By: Johannes Fiegenbaum on 9/19/25, 7:14 PM · Last updated September 21, 2026
An ESG strategy is built in five steps, and each one produces something you can put on a table: a data baseline, a materiality matrix, targets with baseline years, a funded sequence of measures, and an annual review record.
Most guides stop after step three. The harder question is which measure gets the money first, and that is where a strategy either becomes a plan or stays a slide deck.
The baseline answers three questions: what data already exists, what regulation binds you, and where the gaps sit. An ESG SWOT analysis is a useful frame because it forces the outside view next to the inside one, across energy and emissions, working conditions and supply chain, compliance structures and reporting controls.
Check the regulatory exposure in the same pass. The CSRD now binds companies with more than 1,000 employees and more than 450 million euros in net turnover, for financial years starting in 2027. Below the threshold the pressure arrives anyway, through the EU Taxonomy, lenders and customer questionnaires.
A baseline is finished when it produces:
The last one is skipped most often and costs most. Across 1,443 European CSRD reports from the 2024 and 2025 cycles in my extraction pool, 14 percent publish no extractable Scope data at all and 8 percent report a Scope 3 figure smaller than Scope 1 or 2. Compliance without a time series is a photograph, not a steering instrument. That is my position on the whole exercise: a compliance-first strategy delivers a conforming report and leaves the value of the data unused, because the value sits in internal steering, not in the PDF. Data as of September 2026.
Double materiality is the filter that decides which topics enter the strategy at all: a topic qualifies if your company has a material impact on people or environment through it, or if it carries a material financial risk or opportunity for you. Everything that passes gets a target later, everything else stays out of the plan.
The part most guides mention in one line decides the result: the stakeholder procedure behind the matrix. Run it as three inputs rather than one survey. Structured interviews with the few actors whose judgement moves your business, typically key customers, lenders and works council. A written survey for employees and suppliers, so the base is wider than anecdote. A workshop with the functions that own the data, to test whether a topic rated material can actually be measured.
Document who said what and how it changed the rating. A common pattern is that a topic nobody had on the internal list, climate adaptation at a single production site for example, enters as material only after a customer names it. Without that documentation the decision is unexplainable a year later, to an auditor and to yourself.
A target is usable when it names a figure, a boundary, a baseline year and a date. Without the baseline year it cannot be tracked; without the boundary, Scope 3 in particular, it can be met by redrawing the perimeter.
Calibrate the ambition against two references instead of guessing. The first is external policy: the EU climate target of at least 55 percent net emission reduction by 2030 against 1990, and, for installations inside the EU Emissions Trading System, a price that already puts a cost on every tonne you keep emitting.
The second is what comparable companies actually disclose, where sector and size class matter more than any general benchmark: a target that reads ambitious in an office business is unremarkable in metal processing. I keep a database of extracted European CSRD and ESRS reports, currently more than 1,000 of them, to answer that question before a target is set rather than after it is missed. Read what a handful of comparable reporters committed to and by when, then set your own level knowingly. The metrics worth tracking are mostly the ones your peers already publish.
Targets become a strategy only when budget is attached, and this is where most programmes stall. Every measure competes for the same capital, so they need one common denominator: cost per tonne of CO2e avoided, the annualised net cost of a measure divided by the emissions it avoids each year. Sorted from cheapest to most expensive, the options form a marginal abatement cost curve, and measures with a negative cost pay for themselves.
| Ranking input | What it is | Where the figure comes from |
|---|---|---|
| Annualised net cost | Capital and operating cost minus energy or process savings, spread over the asset life | The investment case, signed off by finance |
| Emissions avoided per year | Tonnes of CO2e against the baseline year | Your inventory, same boundary as the target |
| Cost per tonne | Net cost divided by tonnes avoided, the ranking key | Calculated from the two rows above |
| Regulatory exposure | The carbon cost or obligation the measure removes | Compliance register and the EU ETS price path |
| Lifetime and lock-in | How long the asset stays in place | Asset register and replacement planning |
The ranking is an input, not the decision. The cheapest measure is regularly not the first one funded: it sits on an asset due for replacement, so the saving leaves with it, or its effect cannot be documented with data you already collect, which makes it worthless in the report even when it works. An expensive measure on a thirty year asset can outrank a cheap one because it prevents a generation of locked-in emissions. What comes out of the ranking plus those filters is a funded sequence instead of a wish list, and an answer to the question investors ask first, which is not how much you spent but why you spent it there.
Every target gets one accountable person, not a committee, and every measure gets a budget line and a date. Milestones in 90 day cycles keep the plan honest between annual reports. The reporting fit is not a separate project, because each step already produces the evidence a sustainability report needs:
| Step | What it produces | ESRS disclosure it feeds |
|---|---|---|
| 1 Status assessment | Data baseline, owners, gap list | ESRS 2 SBM-1 and the data points behind the topical standards |
| 2 Materiality analysis | Matrix and stakeholder documentation | ESRS 2 IRO-1 and SBM-3 |
| 3 Targets | Figures with boundary and baseline year | ESRS 2 MDR-T |
| 4 Funded measure sequence | Ranked measures with budget lines | ESRS 2 MDR-A |
| 5 Implementation and review | Responsibilities and review record | ESRS 2 GOV-1 and GOV-2 |
Review once a year, and review against the three failures that show up between adoption and the second reporting cycle, not against the strategy document. Data ownership erodes first: whoever compiled the baseline changes role and the numbers lose their source. Second, measures sit in the plan without an approved budget line, which means they were never decisions. Third, targets turn out to have been set without a baseline year, so progress cannot be shown even where it happened.
Five: a data baseline, a materiality matrix, targets with a boundary and a baseline year, a funded measure sequence, and an annual review record. The binding constraint is rarely the consulting budget, it is internal data ownership.
Test three things: whether every metric still has a named owner, whether the measures carry an approved budget line, and whether every target names a baseline year. Whatever fails goes back through steps three and four only.
ESG is the investor and reporting framing, organised into environmental, social and governance categories. A sustainability strategy is the operational framing and reaches further into product questions. The five steps are the same either way.
ESG and sustainability consultant based in Hamburg, specialised in VSME reporting and climate risk analysis. Has supported 300+ projects for companies and financial institutions, from mid-sized manufacturers to major banks and insurers.
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