What the category actually contains
Search for Twitter marketing services and you get four different businesses wearing one label. They are priced differently, they are bought by different people, and the reason most engagements disappoint is that the buyer wanted one and signed for another.
| What it is | What you are buying | Who it suits |
|---|---|---|
| Account management | Someone to run the company account: posting schedule, replies, community management | Companies with an audience already, who need consistency |
| Paid media | Ad buying and creative inside the X ads platform, billed on spend | Products with a broad audience and a working funnel |
| Ghostwriting | Drafts in a founder's voice, posted from the founder's own account | Founders with a view and no time to write it |
| Creator distribution | Coverage from accounts your buyer already follows, for a launch or on a retainer | Companies with news, and a small audience relative to it |
We do the fourth, plus the third alongside it. The first two are real work and other people do them well. Naming the difference upfront saves everybody a call.
Why paid and organic are not substitutes here
The instinct is that ads are the reliable version and organic is the lottery, so a budget should start with ads. For a technical audience that reasoning breaks in a specific place.
The people who buy developer tools and enterprise AI are the population most likely to be running a blocker, and an ad unit from a company account is discounted before it is read. The accounts they do read are the ones they chose to follow.
That is the inventory ads cannot buy, and it is where the buying conversation about your category is already happening. The longer version of that argument is here.
Which is why the two sit in different places rather than competing for one line. Ads are good at repetition against a known audience. Distribution through accounts people follow is good at the first time somebody hears your name, which is the part a launch is for.
What good looks like, measurably
Most proposals in this category are priced against activity: posts per month, accounts managed, hours. Activity is easy to deliver and tells you nothing, so ask for the outcome numbers instead.
We publish ours. Every AI launch on X we can find is measured and listed, which gives a median to read any single result against rather than an adjective.
| Views on the launch post | Share that get there |
|---|---|
| 100K | 80% |
| 250K | 69% |
| 500K | 59% |
| 1M | 40% |
| 2M | 23% |
| 5M | 10% |
| 10M | 5% |
Read your own proposal against that. A million views on a launch post is a top-quarter result across everything measured. Anyone quoting you a campaign total with an M after it, without saying what the median is, is counting on you not having the comparison.
Four questions worth asking any provider
- What is our baseline? Demand in the fourteen days before, so the fourteen days after mean something. A provider who does not ask for this beforehand cannot report on it afterwards.
- Which accounts carried it, and what did each produce? Post-level numbers rather than a campaign total. A total hides one account doing the work while six were decoration.
- What is the median in our category? Funding announcements behave differently from product launches. A result is good or bad only against the right comparison.
- What did buyers say when you asked them? The free-text answers to how they heard about you, unparsed. Without that the report is the first half of a sentence.
What the answers look like when they exist
Codos launched the first virtual Chief AI Officer from co-founder Dima Khanarin's account with about 1,800 followers. The post stands at 1.6M views.
Underneath it, 2,031 bookmarks, the enterprise buyer's way of saving a vendor, and two weeks later the founder's account of the inbound was many VCs and many, many customers. We are overwhelmed. The case study has the detail.
The enterprise version of the trade looks different. A launch that reaches fewer people, far more of whom are willing to vouch for it in public, produces more pipeline than a consumer drop with several times the views.
Codos is the worked example: 1.6M views from a founder account, and an inbox of VCs and customers.
Higgsfield is the retainer version. Six releases between March and June 2026 produced 40M views and 1.8M engagements, with a floor of 1.3M on the quietest of them. Drop by drop, here.
What this costs, roughly
Pricing in this category is opaque enough that founders assume they are being quoted badly, and often they are right. The honest shape of it: account management and ghostwriting are monthly retainers scaled to output.
Creator distribution is priced per launch or per month depending on whether you are buying a moment or a cadence, and the cost is driven by who is on the roster rather than by how many posts go out.
Your rate is what you get. Creators are paid what the roster costs, and the numbers on every launch are reported at post level so you can see which accounts earned it. We wrote out the full cost breakdown separately.
Questions we get asked
What do Twitter marketing services include?
Four distinct things sold under one name: running the company account, buying ads inside the X platform, ghostwriting for a founder's own account, and distribution through creators your buyer already follows. They have different prices and different buyers, so the first question to any provider is which of the four they actually do.
Are Twitter marketing services worth it for a B2B company?
For companies with news to announce, yes, and the reason is who reads X. Technical and enterprise buyers still read professionally there and mostly block ads, which leaves the accounts they follow as the route to them. For a company with nothing to say this quarter, a retainer will produce activity rather than outcomes.
How much do Twitter marketing services cost?
Account management and ghostwriting are monthly retainers scaled to output. Creator distribution is priced per launch or per month, driven by who is on the roster rather than the number of posts. Ask any provider for post-level reporting rather than a campaign total, and for the median in your category so the result has a comparison.
Is organic distribution better than X ads?
They do different jobs. Ads repeat a message to an audience you have already defined.
Distribution through accounts people chose to follow is what works the first time somebody hears your name, and it reaches the technical buyers who run blockers. Most launches want the second and most retention programmes want the first.
How do you measure a Twitter marketing engagement?
Against a pre-launch baseline and a published median, at post level. We measure every AI launch on X we can find, so any single result can be read against the distribution rather than against an adjective. A million views on a launch post is a top-quarter outcome across everything we hold.