SEO Data Warehousing

Data Intelligence.

Stop making decisions based on "best practices." Start using BigQuery, Python, and Predictive Modeling to forecast ROI and uncover hidden growth vectors.

BigQuery
Python / Pandas

From Dashboard to Database

Google Search Console interface samples data. We connect directly to the API, storing millions of rows in BigQuery to visualize Year-over-Year trends without sampling limits.

  • Predictive Forecasting Models
  • CTR Curve Analysis by Subfolder
  • Server Log Analysis (Bot Hits vs. Revenue)

import pandas as pd

from google.cloud import bigquery


# Query non-branded organic traffic

query = """

SELECT query, clicks, impressions

FROM `search_console_data.url_impression`

WHERE NOT REGEXP_CONTAINS(query, 'brand_name')

ORDER BY clicks DESC

"""


df = client.query(query).to_dataframe()

df['ctr_potential'] = df.apply(calculate_opportunity, axis=1)