What is page one
actually worth?
We analysed the keywords you want to win. We modeled the click curve, the ramp up, and your unit economics to show the revenue and profit on the table, and what the right search strategy will deliver.
| Metric | Overall | Transactional | Commercial | Informational |
|---|---|---|---|---|
| Position 1 click-through rate (%) | 52.38% | 33.34% | 58.72% | 46.98% |
| Position 2 click-through rate (%) | 22.37% | 20.94% | 20.94% | 16.75% |
| Position 3 click-through rate (%) | 15.91% | 8.78% | 8.78% | 7.02% |
| User-to-lead conversion rate (%) | 4.48% | 6.56% | 6.56% | 2.00% |
| Month | Realisation (%) | Incremental Revenue (Monthly) | Incremental Profit (Monthly) |
|---|---|---|---|
| Month 1 | 0.0% | £0.00 | £0.00 |
| Month 2 | 0.5% | £2,491.41 | £747.42 |
| Month 3 | 1.0% | £4,982.81 | £1,494.84 |
| Month 4 | 2.0% | £9,965.62 | £2,989.69 |
| Month 5 | 3.5% | £17,439.84 | £5,231.95 |
| Month 6 | 5.0% | £24,914.05 | £7,474.22 |
| Month 7 | 8.0% | £39,862.48 | £11,958.74 |
| Month 8 | 12.0% | £59,793.72 | £17,938.12 |
| Month 9 | 17.0% | £84,707.78 | £25,412.33 |
| Month 10 | 23.0% | £114,604.64 | £34,381.39 |
| Month 11 | 30.0% | £149,484.31 | £44,845.29 |
| Month 12 | 38.0% | £189,346.79 | £56,804.04 |
| TOTAL YEAR 1 | — | £697,593.45 | £209,278.04 |
| Month 13 | 47.0% | £234,192.09 | £70,257.63 |
| Month 14 | 57.0% | £284,020.19 | £85,206.06 |
| Month 15 | 67.0% | £333,848.30 | £100,154.49 |
| Month 16 | 77.0% | £383,676.40 | £115,102.92 |
| Month 17 | 85.0% | £423,538.88 | £127,061.66 |
| Month 18 | 91.0% | £453,435.74 | £136,030.72 |
| Month 19 | 94.0% | £468,384.18 | £140,515.25 |
| Month 20 | 96.0% | £478,349.80 | £143,504.94 |
| Month 21 | 98.0% | £488,315.42 | £146,494.63 |
| Month 22 | 99.0% | £493,298.23 | £147,989.47 |
| Month 23 | 99.5% | £495,789.63 | £148,736.89 |
| Month 24 | 100.0% | £498,281.04 | £149,484.31 |
| TOTAL YEAR 2 | — | £5,035,129.89 | £1,510,538.97 |
How we calculate these numbers: combining first-party performance data, intent-based click distributions, competitor landscape analysis, and probabilistic ranking models.
We extract the your actual Google Search Console & Google Analytics 4 (GA4) performance data (for UK users only and on non-branded terms) to establish true conversion and click baseline averages across positions 1–3 by search intent.
- Blended 12-month and 3-month GSC click-through rate (CTR) baseline segmented by query intent
- GA4 user-to-enquiry conversion rate (CVR)
- Your enquiry-to-client win rate
- Your Average Deal Value & Gross Margin
We pull ahrefs metrics for UK search volume, Keyword Difficulty (KD), current rankings, and competitor positions for two core keyword buckets:
- Opportunity terms: Keywords ranked #4–100 where competitors rank in the top 10.
- Gap terms: Keywords where you are unranked but competitors rank in the top 10.
- Categorisation of all terms by search intent (Transactional, Commercial, Informational).
Each keyword receives a tailored probability modifier and realistic target position assignment based on competitive keyword difficulty (KD).
- Target Assignment: Pos #1 (Low KD), Pos #2 (Med KD), Pos #3 (High KD).
- Probability Score: Applied via KD formula to account for ranking feasibility.
- SERP Multiplier: Downweights expected CTR for terms with invasive search engine result page (SERP) features (e.g. AI Overviews and Ads).
Expected monthly clicks, leads, clients, and revenue are modeled individually per target position.
- Monthly revenue = Expected Clicks × Enquiry CVR × Lead Win Rate x Deal Value
- Incremental Revenue: Target revenue minus estimated existing revenue generated today.
- Incremental Profit: Incremental revenue multiplied by gross margin.