2026 Conversion Rate Optimization Benchmarks & Insights (8 Industries' Data)



Beyond averages and right calculations, if you’re here, it’s to see through the numbers and into the stakes that make each industry tick differently.
Context, friction, norms and persuasion — it all comes together to define benchmarks that businesses then try to measure up to.
But statistics can be blinding, unless the “big picture” of an industry is drawn alongside what works to sell and sell repeatedly. And some key questions raised that can then help leaders and marketers optimize in ways that are most beneficial to profit margins.
So, without delay, let’s get to understanding the why, how and what of conversion rate optimization statistics across 8 industries that are all set to grow in 2026.
We'll be covering:
2. Enterprise Software Marketplaces

It’s not a surprise in Software-as-a-Service firms that customer acquisition is tough — and actually becomes tougher when one shifts the focus to enterprise SaaS outfits.
While the visitor-to-lead conversions for small to mid-sized businesses stand at about 1.4%, for large enterprises, it drops sharply by 50% (so only about 0.7%).
The rest of the funnel for both kinds of SaaS companies seems to convert at a way higher rate. For example, smaller as well as larger enterprises see a conversion rate of about 40% between the MQL and SQL stages.
However, funnel benchmarks can and do vary within the SaaS industry, given which niche a brand is in. CRM enterprises, for example, see a visitor to lead conversion rate of 2%, while edtech companies see only 1.4%. On the other hand, edtech sees a much higher conversion rate in the lead to MQL stage at 46% compared to CRM, which only sees about 36%.
When it comes to marketing channels that drive conversions for SaaS, email marketing seems to do exponentially well at almost 17%. This is almost 4 times higher than PPC is able to contribute.
Even organic SEO does better, with the best conversion rates hovering at around 2.6% (whereas for PPC it is only 1.5%).
Benchmarking in SaaS is a completely different beast. Because unlike an industry like eCommerce, where the funnel path invariably moves from add to cart to checkout, in SaaS, funnels splinter way more. The splintering is often on the lines of customer maturity, buyer type and pricing model.
Put simply, SaaS funnels pack in more layers compared to retail funnels. For example, between a visit and plan activation, signing up is an unavoidable stage. And between activation and paying up, there’s often a trial involved.
What makes it tougher is that each of the steps don’t just have different benchmarks, but also benchmarks that vary by definition (based on which company or niche we’re talking about).
👉 Quicken Time to Value between steps — a significant way of handling churn that happens because of delayed outcomes is to set up key personas. Use this information then to identify a core KPI and then create a 10 to 20 minute setup for each persona highlighting only the main KPI they care about. Similarly, creating onboarding templates that don’t just map to personas but roles as well, can shorten steps.
👉 Use privacy & security as enablers and trust-builders — auditability, controls, certifications and other vital security information is key to great UX in SaaS. So, setting up a security hub with downloadable certifications and architecture diagrams can considerably reduce friction.
👉 Tailor product experiences based on niche / size / company type — get an AI assistant that can suggest templates and show a roadmap that’ll lead the customer to the most ideal solution. Also use sessions signals, IP or data from form answers to personalize landing pages and pricing.

Sales in enterprise software using hyperscale cloud marketplaces hit a record $30 billion in 2024. And if we are to believe projections, they’ll reach $163 billion by 2030.
A CAGR of a little over 29% is why this industry has made it to this industry-wide conversion rate optimization study.
This is also the reason why 44% of software sellers expect to transact more on cloud marketplaces and achieve at least 10% of their revenue.
Similarly, a growing number of independent software vendors are reaching and exceeding $1billion of annual sales by using enterprise software marketplaces like Google Cloud and AWS.
Though vendors guard their marketplace conversion data, it is clear that this is an industry space that’ll continue to grow. The primary reason is that marketplaces have shrunken the traditional 6 to 9 month sales cycles.
So, while there’s enough debate around how “discovery” through listings enables conversions, it’s really a friction-free onboarding and pre-handling at several levels that make this possible.
The other feature that will make Enterprise Software Marketplaces so attractive for businesses to sell software in 2026, is the sheer number of subscriptions. AWS, for example, has about 2.5 million active subscriptions, most of which are also larger deals. In fact, according to Forrester Research, the average contract value on AWS is $300, 000.
👉 Optimize listings for quicker procurement — this includes offering complete pricing transparency be it for public SKUs or specific guidelines for private offers. Buyers also need to be able to access compliance and security documentation on SOC2, HIPAA and GDPR readily. Also, pre-build pilot SKUs with 30 or 60 day free trial commitments, so that buyers can start evaluating your products in hours.
👉 Feature marketplace-specific messaging — this is key to establishing trust with software buyers who’re always assessing your familiarity with the cloud partner ecosystem. So, while call-outs like “AWS Qualified Software” may seem obvious, to many buyers this becomes a key decision-making reason.
👉 Optimize specifically for private offers — focusing especially on custom pricing, choice around custom bundles and volume discounts and faster offer turnarounds can help bring in larger marketplace offers.
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As far as non-retail healthcare goes, 75% of people search for doctors online to research and seek appointments.
Whereas in 2015, online appointment bookings stood at a mere 2.4%, in the more recent years, they’ve gone up to almost 32%.
For 2026, this will prove to be a massive opportunity, especially if as a provider, you’re able to chase optimizations that clearly impact UX.
For example, A/B testing CTAs and forms have shown potential upticks in conversion of up to 500%.
Unlike many other industries, acquiring new customers in the non-retail healthcare space can be 6 to 7 times tougher than retaining ongoing ones. In 2026, this will impact how much importance businesses in this industry lay on retention rates. The average retention rates typically vary between 45% and 52%, but with tighter budgets, on-site conversion optimization is more critical than ever before.
This is an industry where users are looking for an experience that lets them heave a sigh of relief, especially when they’ve waited for months to ascertain a medical condition. This makes last-minute friction an absolute conversion killer and users become quick to switch a provider if they’re not happy.
👉 Offer clear specialist information — it’s not just crucial that users find the right doctors but also get to know which exact conditions they treat. So, landing pages with specialists need to carry conditions that they are experts at as well as a short explainer on “when to see the doc”.
👉 Ace filtering & sorting across the website — this makes it easier for patients and caregivers to check availability and info on pricing and insurance. Apart from optimizing filters on symptoms and immediate visits, it’s also necessary that providers incorporate filtering that states “next-available visit” options for specialists. Gender and language-based filtering options can also take up conversions significantly.
👉 Introduce helpful video content — getting to see a specialist speak creates more conversion upticks than we’d imagine, because often users begin to trust this over a list of credentials. Keeping videos short and especially covering “how I approach patient care” can significantly increase trust.
Further Reading: eCommerce Video Marketing Ideas That Actually Improve Sales

The overall average real estate conversion rate seems to stand at about 4.7%.
Out of this, organic search contributes to about 3.2% of conversions.
And, paid search brings in 1.5% while email marketing covers about 1.4%.
Even then, some companies cite conversions as low as 0.3% — and while one would think it’s just the pricing, other contributing factors include poor traffic quality and sub-par UX.
However, given that the industry heavily relies on the trust factor, most deals close over phone conversations.
Almost 62% of organic traffic admits that they’d bank on a phone conversation to buy.
In fact, phone conversations lead to almost 38% of all real estate conversions.
Which makes customer support and how it’s highlighted on real estate websites of key consideration.
On the other hand, customer referrals are huge in this space — making it imperative for real estate businesses to run websites that are able to remove friction from the overall conversion funnel.
Referred real estate clients show a customer lifetime value of 25% more.
Unlike several other industries, leads that come to real estate websites are essentially “cold”.
And that means, in 2026, businesses will have to keep their eyes peeled on lead source quality.
When we were in talks with a real estate brokerage firm to make their funnel more sticky through tactical CRO, they told us that almost 55% of their referred leads booked site visits.
In short, optimize for high-intent, because most visitors have already filtered options before landing on a specific real estate website.
Combining this with high-quality support and follow-ups will be crucial for conversions in 2026.
👉 Create clear call-back promises — this is tactical CRO that will help high-intent buyers know that they can confidently look at quicker turn-arounds, which isn’t realistic when they have to fill up forms. Highlighting microcopy like “We’ll call you back within 30 minutes of interest” sets expectations instantly. Additionally, introduce live chat radio buttons that help buyers filter budget, locality, urgency etc.
👉 Amp up virtual tours to highlight more unit-level details — a quick view of a 1550 square foot flat will hold much less relevance in 2026 than when the buyer finds out that the kitchen gets ample sunlight or that the flat faces the community garden, reducing noise exposure.
👉 Include a information panel — incorporate it as a combination of microcopy in a tool tip that lets the buyer see the payment breakdown, down payment, maintenance fees etc.

From tokenized assets to wider mobile banking adoption, more emerging trends in the banking & fintech space promise to make 2026 an exciting year.
Globally, on an average, 70% of consumers use at least one digital financial service.
And embedded finance will be bigger than ever before in the coming years — making conversions more possible and challenging across mobile sites and apps.
In the same breath, 48% of consumers in the banking & fintech market prefer instant customer support either in the form of human chat support or smart bots.
And reducing friction isn’t now just a goal for banking and fintech businesses — it’s also an expectation from consumers, 65% of whom are happy to participate in processes like biometric authentication so that the overall conversion experience is faster!
How quickly customers get onboarded while experiencing trust and credibility, will define the fate of banking & fintech businesses in 2026.
On the other hand, consistent UI & UX across devices will not only improve adoption but also retain customers who’ve already had a great experience.
Personalization backed by user consent will help close conversions faster, even as it sharpens metrics like customer lifetime value and customer acquisition cost.
👉 Improve ease-of-entry through specific tweaks — this includes combining multiple steps within a single screen wherever possible, asking for additional documents only if absolutely necessary and using more “save & resume” prompts across devices so that buyers don’t lose the progress they’ve already made.
👉 Show completed actions explicitly — this is a big one because trust-related friction happens way too much across banking & fintech stores. So messaging like “Your transfer is protected” or “Your documents are encrypted” can be very reassuring.
👉 Create smarter behavioral nudges — since financial decisions come with their own terrain of stress, strategically placing nudges around progress (“You’re 80% there — we just need to verify your documents”) and removing friction (“Auto-capture will adjust lighting and angle — no retakes needed”) impact more than businesses realize.
Further Reading: eCommerce Behavioral Segmentation Examples For 2025

Compared to many other industries, insurance clocks better conversion rates. As of 2025, its media conversion rate is a little over 18%, whereas the rest of the financial sector stands at a bit more than 8%.
Paid, high-intent traffic converts really well for this industry and the proof is in the numbers. While paid search shows a median conversion rate of 10.1%, paid social contributes about 9.3%.
Google Ads seems to have the highest impact on insurance industry conversions and are able to convert over 54% of visitors.
Social media channels contribute significantly to the insurance industry’s conversion rates. While Instagram shows a median conversion rate of 15.5%, TikTok converts at 10.8% and FB at 10.1%.
In terms of tech, even as the industry incorporates more AI and mobile-first user experiences, advanced personalization comes to be increasingly crucial — in fact, 72% of customers expect while considering financial products like insurance.
More insurance businesses are seeing meaning in creating contextual relevance through policy bundling and faster risk segmentation, depending on who’s buying.
From risk profiling to setting prices and assessing regulatory compliances, AI can support tasks, which wasn’t possible ever before. But with this movement, insurance businesses will need to put extra effort in creating language and highlighting terms that feel trustworthy.
A key factor here for insurers would be to see which domains they’ll first integrate into, without affecting perceptions and reputation drastically.
👉 Place relevant insurance offers at the most high intent junctures — for example, when a buyer enters the age of their vehicle, if you can show them a “depreciation waiver add-on”, the conversion becomes likelier. Similarly, if a buyer is adding more than X number of dependents to their profile, you could suggest a policy upgrade.
👉 Treat claims as a conversion lever — this includes using AI more actively to automate up to 80% of routine claims, speed up claims tracking and trigger post-resolution upsells wherever most relevant (“Your device was replaced. Would you like accidental-loss protection for $50 / month?”)
👉 Show coverage based on micro-behaviors — let factors like device stacking, commute distance and travel frequency influence which plans you show to buyers (smart bundles will be big in insurance in 2026) instead of monolithic policy trees.

If we go by projections, the global e-learning market is all set to reach almost $337 billion by 2026.
The industry has been growing at a CAGR of 14.13%.
The baseline conversion rate of this industry isn’t as high, hovering between 2% and 3%.
Currently, 77% of the industry’s growth comes from self-paced learning models. And even in terms of conversion optimization, funneling these better according to intent, discovery and progress will help businesses retain customers better.
On the other hand, 60% of educators already use AI for their course material and delivery — which will further go up in 2026.
Similarly, device adoption is high among edtech students, research pointing out that 56% of college e-learning students complete their coursework over a tablet or mobile.
This further suggests that mobile optimization and in-app feature optimization will gain precedence in the coming years as far as edtech conversions go.
Yet again, AI and machine learning will enter the edtech conversion & sales picture more considerably so that course offerings are precise.
Key edtech segmentation in 2026 will track academic performance, course preferences as well as the different personas that actually look at course offerings.
Intent-level segmentation will also see a rise in the coming years even as buyers shift between hobbies, career-driven learning and employer-mandated courses.
👉 Introduce adaptive onboarding through AI — this will help you create paths that change dynamically to adjust to the learner’s goal, preferred learning style, proficiency etc. reducing time between activation, trial and finally, conversion.
👉 Show clear outcomes on course landing pages — apart from knowing why the course is valuable, learners have to know what’s in it for them, so including verified learner progress stats, employer acceptance badges and salary uplifts will be critical.
👉 Tailor nudges based on first three sessions — for example, notice what action they’re attempting on session 1 (is it filling a quiz? Watching a video?), how long session 2 runs for and finally, see if they move across a learning threshold in session 3.
Further Reading: 29 Best Examples of Nudge Marketing in eCommerce

The hospitality & travel industry see varying conversion rates, depending upon which platforms users are using to book. But they typically average between 2.8% and 4.1%.
Direct hotel sites seem to convert better than online travel agencies like Expedia and Booking.com. While the former converts at about 3.8%, the latter hover between 2.9% & 3.2%.
On the other hand, UX changes seem to have a relevant impact on conversions, driving them up by 30% in some instances. Urgency nudges also seem to have a way of making users book faster, with reservations sometimes going up by 20% because of them.
When it comes to hospitality & travel CRO statistics, one can’t also overlook the fact that high-resolution images can convert higher by almost 15%.
This isn’t so much a surprise because Booking’s own 2025 research has led the large OTA to conclude that 53% of travelers are now aware of tourism impact on different geographies.
In 2026, this will mean hotels and homestays with eco certifications are likely to convert better. At a CRO strategy level, this means businesses will have to prioritize highlighting such information with enough transparency & credibility at points of choice.
Similarly, bundling locally sourced experiences or products with the original booking will positively impact bookings.
👉 Optimize mobile bookings for interruptions — maintain a “we saved your last search” banner and show it when visitors resume their search. Also, auto-restore dates, criteria, travelers etc. quickly.
👉 Pay extra attention on framing price perceptions — feature clear pricing breakdowns including taxes, additional energy-use charges etc. and offer microcopy reassurances at points of decision (like “No hidden pricing surprises at checkout” above or below the product page CTA).
👉 Pre-build bundles based on intent & show them dynamically — this can reduce cognitive load considerably, especially when you issue better prices on such options. Also, naming the bundled experiences after higher paying segments can help target the right people (something like “Remote Work Eco Weekend Experience”).
Though every industry & niche will have to serve their shoppers and customers differently in 2026, there are certain key tactics that will run through them all.
👉 More context-aware experiences — from tailored, outcome-focused messaging on high-intent landing pages to predictive recommendations within demos and portal flows, buyers will convert only when businesses are able to serve them exactly where they are at.
👉 Target only the top account tiers — identify segments that have the highest intent (look at markers like browsing through multiple plans or past purchases that have included volume) and set up separate landing pages for them, featuring relevant case studies, calls-to-action etc.
👉 Create more “value moments” along the funnel — across industries, buyers finding their “aha” moments within the first 5 minutes will become critical to overall conversion success. This will require support from quicker human follow-ups as well.
👉 Trigger short conversational qualifiers — it’s time for long lead forms to fly out that window, and have an AI assistant pull all the relevant data to create next steps that buyers will resonate with instantly.
Here are the trends that will influence any and all conversion optimizations that B2B outfits do in 2026 and beyond:
👉 A/B testing powered by AI — this will make way for faster learning cycles even as the velocity of tests will improve & increase. Quicker insights on core conversion events like demos and quotes will be available as a result. Shorter testing lifecycles will also invariably mean shorter sales lifecycles.
👉 Optimizing for account-level conversions — a lesser focus on new leads and greater focus on high-intent accounts. The ability to treat each “top” account as a “micro market” through bespoke landing pages, content and user flows will result in better customer retention.
👉 More use of conversational marketing tools — from quality leads to routing leads to the appropriate pages or resources, AI assistants will significantly reduce buyer friction especially for those industries trapped in longer sales lifecycles.
Across industries, conversion rate optimization will strategically leverage what's working and exponentially improve what's not.
So that UX stays seamless and frictionless.
And this is where Convertcart comes into the picture.
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