How Raise Lens match scoring works, and how to read it
If you are running an early-stage venture or a small nonprofit, you already know the problem: there are hundreds of grants, contracts, and offtake programmes live at any moment, and most of them are not for you. Sorting through them manually is not a research task, it is a tax on your time. The Raise Lens match score exists to cut that list down before you spend a single hour on an application. This guide explains exactly how that score is built, what the bands mean in practice, and how to use it to get from 500 results to five worth acting on.
What the five score dimensions actually measure
Every opportunity on Raise Lens carries a composite match score built from five underlying dimensions. Each one answers a different question about fit.
Commercial fit
This dimension measures how closely the funder's stated focus areas, eligible activities, and sector definitions overlap with what your organisation does. A renewables grid storage company scores high on commercial fit for the UKRI Faraday Battery Challenge but low on it for a USAID agricultural resilience contract, regardless of any shared climate language. The signal here is sector and activity alignment, not just keyword matching.
Climate fit
Climate fit captures alignment with the sustainability taxonomy that sits at the core of Raise Lens. This is distinct from commercial fit because many funders now layer climate criteria on top of sectoral criteria. A construction SME might have moderate commercial fit for a government retrofit procurement but high climate fit if it holds certified low-carbon credentials. The two dimensions can diverge, and when they do, that divergence is informative.
Hidden score
This is where Raise Lens earns its keep. The hidden score reflects how much competition an opportunity is likely to attract relative to its funding quantum. Programmes with low public visibility, limited promotional spend from the funder, and narrow eligibility windows tend to score higher here. A well-publicised Innovate UK Smart Grant round draws thousands of applicants. A quietly opened European Innovation Council Transition call, or a corporate offtake tender circulated only to registered suppliers, draws far fewer. Hidden score normalises for that asymmetry so that your effort-to-probability ratio stays legible.
Urgency score
Urgency is a time-weighted signal. It rises as the deadline approaches, but it is not a simple countdown. It also factors in whether the funder has a pattern of extending deadlines (which reduces urgency) and whether the opportunity is an expression of interest stage before a full application (which increases urgency, because EoI windows are typically short and missing one removes you from the process entirely). A score that was moderate last week may be high urgency this week.
Maturity fit
Maturity fit answers whether the programme's eligibility criteria match your organisation's current stage. Some funders, such as the Department of Energy's ARPA-E programme in the US or the EU's European Research Council Proof of Concept grant, have minimum technology readiness levels or prior grant requirements that rule out genuinely early-stage applicants. Others, including many community foundation grants and USAID Development Innovation Ventures' entry-tier funding, are structured specifically for organisations that have not yet scaled. Maturity fit flags mismatches before you read the full guidelines.
How the composite score is weighted
The five dimensions are not averaged equally. Commercial and climate fit together form the base of the score: they establish whether an opportunity is plausible at all. But the composite tilts toward hidden and urgency signals, because those dimensions carry the most actionable information.
Here is the reasoning. If an opportunity has strong commercial and climate fit but low hidden score and low urgency, it is almost certainly a well-known programme with a long runway. You already know about it. You will apply or you will not. The match score is not adding much.
Where the score genuinely changes your behaviour is when hidden and urgency are both elevated. That combination surfaces an opportunity you probably have not seen, that is closing soon, and where competition is limited. That is the quadrant where application effort has the best expected return. The weighting reflects this: hidden and urgency together account for a larger share of the composite than either commercial or climate fit alone.
Maturity fit acts partly as a gate. A low maturity fit score can suppress the composite even when the other dimensions are strong, because applying to a programme you are ineligible for is not a prioritisation decision, it is a waste.
Reading the badge colours
Match scores appear as coloured badges on every listing. The bands work as follows.
80 and above (green). Strong match across most dimensions. This opportunity should be on your shortlist unless the maturity fit dimension is flagging a specific eligibility problem. Read the full listing and check the deadline.
60 to 79 (amber). Reasonable fit but with at least one dimension pulling the score down. Click the badge to see which dimension is weak before deciding whether to invest time. Often the gap is in maturity fit or commercial fit, which tells you something useful about where your profile description may need sharpening.
40 to 59 (yellow). Marginal fit. Worth a look only if your pipeline is thin or if the hidden score is notably high within this band, which would mean a low-competition opportunity that is somewhat adjacent to your focus. Do not apply on the basis of optimism about adjacent fit; it rarely succeeds.
Below 40 (grey). The relevance filter has found little alignment. Skip it. Occasionally these appear in your feed because you have not completed your eligibility profile, which brings us to the next section.
The profile completeness multiplier
The match score is only as good as the information it has to work with. Filling out your eligibility profile (sectors, country of operation, organisational stage, and entity type) applies a completeness multiplier to the scoring model. Without it, scores are generated against a generic profile and will surface more noise.
In practical terms: an incomplete profile means the hidden and maturity dimensions in particular have less to work with. You may see inflated scores for opportunities that are structurally unsuitable, and suppressed scores for ones that are actually a strong fit. Completing the profile is the single highest-leverage action you can take to improve score quality before you start filtering.
A worked example: from 80 results to 5
Suppose your organisation develops low-carbon building materials and you open Raise Lens to 80 live opportunities across grants, government contracts, and corporate programmes.
Sort by match score descending. Set the minimum score filter to 60. You are now looking at perhaps 20 results instead of 80.
Within those 20, sort by hidden score descending. You want to find the opportunities with strong composite scores that are also under the radar. Suppose five results have a hidden score above 70. These are your primary targets.
Now check urgency on those five. If two have high urgency (deadline within three weeks), those go to the top of your working list. The other three are worth tracking but do not need action this week.
Finally, click the badge on each of the two urgent, high-hidden results and read the per-dimension rationale. If maturity fit is amber on one of them, read the eligibility criteria carefully before committing time. If all five dimensions are green or amber, draft your expression of interest.
You have moved from 80 listings to two active applications and three in your watchlist, in under fifteen minutes of triage.
Use this in Raise Lens
- Complete your eligibility profile by filling in your sectors, country, stage, and organisation type: score quality improves significantly once this information is in place, particularly for the maturity and hidden dimensions.
- On /opportunities, sort by match score descending and set the minimum score to 60 so that only substantive matches appear in your feed.
- Use the per-dimension filters (commercial, hidden, urgency) when you have a specific search shape: selecting "hidden + urgent" together surfaces low-competition opportunities that are closing soon, which is typically the highest-value quadrant.
- Click any score badge on a listing to open the per-dimension breakdown and read the rationale, which tells you exactly which dimension is suppressing or boosting the composite and why.
The match score is a triage tool, not a guarantee. It reduces the cost of finding the right five opportunities from a field of hundreds, but the quality of the application still rests with you. Start by browsing your current matches on /opportunities with your profile complete and your minimum score set, and see what surfaces.