Conversation Signals

1eyeᴬᴵ helps your team understand what happened after outreach starts. Instead of only tracking sent messages, Conversation Signals show engagement across channels and classify replies so your team can quickly find positive, neutral, and negative responses.

Use Conversation Signals to track engagement, understand reply intent, prioritize follow-up, and move active target contacts into the right next step.

Before you begin

To use Conversation Signals, you should have:

1. A 1eyeᴬᴵ workspace

2. Users invited to your workspace

3. Mailbox, LinkedIn, or iMessage connected for users who will send messages

4. Campaigns or workflows using one or more engagement channels

5. ICPs and personas reviewed in your Knowledge Base

6. Target company and target contact lists ready for campaigns

For this guide, we’ll use Snowbricks as the example workspace.

What Conversation Signals capture

Conversation Signals can include activity across engagement channels.

Common Conversation Signals include:

1. Email opens

2. Email replies

3. LinkedIn connection requests sent

4. LinkedIn connection requests accepted

5. LinkedIn messages sent

6. LinkedIn replies

7. iMessage messages sent

8. iMessage reads

9. iMessage replies

10. Message delivery status

11. Follow-up activity

12. Response intent

13. Conversation status

Conversation Signals help your team understand who is engaging, which channel is working, and which responses need attention.

Supported conversation channels

Conversation Signals can come from multiple channels.

Your available channels depend on your plan, connected accounts, user roles, and workspace settings.

How Conversation Signals work

Conversation Signals start when 1eyeᴬᴵ sends or tracks engagement activity.

1. A campaign sends a message
   A target contact receives an email, LinkedIn message, connection request, or iMessage.

2. The contact engages
   The contact may open, read, accept, reply, ignore, or reject the message.

3. 1eyeᴬᴵ captures the activity
   The activity appears as a Conversation Signal.

4. 1eyeᴬᴵ evaluates intent
   When a reply is available, 1eyeᴬᴵ may classify the response as positive, neutral, negative, or another supported status.

5. Your team follows up
   Use the signal and intent to decide the next action.

Conversation intent

Intent is one of the most important parts of Conversation Signals.

When a target contact replies, 1eyeᴬᴵ can help classify the response so your team knows what to do next.

Common intent categories include:

Intent helps your team prioritize attention. A positive response from a target persona at an ICP-matched company should usually be reviewed before lower-priority activity.

Intent filters

Conversation Signals can be reviewed by intent.

Common views include:

1. All
   Shows all conversation activity.

2. Positive
   Shows responses that appear interested or worth follow-up.

3. Neutral
   Shows responses that need review but are not clearly positive or negative.

4. Negative
   Shows responses that indicate no interest, poor fit, or a request to stop.

Use intent filters to focus your team on the conversations that need action.

Email Conversation Signals

Email Conversation Signals show engagement from email activity.

Email signals may include:

1. Email sent

2. Email opened

3. Email replied

4. Follow-up sent

5. Message not delivered when available

6. Conversation intent when available

Email opens can show early engagement, but replies are usually more important.

For example, if a RevOps leader opens an email twice and replies asking for more information, that contact should be reviewed quickly.

LinkedIn Conversation Signals

LinkedIn Conversation Signals show engagement from LinkedIn outreach and activity.

LinkedIn signals may include:

1. Connection request sent

2. Connection request accepted

3. LinkedIn message sent

4. LinkedIn reply received

5. LinkedIn follow-up sent

6. LinkedIn message intent

7. Not delivered when available

LinkedIn Signals are especially useful when target contacts engage with your team before or during a campaign.

For example, if a Head of Data accepts a connection request and replies positively to a LinkedIn message, that conversation should be prioritized.

iMessage Conversation Signals

iMessage Conversation Signals show engagement from iMessage activity.

iMessage signals may include:

1. iMessage sent

2. iMessage read

3. iMessage reply received

4. iMessage follow-up sent

5. iMessage delivery activity

6. iMessage response intent when available

iMessage reads can show that a contact has seen the message. Replies and reply intent help your team decide what to do next.

For example, if a founder reads an iMessage and replies asking for pricing, 1eyeᴬᴵ can help surface that response as a high-priority conversation.

Response signals

Response signals show when a target contact replies.

Responses are usually more actionable than passive engagement because the contact has taken a direct action.

Response signals may include:

1. Email reply

2. LinkedIn reply

3. iMessage reply

4. Positive intent

5. Neutral intent

6. Negative intent

7. Follow-up needed

8. Conversation update

Use response signals to prioritize the contacts most likely to need human attention.

Why response intent matters

Response intent helps your team avoid digging through every message manually.

It helps you:

1. Find interested contacts faster

2. Separate positive replies from neutral or negative replies

3. Route conversations to the right teammate

4. Prioritize follow-up

5. Avoid continuing outreach to contacts who are not interested

6. Improve campaign quality over time

Conversation Signals are not just about whether a message was sent. They help your team understand whether the message created a real opportunity.

Conversation Signals by Company

Use Signals → By Company to review conversation activity at the account level.

This helps you answer:

1. Which companies are engaging with outreach?

2. Which companies have multiple active contacts?

3. Which companies have positive replies?

4. Which companies have negative or not-delivered activity?

5. Which companies should be added to a target list?

6. Which companies need account-level follow-up?

Company-level conversation activity is useful when your team wants to prioritize accounts, not just individual contacts.

Conversation Signals by Contact

Use Signals → By Contact to review conversation activity at the person level.

This helps you answer:

1. Which contacts opened or read messages?

2. Which contacts replied?

3. Which contacts accepted LinkedIn connection requests?

4. Which contacts have positive intent?

5. Which contacts need follow-up?

6. Which contacts should be paused or removed from outreach?

Contact-level conversation activity is useful when your team wants to take action on specific people.

Conversation Signal types

Conversation Signals may appear as different signal types.

Use signal types to separate channel activity from reply intent.

Search Conversation Signals

Use search to find a specific company, contact, domain, or conversation.

Examples:

northstar
jordan
revops
positive
pricing

northstar
jordan
revops
positive
pricing

northstar
jordan
revops
positive
pricing

Search is useful when you know which account, person, or topic you want to review.

Filter Conversation Signals

Use filters to narrow Conversation Signals.

You can filter by:

1. Company

2. Contact person

3. Persona

4. ICP

5. Signal type

6. Date range

7. Intent when available

Useful filters include:

1. Positive replies

2. Neutral replies

3. Negative replies

4. Email activity

5. LinkedIn activity

6. iMessage activity

7. Responses

8. Recent activity

Filters help your team focus on the conversations that need attention.

Filter by channel

Use channel filters when you want to review activity from a specific channel.

Examples:

1. Email only

2. LinkedIn only

3. iMessage only

4. Response only

This helps your team understand which channels are driving engagement.

Filter by intent

Use intent filters to focus on reply quality.

Examples:

1. Positive

2. Neutral

3. Negative

4. Not delivered

Use this when you want to prioritize follow-up or clean up campaign activity.

Filter by date range

Use date range to review Conversation Signals from a specific period.

Examples:

1. Today

2. Yesterday

3. Last 7 days

4. Last 30 days

5. Current campaign window

6. After a new sequence launched

7. After a LinkedIn campaign

8. After an email campaign

Date filters help your team connect replies and engagement to campaign activity.

Sort Conversation Signals

Use sort to change the order of Conversation Signals.

You may sort by:

1. Most recent activity

2. Highest signal count

3. Company name

4. Contact name

5. Created date

6. Updated date

Use sorting to prioritize the newest or most active conversations first.

Export Conversation Signals

Use Export CSV to download Conversation Signal data.

Export is useful when you want to:

1. Share reply activity with your team

2. Review campaign performance

3. Analyze engagement in a spreadsheet

4. Send conversation activity to RevOps

5. Review positive replies with sales

6. Track channel performance over time

7. Compare email, LinkedIn, and iMessage engagement

Before exporting, use filters to narrow the data.

For example:

1. Filter by Positive intent

2. Select the last 7 days

3. Export CSV

This gives your team a cleaner export focused on actionable conversations.

Recommended workflow: positive replies

Use this workflow when you want to follow up on high-priority responses.

1. Open Conversation Signals

2. Filter by Positive

3. Review the contact and company

4. Check persona and ICP match

5. Review the message context

6. Assign follow-up or respond directly

7. Move the contact to the right next step

8. Update the target list or campaign if needed

This workflow helps your team act quickly on interested target contacts.

Recommended workflow: neutral replies

Use this workflow when replies need judgment.

1. Open Conversation Signals

2. Filter by Neutral

3. Review the full message context

4. Check the contact’s persona

5. Check the company’s ICP match

6. Decide whether to follow up, pause, or re-route

7. Update the conversation as needed

Neutral replies can become opportunities, but they usually need human review.

Recommended workflow: negative replies

Use this workflow when a contact is not interested or not a fit.

1. Open Conversation Signals

2. Filter by Negative

3. Review the reply

4. Confirm whether the contact should be paused

5. Update the target list or campaign if needed

6. Add the company to exclusions if appropriate

7. Avoid unnecessary follow-up

Negative signals are useful because they help your team protect deliverability, avoid poor-fit contacts, and improve targeting.

Recommended workflow: channel performance

Use this workflow when you want to understand which channels are working.

1. Open Conversation Signals

2. Filter by channel, such as Email, LinkedIn, or iMessage

3. Review opens, reads, replies, and intent

4. Compare positive, neutral, and negative responses

5. Identify which channel is creating the best conversations

6. Adjust campaigns based on performance

This workflow helps your team improve outreach strategy over time.

How Conversation Signals connect with campaigns

Conversation Signals help you understand what happens after a campaign starts.

A campaign may generate:

1. Email opens

2. LinkedIn connection requests

3. LinkedIn messages

4. iMessages

5. Reads

6. Replies

7. Follow-ups

8. Intent classifications

9. Not-delivered activity

This gives your team a feedback loop from campaign action to contact response.

Instead of guessing whether outreach is working, Conversation Signals show which contacts engaged, which channels created responses, and which replies need follow-up.

How Conversation Signals improve targeting

Conversation Signals also help improve your future targeting.

Use them to learn:

1. Which ICPs are responding

2. Which personas are responding

3. Which messages are creating positive intent

4. Which channels are producing real conversations

5. Which target lists are too noisy

6. Which exclusions should be added

7. Which campaigns should be paused or adjusted

Over time, Conversation Signals help your team refine ICPs, personas, lists, and campaign strategy.

Best practices

1. Prioritize positive replies first
   Positive intent usually deserves the fastest follow-up.

2. Review neutral replies carefully
   Neutral replies may still be useful, but they need context.

3. Respect negative replies
   Do not keep pushing contacts who are clearly not interested.

4. Use channel filters
   Review email, LinkedIn, and iMessage performance separately.

5. Review intent with ICP and persona fit
   A positive reply from a target persona at an ICP-matched company is usually high priority.

6. Act on recent replies quickly
   Fresh replies are more valuable than old replies.

7. Use conversation data to improve campaigns
   Adjust messaging, targeting, and follow-up based on what people actually respond to.

8. Watch not-delivered activity
   Delivery issues can indicate channel, contact, or data quality problems.

9. Keep target lists clean
   Use negative and not-delivered signals to improve lists over time.

10. Use Conversation Signals as a feedback loop
    The best campaigns improve based on real response data.

Troubleshooting

I do not see Conversation Signals

Check:

1. Campaigns are active

2. Messages have been sent

3. Channels are connected

4. Users have the right role

5. You are viewing the correct date range

6. Filters are not hiding activity

I see sent messages but no replies

This can happen when target contacts have not replied yet.

Check:

1. Campaign timing

2. Follow-up schedule

3. Message quality

4. Target list quality

5. Channel connection status

6. Whether replies are available for that channel

I see email activity but not LinkedIn activity

Check:

1. LinkedIn accounts are connected

2. The campaign includes LinkedIn steps

3. LinkedIn activity has occurred

4. You are not filtering out LinkedIn signals

I see LinkedIn activity but not iMessage activity

Check:

1. iMessage lines are connected

2. The campaign includes iMessage steps

3. iMessage activity has occurred

4. You are not filtering out iMessage signals

Reply intent looks wrong

Review the full message context.

Intent classification helps prioritize conversations, but your team should review important replies before taking action.

Too many negative replies

Review:

1. Target list quality

2. ICP fit

3. Persona fit

4. Message relevance

5. Campaign timing

6. Channel selection

7. Offer or call to action

Negative replies are a signal that targeting or messaging may need improvement.

Too many neutral replies

Review:

1. Message clarity

2. Call to action

3. Personalization

4. Target persona

5. Follow-up logic

Neutral replies often mean your message created some engagement but not enough urgency.

Messages are not being delivered

Check:

1. Channel connection

2. Contact data quality

3. Sending limits

4. User schedule

5. Campaign status

6. Delivery status if available

Export is too noisy

Before exporting:

1. Filter by channel

2. Filter by intent

3. Select a recent date range

4. Filter by ICP or persona

5. Export only the focused view

FAQ

What are Conversation Signals?

Conversation Signals are activity from email, LinkedIn, iMessage, replies, reads, opens, connection requests, messages, and response intent.

Which channels create Conversation Signals?

Conversation Signals can come from email, LinkedIn, and iMessage depending on what is connected and used in campaigns.

Do email opens count as Conversation Signals?

Yes. Email opens can appear as conversation-related engagement signals when available.

Do iMessage reads count as Conversation Signals?

Yes. iMessage reads can be tracked as Conversation Signals when available.

Do LinkedIn connection requests count as Conversation Signals?

Yes. Connection requests sent and accepted can appear as LinkedIn Conversation Signals.

Do LinkedIn messages count as Conversation Signals?

Yes. LinkedIn messages sent and replies received can appear as Conversation Signals.

Does 1eyeᴬᴵ classify response intent?

Yes, when available. 1eyeᴬᴵ may classify responses as positive, neutral, negative, or not delivered.

What is positive intent?

Positive intent means the contact appears interested, asks a question, requests more information, or shows intent to continue.

What is neutral intent?

Neutral intent means the contact replied, but the response is unclear, informational, or not strongly positive or negative.

What is negative intent?

Negative intent means the contact is not interested, is not a fit, or asks not to be contacted.

What does not delivered mean?

Not delivered means the message could not be delivered when delivery status is available.

Can I filter Conversation Signals by intent?

Yes. You can review all conversations or focus on positive, neutral, negative, and other supported statuses.

Can I export Conversation Signals?

Yes. Use Export CSV to download the current conversation signal view.

How should I use Conversation Signals?

Use Conversation Signals to prioritize follow-up, understand channel performance, improve messaging, and refine targeting.

Next step

Next, go to View by Company to understand how 1eyeᴬᴵ organizes company-level signal activity.