# Data-driven synthesis: prozentrechner

**Auto-generated:** 2026-04-01 (UTC) · **Script:** `v2/scripts/tools/generate-tool-data-synthesis.php`

This file is the **single editorial anchor** for metrics-backed decisions: meta, H2s, FAQs, and the next iteration. Regenerate after refreshing exports (see [DATA_COLLECTION_TOOLS.md](../../DATA_COLLECTION_TOOLS.md) § *Per-tool synthesis*).

## 1. SISTRIX (market / keyword demand)

- **Source:** `data/keywords-sistrix.json` · generated `2026-03-29T17:59:26+00:00`

| Keyword | Volume | Competition | CPC (€) |
|---------|--------|-------------|---------|
| prozentrechner | 267000 | 70 | 2.9 |
| prozent berechnen | 3400 | 45 | 2.6 |
| prozentuale änderung rechner | 10 | 0 | 0 |
| rabatt rechner prozent | 200 | 0 | 3 |
| anteil prozent berechnen | 10 | 12 | 0 |
| differenz in prozent | 100 | 22 | 3.1 |

**Use:** Prioritise copy and H2 wording where **volume** aligns with GSC queries (see §3). High **competition** implies stronger SERP rivals — skyscraper depth and differentiated snippets (modes, exports).

## 2. Google Search Console & GA4 (our site, same date windows as JSON)

- **GSC page export:** `docs/content/tools/tools-performance-gsc.json` · range `2026-01-01`–`2026-04-01`
- **URL:** `/tools/prozentrechner` → clicks **1054**, impressions **968648**, CTR **0.109%**, avg position **7.7**
- **GA4 export:** `docs/content/tools/tools-performance-ga4.json` · range `2026-01-01`–`2026-04-01`
- **Path:** `/tools/prozentrechner` → sessions **710**, views **711**, avg. session duration **110.2s**

**Interpretation:** GSC clicks vs GA4 sessions will not match 1:1 (channel mix, consent, sampling). Use both: GSC for **search** diagnosis; GA4 for **on-site** engagement after click.

## 3. GSC queries (query dimension, page = exact URL)

- **Source:** `data/gsc-queries.json` · exported `2026-04-01` · range `2026-01-01`–`2026-04-01` · **7520** query rows

### Top 15 by impressions

| # | Query | Clicks | Impressions | CTR | Pos. |
|---|-------|--------|-------------|-----|------|
| 1 | prozentrechner | 212 | 238619 | 0.089% | 8.84 |
| 2 | prozentrechner € | 107 | 10971 | 0.975% | 7.89 |
| 3 | prozent rechner | 29 | 10229 | 0.284% | 8.57 |
| 4 | prozente berechnen | 22 | 9682 | 0.227% | 8.64 |
| 5 | prozentsatz berechnen | 13 | 6666 | 0.195% | 1.74 |
| 6 | prozentrechnung | 4 | 4829 | 0.083% | 1.11 |
| 7 | prozentuale steigerung berechnen | 1 | 4467 | 0.022% | 5.34 |
| 8 | prozentuale veränderung berechnen | 2 | 3821 | 0.052% | 3.66 |
| 9 | wie viel prozent | 0 | 3505 | 0% | 2.54 |
| 10 | berechnen | 3 | 2550 | 0.118% | 2.5 |
| 11 | wie viel prozent sind x von y | 5 | 2274 | 0.22% | 7.49 |
| 12 | prozent berechnen | 4 | 2180 | 0.184% | 8.77 |
| 13 | prozentrechner euro | 7 | 1877 | 0.373% | 8.55 |
| 14 | wieviel prozent sind | 0 | 1767 | 0% | 6.56 |
| 15 | 20 prozent von 100 euro | 3 | 1578 | 0.19% | 8.29 |

### Top 15 by clicks

| # | Query | Clicks | Impressions | CTR | Pos. |
|---|-------|--------|-------------|-----|------|
| 1 | prozentrechner | 212 | 238619 | 0.089% | 8.84 |
| 2 | prozentrechner € | 107 | 10971 | 0.975% | 7.89 |
| 3 | prozent rechner | 29 | 10229 | 0.284% | 8.57 |
| 4 | prozente berechnen | 22 | 9682 | 0.227% | 8.64 |
| 5 | prozentsatz berechnen | 13 | 6666 | 0.195% | 1.74 |
| 6 | prozentrechner euro | 7 | 1877 | 0.373% | 8.55 |
| 7 | wieviel prozent sind x von y | 6 | 322 | 1.863% | 6.02 |
| 8 | wie viel prozent sind x von y | 5 | 2274 | 0.22% | 7.49 |
| 9 | prozent rechner euro | 5 | 496 | 1.008% | 9.74 |
| 10 | prozentrechnung | 4 | 4829 | 0.083% | 1.11 |
| 11 | prozent berechnen | 4 | 2180 | 0.184% | 8.77 |
| 12 | berechnen | 3 | 2550 | 0.118% | 2.5 |
| 13 | 20 prozent von 100 euro | 3 | 1578 | 0.19% | 8.29 |
| 14 | prozent ausrechnen | 3 | 1009 | 0.297% | 10.06 |
| 15 | prozentrechner formel | 3 | 953 | 0.315% | 2.88 |

**Note:** Sum of clicks in this export (**563**) is usually **lower** than GSC page-level clicks — not all queries are shown (privacy thresholds, “other”), and dimensions differ. Trust **page-level** totals in §2 for overall CTR; use §3 for **which queries** to target in copy.

## 4. How this feeds the content loop

1. **Outline / H2s:** Map top impressions + high-CTR gaps to sections (already reflected in [`CONTENT_OUTLINE.md`](./CONTENT_OUTLINE.md)).
2. **Meta title & description:** Must include the head term and modifiers seen in §3 (e.g. „prozent rechner“, „€“).
3. **FAQs:** Align questions with query phrasing + filtered PAA (`data/paa-questions.json`).
4. **Next iteration (e.g. +8 weeks):** Re-run collectors → regenerate this file → compare §2–§3 to previous commit (diff in git) → update outline and backlog.