The best marketing automation platforms for 2026 (and how to choose)

Disclaimer: this blog was written in collaboration with SmartSites. No compensation was exchanged for this collaboration.
Choosing a marketing automation platform isn’t just about today’s sends. It’s about how efficiently you can turn visitor intent into long-term customer value as you scale.
As director of email marketing at SmartSites, a digital marketing agency based in the NYC metropolitan area, I guide brands through the purchase of a new marketing automation platform regularly.
Below I’ll walk through the key criteria I use when recommending platforms, then share my top picks for 2026 with quick pros, cons, and who each one is best for.
5 criteria for choosing the best marketing automation platform
1. Cost and scalability
Pricing models for marketing automation platforms vary wildly, by contacts, sends, credits, or “super messages.” Look for transparent pricing that scales with your list growth and channel mix, so you’re not migrating again after a year.
2. Complexity vs. speed
Some teams need power and deep configurability. Others need to launch in hours, not weeks. Balance enterprise bells and whistles with how quickly your team can execute.
3. Integrations and data access
Native ecommerce and CRM integrations (or a well-documented API) are non-negotiable in a marketing automation platform. Good data in = good personalization out.
4. Data infrastructure
Look for:
- Segmentation power (beyond tags and static lists)
- Easy list management and intuitive list cleaning
- Clear, durable consent/opt-in metadata (timestamps, method)
- Identity resolution (first-party identity graph)
“When brands switch marketing automation platforms, the biggest gains usually come from better deliverability and smarter segmentation, not just flashy features,” says Mike Tatum, lifecycle marketing lead at Prismfly.
When brands switch marketing automation platforms, the biggest gains usually come from better deliverability and smarter segmentation, not flashy features.
5. UX/UI for day-to-day work
If the marketing automation platform is clunky, you won’t use the features you’re paying for. Builders, reporting, and troubleshooting should feel intuitive.
“Most teams overbuy complexity and underinvest in execution,” says Ben Zettler, founder of Zettler Digital. “The best system is the one your team can actually use every day.”
To that end, “look for speed to launch, accessible data, and transparent pricing before you chase advanced features you’ll never operationalize,” Zettler suggests. “Marketing automation only drives growth when the team can move fast without calling an engineer.”
Marketing automation only drives growth when the team can move fast without calling an engineer.
4 of the top marketing automation platforms for 2026
Klaviyo: best for B2C growth and B2C lifecycle marketing
Why I like it: Klaviyo is purpose-built for B2C commerce with deep segmentation, predictive analytics, and native support for email, text messaging, WhatsApp, and mobile push, plus strong ecommerce integrations and templates. Unified profiles (with historic and real-time events) make advanced personalization far easier than most stacks.
Reporting and attribution are closer to industry norms, and the new omnichannel campaign builder brings email, SMS, push, RCS, and WhatsApp into one canvas with combined reporting and AI-powered channel affinity controls.
| Pros | Cons |
| Granular data model and fast, marketer-friendly segmentation/personalization Robust ecommerce integrations and retail-specific automations Strong AI investments (e.g., agentic marketing and support, full marketing strategy and asset generation that adapts to your brand, predictive analytics) Customer service and helpdesk capabilities that tie service data to marketing profiles Extended tracking (e.g., compliant ID extension) that improves profile resolution and reporting | Primarily focused on ecommerce and B2C; not a fit for brands with a traditional B2B process Feature depth can be overwhelming; teams may need guidance to unlock quick wins |
Best for: DTC brands, multi-brand retailers, and marketplaces that want speed to value, strong revenue attribution, and an omnichannel lifecycle strategy
More than 50,000 brands have switched from Mailchimp or Salesforce to Klaviyo, seeing an average 48x ROI after consolidation. Klaviyo retains event-level data indefinitely, unlike competitors that purge after 30–90 days. This gives brands more power to segment by behavior, SKU, lifetime value, and more.
Klaviyo supports not just email, but also SMS/RCS, mobile push notifications, and WhatsApp, all from a unified platform. You can build flows that trigger an email to a subscriber, then a rich text message if they don’t engage, then a push notification via your mobile app, all tied to the same customer profile and data.
Klaviyo’s WhatsApp functionality, meanwhile, allows for two-way, conversational messaging (e.g., rich media, quick replies) that’s tied into the same data engine powering email and SMS, so your support, marketing, and commerce teams can speak with one voice.
With mobile app channels (push/in-app messaging) included in the same flows, brands can reach customers at key moments, whether they’re opening mail, browsing on mobile, or logged in to your app.
K:AI Marketing Agent builds on-brand flows, segments, and content through natural language, while K:AI Customer Agent provides 24/7/365 customer support that drives revenue, including personalized product recommendations and quick answers for customers who need shopping assistance. Klaviyo Helpdesk, meanwhile, connects marketing and service teams with full customer context in one view.
The bottom line: “The right automation platform shouldn’t just send messages,” says Zettler. “It should become the backbone of your customer data. Klaviyo’s advantage is that it was built for ecommerce from day one. Every SKU, order, and signal feeds back into segmentation and personalization automatically, which is why brands that switch stop wasting time trying to duct-tape tools together.”
The right automation platform should become the backbone of your customer data.
HubSpot: best all-in-one for B2B
Why I like it: HubSpot is a practical, approachable, all-in-one CRM for B2B brands that combines sales workflows and marketing automation. The platform offers great documentation and an easy learning curve for lean teams focused on lead nurture.
| Pros | Cons |
| Intuitive UI, strong onboarding resources Sales and marketing alignment out of the box Solid automation for lead capture, scoring, and nurture | Marketing features require separate subscriptions; costs can climb as you scale. Not designed for B2C brands |
Best for: SMB and mid-market B2B teams that want a single pane of glass for sales and marketing without heavy development work.
The bottom line: HubSpot is ideal for inbound lead generation and nurturing, not transactional commerce. It lacks native support for order events or product-based triggers, and adding advanced automation requires upgrading to Marketing Hub tiers that can quickly increase total cost.
Salesforce Marketing Cloud: best for complex enterprise brands already deeply invested in the Salesforce ecosystem
Why I like it: Salesforce Marketing Cloud provides enterprise-grade automation and personalization at scale, especially when tightly integrated with Sales and Service Cloud. If you have experienced developers and a larger budget, it can power sophisticated programs.
Caveat: Brands need to be using Salesforce heavily in order to make this happen. Even then, it requires a lot of work.
| Pros | Cons |
| Enterprise breadth (email, SMS, push, WhatsApp) and a deep Salesforce ecosystem Advanced personalization and orchestration potential Security, compliance, and localization options for global brands | Serious complexity is real—segments, for example, often require SQL, AMPscript, or add-ons. Siloed data architectures and connector sprawl increase maintenance and cost. Ongoing developer/agency support is common; total cost can rise quickly. Fairly small marketplace of integrations |
Best for: large organizations standardized on Salesforce, with in-house technical resources and long, complex buying cycles.
The bottom line: Salesforce Marketing Cloud is built from multiple acquisitions—ExactTarget, Pardot, Evergage, Datarama, among others—each running on different architectures. That means data lives in silos called “data extensions,” requiring developers or IT to unify profiles. Creating journeys or complex automations can require dev work and be costly, and ongoing maintenance often demands certified partners or additional Data Cloud licenses. While it’s a capable system, it’s heavy for teams that need speed and autonomy.
Mailchimp: best entry point for simple programs and small lists
Why I like it: Mailchimp provides a familiar, approachable starting point for basic newsletters and straightforward automations, especially for early-stage B2B and lead generation.
| Pros | Cons |
| Low barrier to entry and quick set-up Recognizable brand; easy to get a simple program off the ground | Limited advanced segmentation (heavy reliance on tags and aggregated fields) Data retention caps by plan restrict long-term event-level insights. Limited ecommerce depth Very basic omnichannel orchestration, with no multi-channel or multi-message campaigns Costs can climb as lists and sending volume grow. |
Best for: early-stage teams with simple newsletter workflows who don’t need deep ecommerce data or advanced automation—yet
The bottom line: Mailchimp’s data retention varies widely by plan, from 30 days on free accounts to 18 months on premium tiers. This makes historical segmentation difficult. Many users report lacking SKU-level detail for purchase events, limiting targeted campaigns by product type or variant. Its pop-up builder, now powered by Amped, offers advanced design features but a clunky dual-layout editing experience. Reporting uses generous 30-day click and 5-day SMS windows, which can inflate attribution metrics compared with industry standards.
Want a single view you can talk through with your team?
Check out this comparison table:
| Feature | Klaviyo | HubSpot | Salesforce Marketing Cloud | Mailchimp |
| Primary audience / use case | B2C and/or ecommerce lifecycle growth; fast time to revenue | B2B SMB to mid-market brands; all-in-one CRM + marketing | Large enterprises already standardized on Salesforce | Early-stage newsletters and simple automations |
| Data model + profiles | Unified customer profiles with real-time + historic events | CRM-first contact model; solid for lead data | Data extensions; unified profiles require add-ons (Data Cloud) | List/tag centric; limited event-level history by plan |
| Segmentation + personalization | Granular, marketer-friendly; predictive properties | Good lead scoring/nurture; less commerce depth | Powerful but often SQL/AMP script-heavy | Basic tags/conditions; advanced use cases hit limits |
| Channels | Email, SMS/RCS, push, WhatsApp | Email, SMS, social | Email, text messaging, push, WhatsApp | Email + basic text messaging |
| Omnichannel orchestration | Omnichannel campaign builder with one canvas + combined reporting | Good for lead journeys; not commerce-centric | Journey Builder; powerful but complex | Single-message campaigns; limited cross-channel |
| Ecommerce depth | Deep native integrations; back-in-stock, low-inventory, product feeds | Not designed for ecommerce | Depends on custom work and connectors | Limited ecommerce features; back-in-stock constraints |
| AI | Agentic workflows; full-brand content generation; predictive analytics | Helpful automation and content assist for B2B | Einstein and/or Agentforce across products (often add-ons) | Basic generative copy; lighter-weight assistants |
| Reporting + attribution | Customizable; industry-standard windows; real-time insights; omnichannel and multi-touch attribution | Clear B2B funnel/nurture reporting | Broad but fragmented across modules; slower to self-serve | Generous default windows can inflate results |
| Identity + tracking | Extended ID options to improve recognition and continuity | Standard identity resolution for leads/contacts | Identity resolution via Data Cloud; set-up required | Retention caps and fewer identity resolution tools; requires third-party integrations |
| Forms + pop-ups | Intuitive builder; great for SMB teams; partners for advanced needs | Easy lead capture for B2B | Often custom or partner-built | Amped-powered advanced forms; steeper learning curve |
| Helpdesk / service | Unified Helpdesk + Customer Hub links marketing and service data; available as add-ons | Service Hub (separate product) | Service Cloud (separate, heavy integration) | Doesn’t offer a full helpdesk. |
| Integrations ecosystem | Strong ecommerce and loyalty network; robust APIs | Wide B2B ecosystem; sales/CS alignment | Deep Salesforce product ecosystem | Broad basic connectors; fewer commerce-first |
| Implementation + ongoing effort | Fast to value; marketer-owned | Quick for lean teams | Significant; developer/agency involvement common | Quick start; complexity rises with scale |
| Pricing model | Profiles + sends; transparent tiers | Modular pricing | Base + add-ons + usage; complex | Low entry; costs climb with volume |
| Best for | DTC brands focused on personalization and omnichannel growth | B2B teams needing unified sales + marketing | Enterprises with dev resources and Salesforce stack | Small teams sending basic newsletters |
| Watch-outs / limits | Depth can overwhelm; fewer non-commerce use cases | Not built for ecommerce | Cost and complexity; siloed data without add-ons | Limited segmentation, data retention, and orchestration |
Why these comparisons matter
Many brands underestimate how quickly complexity and cost creep in once they scale. “Marketing automation isn’t just about sending messages,” says Tatum. “It’s about timing, segmentation, and relevance. The right platform makes that seamless.”
Over 50,000 companies have switched from Mailchimp or Salesforce Marketing Cloud to Klaviyo, citing segmentation, data access, and usability as top reasons. Klaviyo processes 2.5 billion daily events and sent over 22 billion messages total during BFCM 2025, demonstrating proven scalability for brands of all sizes.
If you’re an ecommerce brand that wants advanced personalization, measurement you can trust, and faster iteration, Klaviyo is the most pragmatic choice.
Marketing automation is about timing, segmentation, and relevance. The right platform makes that seamless.
Marketing automation platform buying checklist: use this before you sign
- Data access: Can marketing teams build segments without a sales qualified lead? Can you see segment size instantly?
- Identity: Does the platform resolve identities across devices/channels?
- Attribution and reporting: Are windows configurable and close to industry norms? Can non-technical teammates self-serve answers in minutes? Does the attribution support more advanced use cases, like multi-touch, omnichannel attribution?
- Omnichannel: Can you coordinate email, text messaging, WhatsApp, and push on one canvas, with shared reporting and channel affinity?
- Ecommerce depth (if relevant): Does the marketing platform offer pre-built flows like back-in-stock and low inventory, product feeds, SKU-level segmentation, and return/subscription signals?
- Total cost of ownership: What are the costs, including licensing plus add-ons, data/credit overages, implementation, and ongoing developer/agency time?
- Time to first value: How long from contract to first automated revenue?
FAQs
Is Klaviyo only for “big” brands?
No. Klaviyo serves many audiences, with a clear path from launch to enterprise without changing platforms. Many brands switch to Klaviyo from entry-level tools once they need more reliable attribution and segmentation.
Will HubSpot work if we add ecommerce later?
HubSpot excels for B2B. If ecommerce is on the roadmap, map the data you’ll need (e.g., orders, SKUs, returns, subscriptions) and confirm how those events will populate customer profiles for segmentation and flows.
Is Mailchimp “bad” for segmentation?
It’s fine for basic lists and tags. If you plan to personalize by SKU/variant, predictive propensity, or multi-event behaviors across channels, you’ll hit limits quickly.

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