
AI Campaign Analysis for LinkedIn Ads
Analyses campaign results across channels and recommends budget shifts, connected natively to LinkedIn Ads so it reads campaigns, creatives and analytics.
A channel-by-channel campaign plan with budget split and timeline, built from your goal and your calendar.
Planning a campaign across several channels usually means a spreadsheet, a few guesses and a long meeting. This build takes your goal, budget and calendar and returns a written plan: which channels to use, how to split the money, and when each piece goes live. It draws on what has worked for you before, and nothing commits spend until your team approves it.

AI Campaign Planning takes a campaign goal and budget and returns a channel plan, timeline and budget split across the destinations you use, drawing on your past performance data and the calendar dates you set. Your team approves each plan before any money is committed.
Campaigns rarely fail on creative alone. More often the money went to the wrong channel, or the timing slipped, because the plan was rushed or rebuilt from scratch under pressure. A consistent planning process means every campaign starts with a clear goal, a reasoned budget split and a timeline your stakeholders can sign off. Your team spends its time on the decisions, not on formatting spreadsheets. The scope is fixed in writing before you order, so you know which data it reads, which formats it produces and how approval works.
Give it a goal and budget, and it returns a channel plan, timeline and budget split. Your team reviews and adjusts a structured draft instead of building one from nothing.
Plans draw on the past performance data you provide. Recommendations are grounded in what has actually worked for your business, not last year's split repeated.
The calendar dates you set are built into every timeline. Seasonal peaks and launches are planned ahead rather than squeezed in at the last minute.
Your team approves each plan before any money is committed. Plans arrive at one agreed destination, such as a shared drive, so everyone knows where to find them and who signs off.
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $2,500 |
| Express | 15–25 working days | $2,950 |
| Rush | 10–20 working days | $3,400 |
Before you start: Gather the last few campaign plans with their budgets, goals and results, and note how long each took to plan.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
The build price is one-time. Running the planner costs roughly $20 to $150 a month in AI model usage, billed directly in your own accounts, and the figure tracks how many plans you generate and how much historical data each one pulls from. A team planning a handful of campaigns a quarter sits at the low end; a team planning weekly launches sits higher.
AI usage during the build and testing is also billed to your accounts, so every provider relationship stays yours. Nothing runs through us.
Ask about running costsAdd a note at checkout if you need something specific. If it fits within the Scope Card it is simply included. If it goes beyond it, you get a written Change Quote within two working days, and that work starts only once you accept it, with its time added to your delivery date.
Request a custom versionAfter launch, monthly maintenance keeps the build current as your business changes: monitoring, fixes, model and platform updates, a monthly health report and monthly hours for changes such as re-weighting channels, adding a new campaign type or updating the reference set. It starts after the post-launch support period, bills monthly and can be cancelled any month.
$249/mo (the minimum fee, includes 2 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance works| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | A SaaS planning tool charges a monthly seat fee regardless of how many plans you build | A custom agency quotes planning as part of a larger retainer | Ours is one fixed price, shown on this page before you buy |
| Data grounding | A SaaS tool plans from templates, not your actual past results | An agency plans from experience across its other accounts, not always yours | Ours is weighted using your own connected performance data |
| Output | A SaaS tool gives you a blank canvas to fill in yourself | An agency delivers a plan after a scoping process | Ours delivers a drafted channel-by-channel plan ready for your review |
| Review control | A SaaS tool has no built-in approval step | An agency circulates plans for sign-off by email | Ours queues every plan for your named approver before delivery |
| Delivery | A SaaS tool is available immediately but needs setup and data connection | An agency typically takes several weeks, set per project | Ours has a fixed delivery time shown before you buy, with faster options |
A channel-by-channel breakdown with budget share, a timeline of milestones and dependencies, and the outcome each channel is expected to drive, such as leads or sign-ups. It is a plan a stakeholder can approve, not raw data or a spreadsheet template to fill in yourself.
Roughly $20 to $150 in AI model usage, paid directly in your own account rather than billed through us. The figure depends on how many plans you generate and how much historical data each pull touches; infrequent planning sits near the bottom of that range.
No. It produces the plan; a person on your team, or your media buyer, executes it inside the ad platforms and places the spend. If you also want the ad copy written from the approved plan, pair it with AI Ad Copy Generator.
Yes, where you connect a read-only source such as Google Analytics 4 or an ad platform account during intake. The plan then weights channel budget toward what has actually performed for you before, rather than working from a generic industry split.
Delivery follows the fixed timeline shown in the delivery panel, counted from a verified intake. Express and rush options are available for a fee if a launch date is close. Sending your past campaign results and calendar dates early helps the most, because the planner is shaped around them from the first day of the build.
The generation pipeline covers up to three output formats per plan; you can map that directly to your three priority channels for the campaign. A wider multi-channel plan is available as a Change Quote, priced and agreed before that extra work starts.
Yes, through monthly maintenance. Re-weighting channels, adding a new campaign type, or updating the reference plans the generator learns from all fit inside the monthly change hours, without needing a fresh build from scratch each time. Maintenance also includes monitoring, fixes, model and platform updates and a monthly health report, and you can cancel any month.
The person you name at intake as your approver. Every generated plan sits in a review queue until that person adjusts channel weighting, budget or dates and formally approves it, so nothing reaches your team or your media buyer unchecked or unreviewed.
Order AI Campaign Planning and start your next campaign from a reasoned plan instead of a blank page. The scope and your delivery date are confirmed in writing before you pay.

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