Splattr is built for any sales team that wins by reaching the right people with the right message, from founders and individual reps to full revenue teams. It's especially powerful for considered, research-heavy sales like consulting, staffing, and IT services, but customers across a wide range of industries use it to prioritize their market and personalize outreach at scale.

How is Splattr different from Apollo, ZoomInfo, Seamless, Clay, and Instantly?

Those tools are mostly contact databases and sending engines. They hand you names, emails, or a way to blast them. Splattr sits a step earlier: it's a targeting and scoring engine that figures out who is most likely to buy right now and why, then tells you how to start the conversation. Instead of a generic ICP list, Splattr researches every prospect through the lens of what you actually sell, layering in buying signals, hiring data, and tech stack to score and rank them.

How does Splattr find and score the right prospects?

You train an agent on what you sell, and Splattr scores prospects across your market by analyzing publicly available data like buying signals, hiring and job-posting activity, and technology footprint, all measured against your specific offer. Each prospect gets a score plus clear reasoning for why they ranked where they did, so you can prioritize with confidence.

Can I customize how prospects are scored?

Yes. Scoring is driven by the agent you train on each offer, so the criteria reflect your product, your differentiators, and your ideal buyer, not generic out-of-the-box filters. Companies selling multiple products can run a separate scoring lens for each offer.

What intelligence do I get on each prospect?

Every prospect comes with a score and the reasoning behind it, specific leverage points for your outreach, detected business signals (financial, strategic, and hiring/job changes, with sources), hiring metrics, and the company's technology footprint. It's the research that used to take 30+ minutes per prospect, ready in seconds.

Does Splattr integrate with my CRM and outreach tools?

Yes. Splattr offers a direct HubSpot integration so your scored prospects flow straight into your CRM, with Salesforce support coming soon. You can also export any list to CSV to use in other outreach tools.

How does pricing work?

Splattr is $12 per seat per month to keep your account active, and everything else runs on credits, so you only pay for the prospecting you actually do. You can go fully pay-as-you-go at $0.0299/credit, or save with a credit bundle (down to about $0.017/credit). All features are included on every plan.

What does each action cost?

Different actions use different amounts of credits: Find & score a prospect — 8 credits Look up a LinkedIn profile — 4 credits Find contacts at a company — 2 credits Research report — 8 credits Company report — 20 credits Email lookup — 6 credits Phone lookup — 15 credits Chatting with Splattr's AI assistant also uses credits, based on how much you use it.

Is there a free trial, and how do I get started?

Yes. You can score your first prospects free, no credit card required. Just tell Splattr what you sell, answer up to nine quick questions to train your agent (about 3 minutes), and you'll have scored, prioritized prospects in under 10 minutes.

How quickly will I see results?

Most users go from signup to their first qualified, scored prospects in under 10 minutes, and start personalizing outreach the same day.

How is my data handled and kept secure?

Splattr scores prospects using publicly available data, and we treat your account data as your own. We don't sell your data or use your content to train models that benefit other customers. Your data is hosted on Amazon Web Services in the United States, encrypted in transit and at rest, with role-based, least-privilege access controls. Payments are handled by our PCI-compliant processor, and we never store your card details. Full details are in our Privacy Policy and Data Processing Addendum.

Can my whole team use Splattr together?

Yes. Teams get a shared full-team view and can share campaigns across users, so everyone works from the same prospecting engine. On the Business plan you also get a shared credit pool, per-user spending controls, and dedicated support.

Connect Your AI Agent to Your Sales Pipeline

Most AI tools are great at answering questions. They are less great at actually doing things inside your workflow. That is changing. A new standard called the Model Context Protocol (MCP) lets AI assistants connect directly to the tools you use every day, and Splattr now supports it. ## What is MCP? MCP is an open standard, originally developed by Anthropic, that gives AI assistants a secure, structured way to take action inside external software. Think of it as a plugin system for AI. Instead of copy-pasting data in and out of a chat window, your AI can read from and write to your tools directly. If you use Claude, Cursor, or any MCP-compatible assistant, Splattr can now appear natively inside it. ## What you can do Once connected, your AI assistant can: - **Find prospects.** Run a campaign search and surface the best-fit accounts based on your ICP. - **Score and prioritize.** Get scored prospect lists without touching a dashboard. - **Enrich contacts.** Look up verified emails and phone numbers for any prospect in your pipeline. - **Generate research reports.** Trigger a deep-dive report on any account, ready to use before your first call. - **Push to your CRM.** Send qualified prospects directly to HubSpot, Salesforce, or another connected CRM. - **Check your credit balance.** Know where you stand without logging in. All of it is available through natural language. You ask, your AI handles it. ## A real example Say you are preparing for a strategy session with your team. Instead of opening Splattr, pulling reports, and summarizing manually, you can ask your AI directly: > "Run the SaaS Mid-Market campaign and send me the top 10 prospects with emails enriched." Your assistant calls Splattr, runs the search, enriches the contacts, and returns the results, in the same window you are already working in. For technical users, every action is backed by a structured API. You can inspect the full list of available tools, their inputs, and their behavior in the [Splattr MCP Tools Reference](/docs/mcp/tools). ## Who this is for You do not need to be a developer to use this. If you are already using Claude Desktop or Cursor as part of your daily workflow, adding Splattr takes a few minutes. Follow the [quickstart guide](/docs/mcp/quickstart) to get connected. For teams building custom AI workflows or internal agents, the MCP server exposes a documented JSON schema you can query programmatically, no manual syncing required. ## Why this matters The shift toward AI-assisted work is not about replacing sales reps. It is about removing the friction between research, prioritization, and outreach. With MCP, Splattr becomes part of your AI's context, not a separate tab you have to manage. That means faster prep, tighter execution, and less time spent moving data around. We are just getting started with what is possible here. If you have ideas for how this could fit into your workflow, we want to hear them. Get started at [splattr.ai/docs/mcp/quickstart](/docs/mcp/quickstart).

Put this into practice