Solution

Combine GSC, GA4, and SERP Data in One Analytics Pipeline

SEO teams juggle three data sources that never talk to each other: Google Search Console for impressions and clicks, GA4 for on-site behavior, and SERP data for competitive positio

The Problem

SEO teams juggle three data sources that never talk to each other: Google Search Console for impressions and clicks, GA4 for on-site behavior, and SERP data for competitive positioning. Correlating a ranking drop with a traffic drop with a conversion drop requires manual exports from three dashboards and a spreadsheet. The correlation is obvious in hindsight but invisible when data lives in silos. By the time someone builds the cross-reference, the opportunity to act has passed.

The Scavio Solution

Build an analytics pipeline that pulls GSC data via the API, GA4 data via the reporting API, and live SERP data via Scavio, then joins them on keyword and URL. The combined dataset shows the full story: this keyword dropped from position 3 to position 8 (Scavio), impressions dropped 40% (GSC), organic sessions dropped 35% (GA4), and conversions dropped accordingly. The pipeline runs weekly via MCP or cron and outputs a unified report that surfaces correlations automatically.

Before

Before this pipeline, correlating ranking changes with traffic and conversion impacts required manual CSV exports from three platforms and a spreadsheet that took hours to build and was outdated before it was finished.

After

After building the combined pipeline, ranking changes automatically correlate with traffic and conversion impacts. The weekly report surfaces the full story in one view, and the team acts on drops the same week they happen.

Who It Is For

SEO teams who need to correlate ranking changes with traffic and conversion impacts but are tired of manual cross-referencing across GSC, GA4, and SERP data dashboards.

Key Benefits

  • Unified view of rankings, traffic, and conversions per keyword
  • Automatic correlation between SERP changes and business impact
  • Weekly automated report replaces manual cross-referencing
  • MCP integration enables on-demand queries from any agent
  • Catches ranking-traffic-conversion drops in the same week they occur

Python Example

Python
import requests
import json
from datetime import datetime
from pathlib import Path

API_KEY = "your_scavio_api_key"

def get_serp_position(keyword: str, domain: str) -> dict:
    """Get current SERP position for a keyword."""
    res = requests.post(
        "https://api.scavio.dev/api/v1/search",
        headers={"x-api-key": API_KEY},
        json={"platform": "google", "query": keyword, "num": 30},
        timeout=15,
    )
    res.raise_for_status()
    data = res.json()
    position = None
    for item in data.get("organic", []):
        if domain in item.get("link", ""):
            position = item.get("position")
            break
    return {
        "keyword": keyword,
        "position": position,
        "has_ai_overview": bool(data.get("ai_overview")),
        "has_featured_snippet": bool(data.get("featured_snippet")),
    }

def build_combined_report(keywords: list[str], domain: str, gsc_data: dict, ga4_data: dict) -> dict:
    """Combine SERP positions with GSC and GA4 data."""
    rows = []
    for kw in keywords:
        serp = get_serp_position(kw, domain)
        gsc = gsc_data.get(kw, {})
        ga4 = ga4_data.get(kw, {})
        rows.append({
            "keyword": kw,
            "serp_position": serp["position"],
            "has_ai_overview": serp["has_ai_overview"],
            "gsc_impressions": gsc.get("impressions", 0),
            "gsc_clicks": gsc.get("clicks", 0),
            "gsc_ctr": gsc.get("ctr", 0),
            "ga4_sessions": ga4.get("sessions", 0),
            "ga4_conversions": ga4.get("conversions", 0),
        })
    # Flag keywords with drops across all three signals
    for row in rows:
        row["alert"] = (
            row["serp_position"] is not None
            and row["serp_position"] > 10
            and row["gsc_clicks"] > 0
        )
    return {
        "date": datetime.utcnow().strftime("%Y-%m-%d"),
        "domain": domain,
        "keywords": len(rows),
        "alerts": sum(1 for r in rows if r["alert"]),
        "rows": rows,
    }

# Example: GSC and GA4 data would come from their respective APIs
gsc_data = {"your keyword": {"impressions": 1200, "clicks": 85, "ctr": 0.07}}
ga4_data = {"your keyword": {"sessions": 80, "conversions": 5}}
report = build_combined_report(["your keyword"], "yourdomain.com", gsc_data, ga4_data)
print(f"Report: {report['keywords']} keywords, {report['alerts']} alerts")

JavaScript Example

JavaScript
const API_KEY = "your_scavio_api_key";

async function getSerpPosition(keyword, domain) {
  const res = await fetch("https://api.scavio.dev/api/v1/search", {
    method: "POST",
    headers: { "x-api-key": API_KEY, "content-type": "application/json" },
    body: JSON.stringify({ platform: "google", query: keyword, num: 30 }),
  });
  if (!res.ok) throw new Error(`scavio ${res.status}`);
  const data = await res.json();
  let position = null;
  for (const item of data.organic ?? []) {
    if (item.link?.includes(domain)) { position = item.position; break; }
  }
  return { keyword, position, hasAiOverview: !!data.ai_overview };
}

async function buildReport(keywords, domain, gscData, ga4Data) {
  const rows = [];
  for (const kw of keywords) {
    const serp = await getSerpPosition(kw, domain);
    const gsc = gscData[kw] ?? {};
    const ga4 = ga4Data[kw] ?? {};
    rows.push({ keyword: kw, serpPosition: serp.position, hasAiOverview: serp.hasAiOverview, gscImpressions: gsc.impressions ?? 0, gscClicks: gsc.clicks ?? 0, ga4Sessions: ga4.sessions ?? 0, ga4Conversions: ga4.conversions ?? 0, alert: serp.position > 10 && (gsc.clicks ?? 0) > 0 });
  }
  return { date: new Date().toISOString().slice(0, 10), keywords: rows.length, alerts: rows.filter((r) => r.alert).length, rows };
}

const report = await buildReport(["your keyword"], "yourdomain.com", { "your keyword": { impressions: 1200, clicks: 85 } }, { "your keyword": { sessions: 80, conversions: 5 } });
console.log(`Report: ${report.keywords} keywords, ${report.alerts} alerts`);

Platforms Used

Google

Web search with knowledge graph, PAA, and AI overviews

Frequently Asked Questions

SEO teams juggle three data sources that never talk to each other: Google Search Console for impressions and clicks, GA4 for on-site behavior, and SERP data for competitive positioning. Correlating a ranking drop with a traffic drop with a conversion drop requires manual exports from three dashboards and a spreadsheet. The correlation is obvious in hindsight but invisible when data lives in silos. By the time someone builds the cross-reference, the opportunity to act has passed.

Build an analytics pipeline that pulls GSC data via the API, GA4 data via the reporting API, and live SERP data via Scavio, then joins them on keyword and URL. The combined dataset shows the full story: this keyword dropped from position 3 to position 8 (Scavio), impressions dropped 40% (GSC), organic sessions dropped 35% (GA4), and conversions dropped accordingly. The pipeline runs weekly via MCP or cron and outputs a unified report that surfaces correlations automatically.

SEO teams who need to correlate ranking changes with traffic and conversion impacts but are tired of manual cross-referencing across GSC, GA4, and SERP data dashboards.

Yes. Scavio's free tier includes 250 credits per month with no credit card required. That is enough to validate this solution in your workflow.

Combine GSC, GA4, and SERP Data in One Analytics Pipeline

Build an analytics pipeline that pulls GSC data via the API, GA4 data via the reporting API, and live SERP data via Scavio, then joins them on keyword and URL. The combined dataset