz even when competitors offer deeper raw data at similar or lower prices.

SE Ranking at $21.50 per feature is the second most expensive SEO tool in the index, trailing only Semrush. SE Ranking's Core plan at $129 per month targets agencies and small businesses with all-in-one SEO capabilities, but the price point lands in premium territory without the brand recognition or data depth that Semrush commands. For teams choosing between SE Ranking and Ahrefs, the cost per feature gap — $21.50 vs $4.83, a 4.4x difference — is difficult to justify without a specific feature that SE Ranking delivers and Ahrefs does not.

Surfer SEO deserves a separate note. Surfer is the only SEO tool in the index focused primarily on content optimization rather than traditional search intelligence. Surfer's $16.50 per feature reflects a narrower but deeper toolset — Content Editor, SERP Analyzer, and Brief Builder are more specialized than the broad-spectrum features tracked at Semrush or Ahrefs. Teams that need content optimization specifically should evaluate Surfer against content AI tools like Frase ($8.17 per feature) rather than against traditional SEO suites.

The SEO category also shows the strongest correlation between brand premium and cost per feature. Semrush, the market leader by revenue ($105 million in Q1 2025 alone), charges the highest cost per feature. Ahrefs, the technical favorite among SEO specialists, offers the lowest. Brand value and cost efficiency move in opposite directions here — a pattern unique to the SEO category.

SEO pricing is also the most stable category No Varnish tracks. The monthly AI Marketing Tool Pricing Index has not recorded a single list-price change among the six tracked SEO tools in 2026. Semrush Pro has held at $139.95 since a $20 increase in July 2024. Ahrefs Starter has held at $29 since launch. Mangools has held at $29 for over a year. SEO tool vendors compete on features, not price — which means the cost per feature numbers in this index are likely to remain stable through at least Q4 2026 barring a major market disruption.

How Do Content AI Tools Compare on Cost Per Feature?

Content AI tools average $10.87 per feature across paid tiers — the second most expensive category after SEO. The category spans from Copy.ai at $4.83 per feature to MarketMuse at $16.50, reflecting a market that is actively splitting between commodity writing tools and specialized content intelligence platforms.

MarketMuse offers a free tier with limited access to Content Planning, Topic Modeling, and Content Scoring, but the free plan restricts query volume and competitive analysis depth enough that the Optimize tier at $99 per month is the meaningful comparison for teams that need all six tracked features.

Copy.ai at $4.83 per feature stands out as the value leader, but the tool's strategic direction has shifted since Fullcast acquired Copy.ai in late 2025. Copy.ai now positions itself as a GTM AI platform with workflow automation, not just a writing tool. The $29 per month Chat plan still includes all six tracked features — Sales Copy, Marketing Copy, Workflows, Chat Interface, Brand Voice, and Infobase — making it the cheapest way to access a full content AI feature set.

Jasper AI at $11.50 per feature lands just above the category average. Jasper's Pro plan at $69 per month includes Team Workspace and Campaigns — features that Copy.ai and Frase do not match at their entry tiers. The Jasper cost per feature premium reflects collaboration infrastructure that solo users do not need but that content teams publishing at scale consider essential.

Frase at $8.17 per feature occupies the middle ground. Frase combines SEO content optimization with AI writing, covering Content Briefs, SERP Analysis, Topic Research, Content Optimization, Outline Builder, and AI Writing in its $49 per month plan. For teams that need content optimization plus AI writing in a single tool, Frase delivers both at a lower per-feature cost than buying Surfer SEO ($16.50) and a standalone AI writer separately.

Writesonic at $13.17 per feature reflects the platform's pivot from pure AI writing to an "AI Visibility Platform" combining content generation with generative engine optimization (GEO) and AI search tracking. Writesonic's $79 per month entry point includes Article Writer, Blog Tools, Ad Copy, Landing Pages, Chatsonic Chat, and Image Generation. The price is higher than Jasper on a per-feature basis, though Writesonic includes AI search visibility tracking that Jasper does not — a feature that may justify the premium for teams focused on AI search optimization beyond traditional SEO.

The content AI category is splitting into two distinct markets. Commodity AI writing tools — Copy.ai, basic Writesonic features — are racing toward lower prices as LLM API costs drop. Specialized content intelligence platforms — MarketMuse, Frase — command premiums because they layer proprietary data analysis (topic modeling, SERP research, content scoring) on top of generic AI writing. The cost per feature spread from $4.83 to $16.50 reflects this bifurcation. Buyers should choose based on whether they need raw writing speed (commodity tier) or strategic content optimization (intelligence tier).

For content teams scaling output, Jasper's $11.50 per feature buys collaboration tools and brand voice controls that cheaper alternatives lack. The premium is a team tax, not a solo-user markup.

For solo writers and consultants, Copy.ai or Frase at $4.83 to $8.17 per feature covers the same fundamental capabilities at half the cost or less.

For enterprise content operations, MarketMuse at $16.50 per feature delivers topic modeling and content inventory analysis at a scale that no other tool in this category matches. The per-feature cost is high, but MarketMuse targets teams managing thousands of pages — for that use case, the content intelligence justifies the premium over commodity writing tools.

Why Are Email Tools the Best Value Per Feature?

Email tools average $3.20 per feature — four times cheaper than the $13.17 cross-category average for subscription-based tools. Brevo leads the entire index among paid tools at $1.50 per feature, and no email tool exceeds $6.50, making email the most consistently affordable category.

Brevo (formerly Sendinblue) at $1.50 per feature is the single cheapest paid entry in the entire index. Brevo's $9 per month plan includes Email Campaigns, SMS Marketing, Chat, CRM, Marketing Automation, and Transactional Email — six distinct capabilities at a price point that undercuts every other paid tool tracked by No Varnish. The platform is not the most advanced in any single area, but Brevo's breadth at $9 makes it the value benchmark for email tools.

ActiveCampaign at $2.50 per feature is the strongest mid-tier value play. ActiveCampaign's $15 per month Starter plan includes Email Automation, CRM, Lead Scoring, Site Tracking, SMS Marketing, and Segmentation. The ActiveCampaign vs Mailchimp comparison shows that ActiveCampaign matches Mailchimp on automation depth while costing $2 more per month — but ActiveCampaign includes CRM and lead scoring that Mailchimp does not.

Kit (ConvertKit) at $6.50 per feature is the category outlier. Kit's $39 per month entry price is more than double the $19.20 category average. Kit targets creators and solo entrepreneurs specifically — the Creator Network and Commerce features are unique to the platform. For that specific audience, the premium makes strategic sense. For general-purpose email marketing, Kit's cost per feature is hard to justify when Brevo and ActiveCampaign deliver comparable automation capabilities at a third of the price.

Mailchimp at $2.17 per feature occupies a unique position. Mailchimp is the most recognized email marketing brand globally, with 11 million users and 300+ integrations. Mailchimp's $13 per month Essentials plan includes Email Campaigns, Automation, Landing Pages, Audience Segmentation, A/B Testing, and Analytics. The cost per feature is low, but Mailchimp's scaling costs rise faster than competitors — the same plan jumps to $45 per month at 2,500 contacts and $100 per month at 10,000 contacts. At 10,000 contacts, Mailchimp's cost per feature rises to $16.67 — comparable to premium SEO tools.

Klaviyo at $3.33 per feature holds the middle position, but Klaviyo's true cost often exceeds the entry price. Klaviyo's pricing scales with contact list size, and the platform shifted to billing all active profiles (not just recently emailed ones) in February 2025. At 5,000 contacts, Klaviyo costs $100 per month — pushing cost per feature to $16.67, more than 5x the entry-level figure. Teams with growing lists should calculate cost per feature at their projected contact count, not just the $20 entry price.

The email category illustrates a critical insight about cost per feature: entry-level pricing and at-scale pricing can tell entirely different stories. The following table shows how cost per feature shifts as contact lists grow — a comparison that no email tool's pricing page makes easy to calculate.

Brevo remains the most affordable at scale (scaling more slowly than Mailchimp or Klaviyo), while Kit's flat pricing at $39 per month becomes relatively cheaper as contact counts grow past 5,000. Klaviyo shows the steepest scaling curve — a team that starts at $3.33 per feature with 500 contacts may find themselves paying $25.00 per feature at 10,000 contacts, making Klaviyo more expensive per feature than Semrush's SEO suite. Buyers should model cost per feature at their 12-month projected list size, not their current subscriber count.

For e-commerce teams, Klaviyo's $3.33 per feature buys predictive analytics and deep Shopify integration that no other email tool matches at this price tier. Klaviyo's pricing scales with contact growth, so e-commerce teams should model cost per feature at their projected list size.

For budget-conscious small businesses, Brevo at $1.50 per feature is the safest starting point — the best AI email marketing tools roundup covers how Brevo stacks up on features that the cost per feature metric does not capture.

For creators and solo entrepreneurs, Kit at $6.50 per feature is expensive by category standards, but Kit's Creator Network and built-in commerce tools serve a specific audience that no other email platform targets as directly. The cost per feature premium is a niche tax, not a value deficiency.

What Makes Analytics the Only Free Category in the Index?

All four analytics tools — Google Analytics, Mixpanel, Amplitude, and Hotjar — offer free tiers that include six core features at full depth. No other category in the index delivers this. Analytics vendors monetize through usage limits and enterprise upgrades rather than gating core capabilities behind a paywall.

Google Analytics is the anchor of the analytics category. Google Analytics has been free since its launch in 2005, and the GA4 free tier has no data collection limits for standard usage. The platform's business model subsidizes analytics with advertising revenue — Google profits when businesses understand their traffic well enough to spend on Google Ads. That dynamic makes Google Analytics permanently free at a feature depth that would cost $50,000+ per year from GA4 360.

Mixpanel and Amplitude follow a freemium model that gates volume rather than features. Mixpanel's free tier includes 1 million events per month — enough for most small-to-mid-market marketing teams. Amplitude's free plan offers similarly generous limits. Both platforms monetize when teams exceed event volumes or need advanced governance, SSO, and custom data retention. The core analytics features that marketing teams use daily remain free.

Hotjar's free tier is the most restrictive of the four. Hotjar limits free users to 35 daily sessions for heatmaps and recordings. The feature set is complete at the free tier — heatmaps, recordings, surveys, funnels, user interviews, and form analysis all work — but the data volume cap means high-traffic sites hit the wall quickly.

When analytics platforms do charge, the cost per feature remains competitive. Mixpanel Growth at $28 per month delivers $4.67 per feature. Amplitude Plus at $49 per month delivers $8.17 per feature. Hotjar Plus at $39 per month delivers $6.50 per feature. Even at paid tiers, analytics tools remain cheaper per feature than the average SEO tool ($13.17) or content AI tool ($10.87). Analytics pricing is structurally lower than other categories regardless of whether the team stays on a free plan or upgrades.

The analytics category raises a question the index cannot answer on its own: why are analytics tools free when SEO tools — which also depend on large-scale data infrastructure — charge $13.17 per feature on average? The answer lies in business model structure. Google subsidizes Analytics with advertising revenue. Mixpanel and Amplitude are venture-funded platforms (Amplitude went public in 2021; Mixpanel raised $200 million total) that use free tiers as growth engines for enterprise sales. Hotjar follows the same freemium playbook. SEO tools, by contrast, sell directly to end users and cannot subsidize free access through adjacent revenue streams.

The takeaway for buyers: Analytics tools should never be the budget line item that constrains a marketing stack. The cost per feature for analytics is zero at entry level. Teams that pay for Mixpanel Growth ($28/mo) or Amplitude Plus ($49/mo) are paying for volume and governance, not features — and those paid tiers still rank among the cheapest in the index at approximately $4.67 to $8.17 per feature.

For product teams evaluating whether to upgrade from free to paid analytics, the decision should hinge on event volume and data retention needs — not on feature access. The free tiers already include the full analysis toolkit.

How Do CRM Tools Stack Up on Cost Per Feature?

CRM tools cluster tightly between $2.33 and $4.17 per feature for paid entry tiers — the narrowest price spread of any paid category in the index. Pipedrive and Zoho CRM tie at $2.33 per feature, while Salesforce tops the category at $4.17.

HubSpot offers a free CRM tier with contact management, a basic sales pipeline, and limited reporting. The free tier covers the feature labels tracked in the registry, but professional marketing automation, advanced reporting, and full integration capabilities require the $20 per seat Starter plan. The cost per feature index uses the Starter tier because the free plan's restrictions make a six-feature comparison misleading.

Pipedrive at $2.33 per feature is the CRM value leader for sales-focused teams. Pipedrive's $14 per user Lite plan includes Visual Pipeline, Activity Tracking, Email Integration, Automation, Reporting, and a Mobile App. The platform is intentionally narrow — Pipedrive does not include marketing automation or service features — but that focus delivers the lowest CRM cost per feature in the index.

Salesforce at $4.17 per feature anchors the premium end. Salesforce Starter includes Contact Management, Sales Cloud, Service Cloud, Marketing Cloud, AppExchange access, and Einstein AI features. The $25 per user per month price is higher than Pipedrive or Zoho, but Salesforce's feature depth within each capability area — particularly AppExchange (7,000+ integrations) and Einstein AI — is significantly greater. The HubSpot vs Salesforce comparison details how feature depth varies between these two platforms even when the feature count appears identical.

Zoho CRM matches Pipedrive at $2.33 per feature. Zoho's advantage is ecosystem breadth — the Zoho suite includes 45+ business applications that integrate natively with CRM. Zoho also offers a free tier for up to three users, making the entry barrier even lower for very small teams. For teams already invested in the Zoho ecosystem, the cost per feature advantage compounds.

For small businesses under 10 users, Pipedrive or Zoho CRM at $2.33 per feature delivers core CRM functionality at less than half the per-feature cost of HubSpot or Salesforce.

For growing companies that need marketing plus sales, HubSpot's $3.33 per feature premium buys marketing automation and a content management system that Pipedrive and Zoho do not include at any tier.

For enterprise sales organizations, Salesforce's $4.17 per feature is the highest in the CRM category but also the cheapest entry to the Salesforce ecosystem. The real cost of Salesforce is not the Starter plan — the majority of Salesforce customers are on Professional ($80/user/mo) or Enterprise ($165/user/mo) tiers that unlock the platform's full customization, reporting, and AI capabilities. At $165 per user per month, cost per feature jumps to $27.50 — higher than Semrush. Enterprise CRM buyers should model cost per feature at their target tier, not the entry price.

The CRM category also demonstrates how per-user pricing complicates cost per feature comparisons. A 5-person sales team on Pipedrive Lite pays $70 per month total — $11.67 per feature for the team. The same team on Salesforce Starter pays $125 per month — $20.83 per feature. Per-user pricing means cost per feature scales linearly with headcount, making CRM the only category where team size directly multiplies the index number.

One CRM-specific consideration that the index does not capture: HubSpot's free tier has created a competitive dynamic where CRM vendors must justify their paid tiers against a genuinely capable free alternative. Pipedrive and Zoho compete at $14 per user per month not because that is the natural market price for CRM software, but because HubSpot Free sets a $0 floor that compresses the entire category's pricing. The CRM cost per feature numbers ($2.33 to $4.17) are among the lowest in the index partly because of this competitive pressure from HubSpot's free offering.

What Does the Cross-Category Comparison Reveal?

The cross-category data reveals a clear hierarchy: analytics is free, email and CRM tools compete below $5 per feature, and SEO and content AI tools command premiums above $10. The cost gap between categories is wider than the gap within most individual categories.

The first insight: category choice drives cost per feature more than tool choice within a category. The cheapest SEO tool (Ahrefs at $4.83 per feature) costs more than the average email tool ($3.20) or the average CRM tool ($3.04). A marketing team that shifts $100 per month from an expensive SEO tool to a cheaper alternative saves less than a team that audits whether an entire tool category is pulling its weight.

The second insight: email and CRM pricing has converged. Email tools average $3.20 per feature, CRM tools average $3.04. Both categories deliver six features for under $5 each. This convergence reflects the maturity of both categories — email marketing and CRM have been competitive markets for over two decades, which compresses margins and pushes prices toward commodity levels.

The third insight: SEO and content AI pricing reflects platform complexity. SEO tools require continuous data infrastructure — crawling the web, building backlink indices, tracking keyword rankings across millions of queries. Content AI tools carry LLM inference costs. Both categories have higher cost bases than email or CRM, which partially explains the per-feature premiums. SaaS inflation data from Vertice shows that AI-feature tools carry a 20-40% pricing premium above base tiers, confirming that AI capabilities push prices higher across categories.

The fourth insight: free tiers distort category averages. Analytics, CRM (HubSpot), and Content AI (MarketMuse) all include tools with $0 entry tiers. Including free tiers in category averages would drop analytics to $0, CRM to $2.28, and Content AI to $8.69 — but those averages would overstate the value available to teams that need full-depth feature access. The index uses paid entry tiers for this reason.

The fifth insight: feature overlap across categories creates hidden redundancy. ActiveCampaign includes CRM and email marketing in a single tool at $2.50 per feature. HubSpot bundles marketing automation, CRM, and content management at $3.33 per feature. Teams that buy a standalone CRM plus a standalone email tool may be paying for feature overlap — contact management, segmentation, and basic automation appear in both categories. Before adding a new tool, buyers should audit whether an existing tool already covers the capability at a lower total cost per feature.

The sixth insight: the excluded ad platforms follow a fundamentally different economic model. Google Ads, Meta Ads, Microsoft Advertising, and AdRoll all deliver their full feature sets — audience targeting, creative tools, bidding algorithms, attribution — at any spend level. An advertiser spending $100 per month on Google Ads has access to the same Performance Max, Smart Bidding, and Shopping Ads features as an advertiser spending $100,000 per month. The cost per feature for ad platforms is effectively zero from a subscription perspective, but the actual cost is embedded in the media spend itself. This makes ad platforms incomparable to subscription tools on a per-feature basis, which is why the index excludes them — but the distinction matters for teams allocating budget between subscription tools and ad spend.

No Varnish adoption data shows that 62% of marketers plan to increase AI tool spending in the next 12 months. The Cost Per Feature Index provides a framework for evaluating whether that increased spend buys more capability or just more expensive capability. Combined with the Zylo finding that 36% of enterprise software licenses go unused, the index suggests that many teams would get more value from auditing their existing stack than from adding new tools.

Where is cost per feature likely to move next?

Content AI tools face the most downward pricing pressure. LLM inference costs are dropping 30-50% year-over-year as model providers compete, which means AI writing tools built on top of those APIs should see their cost basis shrink. Copy.ai and Writesonic have already adjusted pricing downward in 2026 — expect further compression in this category by Q1 2027. SEO tools face the least pricing pressure: data infrastructure costs are sticky, switching costs are high, and the top two vendors (Semrush and Ahrefs) show no signs of competing on price. Email and CRM tools are mature enough that cost per feature is unlikely to shift significantly in either direction — both categories have reached pricing equilibrium.

What Doesn't the Cost Per Feature Index Tell You?

The index measures breadth of capability per dollar, not depth, quality, or scaling costs. A $4.83 feature at Ahrefs is not the same depth as a $23.17 feature at Semrush, even when both features share the same label. The index is a starting filter, not a final buying decision.

Every limitation listed below represents a dimension that matters for tool selection but falls outside what a single cost-efficiency metric can capture.

Feature depth varies dramatically

Semrush's Keyword Research feature includes 26 billion keywords, historical trend data, keyword clustering, and SERP feature analysis. Mangools' Keyword Research feature, at the same $4.83 per feature cost as Ahrefs, includes a smaller keyword database and fewer advanced filters. The cost per feature is identical, but the depth of that feature is not. Buyers should read the full platform reviews before using cost per feature as a primary decision driver.

Scaling costs are not captured

CRM tools are priced per user. A CRM that costs $2.33 per feature for one user costs $23.30 per feature for a 10-person sales team — suddenly comparable to Semrush. Email tools scale with contact list size. Klaviyo's $20 per month entry tier covers 250-500 contacts, but the same tool costs $100 per month at 5,000 contacts and $350 per month at 30,000 contacts. The per-feature cost at scale can be three to five times the entry-level number shown in this index.

Integration and ecosystem value is invisible

HubSpot's $3.33 per feature does not capture the value of the HubSpot ecosystem — marketing, sales, service, and CMS hubs that share a single contact database. Zoho CRM's $2.33 per feature does not reflect the 45+ Zoho applications that integrate natively. Ecosystem value is real but impossible to quantify per feature.

Free tiers have hidden constraints

Hotjar's free tier includes all six tracked features but limits heatmap and recording sessions to 35 per day. HubSpot's free CRM includes contact management and pipeline tools but caps contacts and removes HubSpot branding only at paid tiers. A $0 cost per feature is real only if the free tier's limitations do not constrain the team's workflow.

Annual vs monthly pricing changes the math

Most tools in the index offer annual billing discounts of 15-25%. Semrush Pro drops from $139.95/month to $117.33/month on an annual plan — changing cost per feature from $23.17 to $19.56. Ahrefs Starter drops from $29/month to roughly $24/month annually, moving cost per feature from $4.83 to $4.00. The index uses monthly pricing because monthly plans are the universal baseline, but teams on annual plans effectively operate at a lower cost per feature. The ranking order does not change on annual pricing — every tool discounts by a similar percentage — but the absolute numbers drop by roughly 15-20% across the board.

Support quality and onboarding are not captured

A $4.83 per feature tool with no onboarding support and email-only customer service is a different experience from a $23.17 per feature tool with dedicated account management, live training sessions, and phone support. Semrush Pro includes access to Semrush Academy and priority support. Mangools at the same $4.83 cost per feature as Ahrefs does not include the same depth of community resources, documentation, or agency-tier support. Buyers who factor in total cost of ownership — including the internal labor cost of troubleshooting without vendor support — will arrive at a different effective cost per feature than the list-price calculation shown here.

Feature utilization matters more than feature availability

Gartner's finding that marketers use only 49% of their tool capabilities means the average team is paying double the effective cost per feature shown in this index. A tool with six features at $8.17 each becomes $16.34 per feature if the team only uses three. The AI Tool ROI Calculator can help teams model the difference between list-price cost per feature and utilization-adjusted cost per feature.

Migration costs create switching friction

The cost per feature index makes tool switching look simple — drop the $23.17 tool, pick up the $4.83 tool, save $18.34 per feature. In practice, switching tools carries real costs. Email platforms require migrating subscriber lists, automation workflows, and template libraries. CRM switches involve exporting contact records, deal histories, and custom fields. SEO tool switches mean rebuilding tracked keyword lists, project configurations, and historical baselines. A team that saves $200 per month in subscription costs but loses two weeks of productivity during migration needs roughly three months to break even. The cost per feature gap must be large enough to justify that transition cost. As a general rule, the savings need to exceed three months of subscription cost to justify the switching overhead. A $5 per feature savings ($30 per month across six features) requires roughly $90 in transition costs or less to break even within a quarter — feasible for most switches. A $2 per feature savings ($12 per month) requires near-zero transition costs to justify, which is rarely achievable in practice.

Which Marketing Tool Should You Buy Based on Cost Per Feature?

Cost per feature is one input in a buying decision, not the complete decision. A solo marketer optimizing for budget should weight cost per feature heavily. An enterprise team optimizing for depth should weight capability limits, integrations, and support quality instead.

The index gives every buyer a common starting metric — what happens next depends on the buyer's priorities, team size, and growth trajectory.

The right tool depends on the buyer. Here is how to apply the index to three common purchasing scenarios — and how to avoid the most common cost per feature trap.

The most common trap: choosing the lowest cost per feature option in every category without considering how the tools interact. A marketing stack is not five independent tools — it is an integrated workflow where data needs to flow between email, CRM, analytics, and content tools. Choosing the cheapest tool in each category can create integration gaps that cost more in manual workarounds than the subscription savings deliver.

Solo marketers and freelancers should treat cost per feature as a primary filter. Solo buyers typically use all features in their tool stack because they cannot afford redundancy. Brevo ($1.50 per feature) for email, Ahrefs or Mangools ($4.83 per feature) for SEO, and Copy.ai ($4.83 per feature) for content AI builds a three-tool stack at $10.16 per feature average — less than half the cost of choosing mid-tier options in each category. Google Analytics at $0 per feature rounds out the stack with no additional cost. The solo stack works because a single user does not need cross-tool integrations as heavily as a team — one person can manually bridge the gap between tools.

Mid-market teams (5-20 people) should use cost per feature as a screening metric, then evaluate feature depth and collaboration tools. ActiveCampaign ($2.50 per feature) for email and Pipedrive ($2.33 per feature) for CRM deliver strong value per feature and include collaboration features (shared pipelines, team permissions) that solo tools lack. For SEO, the choice between Ahrefs ($4.83) and Semrush ($23.17) depends entirely on whether the team needs Semrush's deeper PPC tools and higher usage limits — the 4.8x per-feature premium is justified for teams that use the full platform.

Enterprise buyers should deprioritize cost per feature relative to scalability, security, and ecosystem fit. Salesforce at $4.17 per feature looks expensive next to Pipedrive at $2.33, but Salesforce's AppExchange, enterprise SSO, and Einstein AI features create value that a per-feature metric cannot capture. Enterprise teams should still use the index to identify categories where they may be overspending — particularly if they are paying SEO-tier prices ($13+ per feature) for capabilities available at email-tier prices ($3 per feature) from a different tool. The enterprise opportunity is not switching to cheaper tools within a category — it is questioning whether every category in the stack earns its cost per feature allocation relative to the business outcomes each category delivers.

The stack math

A complete marketing stack using the cheapest tools in each category costs:

That is $13.49 per feature across five tools — less than the cost of a single feature at Semrush. The total monthly subscription cost for this stack: $67 ($9 + $14 + $29 + $29 + $0 for Google Analytics). A single Semrush Pro subscription costs $139 per month — more than double the entire five-tool budget stack.

For mid-market teams, the stack math shifts. A mid-range stack using best-value tools optimized for collaboration looks different:

The mid-market stack costs $113 per month — still less than a single Semrush subscription — and includes collaboration features (HubSpot shared pipeline, ActiveCampaign team permissions) that the budget stack lacks. The cost per feature is $18.83 total across five tools, or $3.77 per feature per tool on average.

The quality, depth, and scaling characteristics of tools in both stacks vary, but the raw cost per feature math illustrates just how wide the pricing spectrum runs across marketing software.

How to run your own cost per feature audit

Any marketing team can calculate cost per feature for their current stack. The process takes less than 30 minutes and often surfaces surprising overspend.

Step 1: List every marketing tool your team pays for. Include per-user and per-seat subscriptions at the actual number of seats, not the minimum. Include tools billed annually — divide the annual cost by 12 to get the monthly figure.

Step 2: Count the features you actually use. Open each tool and list the features your team used in the past 30 days. Ignore features you have access to but never touch — Gartner's 49% utilization finding suggests that roughly half of your feature list will be inactive.

Step 3: Divide monthly cost by features used (not features available). This gives your utilization-adjusted cost per feature — the number that actually reflects what you are paying per capability. A tool with six features at $8.17 per feature becomes $16.34 per feature if your team only uses three.

Step 4: Compare your numbers to this index. If your utilization-adjusted cost per feature exceeds the index average for that category, your team is either underusing the tool or overpaying for capabilities that a cheaper alternative could deliver.

Step 5: Model the switch. Use the AI Tool ROI Calculator to estimate whether switching to a lower-cost-per-feature tool delivers net positive ROI after accounting for migration time, team retraining, and the productivity dip during transition.

Repeat this audit quarterly. SaaS vendors change pricing, your team's feature usage shifts, and new tools enter the market. The Cost Per Feature Index will be updated monthly to give you a current benchmark.

The single most actionable finding: If your team is paying more than $10 per feature for any tool in the email, CRM, or analytics categories, you are almost certainly overspending relative to what the market offers. The data shows that competitive alternatives in these three categories deliver comparable features at $0 to $4.17 per feature. Run the audit, find the gap, and decide whether the premium you are paying buys enough additional depth to justify the cost per feature delta.

Where Does This Data Come From?

• No Varnish Tool Registry — 28 marketing tools with standardized feature sets and July 2026 verified pricing, maintained by the No Varnish editorial team.
• Semrush Pricing — Pro plan at $139.95/month (rounded to $139 for index calculation).
• Ahrefs Pricing — Starter plan at $29/month.
• Brevo Pricing — Starter plan at $9/month.
• Jasper AI Pricing — Pro plan at $69/month.
• Klaviyo Pricing — Email plan starting at $20/month (251-500 contacts).
• HubSpot Pricing — Starter plan at $20/seat/month.
• Salesforce Pricing — Starter Suite at $25/user/month.
• Gartner Marketing Technology Survey — Martech utilization data (49% of capabilities used).
• Zylo 2026 SaaS Management Index — $19.8 million average annual SaaS waste figure and 36% unused license rate.
• Vertice SaaS Inflation Index — AI feature pricing premium data (20-40% above base tiers).

Where Can I Learn More?

The Cost Per Feature Index is one lens for evaluating marketing tools. These related resources provide complementary data — monthly pricing changes, adoption rates, ROI calculations, and category-specific recommendations — that round out the picture.

• AI Marketing Tool Pricing Index (June 2026) — Monthly pricing tracker showing price changes across 30+ tools, including mid-month corrections.
• AI Tool Adoption Rates Among Marketers (2026) — Survey data on which tools marketers actually use and which deliver measurable ROI.
• AI Tool ROI Calculator — Calculate whether a tool's cost per feature translates to positive return on investment for your team.
• Best Keyword Research Tools for Marketers in 2026 — Ranked picks across the SEO category, with current pricing and feature comparisons.
• Best AI Email Marketing Tools in 2026 — How the email tools that dominate this index compare on features beyond cost per feature.
• Ahrefs vs Semrush Comparison — The 4.8x cost per feature gap explained in full feature-by-feature detail.
• SEO Tools Category Hub — Complete guide to the most expensive category in the Cost Per Feature Index.