Digital Marketing & Content at NexusForge Solutions

Most businesses don't know where the pain is actually coming from.

I don't start with years of experience. I start with your problem.

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Business problem

Diagnosis

Solution

Growth

I find the real bottleneck behind stalled growth, build the right strategy around it, and turn data into measurable results.

Google AdsMeta AdsConversion TrackingContent marketing

Explore my work Let's solve your problem

Local businesses audited

Pain points identified Problems researched Solutions suggested

200+ businesses. One valuable lesson.

I've audited the marketing of 200+ local business owners to understand what was actually holding their growth back.

Those audits became one of my biggest learning experiences — exposing me to different business models, customer journeys, and the bottlenecks that quietly stall them.

More than anything, they taught me that the problem is rarely as simple as "I need more ads."

What the audits showed

What I found in 200+ business audits

Among the businesses I audited, around 30% were already running Google Ads — an observation from that sample, not an industry statistic. Yet many couldn't clearly explain why those campaigns were underperforming. They were spending on advertising, but the results weren't matching the investment.

Google Ads problems

Poor ad relevance and search-intent alignment
Low CTR, weak ad copy
Missing or weak ad assets
Key services buried, not highlighted
Inefficient budget allocation

Landing page problems

Weak or unclear value proposition
Vague service information
Poor CTA placement and structure
Ad-to-page mismatch
A confusing customer journey

Conversion problems

Missing or incorrect tracking
No clear conversion measurement
No visibility into where users drop off
Decisions made without reliable data

Ad→ Click→ Landing page mismatch risk → Action→ Conversion

The most common leak: what the ad promises and what the landing page actually delivers stop matching each other.

A pattern across the audits

AI can launch your ads. It can't replace strategic optimization.

One pattern showed up again and again: a growing reliance on AI to create and publish campaigns. Ads can now go live faster than ever.

But launching an ad is not the same as optimizing one. Without understanding the business context behind it, small inefficiencies get baked in early — and as budget scales, they become expensive problems.

AI can help you launch faster. Strategy helps you spend smarter.

What optimization actually depends on

Business context
Audience definition
Search intent
Ad relevance & copy
Bidding & budget allocation
Conversion data
The full customer journey

Just launching

Ads go live in minutes
Inefficiencies stay hidden inside the account
Cost per result drifts upward as budget scales

Launching, then optimizing

Same fast launch
Inefficiencies caught before they compound
Cost per result holds steady as budget scales

Where things actually break

The problem isn't always the ad.

Sometimes the audience is wrong. Sometimes the offer is unclear. Sometimes the landing page loses the customer. Sometimes the tracking doesn't tell the truth. And sometimes the business simply doesn't know where the bottleneck is.

I don't look at advertising in isolation. I look at the entire journey, from the first click to the final conversion.

Methodology

I start with the problem.

A repeatable process for finding the real bottleneck and building a solution around it — the same six steps behind every case study in this site.

Research

Understand the business, audience, offer, market, existing campaigns, website, and whatever data is already available.

Diagnose

Identify the actual bottleneck, rather than assuming the problem is "more ads."

Strategize

Build a practical strategy shaped around the specific problem this business has.

Execute

Implement the solution through Google Ads, Meta Ads, conversion tracking, landing-page changes, or whatever else the diagnosis calls for.

Measure

Track the actions and conversions that actually matter, using reliable data.

Optimize

Analyze performance, remove inefficiencies, reinforce what works, and scale with intent.

Find the pain. Fix the bottleneck. Measure the growth.

Services

Business problems, matched to marketing solutions.

Three services, each built to answer a specific question: is anyone searching, is the right audience seeing it, and can you actually measure what happened.

When search intent isn't converting

Google Ads

Search campaigns
Keyword research
Search intent analysis
Campaign structure & ad copy
Ad assets
Conversion tracking
Budget & performance optimization

When the audience isn't finding you

Meta Ads

Campaign strategy
Audience research
Campaign setup
Creative testing
Retargeting
Conversion tracking
Performance analysis & optimization

When decisions are made blind

Conversion tracking

Google Tag Manager
GA4
Google Ads conversion tracking
Meta Pixel
Event tracking
Funnel tracking & measurement

Selected work

Real accounts, tracked over time.

Eight real accounts below, spanning search, calls, lead forms, and the tracking behind them — this is what the process actually produces, not a mockup of it.

Google Ads overview for Oct 12–18, 2025 showing 1,401.66% actual ROAS and $13.97 cost per conversion

Managed account — 2025

A 109-campaign account, tracked from July to October

Problem: In July, the account was converting reliably across 109 active campaigns, but each conversion cost $63.05 against $78.3K spent that month.
Diagnosis: The account wasn't broken — the inefficiency was concentrated in a handful of campaigns pulling the average cost up.
Strategy: Shift budget toward what was already converting, tighten the rest, and keep the full structure intact instead of rebuilding it.
Execution: Adjusted bids and budgets weekly through August and into October.
Result: Cost per conversion fell from $63.05 in July to $46.16 in early August, then to $13.97–$14.34 by October, with a 1,401.66% actual ROAS in the Oct 12–18 week.

Google Ads overview for the first 30 days of a new account, showing 350 clicks and 26 conversions

Managed account — 2025

A brand-new account's first 30 days

Problem: A freshly created account had no history to lean on — every early decision carried more weight than usual.
Diagnosis: Week one was thin: 115 clicks, 10 conversions, $34.57 per conversion. Nothing wrong, just early.
Strategy: Keep the structure simple and disciplined in week one, then widen only where the data justified it.
Execution: Monitored performance daily and adjusted through the first month.
Result: By day 30: 350 clicks and 26 conversions, cost per conversion holding near $38, total spend under $1,000.

Google Ads overview for Sep 1–8, 2025 showing 25.8K clicks and 12.5K conversions

Managed account — 2025

Scaling volume without losing efficiency

Problem: The account needed real conversion volume without cost per conversion creeping up as spend scaled.
Diagnosis: Conversions were tracking almost in step with clicks — a sign the targeting and offer were already well matched.
Strategy: Keep pushing volume through the structure that was already working, rather than second-guessing it.
Execution: Tracked performance week over week, Sep 1–8 into Sep 9–12.
Result: Cost per conversion dropped from $2.25 to $1.51 in the days that followed, with spend holding at real scale — $28K, then $8.83K.

Google Ads overview for Jan 1 – Mar 1, 2026 showing a 41.40% conversion rate

Managed account — Q1 2026

An international account, same discipline

Problem: A client outside the usual markets needed the same rigor applied in a different currency and audience.
Diagnosis: Broad targeting was pulling in clicks that were never going to convert.
Strategy: Narrow toward the audience segments that were already converting well.
Execution: Ran and adjusted campaigns through the first quarter.
Result: 498 conversions from 1.2K clicks — a 41.40% conversion rate — on a season-long budget in the low five figures.

Google Tag Manager tags list showing Facebook Pixel and GA4 server-side event tags

Technical build

A tracking layer both platforms could trust

Problem: Without reliable tracking, ad platforms optimize toward guesses instead of real outcomes.
Diagnosis: No server-side tagging existed, and Meta and Google had no shared definition of a conversion.
Strategy: Build one measurement layer both platforms could read from.
Execution: Set up Google Tag Manager with server-side GA4 events mirrored to Meta Pixel for add-to-cart, checkout, view-content, and purchase.
Result: Those four events now fire consistently to both platforms — the same measurement layer behind the accounts above.

Google Ads overview for July 2026 showing 251 conversions including 175 phone calls at $13.71 cost per conversion

Managed account — Jul 2026

A call-driven account, dialed in

Problem: Most of this business's real value happens on the phone — a click that never leads to a call isn't worth much.
Diagnosis: Some spend was drawing in clicks that browsed but never dialed.
Strategy: Push budget toward the ad groups and assets already generating qualified calls, not just clicks.
Execution: Ran and refined the account through the month.
Result: 251 conversions, including 175 phone calls, at $13.71 per conversion on $3.44K spent.

Google Ads overview for July 2026 showing 74 conversions and 4 phone calls at $16.75 cost per conversion

Managed account — Jul 2026

A smaller budget that still had to perform

Problem: A modest monthly budget meant every conversion had to justify itself — there was no room for waste.
Diagnosis: Only 4 of the conversions were phone calls; most of the value here was coming from on-site actions, not calls.
Strategy: Put spend behind the actions this account actually converts on, instead of chasing call volume it didn't need.
Execution: Managed the account through the month on a $1.24K budget.
Result: 74 conversions at $16.75 per conversion — efficient for the spend level.

Google Ads overview for July 2026 showing 194 conversions, 75 phone calls, and 44 submitted lead forms

Managed account — Jul 2026

Three conversion types, one clear picture

Problem: The business needed calls, form submissions, and total conversions tracked together, not just one signal.
Diagnosis: Judged on form submissions alone, the account looked slower than it actually was — calls were carrying real weight too.
Strategy: Track each conversion action separately, then report the full picture instead of one number.
Execution: Ran the account through the month with combined conversion tracking in place.
Result: 194 total conversions — 75 phone calls and 44 submitted lead forms among them — at $18.59 per conversion.

Technical edge

A technical edge behind the marketing.

A background in web development and technology helps me see problems beyond the ad platform itself — in the pages, tracking, and code they run on.

Frontend

HTML, CSS, Bootstrap, Tailwind CSS, JavaScript, React (basic)

Website

WordPress

Design

Canva

Programming

C, Java, Python

These skills support the landing pages, tracking implementations, and technical problem-solving behind the marketing — they're not the main service.

About

Bokhtear Uddin

I'm a Computer Science & Engineering graduate with a strong interest in digital marketing, paid advertising, conversion tracking, and web technologies.

My primary focus is helping businesses understand what's holding their marketing back, then building practical, measurable solutions around that specific problem.

My background in frontend development and WordPress gives me an additional technical perspective when working with landing pages, tracking, and the full conversion journey.

Now at NexusForge SolutionsWorking in digital marketing and content at a software company.

Contact

Know something isn't working? Let's find out why.

Tell me what's happening in your business. I'll start by understanding the problem.

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Your problem is where the work begins.

Let's find the bottleneck and build the right solution.

Let's solve your problem