Running LinkedIn and ChatGPT Ads on one target account list: a 30-day plan with budgets
A week-by-week plan for running LinkedIn ABM and ChatGPT Ads together on one target account list: how to split the budget, campaign structure, caps and exclusions, measurement by company and what to decide on day 30.
LinkedIn and ChatGPT Ads do different jobs on the same account list. LinkedIn puts your message in front of the buying committee at named companies, whether they're looking or not. ChatGPT Ads catch people from those companies, and others like them, when they ask a buying question. Run them together for 30 days with most of the budget on LinkedIn, measure both by company, and decide on day 30 which accounts and questions deserve more.
This is a practical plan for a mid-market B2B team with one target account list (TAL) of 150 to 300 accounts and a monthly media budget of roughly $3,000 to $6,000.
How the two channels fit together
| LinkedIn Ads | ChatGPT Ads | |
|---|---|---|
| Who you target | Named companies, job functions, seniority | Buyer questions (conversation context) |
| Uses your account list | Yes, directly | No, there's no company targeting |
| Reporting by company | Yes, approximate, 12 to 24 hours late | No, aggregated only |
| Best at | Repeated exposure to the buying committee | Being present at the moment of research |
| How you see companies | LinkedIn's company report | Company identification on your website |
The list is the same; the mechanism isn't. LinkedIn works on the list. ChatGPT Ads work on the questions your list asks. You join them back together on your website and in your CRM, by company.
The budget split
Start with roughly 75 to 80% on LinkedIn and 20 to 25% on ChatGPT Ads. LinkedIn carries the account coverage. ChatGPT Ads are a smaller, sharper test.
Two sanity checks before you commit numbers:
LinkedIn: does the budget cover the list?
Work out impressions per account. Published benchmarks range from a general LinkedIn CPM of about $34 to $55 in one agency guide (TripleDart) to a median single image CPM of about $59 in one 211-company dataset (ZenABM benchmarks, 2026). Your own account's CPM is what counts; using $60 to be conservative:
| Monthly LinkedIn budget | Impressions (at $60 CPM) | Per account per month (200 accounts) | Per account per day |
|---|---|---|---|
| $2,400 | 40,000 | 200 | about 7 |
| $3,600 | 60,000 | 300 | 10 |
| $4,800 | 80,000 | 400 | about 13 |
If the per-account number is below about 5 a day, the list is too long for the budget. Cut to tier 1 and 2 rather than spreading thin.
ChatGPT Ads: enough clicks to read
You need enough clicks per buyer-question cluster to see which companies they come from. OpenAI's help centre doesn't publish a recommended bid, so plan with a cost per click you'd accept and correct it after week 1. At an illustrative $4 a click, $800 a month buys about 200 clicks. Across three clusters, that's around 65 each: enough to see a pattern, not enough for statistics. Ads Manager also has a daily budget minimum per campaign (at the time of writing, $25 in the US and €15 in Europe), so check that your split clears it (OpenAI Help).
Example plan for a $4,000 month
| Line | Budget | Notes |
|---|---|---|
| LinkedIn: tier 1 (50 accounts) | $1,500 | Higher cap per account, 2 to 3 ads |
| LinkedIn: tier 2 (150 accounts) | $1,700 | Split into 2 campaigns of about 75 |
| ChatGPT Ads: 3 question clusters | $800 | CPC bidding, one landing page per cluster |
| Total | $4,000 |
Week 0: set up (before day 1)
The list
- Build or clean the TAL, tiered. See Target account list: how to build, tier and refresh it.
- Keep LinkedIn campaigns to about 100 companies each. Targeting by company page takes at most 100 companies per campaign, and LinkedIn's company reporting only returns the top 100 values per ad per day (LinkedIn Marketing API), so bigger campaigns hide part of the list. IntentBid splits a bigger list into up to 5 campaigns of 100 in one campaign group for you.
- Upload the list as a matched company list early. LinkedIn takes 24 to 48 hours to match it (LinkedIn Marketing API).
LinkedIn campaigns
- Objective: website visits for most ABM programs.
- Roles: the job functions of the buying committee, Director and above, plus Manager if evaluators sit there.
- Settings: Audience Network off, audience expansion off, unpaid, training and entry level excluded. See When the Audience Network and audience expansion waste ABM budget.
- Daily cap per account: 10 to 15 for tier 1, 5 to 8 for tier 2. See LinkedIn ABM frequency capping per account.
- Exclusions: customers, competitors, your own company, across every campaign.
- Theme in the name: "ABM | T1 | [Security]" makes every engaged account carry the theme as an intent tag.
ChatGPT Ads
- Three question clusters that match the themes of your LinkedIn campaigns. If LinkedIn runs a security message, one ChatGPT cluster should be security questions.
- One landing page per cluster, with UTMs per ad group.
- Know your markets. ChatGPT Ads run in the EEA and Switzerland, but there they're matched on the current conversation only, because personalised ads aren't initially available (OpenAI Help). See What ChatGPT Ads can't do for B2B.
Measurement
- Website script installed and checked, so visits from both channels are identified by company. See Install the website script.
- CRM connected, so deals come back for attribution. See Connect CRM deals for pipeline and revenue.
- A baseline: how many target accounts visited your site in the 30 days before launch.
Week 1: launch and check delivery
- Day 1 to 2: confirm ads are approved and spending on both platforms.
- Day 3: first LinkedIn company data arrives (12 to 24 hours late). Check that impressions are landing on target accounts and not concentrated in a few.
- Day 5 to 7: ChatGPT clusters. Any with no impressions? The questions are too narrow or too rare; replace them.
Don't change creative or bids in week 1 unless something is broken.
Week 2: read coverage and fix leaks
- Target accounts reached: aim for at least half of the list with impressions by day 14.
- Accounts at cap early every day: fine for tier 1. For tier 2, consider whether the budget is too high for the list.
- Job titles: any titles with real spend and no engagement? Exclude the obvious ones.
ChatGPT Ads
- Which clusters produce engaged visits (more than one page, or more than 15 seconds)?
- Which identified companies came from ChatGPT clicks? Any on your list?
Week 3: adjust creative and shift budget
- LinkedIn: pause the weakest ad in each campaign if it has enough impressions to judge (on Growth and above, IntentBid's bidding agent can flag or pause ads well below the campaign's median CTR). Add a new one in its place.
- ChatGPT Ads: move budget from the weakest cluster to the strongest, or rewrite the weak cluster's card.
- Build a retargeting audience of engaged accounts: those that clicked, engaged or visited. Run a second LinkedIn campaign for them with proof content (case study, comparison, pricing logic).
Week 4: measure by company and decide
Pull one table, by account:
| Account | LinkedIn impressions | LinkedIn engagements | ChatGPT Ads clicks | Website visits | High-intent pages | Stage | Deal |
|---|
Then answer five questions:
- Coverage. What share of the list was reached on LinkedIn? If under 60%, fix budget, list length or caps before scaling.
- Engagement. How many target accounts engaged on either channel? Compare with the baseline month.
- Overlap. How many target accounts showed up through ChatGPT Ads as well as LinkedIn? Those are often the most active.
- Discovery. Which non-list companies came through ChatGPT Ads and fit your ICP? Candidates for the next version of the list.
- Pipeline. Any new opportunities at accounts that engaged? Report them as influenced, not caused. See Account-level LinkedIn attribution without clicks.
What to decide on day 30
| Finding | Decision |
|---|---|
| LinkedIn reached the list, engagement concentrated in tier 1 | Shift budget to tier 1; refresh tier 2 creative |
| LinkedIn reached under half the list | Shorten the list or raise budget before anything else |
| One ChatGPT cluster brings ICP companies | Double that cluster; build a dedicated landing page |
| ChatGPT brings clicks but no identifiable ICP companies | Narrow the questions; check landing page engagement |
| Accounts engaged on both channels | Prioritise them for sales; check their stage |
The second month should be less even than the first. That's the point of the test: concentrate on the accounts and questions that responded.
Common mistakes
- Spreading LinkedIn too thin. 600 accounts on $2,000 a month buys about 55 impressions per account per month at a $60 CPM. That's not ABM, it's background noise.
- Judging ChatGPT Ads on CTR. The question is which companies clicked, not how many people.
- Different messages on each channel. If LinkedIn says "security" and ChatGPT says "price", you can't tell which theme worked.
- No CRM connection. Without deals coming back, the day-30 review stops at engagement.
FAQ
Can I use the same target account list in ChatGPT Ads?
Not as targeting. ChatGPT Ads don't support company lists. You use the list to choose the questions and to judge results: which identified companies on your site came from ChatGPT clicks, and whether they're on the list.
Is $4,000 a month enough?
For a list of about 200 accounts, yes, for a first month. For 500 accounts, either raise LinkedIn spend or start with the top 150 to 200.
Should LinkedIn and ChatGPT Ads go to the same landing page?
Use the same theme, different pages. LinkedIn traffic arrives cold; ChatGPT traffic arrives with a specific question. Each page should answer what that visitor just did.
When should we add more channels?
After the first 30 days show which accounts and themes respond. Adding channels before that makes the test harder to read.
Which plan fits this plan?
The example uses three LinkedIn campaigns at launch and a fourth for retargeting in week 3. Starter covers up to 3 LinkedIn ABM campaigns, so it fits if you skip the retargeting campaign or merge tier 2 into one. Growth has unlimited campaigns and the bidding agent. See pricing.