Reach that arrives in the calendar.

1. The reactors become rows A table bound to the person pulls the profiles of everyone who reacted to your posts. A schedule keeps fetching new reactions on its own once a new post goes out.
2. Fill in what is missing Each profile gets company, role, company size and a verified email address. What one provider cannot deliver, the next one in the waterfall tries.
3. Check against your ICP A qualification step scores every person against the stored ideal customer profile and sets a gate. Anyone who does not fit does not move on, and stops costing money.
4. The post becomes the opener The outreach refers to the exact post the person reacted to, and to what they said. That is the difference between cold outreach and joining a conversation that already happened.
5. Enrol and let them reply Qualified people enter a sequence across LinkedIn and email. Replies are detected, classified and answered, and a request for a meeting gets booked.

Vorher verbunden sein muss: A connected LinkedIn profile · Posts that actually get reactions

1. Find the right posts An agent watches your topic area and flags posts getting unusual traction. Not every post is a find. What you are looking for is reach on your topic, not reach as such.
2. Author and reactors arrive separately For a given post the source returns both: the person who wrote it, and the people who reacted. The author carries the value POST_AUTHOR in the interaction type column.
3. The gate on POST_AUTHOR This is exactly where the two plays part ways. This one filters on POST_AUTHOR and leaves the reactors alone. The author took a public position, the likers only nodded.
4. Enrich and check against the ICP The person gets company, role, size and a verified email address. Then they are scored against your ideal customer profile, because reach alone does not make a buyer.
5. Their own post is the opener The outreach refers to what the person wrote, to their argument rather than their job title. Someone who takes a public position expects disagreement or a follow-on, not a pitch.
6. Enrol across two channels LinkedIn and email run in one sequence. Replies are detected and classified, and whoever replies on one channel stops being contacted on the other.

Vorher verbunden sein muss: A connected LinkedIn profile · Named topics or search terms to watch

1. The ICP comes from real data What your best customers have in common is derived from them: industry, size, region, technology, the role of the decision maker. The result lands in the workspace knowledge, where it can be read and changed.
2. Search for lookalikes A lookalike source finds companies matching that pattern and attaches them as rows. The source keeps running on a schedule if you want it to.
3. Verify against the ICP Resemblance is not proof. Every company found is scored against the derived profile, and only what passes moves on.
4. Find the right people Each company gets the contacts in the role that decided at your existing customers, not just any contact but the same function.
5. Two channels, one plan Email and LinkedIn run inside one sequence, not in two separate tools. Whoever replies on one channel stops being contacted on the other.
6. Scale the winner Which variant, which industry and which opener actually produce meetings is in the workspace numbers afterwards, and becomes the basis for the next round.

Vorher verbunden sein muss: A list of your best existing customers

1. The list exists anyway You do not need a second process. The rows researched, enriched and scored against the ICP for outbound already are the better audience.
2. Qualify before the ad spend Gate first, export second. Anyone outside the profile costs neither a message nor a click.
3. Push it to the ad account The checked rows go into the ad account as an audience. Not interest targeting, but named companies and people.
4. Both channels on one message The ad uses the same opener as the sequence. Whoever gets the message sees the ad, and the other way round.
5. Measure it back Someone replying after seeing an ad is the same lead in the workspace. The ad's contribution becomes visible instead of disappearing into the ad account.

Vorher verbunden sein muss: An ad account (LinkedIn, Meta or another)

1. Reactions become data Whoever likes and comments lands in a table with company, role and industry, instead of in a notification nobody reviews.
2. Describe the audience Which roles, which industries, which company sizes. After a few posts there is a profile that was not guessed.
3. Hold topics against resonance Which post reached whom. The topics that move your ICP often differ sharply from the ones that collect the most likes.
4. Write it back into knowledge What holds up becomes a messaging angle or a persona in the workspace, and therefore the basis for the next sequence, not just the next post.

Vorher verbunden sein muss: A connected LinkedIn profile

1. Import rather than source The list becomes rows in a table. Duplicates surface there instead of being contacted twice later.
2. Close the gaps Missing company data, roles and email addresses are filled in, through a waterfall across several providers, so one blank is not the end.
3. Verify the addresses Every email is checked before it is used. A derived address is a guess, and guesses ruin deliverability.
4. Dry run first, paid run second A trial on ten rows shows what comes out and what it costs. Only then does the whole list run, under a cap you set.
5. Prioritise instead of contacting everyone The enriched rows are scored against the ICP. What does not fit is not contacted, which saves budget and protects the domain.

Vorher verbunden sein muss: A list as CSV or export