Key features tackle the real headaches head-on. You get risk scores for every opportunity, pulling from emails, calls, and CRM data to flag issues early - think a deal stalling because the buyer's tone shifted in recent chats. Conversation analytics dive into sentiment, spotting when pricing objections pop up or competitors enter the mix.
Then there's Miki, the AI assistant that suggests personalized next actions, like drafting a follow-up that addresses specific concerns. Deal scoring isn't vague; it's based on your historical wins and losses, adapting over time. Plus, it integrates seamlessly with Salesforce or HubSpot, no coding required, and provides coaching nudges to reps right in their workflow.
I remember testing it on a tricky enterprise account - the insights shaved days off our usual back-and-forth. This shines for sales teams in complex SaaS or enterprise setups, especially those with 50+ reps handling multi-product deals. RevOps pros love it for board-ready forecasts, while managers use it to coach juniors without micromanaging.
Use cases:
Mid-cycle check-ins to revive at-risk opportunities, weekly pipeline reviews that actually predict Q-end numbers, or even post-loss analysis to refine strategies. Smaller teams might find it overkill, but for scaling orgs, it's a game-changer - one client I know boosted close rates by 18% in under six months.
What sets Aviso apart from, say, Clari or Gong? It's not just monitoring; it's prescriptive. While others report what's happening, Aviso tells you what to do next, learning your unique sales DNA. No generic advice here - it's tailored, and the ROI shows in faster cycles and higher accuracy. I've seen alternatives overwhelm with data, but Aviso keeps it focused, which is huge in fast-paced environments.
Bottom line, if forecast accuracy's been more hope than science, Aviso delivers real clarity. Start with a demo; it's quick and eye-opening. You'll wonder how you managed without it - or at least, that's been my take.
