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Affiliate program Partner kit

Useful first. Specific always.

Facts, starters, and posts to explain Embers accurately. Adapt them to your own experience, add a clear disclosure, and share the personal link from your Affonso dashboard.

Positioning

What Embers is for.

In one sentence
Embers turns supported public LinkedIn buyer signals into a prioritized queue for thoughtful manual follow-up.
Best fit
Founder-led B2B SaaS and small sales or growth teams
Starting pain
Too much activity, too little clarity on who deserves attention now
Core job
Qualify a signal, preserve the evidence, and choose the next action
Control
The user reviews and sends every LinkedIn action manually

Product facts

Claims you can support.

Every post template below rests on one of these five. Anything past them is your own documented result, or it stays out.

  • Signal monitoring

    Tracks supported public activity across your posts and comments, any public profile you watch, and keyword mentions.

  • Qualification

    Uses ICP fit, signal context, enrichment, and scoring to help prioritize people for review.

  • Action workflow

    Keeps evidence, suggested drafts, notes, follow-ups, and recorded outcomes together.

  • Account safety

    Does not require a LinkedIn password, LinkedIn cookies, or a browser extension.

  • Human control

    Does not send connection requests, likes, comments, or direct messages on the user's behalf.

  • Do not promise outcomes

    No guaranteed leads, reply rates, revenue, account safety, or time savings unless you can document your own result and the conditions behind it.

Message starters

Starters for email and X.

Short enough to rewrite in your own voice. Replace the brackets before sending.

Email

Operator recommendation

Subject: A cleaner way to review LinkedIn signals

I have been looking at a simple problem: public engagement creates useful buyer context, but most teams do not have a consistent way to qualify it.

Embers keeps the signal, ICP fit, and next action in one review queue. It does not send LinkedIn actions for you.

If that workflow fits your team, here is my affiliate link: [link]

Disclosure: I may earn a commission if you purchase through this link.

X

Short observation

A warm signal is not a lead yet.

Check fit. Keep the evidence. Choose a relevant next step.

Embers makes that manual review repeatable without sending LinkedIn actions for you.

[Affiliate disclosure] [link]

LinkedIn posts

Post as yourself, not as Embers.

Seven first-person posts, each built on one product fact. Replace every bracket with your own context before you publish: a template posted unchanged reads like a template.

Download all posts

The 87 reactions post

Rests on: One ranked queue, ordered by ICP fit, signal, and recency

87 reactions on a post is not 87 leads.

Last time I checked mine, six people actually matched who I sell to. The rest were peers, job seekers, and people being polite.

The problem was never reach. It was the sorting.

I used to open the reactions list and scroll until I got bored. Now I work a ranked list instead: role and company fit first, then what they engaged with, then whether there is a reason to say something this week.

[Your own numbers here. Reactions on your last decent post, and how many were actually buyers.]

Embers is what I use for the sorting step. It does not log in as me and it does not message anyone for me, which is the only reason I was willing to try it.

I am an Embers affiliate and may receive a commission from qualifying purchases.
[Your referral link]

Swap before posting: Your reaction count, and how many of those people were actually buyers.

The warm signal vs cold list post

Rests on: Tracks supported public activity across your posts, watched profiles, and keyword mentions

A cold list is a list of people who have never heard of you.

A warm signal is a person who did something in public this week: commented on a post in your space, reacted to a competitor, used the phrase you sell against.

Same effort to message. Completely different odds.

[Swap in your own version. The list you bought, how many contacts, how many replies.]

I stopped buying lists. Now I start from people who already showed up somewhere relevant, and I work down by fit instead of down a CSV.

Embers is what I use to watch that public activity and rank who is worth a reply. It does not send anything for me, which is the point.

I am an Embers affiliate and may receive a commission from qualifying purchases.
[Your referral link]

Swap before posting: The cold-list number you actually paid for, and what it returned.

The account safety post

Rests on: No LinkedIn password, no session cookies, no browser extension

I have turned down every LinkedIn tool that asked for my password.

Not out of paranoia. Because the account is the asset, and I have seen what happens to people who hand it over.

[Swap in what you saw: a peer restricted, a client locked out, a tool that went dark overnight.]

So the rule is simple now. If it wants my login, a session cookie, or a browser extension on my profile, it is out. That removes most of the category.

Embers is the one I landed on. It reads public activity, ranks who is worth a reply, and leaves the sending to me. Slower than automation. Still my account.

I am an Embers affiliate and may receive a commission from qualifying purchases.
[Your referral link]

Swap before posting: The account story you actually witnessed. Do not invent one.

The four signals post

Rests on: Post engagement, comment engagement, keyword mentions, watched-profile activity

Most people watch one LinkedIn signal: who liked their last post.

There are at least four worth watching.

1. Reactions on your own posts
2. Comments, including on posts that are not yours
3. Mentions of the words your buyers actually use
4. Who engages with your competitors

[Which of these has produced the most for you? Say so here.]

I checked maybe two of them, and only when I remembered. Embers collects all four into one list I review in the morning, which is the only reason I do it consistently.

I am an Embers affiliate and may receive a commission from qualifying purchases.
[Your referral link]

Swap before posting: The signal that has actually worked for you.

The bad DM post

Rests on: Evidence stays attached to the person, and you send every message yourself

The worst DM I ever sent opened with "saw you liked my post."

I had nothing else. Not which post. Not why it landed. Not one reason for the message to exist.

Four questions I answer now before writing anything:

- What exactly did they engage with
- Does the role and the company actually fit
- What changed for them recently
- What is the one useful thing I can say about it

[Your version of this checklist. Cut mine, keep yours.]

That is the difference between a message that reads as relevant and one that reads as a template. Embers keeps those answers sitting next to the person, so I am not rebuilding the context every time.

I still write and send every message myself.

I am an Embers affiliate and may receive a commission from qualifying purchases.
[Your referral link]

Swap before posting: Your own pre-DM checklist, and a real bad message if you have one.

The one-week experiment post

Rests on: First 2,000 engagers free, no card to start, read-only and manual by design

If you post on LinkedIn every week and still cannot name your five best prospects from it, try this for one week.

Do not add reach. Change the order you review people in. Start with fit, not with recency.

[What happened when you tried it. Be specific and do not round up.]

I run that order inside Embers. Your first 2,000 engagers are free, and it does take a payment method up front, so set yourself a reminder if you are only testing.

Two honest limits: it does not send anything for you, and it only reads public activity. If you want automation, this is the wrong tool.

I am an Embers affiliate and may receive a commission from qualifying purchases.
[Your referral link]

Swap before posting: Your actual result from the week. Leave the bracket empty rather than making one up.

The reach collapse post

Rests on: Post engagement, comment engagement, keyword mentions, watched-profile activity

My organic reach on LinkedIn has fallen off a cliff.

[Your own numbers here. Open your LinkedIn analytics and take the real figure: impressions per post now against a year ago, or the percentage of your followers a typical post reaches. Use your own data, not a number you read somewhere.]

Here is the part I had wrong. I kept treating reach as the metric. Reach is the top of the funnel and it is shrinking for everyone.

The thing that did not shrink is the signal underneath it. The people who do comment, who do react to a competitor, who do use the phrase I sell against, are still there and still public. There are fewer of them, and each one is worth more.

So I stopped optimising for how many people see the post, and started paying attention to which specific people engaged with it.

Embers is what I use for that second part. It reads public engagement, ranks people by fit, and leaves the follow-up to me.

I am an Embers affiliate and may receive a commission from qualifying purchases.
[Your referral link]

Swap before posting: Your own reach numbers. Pull them from your LinkedIn analytics before you post this. Do not use anyone else's figure.

  • Replace every bracket with something that actually happened to you.
  • Keep the disclosure line next to your link, not in your profile.
  • Do not post two of these in the same week.

Disclosure

Make the relationship obvious.

Place it next to the link or the recommendation. Never only in a profile, a footer, or a collapsed section.

Compact
Affiliate link: I may earn a commission if you purchase through this link.
Partnership
I am an Embers affiliate and may receive a commission from qualifying purchases.

Social graphics

Two graphics, ready to post.

Logos, the app icon, and product visuals are on the program page. Everything, these two included, is in one zip.

  • Use the logo as supplied, without recoloring or redrawing it.
  • No invented product screens, customer quotes, names, or outcomes.
  • Signal review framework

    LinkedIn post, 1200 x 1500

  • Manual follow-up checklist

    Square post, 1200 x 1200

Before you publish

Share your personal link,
not the homepage URL.

Your Affonso dashboard creates the link that ties the visit, the signup, and the eligible payment to you.

20% recurring · 30-day referral window · Monthly PayPal payouts from 50 USD