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When you connect your email, Alva analyses every conversation automatically. This page explains what Alva looks for and where the results appear.

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What Alva analyses

For every email, Alva evaluates:

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Sentiment

How positive or negative the conversation is. Sentiment is tracked over time, so you can see if a deal’s tone is improving or deteriorating.

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Intent

What the sender is trying to do:
  • Request — asking for something (a meeting, information, a proposal)
  • Question — asking a question that needs an answer
  • Commitment — promising to do something
  • Update — sharing information or a status change
  • Objection — raising a concern or pushback

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Urgency

How time-sensitive the email is — low, medium, or high.

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Buying signals

Phrases and patterns that suggest the prospect is moving towards a purchase:
  • Asking about pricing or contracts
  • Requesting a demo or trial
  • Involving additional stakeholders
  • Discussing implementation timelines

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Risk signals

Patterns that suggest the deal might be in trouble:
  • Delays or postponements
  • Reduced engagement
  • Mentions of competitors
  • Budget concerns
  • Stakeholder changes

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Questions

Alva detects questions asked by prospects and tracks whether they’ve been answered. Unanswered questions are flagged — these often represent blockers that need attention.

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Direction-aware analysis

Alva analyses inbound and outbound emails differently:
  • Inbound emails (from prospects) are analysed for intent, buying signals, and questions
  • Outbound emails (from your team) are analysed for what was promised, what questions were addressed, and follow-up commitments
This distinction matters because the same phrases carry different meaning depending on who said them.

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Methodology evidence

If you’re using a sales methodology (MEDDPICC, BANT, or SPICED), Alva extracts methodology evidence from emails. For example:
  • A prospect mentioning their budget → BANT “Budget” evidence
  • A prospect describing their pain point → MEDDPICC “Identified Pain” evidence
  • A prospect discussing their decision process → MEDDPICC “Decision Process” evidence
When Alva finds evidence, it appears as a suggestion badge on the deal’s methodology tracker. Click to review and apply it with one click — no manual typing needed.

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Where results appear

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On email records

Each email in the system shows:
  • Direction badge — inbound or outbound
  • Question count — how many questions were detected and how many are addressed
  • Entity links — direct links to the related deal, contact, and company

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On deal pages

The deal detail page includes an Email Intelligence Panel summarising:
  • All buying signals detected across emails
  • All risk signals
  • Outstanding commitments
  • Unanswered questions
  • Sentiment trend over time

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On the Emails page

Go to Inbox in the sidebar to see all emails with their analysis results. You can filter and search across all conversations.

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Chronological processing

Alva processes emails in chronological order within each thread. This ensures it has proper context — it knows what was said earlier before analysing a later reply. This is especially important for question tracking (knowing which questions have been addressed by subsequent emails).

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How it feeds into deal health

Email analysis is a major input to deal health scoring. Deals with positive sentiment, active engagement, and no unanswered questions score higher. Deals with risk signals, negative sentiment, or long gaps between emails score lower. This all happens automatically — you just need to keep having conversations, and Alva keeps your CRM intelligence up to date.