- 80% of marketers report moderate or significant pressure to adopt AI, per Supermetrics data. Most agentic campaign management tools ship inside suites teams already pay for, so the shortlist is set by where campaign data already lives, not by which model runs the agent.
- The seven tools compared here are Supermetrics Campaign Monitor, Salesforce Marketing Cloud Next, HubSpot Agent Hub, BrazeAI Agents, Relevance AI, ActiveCampaign, and Adobe Marketo Engage + Optimizer.
- Published entry pricing runs from $7/month with HubSpot Marketing Hub to $1,500/organization/month with Salesforce Marketing Cloud Next. BrazeAI Agents and Adobe Marketo Engage require a custom quote, and Supermetrics Campaign Monitor is free with a paid plan during the alpha. All prices are verified as of October 2026.
- Supermetrics Campaign Monitor runs three live checks (metric, naming conventions, and landing page health) against the Google Ads and Meta connections you already have. Alerts are sent via Slack, email, or an LLM with the MCP connection.
- Verdict: Supermetrics Campaign Monitor is our pick for always-on monitoring. Plus, it’s free during alpha and needs no new integrations.
Most of the best agentic marketing campaign management tools going into 2027 sit within an established data suite. The right pick depends less on the model behind each tool and more on where your campaign data already lives, whether it's consolidated in Supermetrics or separated across platforms like Salesforce and Braze.
Some agentic marketing systems carry a campaign from brief to send, taking instructions as plain-English prompts combined with rules you set in advance. Others watch campaigns while they run and tell you when something breaks.
According to Supermetrics’ 2026 Marketing Data Report, 80% of marketers are under pressure to adopt AI. Pressure like that can lead people to adopt tools before they really know how to fully embed them. The list below is meant to give you a solid idea of what each tool offers, so you can make an informed decision you can actually capitalize on.
The 7 best agentic marketing campaign management tools for personalization at scale
The best agentic marketing campaign management tools are Supermetrics Campaign Monitor for always-on monitoring, Salesforce Marketing Cloud Next for Salesforce-native cross-channel journeys, HubSpot Agent Hub for HubSpot-first teams planning campaigns from CRM data, BrazeAI™ Agents for real-time personalization on B2C lifecycle journeys, Relevance AI for custom multi-agent systems, ActiveCampaign for email and SMS-first SMB and mid-market teams, and Adobe Marketo Engage + Optimizer for B2B enterprise lead nurturing.
We evaluated each tool against four criteria: best use case, the capabilities they actually offer, how they’re priced, and whether or not they’re accessible for free. Each feature and price has been checked against the corresponding vendor’s own website or documentation as of October 2026.
| Platform | Best for | Key features | Pricing | Free trial |
|---|---|---|---|---|
| 1. Supermetrics Campaign Monitor | Always-on campaign monitoring | Metric threshold alerts, landing page checks, naming convention checks, Slack notifications, MCP access | Free alpha (Starter $44/mo, Growth $177/mo billed annually) | Free alpha access available |
| 2. Salesforce Marketing Cloud Next | Salesforce-native cross-channel journeys | End-to-end campaign management, 2-way email/SMS, live personalization optimization | Starts at $1,500/org/month | No |
| 3. HubSpot Agent Hub | HubSpot-first teams planning campaigns from CRM data | Enterprise-grade security, Campaign Agent, Content Agent, Nurture Agent | Starter $20/mo/seat, Pro $800/mo, Enterprise $3,600/mo | Free tools available / Beta access |
| 4. BrazeAI™ Agents | Real-time personalization for B2C lifecycle journeys | BrazeAI Operator, Agent Console, Agentic Standards, AI Decisioning Studio | Custom quote required | No |
| 5. Relevance AI | Custom multi-agent systems | Workforce canvas, 2,000+ app integrations, user-set parameters, pre-built agents | Pro $19/mo, Team $234/mo, Enterprise custom quote | No |
| 6. ActiveCampaign | Email and SMS-first SMB and mid-market teams | Campaign building agents, real-time recommendations, MCP server | Plus $112/mo, Pro $142/mo, Enterprise $284/mo | Yes (14-day free trial) |
| 7. Adobe Marketo Engage + Optimizer | B2B enterprise lead nurturing | AI connected to customer data, omnichannel journey canvas, agentic program QA, MCP server, brand compliance | Custom quote required | No |
Data verified as of October 2026.
1. Supermetrics Campaign Monitor
Best for: Always-on campaign monitoring
Supermetrics is a marketing intelligence platform that bridges the gap between understanding past performance and driving future action. It unifies data from marketing and sales sources (such as Google Ads, Facebook Ads, LinkedIn Ads, TikTok Ads, and GA4) into a unified, governed layer queryable by agentic AI.
Supermetrics also embeds one of the best agentic marketing campaign management tools. Supermetrics Campaign Monitor is an always-on monitoring layer that runs routine checks on campaigns based on rules and thresholds that you define. When a campaign crosses a threshold you set, Campaign Monitor posts to Slack that day so you don’t have to wait for the next scheduled report.
Right now, three checks are live in Campaign Monitor:
- Metric thresholds that can flag any campaign monitoring metrics you track, including spend and CPA
- Naming convention checks that catch campaigns that break naming rules before they go into a report
- Landing page checks that catch broken destination URLs before another day of spend runs against it
Campaign Monitor runs these checks on the Google Ads and Meta connections that you already have set up in Supermetrics, so there’s no need for a new account or integration. The checks are accessible through Supermetrics MCP on whatever AI platform you use, opening the door to AI campaign management with Claude and other tools like ChatGPT.
Pick Campaign Monitor if your team already reports on Google Ads and Meta Ads through Supermetrics and wants the ability to be notified about a spend spike or a dead landing page the day it happens, not at month's end.
Key features
- Metric threshold alerts across any field tracked in Supermetrics
- Landing page checks to prevent wasted conversion opportunities
- Naming convention checks to maintain report uniformity
- Automated Slack notifications for campaign performance drift
- MCP access
Pricing
Campaign Monitor is free to use during the alpha stage, and teams get set up through their Supermetrics contact. If you don’t have an existing plan, Supermetrics Starter plan is priced at $44/month and the Growth plan is priced at $177/month, both billed annually. Pricing for the Enterprise plan is determined by a custom quote that matches your needs. All rates are verified as of October 2026.
| Pros | Cons |
|---|---|
| Free to use during the alpha stage | Campaign Monitor is in its alpha stage, so capabilities may change with further testing |
| Provides real-time notice for performance drift and broken links | Only covers Google Ads and Meta as of October 2026 |
| Integrates with Slack for automated notifications |
2. Salesforce Marketing Cloud Next
Best for: Salesforce-native cross-channel journeys
Marketing Cloud Next is Salesforce’s agentic marketing solution, designed to help marketers build connected, consistent brand experiences with AI agents that adapt and optimize in real time. Agentforce agents operate based on a unified database of customers, campaigns, and revenue signals. Analysts can also query this database using natural language prompts, asking which segment drove last quarter’s pipeline without having to file a ticket with a data team.
With Marketing Cloud Next, you can manage a campaign with agentic support from end-to-end. You start by describing your desired target and your goal, and Agentforce agents will generate a precise segment and a full campaign (complete with everything from a brief and recommended audiences to journey maps and cross-channel branded content).
Agents are built to deliver personalized interactions and recommendations that match your business goals with each individual customer’s needs, with strategic direction and guardrails defined by human professionals. That includes offers and on-site content that change based on which pages a visitor has already viewed.
Pick Salesforce Marketing Cloud Next if your unified customer data already lives in Salesforce and you want an agentic campaign management tool capable of handling end-to-end execution.
Key features
- End-to-end campaign management capabilities, from audience segmentation and campaign creation to real-time execution
- Two-way conversation capabilities for email and SMS interactions
- Live optimization for personalized web experiences, paid media campaigns, promotional offers, and more
Pricing
As of October 2026, Marketing Cloud Next Growth Edition is priced at $1,500/organization/month, and Marketing Cloud Next Advanced Edition is priced at $3,250/organization/month. Salesforce Personalization ($8,000/organization/month), Marketing Intelligence ($10,000/organization/month), and Loyalty Management ($20,000/organization/month) are priced separately as add-ons.
| Pros | Cons |
|---|---|
| Runs natively on Salesforce CRM and Data 360 | Relatively expensive starting price |
| Takes campaigns from brief to journey in one platform | Important capabilities priced behind separate add-ons |
| Paid media agents can pause ads based on set performance thresholds | Mobile app messaging only included on the highest plan tier |
3. HubSpot Agent Hub
Best for: HubSpot-first teams planning campaigns from CRM data
HubSpot Agent Hub is the platform’s integrated solution for creating and managing AI agents (pre-built or custom) that reference your CRM data in HubSpot.
Like Salesforce’s campaign creation agent, HubSpot’s Campaign Agent is designed to build a cross-channel marketing campaign plan from desired goals outlined by human professionals. The Campaign Agent builds those plans from your brand settings and audience list, as well as channel performance data already present in your HubSpot solution.
Once the Campaign Agent outlines the plan, the Content Agent drafts the required assets, from briefs to finished blogs and landing pages, all of which are funneled to humans for review before publishing.
The Nurture Agent is responsible for ongoing personalization throughout the campaign. It draws on in-depth customer information, such as page visits and industry, to deliver personalized emails aligned with each person's stage in their customer journey.
Keep in mind that each of these three agents is in beta as of October 2026, so features and capabilities may shift as HubSpot pushes updates.
Pick HubSpot Agent Hub if HubSpot already holds your customer data and you want native agents that plan and manage campaigns based on that data.
Key features
- Enterprise-grade data security infrastructure
- Campaign Agent for multi-channel campaign planning
- Content Agent for content creation and execution
- Nurture Agent for ongoing personalization over campaign content
Pricing
When billed annually as of October 2026, HubSpot Marketing Hub Starter is priced at $7/month/seat, while Marketing Hub Professional and Marketing Hub Enterprise are priced at $800/month and $3,600/month, respectively.
| Pros | Cons |
|---|---|
| Agents run on live CRM data, with no separate data connection required if you already use HubSpot | All pre-built marketing campaign management agents still in beta |
| Covers campaign planning through personalization execution in one platform | Limited coverage for free tools |
| Agent Builder lets non-technical teams create custom agents as needed |
4. BrazeAI Agents
Best for: Real-time personalization for B2C lifecycle journeys
Braze is a dedicated customer engagement platform for B2C brands. It combines a unified customer data platform with a cross-channel messaging solution and an AI-driven campaign execution layer. Its agentic capabilities span four distinct tools.
BrazeAI Operator is built to assist you in a few core areas. These include building custom agents and launching or updating campaigns, as well as surfacing on-demand intelligence from plain-English queries. Every campaign launch or update is run through Agentic Standards, which automates reviews and refinements based on rules and thresholds that you set.
BrazeAI Agent Console creates and localizes messages based on user-set parameters. It also routes audiences along journey paths using signals such as product affinity, and helps you quantify outcomes from unstructured data.
The AI Decisioning Studio, available in “Pro” and “Go” variants, employs agents to optimize engagement across your campaign, adjusting send times and content to deliver the right message at the right time. The “Pro” variant lets you configure agents to optimize decisions based on specific KPIs and shows the reasoning behind each send at the individual level.
Pick BrazeAI Agents if your lifecycle marketing programs already run or want to run through Braze Campaigns and Canvases, and you want to add deeper capabilities with agents that personalize each step.
Key features
- BrazeAI Operator
- BrazeAI Agent Console
- Agentic Standards
- AI Decisioning Studio
Pricing
As of October 2026, Braze does not publicize its pricing and requires a discussion with the sales team to obtain a quote.
| Pros | Cons |
|---|---|
| Operator and Agent Console included on every plan tier | Pricing not publicized |
| Cross-channel messaging included on every plan tier, from email and notifications to various chat apps and landing pages | AI and agentic orchestration capabilities scale with plan tier |
| Enterprise-grade security options, including 2FA, SSO, access permissions, and audit logs |
5. Relevance AI
Best for: Custom multi-agent systems
Relevance AI lets teams build their own multi-agent systems from prebuilt and customized AI agents, each designed to run AI marketing workflows on an existing tech stack. The platform includes over 2,000 app integrations that are available on every plan, so you’ll likely find most of the apps you need available in its integration library.
One of Relevance AI’s pre-built agents is the Lifecycle Marketer, connected to HubSpot, which reads trackable customer behavior, such as page views or status changes, then sends a message when a contact is most likely to read it. Each send, and each decision not to send, is logged on the contact record with full reasoning.
For example, the Lifecycle Marketer can be chained with other pre-built agents, such as the Campaign Reporter and Inbound Engager, to get closer to a full-spectrum campaign management system. You can also build your own agents and set how much each one is allowed to do without approval. The only standout limitation you have is whether or not you can make these agents work across your entire tech stack.
Pick Relevance AI if you’re a marketing ops leader and you want to design a fully customized multi-agent system that works across the tools you already use.
Key features
- Workforce canvas to chain agents into multi-step workflows without code
- Full 2,000-app integration library included on all plans
- Agent actions are grounded in user-set parameters
- Pre-built agents like the Lifecycle Marketer and Campaign Reporter are included
Pricing
Relevance AI Pro starts from $19/month, and Relevance AI Team starts at $234/month, both billed annually. The Enterprise plan requires a custom quote. All prices are verified as of October 2026.
| Pros | Cons |
|---|---|
| Connects to 2,000 different apps, including HubSpot, Salesforce, and ActiveCampaign | Requires technical expertise to build out multi-agent systems, even without coding |
| Works with your existing tech stack rather than forcing you to adopt a specific platform license | Actions are limited on the Pro and Team plans, and extra actions cost an extra $80 per 1,000 actions |
| Enterprise triggers (such as those for Salesforce or Snowflake) only available on the Enterprise plan |
6. ActiveCampaign
Best for: Email and SMS-first SMB and mid-market teams
ActiveCampaign is a marketing automation platform designed to help SMB and mid-market teams build stronger email and messaging campaigns. Its AI layer, Active Intelligence, unifies numerous AI agents designed to help you build and execute campaigns into a single platform. Agentic capabilities range from goal-setting and segmentation to ongoing optimization.
The AI Campaign Builder agent, for instance, takes a desired goal and creates a full campaign to match it. When paired with the AI Brand Kit, the copy and visuals it generates will meet your brand requirements. You can also generate variations and push them live as an A/B test. With the Predictive Sending agent, messages are automatically delivered at the perfect moment to maximize engagement based on captured data.
Instead of just pushing data to spreadsheets or generating static reports, Active Intelligence surfaces recommendations to improve campaign performance in real time. This lets you make adjustments (manually or automatically) as soon as they’re needed, rather than waiting for static data that may no longer be applicable.
Pick ActiveCampaign if email and SMS drive most of your revenue and you want agents building campaigns inside the tool you already send from.
Key features
- Campaign building agents for email and SMS campaigns, supported by automated segmenting, goal-setting, and context-building agents
- Real-time campaign recommendations with options for automated adjustments
- MCP server that connects ActiveCampaign to LLMs like ChatGPT and Claude
Pricing
As of October 2026, ActiveCampaign’s pricing is split into separate plans, with rates that vary depending on the volume of contacts you have. For 1,000 email contacts and 5,000 WhatsApp contacts, the Plus plan is priced at $112/month, the Pro plan is priced at $142/month, and the Enterprise plan is $284/month, each billed annually.
| Pros | Cons |
|---|---|
| Connects to external AI tools through MCP | Active Intelligence is limited on the entry-level plans |
| Free trial available with 30-day guaranteed refunds | Number of users is limited on all plans |
| Multi-step automation available on all plans | SSO only included on the Enterprise plan |
7. Adobe Marketo Engage + Optimizer
Best for: B2B enterprise lead nurturing
Adobe Marketo Engage is a lead management platform that enterprise teams can use to personalize the entire buying journey across all channels.
Much of Marketo Engage still requires manual input. For example, you’ll still need to use an interface to build multi-step, omnichannel campaigns. However, you can set your campaigns to automatically adjust based on customer behavior and how it’s reflected in your data. You can also set up automatic updates for various items, like lead scores.
Using Marketo Engage’s built-in generative AI, you can tailor messaging and imagery at the segment level, using your brand guidelines as guardrails. The AI predicts which content will convert for a specific segment based on your data, then drafts content to match that segment's preferences.
Multiple agentic capabilities are still on the docket for Marketo Engage, including prompt-based journey creation and callable agents for data quality management.
Adobe Marketo Optimizer, sold separately, adds the full agentic layer Marketo Engage doesn’t have on its own. For example, Optimizer scores each lead against their full behavior history in your Adobe data, then swaps in campaign content at the individual level rather than the segment level. You can also use Optimizer to automatically adjust message send times to maximize engagement.
Pick Adobe Marketo Engage and pair it with Adobe Marketo Optimizer if you’re an enterprise B2B team and need a unified solution for lead management and journey optimization.
Key features
- AI connected to customer data and continuously updated for buyer signals
- Omnichannel journey canvas
- Agentic program QA to test campaigns against best practices and rules
- MCP server included, letting you integrate external AI tools and agents
- Brand compliance across all AI-generated content
Pricing
As of October 2026, Adobe Marketo Engage is available in four packages (Growth, Select, Prime, and Ultimate), each with custom, quote-based pricing. Adobe Marketo Optimizer is a separate product that requires Marketo Engage, and its pricing is not listed either.
| Pros | Cons |
|---|---|
| Omnichannel customer journey canvas | Fundamental features like prompt-based journey creation have yet to be released as of October 2026 |
| Brand-conformant content generation | No public pricing or free trial |
| Meaningful agentic capabilities locked behind Optimizer as an add-on |
Start now with Supermetrics Campaign Monitor
Most of the best agentic marketing campaign management tools are priced and offered as part of a broader product suite. So, the choice usually comes down to where your data already lives. If you don’t use any of the product suites featured here and want to make a switch, plan for a significant investment and a full-scale data migration.
Suite platforms like Salesforce, Adobe, and HubSpot run agents over data you already own, while Braze and ActiveCampaign integrate agents into the platforms you send from. Relevance AI lets you build an agentic campaign management system from scratch over your existing tech stack, while Supermetrics unifies data across platforms for always-on campaign monitoring.
Supermetrics Campaign Monitor is in its alpha stage and applies only to Google Ads and Meta as of 2026. However, its capabilities make it one of the most reliable agentic campaign management tools, worth using whether you’re a new or existing customer. Campaign Monitor flags performance drift as it happens, surfaces broken links to avoid wasted spend, and helps apply uniform campaign naming conventions to keep reports organized. It’s completely free throughout the alpha stage, and you can join by talking with your Supermetrics contact.
Book a free demo or start a 14-day free trial to learn how Supermetrics can support agentic marketing campaign management.
FAQ
What are the best marketing campaign management tools?
The best option depends on your needs. If you want always-on campaign monitoring across Google Ads and Meta, Supermetrics Campaign Monitor is a solid choice. Braze is a good pick for B2C lifecycle journeys, while Relevance AI is best if you want to build custom multi-agent systems from scratch.
What are Supermetrics Campaign Monitor’s core features and differentiators?
Supermetrics Campaign Monitor runs scheduled checks on connected Google Ads and Meta accounts, then sends Slack or email alerts when performance drifts or a landing page URL breaks. It also flags campaigns that break naming conventions before they’re added to a report. The same checks are available through Supermetrics MCP, allowing you to monitor performance with popular LLMs like Claude or ChatGPT.
What are the most popular agentic AI tools in marketing?
Many of the most widely used platforms in the marketing industry now ship specialized agentic AI for marketing as part of their products. Supermetrics, for instance, is in use by over 200,000 customers across 120 countries, providing alpha access to Campaign Monitor and Supermetrics Agents with every paid plan.
What are the benefits of applying agentic AI in marketing campaign management?
AI agents offer plenty of benefits for marketing campaign management, including:
- Enabling deep personalization beyond what’s possible if done manually
- Taking over time-consuming, repetitive tasks like campaign setup or reporting, opening up more time for marketers to spend on strategy
- Continuously running campaign analysis to detect and adjust for underperformance
- Improving speed and quality in content production, drafting copy and imagery tailored to the segment or even individual level
Will AI replace CRMs?
No. When it comes to marketing, AI doesn’t function without access to a foundation of governed data, such as what’s normally available in a CRM platform. AI is changing the way that teams interact with CRM data, but it cannot replace it.
What are the key governance features you need when deploying autonomous agents?
Autonomous agents require guardrails that manage execution risks. These include always-on accountability tools (such as immutable audit logs and manual review gates for high-risk actions), as well as access controls and permissions that restrict agents’ access exclusively to the databases and integrations required to execute assigned tasks.