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SEO: expand inline contextual links to service pages

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Python pipeline article:
- "ETL jobs" -> /services/data-cleaning.php
- Added sentence linking to /services/web-scraping.php (data collection context)

London analytics article (UKDS profile section):
- "data extraction" -> /services/web-scraping.php
- "Web intelligence and competitive monitoring" -> /services/competitive-intelligence.php
- "Data pipeline automation and integration" -> /project-types.php

Churn prediction article:
- "Market price comparisons" -> /services/price-monitoring.php
- External data section: added context link to /services/web-scraping.php
This commit is contained in:
Peter Foster
2026-02-22 11:15:56 +00:00
committed by Peter Foster
parent 15e9ba598e
commit 4aae34075a
3 changed files with 5 additions and 5 deletions
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4
blog/articles/data-analytics-companies-london-top-providers-compared.php
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@@ -295,7 +295,7 @@ $modified_date = "2025-08-08";
<h4>Key Strengths</h4>
<ul>
<li>✅ <strong>End-to-End Data Solutions:</strong> From extraction to advanced analytics</li>
<li>✅ <strong>End-to-End Data Solutions:</strong> From <a href="/services/web-scraping.php">data extraction</a> to advanced analytics</li>
<li>✅ <strong>Compliance Expertise:</strong> Deep GDPR and financial services regulations knowledge</li>
<li>✅ <strong>Real-Time Capabilities:</strong> Streaming analytics and live dashboards</li>
<li>✅ <strong>Custom Development:</strong> Bespoke solutions for complex requirements</li>
@@ -307,7 +307,7 @@ $modified_date = "2025-08-08";
<li>Web intelligence and competitive monitoring</li>
<li>Business intelligence and dashboarding</li>
<li>Predictive analytics and machine learning</li>
<li>Data pipeline automation and integration</li>
<li><a href="/project-types.php">Data pipeline automation and integration</a></li>
<li>Custom analytics platform development</li>
</ul>

4
blog/articles/predictive-analytics-customer-churn.php
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@@ -403,12 +403,12 @@ $read_time = 14;
<div class="data-category">
<h4>External & Contextual Data</h4>
<p>Environmental factors that influence customer behaviour and churn decisions.</p>
<p>Environmental factors that influence customer behaviour and churn decisions. Gathering this data at scale typically requires <a href="/services/web-scraping.php">automated web scraping</a> to monitor competitor activity and market conditions in real time.</p>
<div class="external-factors">
<h5>Competitive Environment</h5>
<ul>
<li><strong>Competitive pricing:</strong> Market price comparisons, promotional activities</li>
<li><strong>Competitive pricing:</strong> <a href="/services/price-monitoring.php">Market price comparisons</a>, promotional activities</li>
<li><strong>Feature comparisons:</strong> Competitive product capabilities</li>
<li><strong>Market share shifts:</strong> Industry consolidation, new entrants</li>
<li><strong>Customer switching costs:</strong> Technical, financial, operational barriers</li>

2
blog/articles/python-data-pipeline-tools-2025.php
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@@ -114,7 +114,7 @@ $breadcrumbs = [
<li><strong>DataOps Integration:</strong> CI/CD practices and infrastructure-as-code approaches</li>
</ul>
<p>The modern data pipeline tool must balance ease of use with enterprise-grade features, supporting everything from simple ETL jobs to complex machine learning workflows, including <a href="/blog/articles/predictive-analytics-customer-churn">customer churn prediction pipelines</a>.</p>
<p>The modern data pipeline tool must balance ease of use with enterprise-grade features, supporting everything from simple <a href="/services/data-cleaning.php">ETL jobs</a> to complex machine learning workflows, including <a href="/blog/articles/predictive-analytics-customer-churn">customer churn prediction pipelines</a>. Before any pipeline can run, you need reliable data — explore our <a href="/services/web-scraping.php">professional web scraping services</a> to automate data collection at scale.</p>
</section>
<section>