Shahid Anwar

The useful measures are the cost of landing a signed job and the revenue it generates.

• These matter most when a business plans to scale ad spend: a wrong cost estimate can hide shrinking margins.
• The fix is a tracking chain from lead source through sales stages to revenue, not a new channel.

A custom pool builder doing $6.8M a year spent $48K a month on Google Ads.

• The owner estimated that a signed pool project from Google cost $1,200.
• The actual figure was $4,800—four times higher.
• The business remained profitable because its average project was about $95K, but scaling ad spend on the wrong acquisition cost risked crushing margins.

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That chain shows which channels produce signed jobs.

In the plumbing case, every call and form was tracked in the CRM and tied to the exact Google Business Profile that generated it. In the window replacement case, connecting the CRM to the ad account revealed that the budget was going to $200–$400 repair jobs while $8,000–$25,000 replacement searches were being outbid.

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It needs the right categories, complete services, accurate descriptions, products, project photos, and a review routine tied to completed jobs. Reviews are part of daily operations, not a one-time request.

A window replacement company's primary category was "Glass & Mirror Shop," despite selling $15K replacements.

• After the profile was rebuilt around what the company actually sold, the post reports 160+ inbound calls a month from the profile alone.
• Reviews grew from 47 in three years to 20+ a month through on-site asks, texts, and office follow-up; within four months, the company passed a competitor that had held the top spot for two years.

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The analysis starts with 12 months of closed-job CRM data mapped by ZIP code: job address, service requested, qualified leads, booked jobs, sold jobs, lost jobs, revenue, gross profit, and drive time.

• Areas are then ranked by job density, average ticket, gross profit, close rate, drive time, crew availability, competitor strength, and review velocity.
• GeoGrid scans distinguish an SEO problem from a profile that is simply too far away to rank.
• Any second location must be a real operating location, and the break-even job count must work on paper before a lease is signed.

The post argues against opening a second profile just because a suburb has more people.

• One ZIP might produce fewer jobs worth twice the profit, while another might send many leads with poor close rates and long drive times.
• In the plumbing case, a second office opened only after the first profile gained momentum, with its own address, tracking number, and reviews.
• Ten months later, the company had $859,816.11 in tracked sales on a $36K investment.

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The same logic applies to plumbing companies, with a page for every service and location.

In the window replacement case, homeowners were described as comparing three to five companies and researching for weeks. After the site was rebuilt with service pages, suburb pages, project photos, financing, and before-and-after galleries, conversion rose from 1.2% to 4.8% on the same traffic.

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The goal is not more leads but more profitable jobs. Closed-job data should drive both organic and paid decisions.

In the window replacement case, cutting low-ticket repair traffic and shifting budget to high-value replacement searches raised Google Ads return on ad spend from 2.8x to 6.5x on the same monthly spend. The same post reports organic leads up 280% and lead close rate rising from 22% to 38%, with organic results still compounding.

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The post answers the question a newcomer is really asking: what does one signed customer cost, and how can you find out?

A custom pool builder running a $6.8M-a-year business was spending $48K a month on Google Ads.

• The owner knew their cost per click, ad leads, and cost per lead, but not how many leads answered the phone, booked an in-home design consultation, signed a contract, or generated revenue from ads.
• Asked what it cost to land one signed pool project, they guessed $1,200.
• Properly tracked, the figure was $4,800.
• The business remained profitable because its average project is around $95K, but the owner was scaling spend against a customer acquisition cost four times lower than reality.
• Doubling the budget without fixing the funnel could have crushed their margins.
• The fix was tracking: unique call tracking by channel, every lead source tagged in the CRM, the sales team confirming the source when a consultation was booked, and monthly reporting from lead through consultation, signed contract, and revenue.

For brands planning a campaign

A strong entry point for a measurement-focused case study.

• This is not a story about a channel tactic; it is about a business making million-dollar decisions with half a dashboard.
• That framing suits an agency partnership aimed at owners who already spend on ads but cannot say what a customer costs.

It shows whether the method holds up beyond a single tactic.

A window replacement company spent $42K and, six months later, had closed over $860K in new jobs.

• On Google Ads, the company was spending $11K a month at a 2.8x return on ad spend, but nobody was tracking which leads became customers.
• Connecting the CRM to the ad account showed that much of the budget was chasing $200-$400 repair jobs while the $8K-$25K replacement searches were being outbid.
• Cutting the low-ticket traffic and shifting budget to high-value searches raised return on ad spend from 2.8x to 6.5x on the same monthly spend.
• The Google Business Profile had a primary category of "Glass & Mirror Shop" for a company selling $15K replacements, so categories, services, descriptions, products, and project photos were rebuilt.
• Reviews stood at 47 over three years, against a competitor's 280.
• A system built around every completed job—with the installer asking on site, a text going out later, and the office following up on larger jobs—produced 20 or more reviews a month and passed the long-standing top competitor within four months.
• The website was rebuilt around how homeowners actually buy, with service pages, suburb pages, project photos, financing, and before-and-after galleries.
• Conversion rose from 1.2% to 4.8% on the same traffic.
• Close rate on the leads went from 22% to 38%.
• Reported results after six months: $42K invested, $860K+ in new jobs closed, organic leads up 280%, and 160+ inbound calls a month from the Google Business Profile alone.

For brands planning a campaign

This is the anchor case study for a campaign showing multi-channel local work rather than a single lever. The sequence matters for content planning: measurement first, then profile and reviews, then the website, then sales alignment.

It answers the obvious objection: isn't a second listing against Google's rules?

A plumbing company had one Google Business Profile, one address, one market, and one ceiling.

• Tracking came first: every call and form was tracked in the CRM and tied to the exact profile that generated it, grounding expansion decisions in real numbers.
• The original profile was rebuilt with correct categories, every service filled out, fresh photos, and a location page matching the market it served.
• Reviews became part of daily operations: technicians asked in person, used a QR code on the spot, and followed up by SMS and email; the office tracked who still needed to leave a review.
• The website was rebuilt with a page for every service and location.
• Only after the first profile gained momentum did the company open a second office, chosen based on completed jobs, average ticket, close rate, and areas the first profile could never rank in.
• The second profile had its own address, tracking number, and reviews, and built its review base slowly from real jobs.
• Ten months later, the company had $859,816.11 in tracked sales, taken straight from the CRM rather than estimated, on a $36K investment.

For brands planning a campaign

The clearest measurement-first expansion story in the set, with the most specific tracked figure. For brands seeking numbers viewers can look up rather than round estimates, this is the example to lead with.

It shows how expansion decisions are made before any money is spent and lets readers judge whether the thinking is practical or promotional.

The starting point is not population.

• Shahid Anwar pulls 12 months of closed-job data from the CRM and maps it by ZIP code: job address, service requested, qualified leads, booked jobs, sold jobs, lost jobs, revenue, gross profit, and drive time.
• One ZIP might produce fewer jobs worth twice the profit; another might send plenty of leads with poor close rates and long drive times.
• Areas are then ranked by job density, average ticket, gross profit, close rate, drive time, crew availability, competitor strength, and review velocity.
• GeoGrid scans around the strongest pockets to distinguish a business struggling because of SEO from one whose profile is simply too far away to rank.
• If the data supports a second location, the premises must be real: real staff, real operations, a documented address, local service capability, and a legitimate reason for the location to exist—not a virtual office, a mailbox, or a duplicate listing at the same address.
• Before signing a lease, the number of incremental jobs needed to break even is tested against a conservative close rate.
• The location does not open if the numbers do not work on paper.
• After launch, the second location gets its own profile, citations, photos, reviews, landing pages, call tracking, GeoGrid tracking, and revenue reporting.

For brands planning a campaign

This pairs naturally with the case studies as a "how they think" piece. It suits an educational content partnership aimed at multi-location home-service operators weighing expansion and seeking a decision framework, not another case study.

In one post, a custom pool builder estimated its cost per signed project from Google at $1,200; the tracked figure was $4,800.

• The client was still profitable because the average project was around $95,000, but scaling ad spend based on an estimate four times too low threatened margins.
• Another post describes a window replacement company where connecting the CRM to the ad account showed that budget was going to $200-$400 repair jobs while $8,000-$25,000 replacement searches were being outbid.
• After shifting spend and rebuilding other assets, Google Ads ROAS rose from 2.8x to 6.5x, and lead close rate rose from 22% to 38%.

For brands planning a campaign

A brand can use this as a case-study angle on connecting marketing to sales outcomes, not just channel tactics. It will need real tracking data and client permission to share figures.

Examples: Source 1 · Source 2

In the plumbing case, every call and form was tracked in the CRM and tied to the exact Google Business Profile that generated it. The goal is to replace guesses with a clear record of which channels produce signed jobs.

Start with CRM and call-tracking data, then use the results to reallocate budget and rebuild local assets.

For brands planning a campaign

A partnership could walk through a practical tracking audit: what to tag, what to report, and how to connect ad platforms to CRM stages. The material could become a lead magnet or co-branded checklist.

Examples: Source 1 · Source 2

In the window replacement case, the primary category was "Glass & Mirror Shop" for a company selling $15,000 window replacements.

• After rebuilding the profile around what the company actually sold, the post reports 160+ inbound calls per month from the profile alone.
• The review process is operational: installers ask on-site, a text or QR code follows, and the office tracks who still needs to leave one.
• The company went from 47 reviews in three years to 20+ per month and passed a competitor that had held the top spot for two years.

For brands planning a campaign

This supports a case study on profile hygiene and review velocity as an ongoing routine, rather than a one-time optimization. Ask the creator for access to profile and review data.

Examples: Source 1 · Source 2 · Source 3

Anwar starts with 12 months of closed-job CRM data mapped by ZIP code, including job address, service requested, qualified leads, booked jobs, sold jobs, lost jobs, revenue, gross profit, and drive time.

• Areas are ranked by job density, average ticket, gross profit, close rate, drive time, crew availability, competitor strength, and review velocity.
• GeoGrid scans help distinguish an SEO problem from a profile that is simply too far away to rank.
• The post also requires a real operating location with real staff, documented address, local service capability, and a break-even calculation before signing a lease.
• A separate plumbing case describes opening a second office only after the first profile had momentum, with its own address, tracking number, and reviews.

The post advises against opening a second profile just because a suburb has more people; more leads do not always mean more money.

For brands planning a campaign

The strongest content angle is expansion discipline: profitable jobs already coming from an area, not population size. A brand can build a case study around a transparent decision framework; ask for an operator willing to discuss non-confidential data.

Examples: Source 1 · Source 2

For window replacement, the post notes that homeowners compare three to five companies and often research for weeks.

• The rebuild included service pages, suburb pages, real project photos, financing information, and before-and-after galleries.
• The post reports the conversion rate rising from 1.2% to 4.8% on the same traffic.
• In the plumbing case, every service and location got its own page, with content built around what gets searched.

For brands planning a campaign

This gives a campaign a concrete website-conversion case study rather than a generic local SEO story. A brand can frame the partnership around site architecture, proof assets, and location pages.

Examples: Source 1 · Source 2

The pool builder post opens with a mistaken cost-per-contract estimate, then walks through the tracking fix.

• The second-GBP post rejects choosing an expansion market by population, then lists the data used instead.
• One window replacement post says the full strategy is in a carousel; ask for the carousel to review the complete asset.

The window replacement post points readers to a carousel for the full breakdown; ask for that asset to review the complete strategy.

For brands planning a campaign

Brand partnership content can use the one-case, metric-led structure, but each post needs verified numbers and clear disclosure. The format works best when the brand supplies one concrete client story rather than broad tips.

Examples: Source 1 · Source 2 · Source 3 · Source 4

They show the website and profile tasks completed each month, map-rank progress, and the link, citation, and review work behind it.

Roni Sarker presents the work as an ongoing monthly fulfillment process, with deliverable checklists and ranking reports, often for agencies and small businesses. Shahid Anwar ties similar work to closed-job revenue, CRM tracking, and expansion decisions, and rarely lists monthly deliverable bundles.

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Okasha Sammer also covers ecommerce and paid social (Shopify, Meta Ads, TikTok) and pitches white-label execution to other marketers. Shahid Anwar focuses more on home-service local search and measuring marketing by signed contracts and closed revenue.

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Moshe Soloff writes conceptual explainers, including local versus national SEO and AI-driven product recommendations, rather than metric-led client campaigns or CRM and closed-job analysis. Shahid Anwar builds most posts around one client's before-and-after numbers.

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The two posts inventory delivery.

• One outlines a monthly tree-service programme covering website auditing, technical fixes, internal linking, schema, link building, citations, Map Embed and Google Business Profile posting counts.
• The other reports Map Grid movement for a gate-repair business in Elk Grove, California: average rank 1.04 for the local term and 1.78 for the broader one, with no out-of-map positions.
• Both close by offering white-label fulfilment to agencies.
• For an agency looking to move rankings and build citations while keeping the client relationship, Sarker is the closest match of the three alternatives for local-SEO execution.

The posts report rankings and deliverables, but not cost per signed job, closed revenue or CRM attribution—the owner-level before-and-after numbers the case-study series needs.

• The reported rank figures are unaudited, so ask for supporting evidence.
• The commercial fit is also a conflict, not a complement: white-label fulfilment for agencies overlaps with the commissioning agency’s own delivery, so a partnership would compete with its service line rather than supply content.
• Posts dated 4 August 2026 and 20 September 2026.

Examples: Source 1 · Source 2

It offers a six-point Google Business Profile checklist for roofing, flooring, remodeling, cleaning and HVAC contractors, with a number attached to each point: first Map Pack movement 18 to 24 days after correcting the primary category, 8 to 12 new reviews a month, and a remodeling contractor going from ranking in one city to nine in 90 days by adding service-area pages.

• Choose Sammer for short, owner-facing Google Maps advice a contractor can act on in one sitting, or for an India and South Asia e-commerce strand.
• The other post is a Shopify growth case study written in English and Hindi, reporting Rs 3,000,000 a month in revenue across 1,369 orders.

The two posts span different markets and disciplines, offering range rather than a deep home-service reporting bench: one covers US local search advice, the other Indian e-commerce growth.

• The figures lack a named client, workspace or tracked-revenue chain, so ask for substantiation before using them in a sponsored claim.
• Like Roni Sarker, this creator offers backend white-label execution for other marketers, which overlaps with the agency’s delivery lane rather than supplying editorial.
• Posts dated 12 June 2026 and 31 August 2026.

Examples: Source 1 · Source 2

One post distinguishes local from national SEO by intent, contrasting a locksmith search that depends on proximity with a question like what a kosher restaurant is, and names the kind of business each approach fits.

• The other covers AI-driven recommendations: Shopify products surfacing inside ChatGPT and the product-data fundamentals that determine whether a store gets picked, including clear titles, clean variant data, strong categories, and reviews or mentions off-site.
• Choose Soloff when the campaign aims to teach readers how to pick a strategy or get products recommended by AI, and a clear decision framework matters more than one client’s numbers.

Neither post names a campaign or reports spend or closed revenue; the examples are generic, so they do not demonstrate the firsthand home-service execution shown in the pool, plumbing and window-replacement cases.

• This is better suited to a guide or explainer commission than the agency’s case-study series.
• Before commissioning a case study, ask for firsthand home-service results, cost per signed job or attribution data, and commercial terms.
• Posts dated 20 March 2026 and 13 April 2026.

Examples: Source 1 · Source 2