AAM Analytics Pro, Rajshahi, Nawabganj (2026)

23/07/2026

About a year ago, I set up Google Ads conversion tracking for one of my clients

Everything had been working perfectly since then

Recently, the client reached out after noticing a "Needs Attention" warning inside Google Ads.

Their first thought was:
Has the conversion tracking stopped working?

Fortunately, that wasn't the case

The tracking was still recording purchase conversions correctly

The warning was actually related to Cost of Goods Sold (COGS).

Google Ads was receiving purchase events successfully, but some products in Google Merchant Center were missing COGS data.

That's why Google displayed the warning.

The good news?
This issue doesn't usually affect your conversion count or prevent conversions from being recorded.

However, it does reduce the quality of your profitability insights and gross profit reporting.

The fix was simple

We just needed to send the Cost of Goods Sold (COGS) value from the website's backend to Google Merchant Center as an additional product attribute

Once Google receives that data for all products, the warning is resolved

This is a great reminder that not every warning inside Google Ads means your tracking is broken

Sometimes your tracking works exactly as expected.

The platform is simply asking for better business data.

Understanding that difference can save a lot of unnecessary troubleshooting

14/07/2026

One of my clients thought their Google Ads campaigns weren't performing well

The problem wasn't the campaigns

It was the tracking

Conversions were missing, some events were duplicated, and the data inside Google Ads didn't match what was actually happening on the website.

As a result:
❌ Campaign optimization was based on incomplete data
❌ ROAS couldn't be trusted
❌ Budget decisions became guesswork

After implementing a proper tracking setup:
✅ GA4 and Google Ads started reporting consistent conversion data
✅ Every key event was validated through Google Tag Manager
✅ Attribution became much more reliable
✅ The ad algorithm finally received accurate conversion signals

The campaigns didn't change
The budget didn't change

The biggest improvement came from fixing the measurement system behind the campaigns

That's something many businesses overlook

Before trying new bidding strategies or increasing ad spend, make sure your tracking is accurate

Because Google Ads can only optimize based on the data it receives

And if the data is wrong, the optimization will be wrong too

12/07/2026

Google Tag Manager is much more than a place to add tracking codes

Many businesses install GTM, publish a few tags, and assume their tracking setup is complete

In reality, that's only the beginning.

A well-structured GTM implementation becomes the foundation of reliable analytics.

When implemented correctly, GTM helps you:--
✓ Control exactly when and where events fire
✓ Prevent duplicate event tracking
✓ Keep GA4, Google Ads, Meta Pixel, and other platforms aligned
✓ Build a clean and scalable tracking architecture
✓ Make debugging and future updates much easier

But when GTM is poorly organized, the opposite happens.

You may end up with:--
• Duplicate conversions
• Missing purchase or lead events
• Inconsistent data across platforms
• Broken attribution
• Reports you can't fully trust

The issue usually isn't GA4 or the advertising platforms

It's the tracking logic behind them

I've audited many GTM containers where the tags were firing, but the implementation wasn't reliable enough to support business decisions.

Good tracking isn't about adding more tags.

It's about having the right triggers, clean variables, proper event architecture, and a structured container that can grow with the business

Because at the end of the day...

Google Tag Manager isn't just a tag container

It's the foundation of accurate analytics, reliable reporting, and confident marketing decisions

11/07/2026

Every business sees this journey

Click → Visit → Lead → Customer

But here's the question...
How much of this journey is your marketing platform actually seeing?

For most businesses, the answer is surprisingly little.

Google Ads and Meta usually know when someone:
✓ Clicks an ad
✓ Visits a website
✓ Submits a form

After that...
Everything happens inside your business.

→ Phone calls
→ Sales conversations
→ Appointments
→ Quotes
→ Closed deals

Unfortunately, Google Ads and Meta don't automatically know about any of these.

As a result, the platforms continue optimizing for form submissions, not actual customers.

This is where Offline Conversion Tracking changes everything.

Instead of stopping at the lead, you continue the tracking journey.

Click
→ Website Visit
→ Lead Submission
→ Qualified Lead
→ Appointment Booked
→ Quote Sent
→ Customer Won

Now your ad platforms learn which leads actually generate revenue, not just which users fill out a form.

The result is more than better reporting.

It leads to:
✓ Better lead quality
✓ Smarter bidding algorithms
✓ Higher-quality conversions
✓ More accurate ROAS
✓ Better budget allocation

Many businesses try to improve performance by increasing their ad budget.

Sometimes, the biggest improvement comes from improving what the algorithm learns.

Because the platforms can only optimize for the data you give them.

And that's why Offline Conversion Tracking has become one of the most valuable implementations for lead generation businesses.

10/07/2026

Most Google Ads dashboards tell you how much you spent.

Very few tell you how much you actually made.

Recently, I built a custom reporting ecosystem for an eCommerce business that goes far beyond standard Google Ads or GA4 reports.

The goal wasn't just to report clicks, conversions, or ROAS.

The goal was to answer a much more important business question:
"Which campaign is actually making money?"

Here's how the system works:-----

✅ Step 1: Capture actual order data from the website

Every purchase sends order-level information to Google Sheets, including:

• Order ID
• Campaign Name
• Product Name
• Product ID
• Revenue
• Product Cost
• Gross Profit

The implementation also handles custom pricing logic such as Buy One Get One Free promotions by calculating the actual revenue, product cost, and gross profit before storing the data.

✅ Step 2: Import Google Ads campaign data automatically

Using a custom Google Ads Script, campaign performance is synced directly into another Google Sheet every day.

The script imports:
• Campaign Name
• Google Ads Account
• Cost
• Clicks
• Impressions
It also prevents duplicate records by using unique campaign/date keys.

✅ Step 3: Merge both datasets

A custom Apps Script combines:

Website Sales Data
+
Google Ads Campaign Data
into a master reporting table.

This creates a campaign-level dataset containing:
• Ad Spend
• Clicks
• Impressions
• Purchases
• Revenue
• Product Cost
• Gross Profit

✅ Step 4: Build the dashboard in Looker Studio

Instead of relying on Google's default metrics, the dashboard calculates business metrics that actually matter:

📊 Campaign-level Revenue

Ad Cost
Product Cost
Gross Profit
Net Profit
CPA
CPC
CTR
Conversion Rate
ROAS
Actual ROI
Average Order Value (AOV)

The dashboard also supports multiple Google Ads accounts, campaign-level filtering, and separates overall performance from converting campaign analysis.

02/07/2026

Facebook Offline Conversion Tracking for Instant Forms

One of the biggest challenges with Facebook Instant Forms is maintaining the original Lead ID throughout the customer journey.

In one of my recent setups, the lead was captured in Respond.io. However, when the lifecycle stage changed, Respond.io returned the Contact ID but not the original Facebook Lead ID.

Without the Lead ID, sending accurate offline conversion events back to Meta becomes difficult.

------------------------------------------------------------------

To solve this, I built a simple workflow---

✓ Capture the Facebook Lead ID when the lead is created
✓ Store the Facebook Lead ID and Respond.io Contact ID in Google Sheets
✓ Use Google Sheets as a lookup table to map the Contact ID back to the original Lead ID
✓ Send offline conversion events to Meta via the Conversion API when the lead reaches the desired stage

Sometimes, the hardest part of Offline Conversion Tracking isn't sending the conversion.

It maintains the connection between multiple systems so that every conversion is attributed to the correct lead.

That's what makes reporting more reliable and campaign optimization much more effective.

28/06/2026

A few days ago, a client asked me an interesting question.

We're getting plenty of leads from google ads, but only about 10-15% of them become customers. Why isn't google bringing us more qualified leads?

→ The answer wasn't the ad copy
→ It wasn't the landing page
→ And it wasn't the budget either

The real problem was that google ads only knew about leads, not customers.

Every lead was being treated as a successful conversion.
But from a business perspective, not every lead has the same value.

→ Some never answer the phone.
→ Some aren't qualified.
→ Some request a quote and disappear.

Only a small percentage actually become paying customers.

The question is-------
How can Google optimize for better customers if it doesn't know who became a customer?

That's where Offline Conversion Tracking comes in.

Instead of stopping at the lead form submission, Offline Conversion Tracking sends the final CRM outcome back to Google Ads.

For example:
✓ Qualified Lead
✓ Appointment Booked
✓ Proposal Sent
✓ Sale Closed

Now Google isn't optimizing for everyone who fills out a form.

It's learning from the people who actually generate revenue.

Over time, the algorithm starts finding more users who look like your best customers instead of simply finding people who are likely to submit a form.

The result?
• Higher quality leads
• Smarter bidding decisions
• Better ROAS
• More efficient ad spend

Many businesses think generating more leads is the solution.

Sometimes the real solution is teaching Google which leads actually matter.

That's the power of Offline Conversion Tracking

25/06/2026

Before vs After: Why a Proper Analytics Setup Changes Everything for eCommerce Brands

Many eCommerce businesses believe their tracking is working simply because data appears in GA4 or on their ad platforms.

But collecting data doesn't mean you're collecting the right data.

I've audited stores where everything looked fine on the surface, yet the numbers told a different story.

Before
• GA4 revenue doesn't match Shopify or WooCommerce revenue
• Meta Pixel is missing key conversion events
• Add to Cart, Begin Checkout, or Purchase events are firing incorrectly
• Duplicate or missing conversions distort campaign performance
• ROAS looks inconsistent across platforms
• Marketing decisions are based on incomplete or misleading data
At this point, optimization becomes guesswork instead of strategy.

After
• GA4 eCommerce tracking is fully configured and validated
• Google Tag Manager manages clean and structured event tracking
• Meta Pixel and Conversion API work together for better attribution
• Purchase, funnel, and revenue data become accurate and consistent
• Ad platforms receive reliable conversion signals for optimization
• Decisions are backed by data you can actually trust

The tools didn't change.

The tracking implementation did.

That's the difference between collecting data and collecting trustworthy data.

A proper analytics setup isn't just another technical task on the checklist.

It's the foundation that supports accurate reporting, better optimization, and confident business decisions.

Because when your measurement is accurate, your marketing becomes much easier to improve.

If your GA4, GTM, Meta Pixel, or Conversion API hasn't been audited recently, there's a good chance you're making decisions based on incomplete data.

Sometimes, fixing the tracking creates a bigger impact than increasing the ad budget.

23/06/2026

I believe analytics should answer questions, not create confusion.

Yet many businesses invest heavily in advertising, CRM systems, and marketing tools while overlooking the one thing that makes all of those investments meaningful:
Accurate measurement.

I've seen companies struggle to answer seemingly simple questions:
• Which campaigns are actually generating revenue?
• Which channels deserve more budget?
• Where are leads dropping off in the funnel?
• What is the true cost of acquiring a customer?
• Which marketing efforts are driving real business outcomes?

The problem is rarely a lack of data.

In most cases, there is already plenty of data being collected.

The real problem is that the data cannot be trusted.

Missing events, duplicate conversions, broken attribution, disconnected platforms, and inconsistent tracking create uncertainty where there should be clarity.

When tracking is implemented correctly:
✓ Performance becomes measurable
✓ Attribution becomes reliable
✓ Decisions become clearer
✓ Optimization becomes data-driven
✓ Growth becomes more predictable

Good analytics is not just about installing GA4, setting up a pixel, or sending events.

It's about building a measurement framework that accurately reflects how a business acquires, nurtures, and converts customers.

That is why I focus entirely on analytics and conversion tracking.

Because before you can optimize marketing, improve ROAS, or scale campaigns, you need one thing first:

Data you can trust.

And when the data is trustworthy, better decisions follow naturally.

22/06/2026

Recently, I worked on an interesting Facebook Offline Conversion Tracking setup for Facebook Instant Forms. 🙂

The most challenging part of this project was maintaining the Facebook Lead ID throughout the customer journey. 😒

Normally, when a lead is generated through a Facebook Instant Form, Meta provides a unique Lead ID. However, once the lead is sent to Respond.io and later moves through different lifecycle stages, the Respond.io trigger provides the Contact ID but not the original Facebook Lead ID.

I believe this is currently a limitation of Respond.io.

As a result, sending offline conversions back to Meta becomes challenging because the original lead identifier is missing, which can break attribution.
To solve this, I first used a Facebook Lead Ads trigger to capture the Facebook Lead ID. Then, I added a Google Sheets step to store both the Facebook Lead ID and the Respond.io Contact ID.

Essentially, Google Sheets acted as a mapping database between Facebook and Respond.io.

The second Zap was dedicated to Facebook Offline Conversion Tracking.
When the workflow is triggered from Respond.io, the Contact ID is available, but the Facebook Lead ID is not.

To overcome this, the workflow first performs a Google Sheets lookup using the Contact ID to retrieve the corresponding Facebook Lead ID.

After that, lifecycle stage filters are applied based on the business logic.
Finally, the original Facebook Lead ID is used to send offline conversion events back to Meta through the Conversion API.

Without this mapping system, it would not be possible to match later-stage conversions back to the original Facebook lead.

This would lead to inaccurate reporting and could result in optimization decisions being made using incomplete data.

Many people think the hardest part of conversion tracking is sending events.
In reality, the biggest challenge is maintaining identifiers across multiple platforms so that the entire customer journey can be accurately attributed from lead to final conversion.

These types of automation workflows help ensure accurate attribution, reliable reporting, and better campaign optimization.

AAM Analytics Pro

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