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Real Estate & Storage

National SEO for a 240-location modular building brand

Mobile Modular

35 states, $77M+ pipeline uncovered

Industry

Real Estate & Storage

Scope

Multi-location national SEO across hundreds of service areas

Timeframe

Ongoing engagement, 6+ months

The Challenge

A national modular building brand with 240+ delivery locations was ranking almost exclusively through its homepage. Product pages and location pages had minimal organic visibility. The homepage was outranking the correct product pages for category terms in 45 of 51 states. $77M in identified Salesforce pipeline was sitting in states with no supporting location page.

Our Approach

Location page architecture, product page optimization, and homepage cannibalization resolution. Salesforce revenue data cross-referenced with GSC to rank markets by actual pipeline contribution.

  • Cross-referenced 1,741 delivery cities against GSC data to find location page gaps
  • Identified 35 states with active revenue but no state-level page, covering $77M in Salesforce pipeline
  • Resolved homepage cannibalization by establishing clear page hierarchy for product categories
  • Location page expansion strategy ordered by actual revenue per market, not keyword volume
  • Meta title audit across 12 key pages; before/after CTR impact tracked in BigQuery
  • 1,025-term keyword discovery covering the modular construction cluster, producing a 412-row keyword map enforcing 3-keyword-per-page rule

Results

What we measured.

$77M+
Pipeline gap identified
35 states with revenue but no location page
35
Location gap states
Each mapped to actual Salesforce revenue
7 of 12
Pages with CTR reversed
Post meta title fix, BigQuery-tracked

What I learned

The insight was in the Salesforce data, not the keyword tool. 35 states had actual revenue from modular building deliveries with zero organic support. We did not have to guess which pages to build first.

Aditya Aman, Founder — Grow With Gradient

How we work

Every engagement documented here runs through the same Revenue SEO OS: a 120-skill agent stack, fine-tuned SEO model with 100% citation rate, and BigQuery data infrastructure connecting GSC, GA4, and CRM data for attribution.

Read our methodology

FAQ

Questions about this engagement

GSC, GA4, BigQuery, and Salesforce — depending on the client. We pull and cross-reference the data ourselves. For InstaRem and HeadOut, organic revenue was tracked from session to conversion to transaction using the attribution pipelines we built. For Mobile Modular, pipeline figures came directly from Salesforce cross-referenced against delivery city data.
Five clients have confirmed permission to publish under the Grow With Gradient brand with named attribution. The remaining three are active engagements in finalization — full studies publish once each client provides written sign-off. Summaries describe the real scope and approach in the meantime.
First 30 days: technical audit, baseline GSC and GA4 data pull, keyword clustering, content architecture. Days 31-60: on-page fixes, first content batch, schema implementation. Days 61-90: second content batch, backlink outreach started, first impact measurement against baseline. Everything is measured against what we found in week one.
Yes. Several clients in this list started with effectively zero organic traffic. The approach for a near-zero baseline is different from optimising an established site: technical foundation first, then specific buyer-intent terms before broader category keywords. We do not skip the foundation step.

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