Table of Contents
Media buying does not break because the math is hard. The work breaks because the math lives in seven places. The plan sits in a spreadsheet, IOs live in email, ad-server numbers sit in a vendor login, finance pulls invoices from a separate system, and the planner reconciles all of it before Thursday’s client review. Most teams accept this as the job. A smaller number have put monday.com underneath the workflow as the single board where spend, pacing, and vendor deliverables live together.
What media buying teams are actually trying to track
Three things, simultaneously, every day a campaign is in flight: where the money is going, whether it is going at the right speed, and whether vendors are doing what they were paid to do. None of these is exotic. The trouble is that no platform was built to hold all three, because campaign-management, ad-serving, and project-management each evolved separately. A buying team that wants visibility ends up stitching them together by hand.
Spend
Committed dollars by channel, partner, IO, and line item. Approved budgets versus signed IOs versus invoices received. The same campaign code appears in different formats across systems, and reconciling them eats up analyst time.
Pacing
Planned daily delivery versus actual daily delivery, expressed as a percentage. A campaign 12 days into a 30-day flight should have spent roughly 40% of the budget. When it has spent 28% or 58%, somebody needs to know before the client does.
Vendor deliverables
Signed IOs, creative specs, third-party tracking pixels, brand safety reports, end-of-campaign performance summaries, and makegoods when a partner under-delivers. Every flight produces a documentation trail somebody is supposed to keep.
Why most media buying ops break in spreadsheets and email
A brand running paid social, search, programmatic display, and a few direct publisher buys typically has 40 to 120 active line items at any one time. The U.S. digital advertising market reached $294.6 billion in 2025, according to the IAB and PwC Internet Advertising Revenue Report, and the operational complexity has grown with the dollars. Excel is fine for one quarter, less fine when three planners, two analysts, a director, and an account lead edit the same file. Email handles one approval well, less so when an IO needs initials from two parties, a creative spec attached, and resurfacing at the end of the campaign for the makegood.
The friction is not the work. The friction is the handoffs.
How monday.com gets set up for media buying workflows
The platform itself is generic. What makes it useful for media buying is the deliberate way the boards get structured. What follows is the configuration teams converge on after a few rebuilds.
The spend tracker board
One row per line item, with columns for client, campaign code, channel, vendor, flight start, flight end, committed budget, IO status, invoice received, and variance to plan. Status columns drive everything else. When an IO moves from draft to signed, a formula column unlocks the budget for pacing. When an invoice arrives, the variance column auto-calculates against the committed amount. The board doubles as the source of truth for finance reviews, which is what wins finance over.
The pacing dashboard
A dashboard view layered on top of the spend board, pulling daily actuals through monday.com integrations with Google Ads, Meta, the DSP, and (for direct buys) manual entries from the planner. Three columns matter: planned delivery, actual to date, and pacing percentage. Anything outside plus-or-minus 10% of the plan triggers an automation that notifies the planner and the assigned buyer. The rest is signal, not noise. Teams that want more detail on automation logic should review automating approvals in monday.com before going live.
The vendor and deliverables board
One row per vendor, with sub-items for each deliverable tied to a flight: signed IO, creative specs, tracking confirmation, mid-flight performance check, end-of-campaign report, and makegood. Files are attached to the row. The board functions as the audit trail, finance, and legal ask for when a client questions a charge or a partner disputes a makegood. For agencies running this across many client accounts, the broader pattern is laid out in our piece on agency-side coordination challenges.
Automations that pay for themselves
The configurations that earn back implementation effort within a quarter are not the impressive ones. Those are the boring ones. Notify the planner when pacing variance crosses 10%. Move a line item to review status when the flight end date is seven days out. Auto-attach the IO when a vendor uploads through a form. Trigger a finance ticket when an invoice arrives that does not match the committed amount. None of these replaces human judgment. All of them remove the manual work that used to fill the buyer’s mornings.
Executive insight: where teams get this wrong
The mistake worth naming is not technical. Most teams adopting monday.com start by trying to replicate their spreadsheet inside the new tool. The board ends up with 47 columns, three color-coded for reasons nobody remembers, and the platform becomes the spreadsheet plus overhead.
The teams that get value out of it do the opposite. Those teams take the work that lived in five tools and ask which two views the buyer, planner, and analyst each need every morning. Everything else is buried, automated, or reported on a cadence. Less configuration, not more, is what separates a working media buying board from a graveyard one. Useful reading here includes our notes on project efficiency features and the rhythm of task and project management workflows inside the platform.
The second mistake is treating the rollout as IT’s project. Media buying ops belong to the team that does media buying. The right implementation partner translates that workflow into a configured board rather than imposing a generic template. Choosing the right tier for the team’s automation and integration needs is where many rollouts stumble; trade-offs are covered in our breakdown of implementation cost and tier choice.
Where this starts paying off
The first month after a media buying team moves from spreadsheets to a properly configured monday.com setup is usually quiet. The second month is when people stop opening Excel by reflex. In month three, Thursday reviews start running without the Wednesday scramble, and finance stops asking the same three questions about variance. None of that shows up in a pitch deck. All of it shows up in the next renewal conversation. If the workflows above resemble what your team is patching together, the next step is a conversation about monday.com implementation guidance shaped around how the team works.
Frequently asked questions
No, and it should not try to. Dedicated media planning platforms handle line-item flowcharts, programmatic integrations, and finance workflows that monday.com is not built for. The right pattern is to run monday.com as the operational layer that sits on top of those tools, holding the work, approvals, deliverables, and cross-team visibility planning platforms that do not provide.
Client, campaign code, channel, vendor, flight start, flight end, committed budget, IO status, invoice status, and pacing percentage. Anything beyond that should earn its place by being something the buyer or analyst looks at every week.
Through API integrations with Google Ads, Meta Ads, and DSPs that feed daily spend and delivery data into the board. For direct buys without API access, planners enter actuals manually on a daily or weekly cadence. The pacing percentage is a calculated column comparing actual spend against the prorated plan to date.
Yes, through guest access and shared boards. That is how some teams give publishers visibility into the deliverables they owe without exposing internal financials. Most teams instead use forms for vendor uploads, which keeps the internal board clean while still capturing the data.
Standard at minimum, Pro for any team running more than 250 monthly automation actions or needing time-tracking and dependency columns. Enterprise becomes relevant when integrations, audit logs, and advanced permissions are required, common for in-house teams at regulated brands or agencies handling sensitive client data.
A focused implementation for a 10 to 20-person team typically runs four to eight weeks, including discovery, board configuration, integrations, training, and a parallel run alongside legacy spreadsheets. Teams that compress this into two weeks usually rebuild within six months.
