Marketo Engage vs Persana AI in 2026: enterprise lead nurturing vs signal-driven prospecting
Marketo Engage scores and routes leads that already exist in Salesforce. Persana AI watches 75+ buying signals across 100+ data sources to find leads and time the first email before a rep ever opens a CRM.
Marketo Engage nurtures leads already in the CRM; Persana AI finds and enriches new leads from 100+ aggregated data providers before they enter one.
Persana AI tracks 75+ buyer intent signals, including funding rounds and executive hiring; Marketo Engage's scoring runs on behavior within contacts you already have.
Persana AI offers a free tier with 50 credits; Marketo Engage does not publish pricing at all and typically requires a multi-month implementation.
Persana AI's credit system charges 1 credit per email found and 10 per phone number, requiring active budget tracking Marketo Engage's CRM-based model does not need.
Marketo Engage includes native account-based marketing tooling from its Select tier up; Persana AI has no comparable ABM capability.
Persana AI is currently joining forces with Rox, introducing some near-term product uncertainty that a mature, Adobe-owned platform like Marketo Engage does not carry.
Marketo Engage and Persana AI both sell to B2B marketing and sales teams, but they sit on opposite sides of where a lead comes from. Marketo Engage, part of Adobe Experience Cloud with pricing available only through a sales conversation, manages leads that already exist somewhere in the funnel: behavioral scoring, lifecycle routing, and bidirectional Salesforce sync at enterprise scale. Persana AI, free at the entry tier and scaling to $400/month on Pro, consolidates over 100 data providers and tracks 75+ buyer intent signals, funding rounds, executive hires, G2 reviews, so its AI agents can build a prospect list and trigger a personalized first email the moment a signal indicates a buying window, all before that contact ever exists in a CRM. Marketo Engage has no prospecting or signal-detection layer of its own; Persana AI has no lead scoring model, account-based marketing tooling, or multi-channel campaign orchestration comparable to Marketo's enterprise depth.
The tools at a glance
Marketo Engage
Adobe's enterprise marketing automation platform for large-scale B2B demand generation, lead management, and multi-channel campaign orchestration.
Marketo Engage assumes a lead already exists in the funnel and focuses on what happens next: multi-dimensional behavioral scoring updates automatically as a contact engages with email, website content, or webinars, and routes them through lifecycle stages synced bidirectionally to Salesforce or Microsoft Dynamics.
Account-based marketing runs as a native capability, with target account lists, account-level engagement measurement, and coordinated advertising, and multi-channel orchestration extends across email, events, webinars, and direct mail from one attribution layer tied to pipeline and revenue.
The platform has no mechanism for discovering a contact who has never interacted with the brand and no external intent-signal tracking of the kind Persana AI is built around. Marketo Engage also does not publish pricing, and implementation commonly runs 3 to 6 months with a dedicated marketing operations resource or Adobe partner involved.
| Feature | Growth Contact | Select Contact | Prime Contact | Ultimate Contact |
|---|---|---|---|---|
| Lead Management | ✓ | ✓ | ✓ | ✓ |
| Account-Based Marketing | ✗ | ✓ | ✓ | ✓ |
| Predictive AI Features | ✗ | ✗ | ✓ | ✓ |
| Revenue Attribution | ✗ | ✗ | ✓ | ✓ |
Persana AI
AI sales prospecting platform with 100+ data sources and 75+ buyer intent signals to find and engage leads on autopilot.
Persana AI's starting point is that a lead worth pursuing is often signaled before anyone fills out a form. Consolidating over 100 data providers under one subscription, it uses a waterfall model to return the highest-confidence contact detail for a prospect, and its 75+ signal library tracks funding rounds, hiring patterns, G2 reviews, and competitor activity in near real time.
When a target company shows one of those signals, an AI agent can research the contact and send a personalized first email within minutes, running continuously without a rep needing to be logged in. This is prospecting and timing automation, not lead nurturing for contacts already engaged with the brand.
Persana AI operates on a credit system, 1 credit for an email, 10 for a phone number, with plans running from a free 50-credit tier up to $400/month on Pro for 18,000 credits monthly. It has no lead scoring model comparable to Marketo's, no account-based marketing tooling, and no multi-channel campaign orchestration across events or paid media.
| Feature | Free $0/mo | Starter $85/mo | Growth $151/mo | Pro $400/mo | Enterprise Contact sales |
|---|---|---|---|---|---|
| Data providers | 100+ | 100+ | 100+ | 100+ | 100+ |
| AI Agents | ✗ | ✓ | ✓ | ✓ | ✓ |
| CRM Integration | ✗ | ✗ | ✓ | ✓ | ✓ |
| Webhooks / HTTP API | ✗ | ✗ | ✗ | Custom | ✓ |
Head-to-head feature comparison
| Feature | ||
|---|---|---|
| Primary use case | Enterprise B2B lead nurturing and ABM | AI-driven prospecting with intent signals |
| Pricing transparency | Not published, sales process required | $0 to $400/month, published |
| Built-in prospect database | No | Yes, 100+ aggregated providers |
| Buyer intent signals | No | Yes, 75+ signals including funding and hiring |
| Lead scoring / behavioral models | Yes, multi-dimensional behavioral scoring | No |
| Account-based marketing | Yes, from Select tier up | No |
| CRM integration depth | Very deep, Salesforce and Dynamics | Basic, HubSpot and other CRM sync from Growth up |
| Implementation time | 3 to 6 months typical | Days |
| Multi-channel campaign orchestration | Yes | No, email-led with CRM handoff |
| Free tier | No | Yes, 50 credits |
Neither platform tracks how AI search engines describe your brand, even as both lean on AI internally

Marketo Engage's predictive AI scores existing contacts and Persana AI's agents write signal-triggered outreach, but both are aimed at reaching known or discoverable prospects directly, not at understanding how ChatGPT, Gemini, or Perplexity describe a brand when a prospect asks about the category before ever hitting a form. AI Peekaboo tracks brand mentions across those AI answer engines specifically, with a read and write API and white-label delivery from $50/month. For a B2B team running lifecycle scoring in Marketo Engage or signal-based prospecting in Persana AI, pairing either with AI visibility monitoring closes a gap neither platform is built to cover on its own.
Read the AI Peekaboo review →Which should you choose?
Marketo Engage and Persana AI answer different questions inside the same go-to-market motion. Marketo Engage answers "this lead exists in our system, what should we do with them next." Persana AI answers "this company just raised funding or started hiring SDRs, someone should reach out right now." A company mature enough to run Marketo Engage often still needs a signal-based prospecting layer like Persana AI feeding new accounts into it.
Bottom line
Choose Marketo Engage if your organization has an existing lead base, a Salesforce-centric stack, and the marketing operations capacity to run enterprise lifecycle scoring and account-based programs. Choose Persana AI if the priority is catching net-new accounts at the moment they show a real buying signal, without the multi-month implementation Marketo Engage requires. These tools solve adjacent, not competing, problems, and it is common for a larger organization to run a lighter signal tool like Persana AI upstream of Marketo's lifecycle engine.
Frequently asked questions
Can Persana AI replace Marketo Engage for an enterprise B2B marketing team?
No, Persana AI has no lead scoring model, account-based marketing tooling, or multi-channel campaign orchestration across events and paid media, all core to what Marketo Engage delivers for large organizations. Persana AI is built for prospecting and signal-based outreach, an earlier and narrower stage of the funnel than Marketo Engage manages.
Does Marketo Engage track buyer intent signals the way Persana AI does?
Not in the same way. Marketo Engage's predictive AI scores behavior from contacts already in the system, website visits, email engagement, content downloads, rather than external signals like funding rounds or executive hires for companies not yet in the CRM, which is specifically what Persana AI's 75+ signal library covers.
How does Persana AI's credit-based pricing compare to Marketo Engage's custom quotes?
Persana AI publishes transparent tiers from $0 to $400 per month based on credits consumed per action, while Marketo Engage requires a sales conversation with no public pricing at all, and its total cost including implementation typically runs into a much larger enterprise budget than Persana AI's highest published tier.
What is the Rox merger and does it affect a Persana AI purchase decision today?
Persana AI announced it is joining forces with Rox, and while existing plans and credits are expected to be honored, the merger introduces some uncertainty about product direction over the next several months, a factor worth weighing given Marketo Engage carries no comparable near-term uncertainty as an established Adobe product.
Which tool is better for finding net-new accounts that have never engaged with a brand?
Persana AI is purpose-built for exactly that scenario, using its 100+ data providers and 75+ intent signals to identify and enrich prospects with no prior brand interaction. Marketo Engage has no equivalent capability, since it operates on contacts that already exist somewhere in the funnel or CRM.
Would a company running Marketo Engage still need a tool like Persana AI?
Often yes. Marketo Engage excels at nurturing and scoring leads once they exist, but it does not discover new accounts on its own. Many enterprise teams pair Marketo Engage with a signal-based prospecting tool upstream, feeding freshly identified, high-intent accounts into Marketo's lifecycle and scoring engine rather than relying on inbound form fills alone.

