Media optimization means shifting spend from saturated channels to underfunded ones until a target is reachable. This matters because spreadsheets using last-click ROAS ignore diminishing returns, so teams miss forecasts they thought they’d hit. Without a live optimization view, marketers can’t test scenarios like a locked channel before proposing a finance plan. This video walks through a dashboard raising a target from $35 million to $36 million with less spend.
Why Media Optimization Requires a Live View, Not a Static Spreadsheet
Media optimization requires a live view, not a static spreadsheet, because a spreadsheet built on last-click ROAS can’t account for diminishing returns, which is exactly the gap that causes teams to miss their revenue forecasts. In this video, John Wallace, CEO of LiftLab, opens with the questions CFOs ask marketing teams on repeat: can we hit a specific revenue number, can we get more efficient with the budget we already have, and if we gave you another $100,000, where would it go and what would it return? The common approach, pulling last-click ROAS out of Google Analytics or Adobe and running it through spreadsheet formulas, fails on two fronts: last-click overstates the bottom of the funnel, and converting a ROAS number straight into revenue ignores diminishing returns entirely.
Wallace then walks through the alternative live, using a fully onboarded media plan on LiftLab‘s ROI dashboard. He sets a revenue target for the fiscal month of May, moving from a roughly $35 million reference period to a $36 million target, and lets the optimization run. The system reaches the new target with less total ad spend by pulling budget out of saturated channels and adding it to channels still leaving money on the table, including one bottom-of-funnel prospecting channel that gets a 48% spend increase. He then reruns the same target as a constrained scenario, holding one channel’s budget flat to reflect a real operational limit, and shows the plan still hits $36 million by adjusting elsewhere. From there he demonstrates optimizing the same historical budget for profit instead of revenue, and finally layers in an additional $100,000 to show how much incremental growth that money can responsibly buy.
In this video, you’ll learn:
Why last-click ROAS is an unreliable metric for forecasting
How to set and achieve specific revenue targets using media optimization
The process of identifying and reallocating spend from saturated channels
How to define and maximize marketing’s contribution to profit
Strategies for evaluating the efficiency of net new budget investments
TIME STAMPFull Video Transcript: The Media Optimization Dashboard Demo Walkthrough
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John Wallace walks through a live media optimization demo, from setting a revenue target to running finance-ready budget scenarios.
[0:00 – 1:33] Common CFO Questions and Traditional Marketing Flaws
Some of the most common questions a CFO might ask the marketing team are: hey, how can we hit a specific revenue target, and they want to know, really, translating that, if you double click on it, can paid media get us there? Another version of that question comes: can we get more efficient with the marketing budget that we already have? Can we get more growth out of that same budget? And then yet another variation of this that comes is, if I give you another net new $100,000 of budget, A: where would you spend it, and B: how much more revenue would it generate? These are questions that marketers have faced day in and day out, and how do they approach these questions today? I can tell you that the most common approach that I’ve seen is to pull last-click ROAS performance data out of Google Analytics or Adobe and then work a set of formulas in a spreadsheet, and this has two major flaws to the approach.
One, we all know that last-click ROAS is biased; it’s going to overstate the bottom of funnel. But taking a ROAS number and trying to turn that into revenue ignores the diminishing return aspect that we know is present in all paid media. So if that’s the calculation teams are doing, it makes them less likely to hit their revenue forecasts. They might be able to spend the budget appropriately, but they may or may not have the echo, or the corresponding revenue, from that, and now you’re sitting in a meeting trying to explain why did we miss the forecast. We realized that there had to be a better way. We collaborated with some really smart marketers to make a more reliable way. So let’s go look at where this lives inside of LiftLab.
[1:33 – 1:57] Introducing the LiftLab ROI Dashboard
The better way inside of LiftLab starts here. We’re looking at the ROI dashboard, and what’s on the screen is an entire media plan that’s already been onboarded. So this would be the capabilities that a live, fully deployed LiftLab customer would have access to, and the questions that we just got from the CFO, we’re going to go turn our attention to the forecasting capability.
[1:57 – 4:00] Setting Revenue Targets and Optimization
Inside of forecasting, we’re going to do a new analysis, and let’s do the first one, that first question from the CFO, which would be setting a target revenue, and we could do that for just the next week or we could go ahead and do this for a whole month in the future. So we’ll do this for the fiscal month of May, and here’s our capability to optimize for growth. So it could be, in the reference data from the media plan, that we had about a $35 million period, but let’s say in May we actually want to do $36 million.
So that’s the request from the CFO, and we’ve got a whole media plan here, so that’s available to us. Let’s go ahead and see what the default or first answer that LiftLab comes back with. Here’s our optimization period, here’s all the channels that we’re optimizing, there were some promos that are taking place in May that need to be taken into account, that is going to affect our conversion, and it’s done the work for us.
Let’s go ahead and look at the total revenue: with all of our channels, yeah, we went from just under $35 million to roughly $36 million. We put in 36, and that’s not, you’re not seeing things, we have programmed our algorithm to give a little bit of wiggle room around the target so that it solves rapidly. So that’s, for all intents and purposes, our $36 million, and we have done that with slightly less ad spend. So let’s go see how and why. It’s the same principle that’s always taking place in optimization; we’re going to identify the channels that are saturated and remove spend from them, and go reward the channels where we’re leaving money on the table and add spend. So here’s a channel in bottom of funnel prospecting where we moved from 419 to 622, that’s a 48% increase, and here’s how much more revenue that’s driving and what our new incremental return on that spend is going to be. If we go look at the total, we’ve got the $36 million that we targeted, and this should be a sufficient answer for your CFO. Here is our new revised media plan that will get us to $36 million.
[4:01 – 4:50] Scenario Planning with Channel Constraints
Now you may have, just as a scenario here, you may have one of your channel managers say, “I’m not able to cut the spend that quickly in May.” So let’s go run a scenario where, let’s say it’s the affiliate channel: instead of moving that up and down, we’re going to just keep it at a constant spend. We’re going to keep the $270,000, and we’re able to go ahead and work around that channel across the rest of the media plan and see if we can still attain the $36 million that was our target. And now we’re looking at an answer; we can see the ROAS for this, and our affiliate channel now doesn’t have any change in spend, and fortunately, with the other channels still able to grow and shrink depending on their performance, we can still hit the $36 million target.
[4:50 – 6:00] Profit Maximization Strategies
Now one of those other questions that came along, one that marketers get often, is what could you do with the same budget, could you get this budget to be more efficient? So let’s call that a profit maximization, and I want to define profit here. When we say the word profit, it is formally defined, the finance term for it is marketing’s contribution to profit, and so that would be your revenue times your profit margin, minus your marketing expenses.
Let’s go ahead and do that for the same time period, we’ll do it for fiscal May, and here we’re going to change it over to optimize for profit, and it might be that we have a constraint on the budget. Now I’d like to run these sequentially. Let’s go ahead and run this with a historical budget, and what we’ll do is we’ll look at this answer. So this isolates, with the same budget, how could I reallocate my spend and get more profit? So we’ll look at that result. So yeah, we’ve moved the profit from 1.7, or just under 1.8 million, to almost $2 million, and it’s the same principle: it is taking away from channels that are saturated and moving it into channels where we’re leaving money on the table.
[6:01 – 7:24] Evaluating Additional Budget and Conclusion
Now one common question that gets added on top would be, what if I had more budget? So let’s go run that scenario. We see a new scenario, let’s do the $100,000 extra, and so now the question is: can we spend that efficiently? Is there a place to take, given all the funding and all the saturation that we’ve already found, is there a place to spend that $100,000 effectively? And we’ve got an answer.
What’s happened here is we’re going to get roughly the same profit, the 1.9, we had 1.99 before, but we did get some net new budget. Now we’re up to another couple hundred thousand in growth. So here we have still maximized for profit, we’ve been able to spend the $100,000 fairly efficiently, we’re not getting a net increase in profit from the $100,000, but we are seeing some net increase in growth. So this is a situation where you are now completely equipped, completely enabled to have an adult conversation with finance about where you would spend the $100,000, and in addition to that, that it will have an increase on topline and no negative impact on profit. I would like to see you enabled for a future forecasting meeting and a future dialogue with your CFO with an equal amount of information.
Key Lessons: Optimizing Media Spend to Hit Revenue and Profit Targets
Flawed methodology: The most common approach is to pull last-click ROAS performance data out of Google Analytics or Adobe and then work a set of formulas in a spreadsheet.
Biased metrics: Last-click ROAS is biased; it overstates the bottom of the funnel.
Diminishing returns: Taking a ROAS number and trying to turn that into revenue ignores the diminishing return effect present in all paid media.
Strategic optimization: The process identifies channels that are saturated, removes spend from them, and rewards the channels where money is being left on the table.
Informed dialogue: With this evidence in hand, marketers are fully equipped for an informed, data-backed conversation with finance.





