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.

Agentic AI in Sales: Great Until You Get Past the First Demo

The agentic AI takeover in sales is genuinely incredible, right up until you get past the first demo. You have seen the posts. "X just killed Y." They get enormous attention. Then six months later, the Y in question is still doing pretty well for something that was supposedly dead. The gap between the headline and the follow-through is the whole story. ## Flexibility is where it breaks A large share of ambitious agentic AI projects get abandoned before they deliver, and the most common reason is flexibility. Agents are excellent at niche, well-defined tasks. The moment you introduce an edge case, you rediscover your appreciation for the human brain. Sales is made of edge cases. Context, judgment, and the odd situation that does not match any template are exactly the things that drive revenue, and they are exactly the things a rigid agent handles worst. That is why a demo can look flawless and a rollout can stall. The demo runs on the happy path. The job does not. ## Keep the agent in its lane The version that actually survives contact with a real sales team is not "the agent does everything." It is a clear division of labor. Let the agent do what it is genuinely great at: research. Pulling together the data, finding the signals, assembling the context no human has time to gather. Then keep the human in the driver's seat for the dynamic part of the role: the judgment, the communication, the read on a specific person in a specific moment. The pendulum between "AI is taking over" and "AI is useless" keeps swinging. The useful answer is neither extreme. It is defining the middle, where the agent does the homework and the human makes the call. ## The takeaway Do not evaluate agentic AI on the demo. Evaluate it on the edge cases, and on who is holding the wheel when the situation does not fit the script. The tools that last are the ones that know what they are good at and leave the rest to the people who close deals.

Put this into practice