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The Knowledge Base is where Alva stores insights extracted from your email conversations — objection handling techniques, product feature discussions, pricing patterns, competitor intelligence, and more. Over time, it becomes a library of what works in your sales process.

Accessing the Knowledge Base

Go to Knowledge Base in the sidebar.

How knowledge is extracted

When Alva analyses your emails, it doesn’t just look for sentiment and signals — it also extracts reusable knowledge. For example:
  • A prospect objected to your pricing, and your rep successfully reframed the value → that’s an objection handling entry
  • A prospect asked about a specific use case, and your rep explained it well → that’s a use case entry
  • A competitor was mentioned in a deal you won → that’s competitor intel
Alva extracts these automatically and adds them to your Knowledge Base as draft entries.

Categories

Knowledge entries are organised into six categories:
CategoryWhat it covers
Product FeaturesHow your team describes and positions features
ObjectionsCommon objections and how they were handled
Use CasesSpecific use cases and how they were explained
PricingPricing discussions, discounting patterns, value framing
Competitor IntelCompetitor mentions, comparisons, win/loss context
OtherEverything else that doesn’t fit the above

The review workflow

Knowledge entries go through a review process:
1

Draft

Alva extracts an insight and saves it as a draft. Drafts need human review before they’re considered reliable.
2

Approved

A team member reviews the draft and approves it. Approved entries are trusted knowledge that Alva can reference in future conversations.
3

Archived

Entries that aren’t useful or are outdated can be archived. They’re removed from active use but kept for reference.

Reviewing entries

From the Knowledge Base page, use the tabs to switch between Draft, Approved, and Archived entries. For each entry, you can:
  • Approve — mark it as reliable knowledge
  • Archive — remove it from active use
  • View the source — see which deal and email thread it came from

Scoring

Each entry has two scores:
  • Confidence score — how confident Alva is that this is a real insight (not noise)
  • Effectiveness score — how successful the approach was (based on deal outcome and email responses)
Entries are sorted by these scores by default, so the most reliable and effective knowledge appears first.

How Alva uses approved knowledge

Approved knowledge entries feed back into Alva’s responses. When you ask Alva for help with an objection, a use case, or competitive positioning, it draws on your Knowledge Base to give advice that’s specific to your business — not generic AI-generated suggestions.
Review your Knowledge Base drafts regularly — especially after closing deals. The insights extracted from won deals are the most valuable, as they capture what actually worked.