Strategic Planning
Open-Book Marketing: What Radically Transparent Performance Looks Like at Lmo7
Most agencies say they’re “data-driven”. Fewer are comfortable opening the books fully and showing every decision, every trade-off and every miss as well as every win. At Lmo7, radical transparency isn’t a slogan, it’s how we work.
10 December 2025
5 min read
If we want to be trusted with your Amazon, retail media and AI search strategy, you should be able to see exactly what we’re doing, what it costs, and what you’re getting back.
One truth, not three dashboards
The first step is building a shared “truth stack” one view of performance that everyone uses.
For a typical client, that means:
A core performance dashboard that ties spend, sales and profit together across Amazon and DTC.
An AI search visibility layer showing how often you appear in major LLMs for your priority journeys.
A simple experiment log so you can see what we changed and when.
We don’t hide behind proprietary metrics. If a number matters, you should be able to explain it to your CFO in one sentence.
Transparent decision-making
Transparency isn’t just about access to data. It’s about clarity on why we made certain calls.
Every major decision – restructuring campaigns, shifting budget, changing positioning – is documented with:
- The problem we were solving
- The options we considered
- The rationale for the route we chose
- The expected upside and the risk
You can drop into that at any time. New stakeholders can get up to speed without sitting through hours of meetings. Nothing lives only in our heads.
Sharing the “flat” results too
Not every test wins. Some ideas look good on paper and land with a thud in the real world. We show those too.
If a new creative angle doesn’t outperform the control, or a schema tweak doesn’t move your AI visibility, that goes in the log. We talk about what we learned and how it influences the next move.
Over time, this builds confidence that when something does work, it’s because we’ve genuinely found an edge – not because we’ve cherry-picked the one chart that looked good.
Incentives that line up with yours
Radically transparent performance only works if incentives are aligned.
We favour models that combine a clear base fee for the work with upside linked to the outcomes you care about: profitable revenue, category share, AI search visibility – not just media spend.
That way, you know we’re pushing for the same thing you are, and the dashboards aren’t just reporting on how effectively we’re burning your budget.
Why this matters in an AI world
As AI takes on more of the monitoring, optimisation and even creative work, trust becomes the main differentiator. You need to know:
What the models are doing on your behalf
How decisions are being made
How quickly we’ll tell you when something changes
Open-book marketing is our answer to that. You get full visibility of the system – humans, agents, data, decisions – so you can stay in control of your brand while still moving at the speed AI makes possible.
That’s what radically transparent performance looks like at Lmo7.
One truth, not three dashboards
The first step is building a shared “truth stack” one view of performance that everyone uses.
For a typical client, that means:
A core performance dashboard that ties spend, sales and profit together across Amazon and DTC.
An AI search visibility layer showing how often you appear in major LLMs for your priority journeys.
A simple experiment log so you can see what we changed and when.
We don’t hide behind proprietary metrics. If a number matters, you should be able to explain it to your CFO in one sentence.
Transparent decision-making
Transparency isn’t just about access to data. It’s about clarity on why we made certain calls.
Every major decision – restructuring campaigns, shifting budget, changing positioning – is documented with:
- The problem we were solving
- The options we considered
- The rationale for the route we chose
- The expected upside and the risk
You can drop into that at any time. New stakeholders can get up to speed without sitting through hours of meetings. Nothing lives only in our heads.
Sharing the “flat” results too
Not every test wins. Some ideas look good on paper and land with a thud in the real world. We show those too.
If a new creative angle doesn’t outperform the control, or a schema tweak doesn’t move your AI visibility, that goes in the log. We talk about what we learned and how it influences the next move.
Over time, this builds confidence that when something does work, it’s because we’ve genuinely found an edge – not because we’ve cherry-picked the one chart that looked good.
Incentives that line up with yours
Radically transparent performance only works if incentives are aligned.
We favour models that combine a clear base fee for the work with upside linked to the outcomes you care about: profitable revenue, category share, AI search visibility – not just media spend.
That way, you know we’re pushing for the same thing you are, and the dashboards aren’t just reporting on how effectively we’re burning your budget.
Why this matters in an AI world
As AI takes on more of the monitoring, optimisation and even creative work, trust becomes the main differentiator. You need to know:
What the models are doing on your behalf
How decisions are being made
How quickly we’ll tell you when something changes
Open-book marketing is our answer to that. You get full visibility of the system – humans, agents, data, decisions – so you can stay in control of your brand while still moving at the speed AI makes possible.
That’s what radically transparent performance looks like at Lmo7.