# Deep Marketer vs Salesforce Agentforce (formerly Einstein)

Deep Marketer records 963 monthly visits with +356.4% month-over-month growth and Contact for Pricing pricing. Salesforce Agentforce (formerly Einstein) records 111,910,743 monthly visits with +2.2% growth and Freemium pricing.

| Metric | [Deep Marketer](https://openaitools.app/tool/deep-marketer) | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) |
| :--- | :--- | :--- |
| Website URL | https://deepmarketer.ai | https://www.salesforce.com/agentforce/ |
| Categories | Google Ads AI, AI Landing Page Builder, AI Ad Generator, AI Advertising | AI App Builder, AI Developer Tools, AI CRM, No-Code&Low-Code |
| Pricing Model | Contact for Pricing | Freemium |
| Monthly Visits | 963 | 111,910,743 |
| MoM Growth Rate | +356.4% | +2.2% |
| Primary Market | India | United States |
| Direct Visits | 343 | 60,741,009 |
| Review Score | 4.1 | 4.4 |
| Saved Count | 0 | 20 |
| Supported Platforms | Website | Website |

## Deep Marketer

Deep Marketer (deepmarketer.ai) positions itself as an always-on Google Ads expert. Rather than logging in to babysit campaigns, you let an AI agent work continuously in the background: it watches performance signals and applies optimizations to bids, budgets, keyword targeting, and ad copy. The pitch is straightforward — reclaim the time spent on manual PPC maintenance while still improving return on ad spend.

What separates it from a purely automated bidding tool is the human-in-the-loop layer. The company says its specialists monitor every change the AI proposes, reviewing both quality and performance. That hybrid model is aimed at advertisers who are uneasy about letting a black box alter live campaigns unsupervised, especially on accounts where brand safety and creative quality matter.

The platform is aimed at Google Ads advertisers — in-house marketers, agencies, and small teams running PPC — who want automation and optimization without hiring more specialists. Pricing is quoted on request, so the right move is to contact the team for a plan tailored to your ad spend and goals.

**Pricing & Plans:** Contact for pricing. Deep Marketer quotes plans individually, typically based on your ad spend and needs, so there is no public rate card.

- **Autonomous 24/7 optimization:** An AI agent continuously monitors and adjusts campaigns instead of relying on periodic manual reviews.
- **Human expert oversight:** Specialists review every AI change for quality and performance before it sticks.
- **Bid and budget tuning:** Adjusts bidding and budget allocation across campaigns to chase better returns.
- **Keyword and targeting refinement:** Continuously refines keyword and audience targeting based on performance data.
- **Ad creative optimization:** Works on ad copy and creative elements to improve click-through and conversion.

**Strengths:** Always-on optimization rather than sporadic manual changes; Human experts review AI actions, adding accountability; Covers bids, budgets, keywords, and creative in one tool; Aimed at improving ROI without extra headcount

**Limitations:** No public pricing, so you must contact sales; Requires access to your Google Ads accounts; Best results depend on sufficient spend and conversion data

[Profile (Markdown)](https://openaitools.app/tool/deep-marketer.md)

## Salesforce Agentforce (formerly Einstein)

Originally launched as Salesforce Einstein for predictive CRM scoring and later Einstein Copilot for conversational assistance, Salesforce's flagship AI platform is now led by Agentforce. Built natively into the Salesforce Platform and grounded in unified enterprise data via Data 360 (formerly Data Cloud), Agentforce moves beyond rigid decision-tree chatbots and passive text generators to deploy autonomous AI agents capable of reasoning through multi-step problems and executing real business actions around the clock.

At the core of the platform is the Atlas Reasoning Engine, which evaluates incoming customer requests or system triggers, retrieves verified context from CRM records and external APIs, formulates an execution plan, and invokes Salesforce Flows, Apex classes, MuleSoft connectors, or verified Model Context Protocol (MCP) servers. In 2026, Salesforce expanded the platform with Long-Horizon Runtime—enabling agents to pursue multi-day workflows with human-in-the-loop oversight—alongside Multi-Agent Orchestration, Agentforce Voice for natural phone interactions beyond legacy IVR, and Agent Optimizer for real-time observability.

Organizations can launch pre-built role agents in clicks using the low-code Agent Builder or customize deterministic logic with Agent Script. Out-of-the-box roles include Customer Service Agents, autonomous Sales Development Representatives (SDRs) that qualify leads and book meetings, Sales Coaches for interactive deal role-play, Commerce Personal Shoppers, and Employee Coworker agents embedded directly inside Slack and Salesforce clouds.

**Pricing & Plans:** Existing Enterprise+ customers can start free via Salesforce Foundations ($0); usage-based options include Flex Credits at $500 per 100,000 credits ($0.10 per standard action, $0.15 per voice action), $2 per customer conversation, or $2 per Help Agent resolution, while unmetered employee seat add-ons cost $125–$150/user/month and Max (Agentforce 1) Editions start at $550/user/month.

- **Atlas Reasoning Engine & Long-Horizon Runtime:** Deconstructs complex queries into multi-step action plans grounded in Data 360, retaining state across days or weeks to complete multi-touch operational workflows with human escalation guardrails.
- **Low-Code Agent Builder & Agent Script:** Configure custom agents, subagents, natural-language instructions, and deterministic guardrails using existing Salesforce Flows, Prompt Builder templates, Apex code, and MuleSoft APIs.
- **Multi-Agent Orchestration & MCP Interoperability:** Coordinate specialized subagents across departments and connect securely to external enterprise tools through verified Model Context Protocol (MCP) servers from AgentExchange partners.
- **Agentforce Voice & Omnichannel Deployment:** Replace rigid telephone IVR trees with low-latency conversational voice agents alongside unified deployments across web chat, WhatsApp, SMS, mobile apps, and Slack.
- **Pre-Built Role Agents & Agent Optimizer:** Deploy ready-made Service, SDR, Sales Coach, Buyer, and Merchandiser agents out of the box, then monitor resolution accuracy and bottlenecks in near real time with Agent Optimizer.

**Strengths:** Deep native access to Salesforce CRM objects, Flows, Apex logic, MuleSoft integrations, and Data 360 without brittle third-party syncing.; Flexible 2026 billing models let enterprises choose between per-action Flex Credits ($0.10/action), $2 per conversation, $2 per resolution, or unmetered per-user licenses.; Enterprise-grade Einstein Trust Layer enforces zero data retention with external LLM providers, PII masking, and toxicity detection.; Supports open multi-agent interoperability via Model Context Protocol (MCP) and Long-Horizon multi-day task execution.

**Limitations:** Consumption pricing across Flex Credits, Data 360 credits, and seat add-ons is complex to forecast and prevents mixing Flex Credits and Conversation meters in the same org.; Requires clean, well-structured Salesforce CRM and Data 360 governance to avoid inaccurate agent actions.; Full enterprise capabilities carry a steep total cost of ownership, with top-tier Max / Agentforce 1 editions reaching $550 per user per month.

[Profile (Markdown)](https://openaitools.app/tool/salesforce-einstein.md)

## Frequently Asked Questions

### How do Deep Marketer and Salesforce Agentforce (formerly Einstein) compare in monthly traffic?

Deep Marketer has 963 monthly visits, while Salesforce Agentforce (formerly Einstein) has 111,910,743. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Deep Marketer has a month-over-month growth rate of +356.4%; Salesforce Agentforce (formerly Einstein) has +2.2%.

### How does pricing compare?

Deep Marketer: Contact for Pricing. Contact for pricing. Deep Marketer quotes plans individually, typically based on your ad spend and needs, so there is no public rate card. Salesforce Agentforce (formerly Einstein): Freemium. Existing Enterprise+ customers can start free via Salesforce Foundations ($0); usage-based options include Flex Credits at $500 per 100,000 credits ($0.10 per standard action, $0.15 per voice action), $2 per customer conversation, or $2 per Help Agent resolution, while unmetered employee seat add-ons cost $125–$150/user/month and Max (Agentforce 1) Editions start at $550/user/month.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Zapier](https://openaitools.app/tool/zapier-com) | 5,065,248 | +0.4% | Freemium, Free Trial, Paid | Automate work across thousands of apps — no code required | [.md](https://openaitools.app/tool/zapier-com.md) |
| 2 | [Intercom](https://openaitools.app/tool/intercom-com) | 4,471,110 | +2.7% | Free Trial, Paid | Exceptional customer support and helpdesk workflow automation, but less suited for broad enterprise CRM and sales execution. | [.md](https://openaitools.app/tool/intercom-com.md) |
| 3 | [Gong – Revenue AI OS](https://openaitools.app/tool/gong-io) | 2,337,769 | +3% | Contact for Pricing | Superior revenue intelligence and call analytics, but specialized for sales insights rather than general agentic workflow automation. | [.md](https://openaitools.app/tool/gong-io.md) |
| 4 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | Visual no-code builder for custom AI agents, but lacks Salesforce's native enterprise data connectors and CRM structure. | [.md](https://openaitools.app/tool/mindstudio.md) |
| 5 | [Attio](https://openaitools.app/tool/attio) | 1,652,928 | -4.2% | Free Trial, Contact for Pricing | Modern customizable CRM with built-in AI agents, but lacks the massive enterprise ecosystem and scale of Salesforce. | [.md](https://openaitools.app/tool/attio.md) |
| 6 | [Chatbase](https://openaitools.app/tool/chatbase) | 396,383 | -7% | Freemium, Paid | Simple no-code AI chatbot deployment, but less equipped for complex enterprise-grade CRM automation and multi-system agents. | [.md](https://openaitools.app/tool/chatbase.md) |
| 7 | [Sierra](https://openaitools.app/tool/sierra) | 341,072 | +16.4% | Contact for Pricing | Delivers exceptionally polished customer service agents, but focuses on bespoke conversational AI rather than broad CRM workflows. | [.md](https://openaitools.app/tool/sierra.md) |
| 8 | [Relevance AI](https://openaitools.app/tool/relevance-ai) | 192,083 | -15.5% | Free Trial, Contact for Pricing | Offers flexible no-code multi-agent workforce building, but lacks Salesforce's deep CRM data integration and native enterprise security. | [.md](https://openaitools.app/tool/relevance-ai.md) |
| 9 | [Beam AI](https://openaitools.app/tool/beam-ai) | 157,935 | +37.6% | Contact for Pricing | Automates manual business processes into workflows, but lacks Salesforce's unified CRM architecture and enterprise agent ecosystem. | [.md](https://openaitools.app/tool/beam-ai.md) |
| 10 | [Kore.ai](https://openaitools.app/tool/kore-ai) | 143,328 | -18.2% | Contact for Pricing | Powerful enterprise conversational AI platform, but requires external integration rather than native Salesforce CRM embedding. | [.md](https://openaitools.app/tool/kore-ai.md) |

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Source: https://openaitools.app/compare/deep-marketer-vs-salesforce-einstein

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