Finding Warm Paths to Prospects

Edge

Cold DMs on LinkedIn convert at roughly 2%. A warm introduction — through someone who already engages with your content and knows people at the target company — changes the equation entirely. Flux's constellation tools map these paths automatically, turning your engagement graph into a relationship map you can act on.

What you'll learn

Creating a campaign and adding target accounts
Discovering connection chains between you and target accounts
Scoring connections by warmth and relevance
Reading the specific path between you and a prospect
Prioritizing who to contact first using pool types and scores
Preparing talking points before reaching out
Logging outcomes and reviewing campaign performance

How do I set up a campaign for target accounts?

Before Flux can map paths, it needs to know where you are trying to reach. A campaign defines the outreach goal and the accounts you are targeting.

Ask Claude to create a campaign with a name that reflects the objective — something like "Q3 Enterprise Pipeline" or "Series B Prospects." Then add the specific company accounts you want to reach:

create_campaign(name: "Q3 Enterprise Pipeline")
add_campaign_accounts(campaign: "Q3 Enterprise Pipeline", companies: ["Acme Corp", "Initech", "Globex"])

You can add accounts at any time as your target list evolves. Each company you add becomes a node in the constellation that Flux will map against your engagement graph.

What does constellation mapping discover?

map_constellation is the core of the warm paths workflow. It scans your engagement history — every person who has liked, commented on, or shared your posts — and looks for chains that connect you to people at your target accounts.

map_constellation(campaign: "Q3 Enterprise Pipeline")

The output is a relationship graph. Flux finds connections you would never spot manually: a product manager who comments on your posts every week and used to work at one of your target companies. A founder who engages with both you and a decision-maker at Acme. These are paths that already exist in your network — constellation mapping surfaces them.

The mapping works best when you have a meaningful posting history. Across Flux's dataset of 25,150 posts from 66 profiles, active posters accumulate hundreds of unique engagers, and the overlap with target accounts is often larger than expected.

Credit cost: Constellation mapping is the most expensive operation in Flux, consuming up to ~175 credits per run. On an Edge plan with 200 credits per month, a single mapping can use most of your monthly budget. Run get_cost_estimate(tool_name: "map_constellation") first to see the exact cost and confirm your balance is sufficient before proceeding.

How does warmth scoring work?

Not every connection is equally useful. score_connections ranks the people in your constellation by how likely they are to produce a successful introduction, based on factors like engagement recency, frequency, and the type of engagement.

score_connections(campaign: "Q3 Enterprise Pipeline")

The result is a ranked list of connections ordered by warmth. High-warmth connections are people who engage consistently, engaged recently, and have a plausible path to your target accounts. Run score_connections again after you add new targets or after Flux refreshes your engagement data to keep the rankings current.

How do I prioritize who to reach out to first?

get_outreach_queue returns a prioritized list of outreach targets across your campaign, ordered by composite score. Instead of deciding where to start, you work the queue.

get_outreach_queue(campaign: "Q3 Enterprise Pipeline")

Each entry in the queue includes the person's details, their pool classification, a recommended action, and any prior outreach log entries. The three pool types tell you how someone connects to your target:

Coworker — currently works at the target company and has engaged with your content. You can reach out directly.
Alumni — used to work at the target company and engages with your content. A warm bridge who can make introductions.
Engager — engages with both your content and the content of someone at the target company. A mutual-connection path.

Work from the top down, and you are always reaching out to the person most likely to respond. You can also filter by pool — for example, ask Claude to show only alumni connections if you want to focus on warm intros.

How do I see the specific path to a prospect?

Once you have scored connections, get_outreach_path shows the chain between you and a specific person. Note that paths are to individuals, not companies — pick a person from your outreach queue or target list.

get_outreach_path(target: "linkedin.com/in/jane-smith")

Instead of a flat list, you see the sequence: you posted about supply chain automation, a VP of Operations at Globex commented, and that VP previously worked with Jane Smith who now runs procurement at Acme. The path can span up to three hops.

Reading the path tells you not just who to ask for an introduction, but what to reference when you ask. The shared context — the post they engaged with, the topic you both care about — is what makes the introduction feel natural rather than transactional.

How do I prepare talking points before reaching out?

Before you message or comment, get_engagement_brief pulls the target's recent posts that most closely overlap with your own posting topics and generates suggested talking points.

get_engagement_brief(target: "linkedin.com/in/jane-smith")

The brief shows which of their posts align with themes you write about, ranked by similarity. Use this to craft a comment on their content that is genuinely relevant, or to reference shared interests in a DM. For a GTM researcher, this is where warm-path data turns into actionable outreach copy.

How do alumni engagers create warm intro paths?

Some of the strongest introduction paths come from people who used to work at your target company and now engage with your content. get_alumni_engagers finds these people automatically.

get_alumni_engagers(company: "Acme Corp")

A former Acme employee who regularly likes your posts is an unusually warm bridge: they know your content, they know people inside the account, and the ask is low-friction because they already have a relationship with you through engagement. These paths are hiding in your audience — alumni engagers surfaces them.

You can also filter by relation to see only alumni, only current employees, or both.

How do I log outcomes and track what works?

After you reach out, log_outcome records what happened. Each entry requires the campaign, the person, and one of four action types:

sent_request — you sent a connection request or message
accepted — they accepted the request
replied — they responded to your outreach
no_response — no reply after a reasonable window

log_outcome(campaign: "Q3 Enterprise Pipeline", person: "jane-smith", action: "replied", note: "Agreed to intro call next week")

These entries feed get_campaign_stats, which shows acceptance and reply rates broken down by pool (coworker, alumni, engager) and score tier. Over time, this tells you which path types convert best — if alumni connections reply at twice the rate of single-hop engager paths, you can focus your efforts accordingly.

get_campaign_stats(campaign: "Q3 Enterprise Pipeline")

FAQ

How many credits does constellation mapping use? map_constellation can cost up to ~175 credits per run — the most expensive operation in Flux. On an Edge plan with 200 credits per month, plan accordingly. Run get_cost_estimate beforehand to see the exact cost for your campaign. Other tools in this workflow — score_connections, get_outreach_queue, get_outreach_path, log_outcome — are free and run against data already in your account.

Can I run warm paths without the MCP tools? The constellation workflow is currently available through Flux's MCP server, which means you use it through Claude, Cursor, or any AI assistant that supports MCP. Ask Claude to map your constellation or show your outreach queue — no code required.

How is this different from LinkedIn Sales Navigator? Sales Navigator shows you connection degree and lets you filter by title and company. Flux's constellation maps engagement-based relationships, not just connection-graph proximity. Someone who comments on your posts weekly but is not a first-degree connection is warmer than a silent second-degree contact.

What if I do not have enough engagement data yet? Constellation mapping works best with a posting history that has generated real engagement. If you are just getting started, focus on posting consistently and building your engagement base first. Even a few weeks of active posting with meaningful reactions and comments gives Flux enough data to start mapping useful paths.

Can I use warm paths for consulting, not just sales? Yes. The same mechanics apply to any relationship-driven outreach — finding speaking opportunities, sourcing partnerships, or connecting with potential collaborators. The warmth scoring is based on engagement patterns, not sales-specific criteria.

Can I run constellation mapping on a profile I track, not just my own? Yes. If you are tracking a client or executive's profile on a paid plan, constellation mapping runs against that profile's engagement data. This is useful for GTM teams running outreach on behalf of a thought leader or executive.

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