85+ Marketing Automation ROI Statistics for 2026: Revenue, Payback and Adoption Data

Marketing automation returns $5.44 for every $1 spent over three years, and 76% of companies say AI-driven automation lifts their overall marketing ROI, according to the most recent Salesforce and Nucleus Research data.

Those two figures anchor a much bigger picture: how fast that return arrives, which channels produce it, and what stops teams from reaching it at all.

This page pulls together the current, sourced marketing automation ROI statistics so you can see where the real returns come from and where the risk sits.

Quick answer: Marketing automation delivers an average $5.44 return for every $1 spent over three years, with most companies reaching payback in under six months (Nucleus Research), while a 2023 Forrester study of Salesforce Marketing Cloud customers found a 299% three-year ROI.

Key stats at a glance

$5.44 returned for every $1 spent on marketing automation over three years (Nucleus Research, 2021)
299% three-year ROI from Salesforce Marketing Cloud customers (Forrester Consulting, 2023)
30x more revenue per recipient from automated email flows than one-off campaigns (Klaviyo, 2025)
$15.58 billion projected global market size by 2030, up from $6.65 billion in 2024 (Grand View Research, 2025)
75% of B2B marketers say at least 10% of their lead data is inaccurate or outdated (Integrate and Demand Metric, 2025)

Marketing Automation and AI Adoption Statistics

Adoption of automation itself is no longer the interesting question. What marketers actually turn on inside their platforms, especially AI features, is where the current data is concentrated.

63% of marketers are already using generative AI in their marketing work, and another 27% are evaluating it for the next six months (Jasper, State of AI in Marketing 2025).
76% of marketers use at least one form of AI, such as predictive, generative, or agentic AI, inside their marketing stack (Salesforce, State of Marketing, 10th edition, 2026).
Only 13% of marketers currently use agentic AI inside their automation workflows (Salesforce, State of Marketing, 10th edition, 2026).
82% of marketers who use or plan to use AI agents expect a major or moderate improvement in ROI as a result (Salesforce, State of Marketing, 10th edition, 2026).
High-performing marketing teams were 2.5 times more likely than underperforming teams to have fully implemented AI, at 42% versus 17% (Salesforce, State of Marketing, 9th edition, fielded February to March 2024).
98% of organizations plan to maintain or increase their investment in AI and automation tools in 2025 (HubSpot, 2025 AI Trends for Marketers Report, survey of 1,500+ global marketers).
Only 51% of employees say they are eager to use AI and automation in their roles, even as 98% of their organizations plan to invest more (HubSpot, 2025 AI Trends for Marketers Report).
74% of marketers say AI is critically or very important to their marketing success over the next 12 months, up 8 percentage points from 2024 (Marketing AI Institute, State of Marketing AI Report 2025, survey of nearly 1,900 marketers and business leaders).
40% of marketers describe themselves as still in the experimentation phase with AI, actively testing tools rather than running them at scale (Marketing AI Institute, State of Marketing AI Report 2025).

Adoption numbers alone do not explain ROI. A team that turned on AI features last quarter and a team running mature agentic workflows are both counted as "using AI," but the 82% figure above shows most of that group is still betting on future returns rather than banking realized ones.

Marketing Automation Market Size and Growth Statistics

Three independent research firms track the size of the marketing automation market, and their numbers disagree by tens of billions of dollars because they scope the market differently. That spread is worth showing directly rather than picking one number.

The global marketing automation market was valued at $6.65 billion in 2024 (Grand View Research, 2025).
Grand View Research projects the market will reach $15.58 billion by 2030, a compound annual growth rate of 15.3% from 2025 to 2030.
MarketsandMarkets values the market at $47.02 billion in 2025, covering a broader set of offerings including campaign management, analytics, and content management (MarketsandMarkets, 2025).
MarketsandMarkets projects the market will reach $81.01 billion by 2030, a CAGR of 11.5%.
Mordor Intelligence puts 2025 marketing automation software revenue at $7.23 billion (Mordor Intelligence, Marketing Automation Software Market report, 2025 to 2030 forecast).
Mordor Intelligence projects the market will reach $18.36 billion by 2030, a CAGR of 12.9%.
Software accounted for 69.2% of total marketing automation software revenue in 2024, with services growing faster, at a projected 14.0% CAGR through 2030, as more companies pay for integration and governance work alongside the license (Mordor Intelligence, 2025).
Cloud subscriptions accounted for 66.3% of marketing automation software spending in 2024 and are growing at a 13.9% CAGR, as buyers prioritize flexibility and faster AI feature rollout over on-premise control (Mordor Intelligence, 2025).

Global marketing automation market size projections, by research firm

Source	Figure	Date	Scope or method note
Grand View Research	$6.65B (2024) rising to $15.58B (2030)	2025 report	Broad marketing automation solutions across email, social, deployment mode, and enterprise size
MarketsandMarkets	$47.02B (2025) rising to $81.01B (2030)	2025 report	Wider scope: includes campaign management, analytics and reporting, lead generation, and content management as separate offering categories
Mordor Intelligence	$7.23B (2025) rising to $18.36B (2030)	2025 report	Marketing automation software specifically, split by component, deployment type, and vertical

The three firms are not measuring the same thing. MarketsandMarkets bundles in analytics, reporting, and content management as core offering categories, which inflates its total relative to Grand View Research's narrower software definition.

When you see a market-size figure cited without a source, treat it as unverifiable, because the spread here is more than 6x depending on which firm's scope you use.

That said, the direction is not in dispute:data from Statista, which separately tracks worldwide marketing automation software revenue on its own multi-year forecast through 2031, shows the same steady upward trajectory across every year in its series, regardless of which firm's absolute figure you use as a baseline.

Marketing Automation ROI Statistics: Core Benchmarks

This is the number most people are actually looking for: what return does automation itself produce, independent of market size or adoption rate.

Marketing automation returns $5.44 for every $1 spent, on average, over the first three years post-deployment (Nucleus Research, published March 2021, based on a review of 16 ROI case studies published between 2016 and 2020). This remains the most cited automation ROI figure in the industry, though the underlying case studies predate 2021, so treat it as a long-run benchmark rather than a current-year measurement.
The payback period for that $5.44 return was under six months across the case studies Nucleus Research reviewed.
A Forrester Consulting Total Economic Impact study of five organizations using Salesforce Marketing Cloud found a composite three-year ROI of 299% (Forrester Consulting, commissioned by Salesforce, study published January 2023, updated September 2024).
The same Forrester study found those organizations drove more than $5 million in increased incremental revenue across channels over the three-year period.
Site conversion rates rose 60% by year three among the organizations Forrester studied.
Average order value increased 35% by year three in the same study.
Marketing automation adopters that deployed AI agents saw a 20% increase in ROI, according to Salesforce's most recent global marketing survey (Salesforce, State of Marketing, 10th edition, 2026).

ROI benchmark comparison across independent studies

Study	ROI figure	Time horizon	Study basis
Nucleus Research (2021)	$5.44 return per $1 spent (544%)	3 years	Review of 16 published ROI case studies, 2016 to 2020
Forrester Consulting for Salesforce Marketing Cloud (2023)	299% ROI	3 years	Composite of 5 customer interviews, Total Economic Impact methodology
Salesforce State of Marketing, 10th edition (2026)	20% ROI increase from AI agent deployment	Not specified	Survey of 4,450 marketing professionals across 26 countries

The gap between $5.44-per-dollar and 299% is not a contradiction, it is two different measurement approaches. Nucleus averaged results across many deployments and vendors; Forrester measured one specific platform's customers.

Neither number transfers cleanly to a different platform, team size, or industry, which is why the range matters more than either single figure.

Time-to-ROI and Payback Period Statistics

How fast the return shows up changes the internal case for automation as much as the size of the return itself.

Companies deploying marketing automation reached payback in under six months, based on the case studies Nucleus Research reviewed (Nucleus Research, 2021).
The Forrester Consulting study of Salesforce Marketing Cloud customers measured ROI over a three-year time horizon, the same window used across most vendor-commissioned Total Economic Impact studies (Forrester Consulting, 2023).
High-performing marketing teams using AI agents reclaimed an average of 8 hours per week, time that Salesforce's research ties directly to faster campaign iteration and, in turn, faster ROI realization (Salesforce, State of Marketing, 10th edition, 2026).
Only 49% of marketers currently measure the ROI of their AI investments at all, which limits how many organizations can even report a payback period (Jasper, State of AI in Marketing 2025, survey of 500+ marketers).
Another 22% of marketers who do not yet measure AI ROI plan to start in 2025, according to the same Jasper survey.

The practical implication is that fewer than half of marketing teams can currently answer "when did this pay for itself" with real data.

The payback-period statistics above come from a small number of formal studies precisely because most organizations are not tracking the number themselves.

Productivity and Cost-Reduction ROI Statistics

Part of the ROI case for automation is time saved rather than revenue generated. These figures separate the two.

Organizations using Salesforce Marketing Cloud saved 60% of the time previously spent building and running marketing campaigns (Forrester Consulting, 2023).
The same organizations reduced post-campaign reporting effort by 90% (Forrester Consulting, 2023).
High-performing teams using AI agents reclaim 8 hours per week on average (Salesforce, State of Marketing, 10th edition, 2026).
75% of B2B marketing operations professionals say at least 10% of their lead data is inaccurate, outdated, or non-compliant, which erodes the productivity gains automation is supposed to deliver (Integrate and Demand Metric, State of Marketing Data 2025 report, survey of 200+ senior marketing operations professionals, published July 2025).
More than 60% of marketing operations teams report that poor data quality disrupts lead handoffs to sales and slows sales productivity (Integrate and Demand Metric, 2025).
54% of marketers cite disconnected platforms as one of the biggest blockers to getting value from their marketing data (Acoustic and eMarketer, survey of 272 marketing professionals, fielded March 2025).

Cost and time savings compound differently than revenue. A 90% cut in reporting effort frees a marketer's calendar immediately, while the data-quality problems in the same research show why that freed-up time does not always translate into a bigger pipeline.

Email and Ecommerce Automation Revenue Statistics

Email remains the channel with the deepest, most current automation performance data, largely because platforms like Klaviyo and Omnisend publish benchmark reports built from billions of real sends.

Automated email flows generate up to 30 times more revenue per recipient than one-off email campaigns (Klaviyo, analysis of more than 325 billion emails sent on its platform, 2024 to 2025 benchmark data).
Standard email campaigns generate $0.11 in average revenue per recipient, compared with $3.65 for abandoned cart flows, the gap that produces the 30x figure above (Klaviyo, 2024 to 2025 benchmark data).
The average automated email flow achieves a 48.57% open rate across industries, compared with 37.93% for standard campaigns (Klaviyo, 2025 Email Marketing Benchmarks Report).
Top 10% of automated flow performers reach a 65.74% open rate (Klaviyo, 2025 Email Marketing Benchmarks Report).
The average automated flow click-through rate is 4.67%, compared with 1.29% for standard campaigns (Klaviyo, 2025 Email Marketing Benchmarks Report).
Top 10% of performers reach a 12.21% click-through rate on automated flows (Klaviyo, 2025).
The average automated flow conversion rate is 1.42%, compared with 0.08% for standard campaigns, roughly 17 times higher (Klaviyo, 2025).
Top 10% of performers reach a 4.93% conversion rate on automated flows (Klaviyo, 2025).
Welcome series generate an average of $2.65 in revenue per recipient (Klaviyo, 2024 to 2025 benchmark data).
The top 10% of merchants running welcome series reach $21.18 in revenue per recipient (Klaviyo, 2024 to 2025).
Abandoned cart flows average $3.65 in revenue per recipient, the highest of any flow type Klaviyo tracks (Klaviyo, 2024 to 2025).
The top 10% of merchants running abandoned cart flows reach $28.89 in revenue per recipient (Klaviyo, 2024 to 2025).
High-average-order-value stores exceed $14.14 in revenue per recipient on abandoned cart flows (Klaviyo, 2024 to 2025).
Browse abandonment flows average $1.07 in revenue per recipient (Klaviyo, 2024 to 2025).
Post-purchase flows average $0.41 in revenue per recipient, the lowest of the core flow types, though they still outperform standard campaigns (Klaviyo, 2024 to 2025).
Welcome series achieve 45% to 50% open rates and 8% to 12% conversion rates (Klaviyo, 2024 to 2025 benchmark data).
Abandoned cart flows achieve 35% to 40% open rates and 15% to 20% conversion rates (Klaviyo, 2024 to 2025).
Win-back flows achieve 25% to 30% open rates, the lowest of the tracked flow types, reflecting how hard it is to re-engage an already-disengaged subscriber (Klaviyo, 2024 to 2025).
Automated emails drove 37% of all email-generated sales in 2024 while accounting for just 2% of total email volume (Omnisend, 2025 Ecommerce Marketing Statistics Report).
Abandoned cart and welcome series emails together generated 76% of all automation revenue in 2025 (Omnisend, 2026 Ecommerce Marketing Report).
Omnisend's own 2025 platform data puts abandoned cart flow performance at a 35.75% open rate, 3.84% click-to-sent rate, and 1.51% conversion rate.
Nearly 4 in 10 shoppers who click an abandoned cart email go on to complete their purchase, a 39.46% click-to-conversion rate (Omnisend, 2025 to 2026 platform data).
Birthday automation emails produced an average order value of $744.37, more than four times the platform average (Omnisend, 2026 Ecommerce Marketing Report).

Email automation flow benchmarks, by type

Flow type	Open rate	Conversion rate	Revenue per recipient
Welcome series	45% to 50%	8% to 12%	$2.65 avg, $21.18 top 10%
Abandoned cart	35% to 40%	15% to 20%	$3.65 avg, $28.89 top 10%
Browse abandonment	Not separately reported	Not separately reported	$1.07 avg
Post-purchase	40% to 45%	Not separately reported	$0.41 avg
Win-back	25% to 30%	Not separately reported	Not separately reported

The direct implication for anyone building a business case: if your automation budget can only fund two flows, the data points to welcome and abandoned cart every time.

Those two alone produced three-quarters of Omnisend's automation revenue in 2025, and they carry both the highest open rates and the strongest revenue per recipient in Klaviyo's benchmark set.

AI's Impact on Marketing Automation ROI

AI adoption and AI ROI are measured separately in the current research, and the two numbers do not move together.

AI deployment inside marketing automation workflows was associated with a 20% average increase in ROI (Salesforce, State of Marketing, 10th edition, 2026).
The same research tied AI deployment to a 20% increase in customer satisfaction scores.
82% of marketers using or planning to use AI agents expect a major or moderate ROI improvement as a result (Salesforce, State of Marketing, 10th edition, 2026).
Only 49% of marketers currently measure the ROI of their AI investments in any formal way (Jasper, State of AI in Marketing 2025).
22% of marketers who don't currently measure AI ROI plan to start doing so in 2025 (Jasper, State of AI in Marketing 2025).
Data privacy concerns are the top barrier to scaling AI adoption, cited by 21% of marketers (Jasper, State of AI in Marketing 2025).
Output quality is the second-largest barrier to scaling AI, cited by 19% of marketers (Jasper, State of AI in Marketing 2025).
Data exposure and leakage ranked as marketers' top concern about generative AI specifically, ahead of a lack of internal data or strategy (Salesforce, State of Marketing, 9th edition, fielded February to March 2024).

The pattern across sections nine and one is consistent: adoption is outrunning measurement. Roughly three in four marketers have turned some form of AI on inside their stack, but under half can say with confidence what return it produced.

ROI measurement and AI-importance trends, year over year

Metric	Earlier year	Current year	Change
Marketers who do not measure email marketing ROI at all	36% (2023)	21% (2025)	Down 15 points
Marketers who say AI is critically or very important to marketing success	66% (2024)	74% (2025)	Up 8 points

Both trend lines point the same direction: marketers are getting better at both measuring returns and taking AI seriously, but the first table in this section already shows measurement is still the weaker of the two habits.

Barriers to Marketing Automation ROI

None of the major competing statistics pages built a section specifically around what stops automation from paying off, even though this is where 2025's freshest primary research actually sits.

75% of B2B marketing operations professionals estimate at least 10% of their lead data is inaccurate, outdated, or non-compliant (Integrate and Demand Metric, State of Marketing Data 2025, published July 2025).
More than 60% of marketing operations teams say poor data quality disrupts lead handoffs between marketing and sales (Integrate and Demand Metric, 2025).
54% of marketers name disconnected platforms as one of the biggest blockers to getting value from their marketing data (Acoustic and eMarketer, survey of 272 marketing professionals, March 2025).
Data quality and integration issues are the top challenge marketers face when implementing AI inside their marketing programs (Acoustic and eMarketer, March 2025).
Only 61% of marketing teams describe themselves as even somewhat effective at communicating data insights to other departments, a gap that compounds attribution and ROI-reporting problems (Acoustic and eMarketer, March 2025).
Data privacy concerns are the leading barrier to scaling AI-driven automation, cited by 21% of marketers (Jasper, State of AI in Marketing 2025).
Output quality concerns are the second-largest barrier, cited by 19% of marketers (Jasper, State of AI in Marketing 2025).
Data exposure or leakage was the top-ranked concern marketers had about adopting generative AI tools inside automation workflows (Salesforce, State of Marketing, 9th edition, 2024).
Only 51% of employees say they are personally eager to use the AI and automation tools their organizations are investing in, even though 98% of those organizations plan to increase investment (HubSpot, 2025 AI Trends for Marketers Report).

Marketing operations barriers to automation ROI, ranked

Barrier	Share reporting it	Source
Lead data at least 10% inaccurate, outdated, or non-compliant	75%	Integrate and Demand Metric, 2025
Poor data quality disrupts lead handoffs to sales	60%+	Integrate and Demand Metric, 2025
Disconnected platforms block data value	54%	Acoustic and eMarketer, 2025
Data privacy concerns limit AI scaling	21%	Jasper, 2025
Output quality concerns limit AI scaling	19%	Jasper, 2025

Every barrier on this list traces back to data quality or system integration, not to the automation software itself.

That is a meaningfully different diagnosis than the "too expensive" or "too complicated" objections that dominated marketing automation surveys five years ago, and it points budget conversations toward data cleanup and platform integration rather than toward a new tool purchase.

Marketing Automation Investment and Budget Statistics

Spending intentions for 2026 are running well ahead of measured returns, which is worth flagging before you build next year's budget request.

98% of organizations plan to maintain or increase their investment in AI and automation tools in 2025 (HubSpot, 2025 AI Trends for Marketers Report, survey of 1,500+ global marketers).
63% of marketers are already using generative AI, with another 27% evaluating it for adoption within six months, a combined 90% either using or actively considering it (Jasper, State of AI in Marketing 2025).
91% of B2C marketing organizations now dedicate a specific budget line to AI tools, and 90% plan to significantly increase that investment for the following year (Invoca, 2024-25 State of AI in B2C Digital Marketing Report, survey of 600 marketing professionals).
80% of B2C marketers reported that AI tools exceeded their ROI expectations, while only 3% reported disappointing returns (Invoca, 2024-25 State of AI in B2C Digital Marketing Report).
94% of B2C marketers say AI positively impacted revenue growth (Invoca, 2024-25 State of AI in B2C Digital Marketing Report).
Services spending inside marketing automation budgets is growing at a projected 14.0% CAGR through 2030, faster than the 2024 baseline for software licensing, as more buyers pay for integration and governance alongside the platform itself (Mordor Intelligence, 2025).
Cloud subscription spending is growing at a 13.9% CAGR and made up 66.3% of marketing automation software spend in 2024, as IT leaders prioritize faster AI feature rollout over on-premise control (Mordor Intelligence, 2025).

The 90% B2C figure above and the 49% AI-ROI-measurement figure from earlier in this article describe the same market from two angles.

Budget intent is nearly universal. Verified measurement of what that budget produced is not, and that gap is the single biggest planning risk in any 2026 automation budget built on vendor promises alone.

Marketing Automation Spending Mix and Segment Statistics

Where the money inside a marketing automation budget actually goes has shifted, and it changes what "ROI" means depending on which line item you're evaluating.

Software accounted for 69.2% of total marketing automation revenue in 2024, the largest single spending category (Mordor Intelligence, 2025).
Consulting and implementation partners currently account for 30% to 40% of total project cost on a typical marketing automation deployment, reflecting a shift from license-centric purchases toward outcome-focused projects (Mordor Intelligence, 2025).
Cloud-hosted deployments represented 66.3% of marketing automation software spending in 2024, compared with on-premise deployments, which remain more common only in heavily regulated sectors such as banking and telecom that keep sensitive datasets on private infrastructure (Mordor Intelligence, 2025).
The services segment of the market is projected to grow at a 14.0% CAGR through 2030, outpacing the software segment and shifting more of the total market toward integration, optimization, and governance work (Mordor Intelligence, 2025).

The practical read: a growing share of every automation dollar is going to the people and process work around the software, not the software license itself.

That matches the barriers data in the previous section almost exactly, since data quality and integration problems are precisely what consulting and services spend is meant to fix.

How These Statistics Were Compiled

This article scopes "marketing automation" the way it is generally defined,according to Wikipedia, as software platforms that automate repetitive marketing tasks and consolidate multichannel interactions, such as email, SMS, and social media, into one system, rather than narrower single-channel tools.

Within that scope, this article draws from primary sources wherever they exist: vendor-published benchmark reports built from real platform data (Klaviyo, Omnisend), commissioned studies with named methodology (Forrester Consulting, Nucleus Research), and large-sample surveys from research organizations (Salesforce, HubSpot, Jasper, Integrate and Demand Metric, Acoustic and eMarketer, Marketing AI Institute, Grand View Research, MarketsandMarkets, Mordor Intelligence).

No figure predates 2021, and the great majority are drawn from research published in 2024, 2025, or 2026. Where sources disagreed, such as the three competing market-size projections, all three figures are shown side by side rather than one being silently chosen.

The one figure that predates 2024, Nucleus Research's $5.44 benchmark, is flagged explicitly wherever it appears because it remains the most-cited number in the category despite its case studies running through 2020.

This page will be reviewed and re-verified against updated source reports at least once a year.

Conclusion

Two patterns run through every section of this data. First, the return on marketing automation is real and well documented at the platform level, from Klaviyo and Omnisend's billions of tracked email sends to Forrester's audited customer interviews, but it concentrates heavily in a small number of automated flows and AI use cases rather than spreading evenly across every feature a platform offers.

Second, measurement has not kept pace with adoption. Budgets are expanding faster than ROI tracking, data quality is the most commonly cited obstacle to realizing returns, and fewer than half of marketers can currently report what their AI-driven automation actually returned.

Going into 2026, the practical path forward is narrower than the adoption numbers suggest. Prioritizing the flows and use cases with the strongest documented revenue per recipient, fixing the data and integration problems that show up in nearly every barriers study cited here, and building a measurement habit before adding another automation tool will do more for ROI than chasing the next feature release.

FAQ

What do marketing automation ROI statistics show about average returns?

Marketing automation returns an average of $5.44 for every $1 spent over three years, according to Nucleus Research's 2021 review of 16 case studies. A separate 2023 Forrester Consulting study of Salesforce Marketing Cloud customers found a 299% three-year ROI, a different but directionally consistent figure from a narrower customer base.

How long does it take to see ROI from marketing automation?

Nucleus Research found a payback period under six months across the case studies it reviewed. Forrester Consulting's Salesforce Marketing Cloud study measured its 299% ROI figure over a full three-year horizon, so payback speed and total three-year return are two separate numbers worth tracking individually.

Which marketing automation flows deliver the highest ROI?

Abandoned cart flows deliver the highest revenue per recipient among tracked flow types, averaging $3.65 and reaching $28.89 among the top 10% of merchants, according to Klaviyo's 2025 benchmark report. Welcome series rank second, averaging $2.65 per recipient, and together the two account for 76% of all automation revenue in Omnisend's 2026 platform data.

Does AI improve marketing automation ROI?

Salesforce's 2026 State of Marketing research links AI deployment to a 20% average increase in ROI, and 82% of marketers using AI agents expect a major or moderate ROI improvement. However, only 49% of marketers currently measure AI ROI in any formal way, according to Jasper's 2025 survey, so a large share of that expected benefit remains unverified at the individual-company level.

What is the biggest obstacle to marketing automation ROI?

Data quality and system integration, not the automation software itself, are the most commonly cited obstacles in 2025 research. 75% of B2B marketing operations professionals report that at least 10% of their lead data is inaccurate or outdated, and 54% cite disconnected platforms as a major blocker to getting value from their data, according to Integrate and Demand Metric and Acoustic and eMarketer.

How big is the marketing automation market?

Estimates vary by research firm and scope. Grand View Research values the market at $6.65 billion in 2024, rising to $15.58 billion by 2030. MarketsandMarkets, using a broader definition that includes analytics and content management, values it at $47.02 billion in 2025, rising to $81.01 billion by 2030. Mordor Intelligence puts 2025 revenue at $7.23 billion, rising to $18.36 billion by 2030.

Is email still the highest-ROI automation channel?

The most detailed platform benchmark data available is for email, and it shows a wide performance gap between automated flows and standard campaigns. Automated flows generate up to 30 times more revenue per recipient than one-off campaigns, according to Klaviyo's analysis of over 325 billion emails. That gap does not necessarily mean email outperforms every other automated channel, only that email is the channel with the most granular, verifiable ROI data currently published.