Build a Waalaxy LinkedIn networking sequence for target buyers

Start by defining one LinkedIn segment in Airtable before opening Waalaxy. Capture target titles, company type, geography, company size, trigger signal, likely pain, disqualifiers, and the reason this person would accept a connection. Do not mix founders, operators, partners, and executives in the same sequence because the message will become generic. QA check: the segment should be specific enough that a rep can explain the relevance in one sentence.

Define one narrow LinkedIn outreach segment for {{product_or_service}}.

Target market:
{{target_market}}

Problem we solve:
{{problem_solved}}

Current campaign goal:
{{campaign_goal}}

Output:
1. Target titles
2. Company types
3. Trigger signals
4. Likely business problem
5. Disqualifiers
6. Why a connection request would feel relevant
7. Message angles to test
8. QA rules for excluding bad-fit profiles

Use LinkedIn Sales Navigator to find 50-100 prospects that match the segment. Save name, title, company, LinkedIn URL, geography, company size, source search, and why the person fits. Keep the first list small enough that you can manually inspect quality before automation. QA check: remove rows with missing LinkedIn URLs, irrelevant titles, unclear company fit, inactive profiles, or profiles outside the agreed segment.

Audit the source list before importing to Waalaxy. Flag competitors, recruiters, students, agencies, vendors, job seekers, people outside the territory, and contacts who are unlikely to own or influence the problem. Add a review status for approve, reject, or manual review, plus an exclusion reason. QA check: no prospect should enter Waalaxy unless the fit reason and review status are filled in.

Audit this LinkedIn prospect list for outreach quality.

Segment definition:
{{segment_definition}}

Prospect rows:
{{prospect_rows}}

For each row, return:
1. Approve, reject, or manual review
2. Fit reason
3. Risk reason if any
4. Suggested segment tag
5. Personalization clue if visible
6. Exclusion reason if rejected

Be conservative. Protect sender reputation.

Design the sequence before writing copy: profile view, connection request, accepted-connection message, value follow-up, soft CTA, and stop conditions. In Waalaxy, choose or create a sequence that respects delays between actions and stops when someone replies. Keep the campaign focused on starting a conversation, not forcing a meeting request after every acceptance. QA check: every step needs a purpose, an exit rule, and a reason it is appropriate for LinkedIn.

Design a respectful LinkedIn networking sequence for {{segment_definition}}.

Offer or conversation topic:
{{offer_or_topic}}

Constraints:
{{sequence_constraints}}

Output:
1. Sequence steps
2. Delay between steps
3. Message purpose for each step
4. Stop conditions
5. When to move to CRM
6. Safety notes
7. What not to automate

Keep it low-pressure and human.

Use Claude to write 3-5 connection request variants for the segment. Each note should be under the platform character limit, reference a relevant role challenge or shared context, and avoid pitching. Store the variants in Airtable with angle, use case, approval status, and notes. QA check: reject any variant that asks for a demo, uses fake flattery, or could be sent to any buyer in any industry.

Write 5 LinkedIn connection request variants for {{segment_definition}}.

Context to use:
{{relevance_context}}

Rules:
- Keep each under 250 characters
- No pitch
- No fake flattery
- No 'pick your brain'
- Reference a role challenge, event, trend, or shared context
- Make each variant meaningfully different

Return angle, message, and QA risk for each variant.

Create short follow-up messages for prospects who accept the request. Use a helpful observation, resource, question, or light point of view before asking for time. Write separate variants for educational, event-based, problem-based, and resource-led angles so reps can choose the one that feels natural. QA check: the first message after acceptance should not sound like a bait-and-switch pitch.

Write accepted-connection follow-up messages for {{segment_definition}}.

Connection request context:
{{connection_context}}

Useful resource or point of view:
{{resource_or_pov}}

Create 5 variants:
1. Educational
2. Event-based
3. Problem-based
4. Resource-led
5. Short conversational question

Rules:
- Under 90 words
- No hard pitch
- End with a low-pressure question
- Sound like a real person
- Do not overstate personalization

Define how reps should respond to common LinkedIn replies before the sequence goes live. Cover interested, send info, not now, wrong person, already using a competitor, no budget, no authority, and negative replies. Put the response guidance in Airtable or a shared doc and include when to stop, when to route to CRM, and when to ask a follow-up question. QA check: every reply template should be shorter and more human than the original outbound message.

Create reply handling guidance for this LinkedIn outreach sequence.

Segment:
{{segment_definition}}

Offer or conversation topic:
{{offer_or_topic}}

Brand voice:
{{brand_voice}}

Write short responses for:
1. Interested
2. Send info
3. Not now
4. Wrong person
5. Already using competitor
6. No budget
7. No authority
8. Negative reply

Include when to stop, when to route to CRM, and when to ask a follow-up question.

Import only approved prospects into Waalaxy and map the sequence steps, delays, daily action limits, stop-on-reply rules, and campaign tags. Start below the tool's maximum action limits and avoid stacking multiple aggressive campaigns on the same LinkedIn profile. Add a campaign naming convention that includes segment, date, owner, and test version. QA check: review the exact sequence preview before launch so the wrong message cannot go to the wrong segment.

Launch the campaign to 15-25 approved prospects instead of the full list. Watch connection acceptance, replies, negative responses, profile views, and whether prospects appear to match the segment. Pause if the first replies reveal weak targeting, unclear relevance, or awkward copy. QA check: do not scale until the test batch has at least one manual review cycle and a documented decision to continue, revise, or stop.

Export the test batch performance from Waalaxy into Airtable and review sent, accepted, replied, positive reply, negative reply, booked meeting, and CRM-created counts. Use Claude to diagnose whether the bottleneck is targeting, connection request, follow-up relevance, CTA, or timing. Rewrite only the weak step instead of changing the whole sequence at once. QA check: keep one control version live long enough to know whether your changes improved the actual bottleneck.

Analyze this LinkedIn outreach test.

Campaign metrics:
{{campaign_metrics}}

Message variants:
{{message_variants}}

Segment definition:
{{segment_definition}}

Diagnose:
1. Targeting quality
2. Connection note performance
3. Accepted-message performance
4. CTA strength
5. Negative reply pattern
6. Recommended changes
7. What to keep as the control

Do not recommend changing everything at once.

For positive replies, create or update the contact in HubSpot and log the source as LinkedIn outreach. Add reply status, owner, next step, follow-up due date, and conversation summary. If the reply is not sales-ready, create a nurture task instead of forcing a meeting. QA check: every qualified reply should leave LinkedIn and enter a shared system so opportunities do not stay trapped in one rep's inbox.

After each campaign cycle, capture which segment, connection note, follow-up angle, CTA, and reply handling pattern produced the best conversations. Save the winning pattern in Airtable with screenshots or examples, but redact private buyer details. Use the pattern as a starting point for the next segment rather than cloning it blindly. QA check: the documented play should include when not to use it, because LinkedIn outreach patterns decay when overused.

Summarize the winning LinkedIn outreach pattern from this campaign.

Campaign results:
{{campaign_results}}

Best message examples:
{{best_messages}}

Reply patterns:
{{reply_patterns}}

Output:
1. Winning segment
2. Best connection note
3. Best follow-up angle
4. CTA that worked
5. Common replies
6. Objections
7. What to avoid
8. Recommended next test

Keep private prospect details out of the summary.