jayaprakash R.

We found that intent signals by themselves weren't enough. That's why we're building DataviCloud LEO to combine multiple buying signals (intent, hiring, technology changes, engagement, etc.) to improve lead prioritization and reduce false positives.

We’ve seen the same issue across a lot of outbound teams. Apollo/Clay can generate huge lists, but volume ≠ buying intent. Most teams optimize for “matched filters” instead of actual readiness signals - which is why opens look fine but replies feel disconnected from ICP. What’s worked better for us is adding a second qualification layer before outreach: • Website + hiring signal analysis • GTM maturity scoring • Recent tech stack / expansion changes • Intent + engagement enrichment • Revenue-fit prioritization instead of just title-fit That’s actually one of the reasons we built DataviCloud LEO - to help teams move from static lead lists to AI-prioritized accounts that are more likely to convert before SDRs burn sending volume. The biggest shift for us: “Can we find leads?” → easy. “Can we identify who’s likely to care right now?” → that’s the real problem.

Hi Amol R., If you need verified contacts for CEOs, CFOs, and other key roles in India, we can help you get much higher coverage than Apollo.io. I’ll walk you through it.

Sure

Hi Sunny S., Thanks for the context - it’s great to hear you’re working on CRM and ABM, even if on a smaller scale. Here’s where we see a strong fit with DataviCloud’s focus:

We help unify customer and sales data across touchpoints to give teams clearer visibility into pipeline health, engagement trends, and opportunity quality. This makes your CRM not just a system of record, but a system of insight.

Even at a small scale, we enhance ABM by enriching account data, identifying key decision-makers, and surfacing early intent signals - so you can prioritize the right accounts and tailor outreach with precision. Happy to share a quick walkthrough or customize a demo around your current workflows.

Hey Ross D. - totally hear you on the mid-term subscription complexity and CPQ headaches. We’ve worked with teams in similar situations and I think our platform, DataviCloud, could be worth a look. Here’s what we cover:

We're built to unify quote-to-cash across tools like HubSpot and Xero, with a strong focus on flexibility and automation. Happy to set up a quick walkthrough if you’re exploring alternatives to DealHub or MonetizeNow. Either way - good luck with your vendor reviews!

Totally agree, Daniel—internal data alone rarely tells the full story. At DataviCloud, we help RevOps layer in external signals like firmographics, intent, and geographic shifts to make territory planning and forecasting way more actionable. Happy to share more if helpful!

Hey! Yes, we've set something up using Datavicloud, it helps generate real-time insights not just from HubSpot, but also from other key business tools. It’s been super helpful in centralizing data and keeping dashboards always up to date. DMing you more details now!