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Prospecting & Outreach

Web-Lead Follow-Up Agent

ai

Drafts a personalized follow-up email for each fresh website lead, matching prospect title to a persona, selecting the most relevant product, and queuing it for seller review before send.

Sales Development RepAccount Executive
≤120 words
Per follow-up draft, ready for seller review
4 min
To drafted email vs. 25 min manual research and write
2–3x
More leads worked per rep per day
One lead, end to end

Web lead lands. Draft in queue.

See the follow-up agent take one website lead from CRM entry to a Gmail draft ready for review.

Lead WL-0417

Content Download · Inbound lead sweep

  • AI
  • 4 min to draft
  1. Intake
  2. Organize
  3. Evaluate
  4. Deliver

01 · Intake

Lead captured

Content Download lead landed in the CRM overnight

New case

Packet open
Contact
Website lead · Title on contact record
Lead source
Content Download · Sweep also covers Inbound - Website
Request
Personalized follow-up draft · Seller controls the send
Case packet · 3 sourcesComplete

Incoming

  • CRMNew lead with lead_source setReceived
  • Lead Scoring FeedLead score attachedReceived
  • Persona & Product LibraryBuyer personas and product descriptionsReceived

02 · Organize

Persona matched

Title mapped to the closest buyer persona

Pulled together

Persona matched
  • Lead pulled from CRMlead_source is Content Download
  • Title mapped to personaClosest buyer persona by role type
  • One product selectedSingle most relevant product for that persona

Matched record

Lead source
Content Download
Persona
Closest match by title
Product
Most relevant for persona
Lead score
From scoring feed

03 · Evaluate

Claims grounded

Every claim checked against product data

Checks applied

Draft checked
  • No invented featuresEach claim matches the product descriptionProduct library
  • On-brand positioningTone and messaging follow the positioning guideBrand voice
  • Length and CTAUnder 120 words, one discovery-call CTADraft rules
Deciding finding

Asset-specific opener

The draft opens on the content asset the lead downloaded, the strongest opener in recent sends.

Last 30 days

Reply rate
22%vs. 9% old template
Discovery calls booked
17

04 · Deliver

Draft queued for seller

Gmail draft created, not sent, seller reviews

Draft ready

Gmail draft ready for review

The draft names one product, one proof point and one discovery-call CTA, all grounded in product data.

Length
≤120 words
CTA
Discovery call
Queue order
By lead score

Draft

Gmail

Created, not sent

Human step

Seller

Review and send

Audit trail

  1. Lead pulled from CRMContent Download06:12
  2. Persona and product matched06:13
  3. Gmail draft createdQueued by lead score06:16
  4. Seller reviewPending06:16

4 min to drafted email vs. 25 min manual

Illustrative case · sample data

Use Case 1

Inbound Lead Sweep

Trigger: New website or content-download leads land in the CRM

1.Retrieve leads filtered to inbound and content-download sources
2.Map each contact's title to the closest buyer persona
3.Select the single most relevant product for that persona
4.Draft a sub-120-word email with one proof point and one CTA
5.Ground every claim in product and positioning data
6.Create a Gmail draft per lead for seller review
7.Order the queue by lead score
✓

Every inbound lead gets a personalized, on-brand follow-up draft within minutes, with the seller controlling the send.

Use Case 2

Persona-Gap Handling

Trigger: A lead's title has no exact persona match

1.Detect the absence of an exact persona match
2.Map to the closest persona by role type
3.Note the assumption inline in the draft
4.Avoid claims unsupported by product data
5.Flag the draft for seller confirmation
✓

Ambiguous leads still get a useful draft, with the judgment call surfaced rather than hidden.

Integrations

CRM (Salesforce, HubSpot)
Email (Gmail, Outlook)
Buyer Persona & Product Library
Lead Scoring Feed
Brand Voice / Positioning Guidelines

Industries

all

Built in Actava.ai

See it in action

A conversation that moves the work forward.

An agent at work

Illustrative example

A batch of website leads came in overnight—draft follow-ups.

Web-Lead Follow-Up Agent

I'm pulling the fresh website leads and drafting a short follow-up for each as a Gmail draft. Nothing is sent; you review and send every one.

Inputs used

  • Lead source filter

    Content Download or Inbound - Website

  • Contact title

    Mapped to the closest buyer persona

  • Product description

    Every claim grounded here, no invented features

Seller reviews and sends

I create drafts only. The seller reviews each one and sends it.

Example complete

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Sample scenarios. Actions and outputs are illustrative.