A conversion pixel placed on a thank-you page may count repeated page loads rather than unique people. This creates a discrepancy even when the landing-page and CRM setup is otherwise functioning as intended.

Pixels often fire when the thank-you page loads
One person can load the page more than once
Pixel events are not automatically equivalent to unique registrants
Reported conversions should be reconciled with CRM records

“if it loads a couple of times, that's the pixel is going to count that.”
Rick Mulready · 31:23

“So that will cause a discrepancy, even though it's one person there”
Rick Mulready · 31:39

#facebook pixel#conversion tracking#thank-you page#data quality

Hot Take· 1

Hot Take18:59

Strict Attribution Can Undervalue an Ad That Influenced an Organic Action

A person may see an advertisement, remember the message, and later register through an organic Instagram link. Strict click tracking assigns no value to the advertisement, while view-through reporting may overclaim it; the team must recognize influence without confusing it with direct response.

Ad exposure can influence later off-platform action
Strict click reporting emphasizes direct response
View-through reporting captures influence but can overstate ownership
Awareness activity may not show a clear immediate ROI

“there's value right in, someone's seeing the ad and then taking an action off of the platform in which they saw it”
Rick Mulready · 19:03

“But I personally do like the quote unquote stricter thing.”
Rick Mulready · 20:18

#brand awareness#attribution#organic marketing#paid media

Explainer· 3

Explainer09:43

Why Facebook Claims Credit for the Last Touch

Rick explains that advertising platforms generally attribute a conversion to the final measurable interaction before purchase. A customer may have discovered a business through an earlier organic channel, but Facebook can still claim the sale when a Facebook or Instagram ad is the last tracked touch.

Last-touch reporting favors the final measurable channel
Earlier awareness may have contributed substantially
Platform attribution does not reconstruct the full customer journey
Offline advertising has the same attribution problem

“It's, you know, it's the, it's the last touch.”
Rick Mulready · 10:34

“When in reality, did it really come from Google or did it come from that initial viewing the billboard that you saw to kind of…”
Rick Mulready · 11:00

#attribution#facebook ads#last touch#analytics

Explainer11:15

View-Through vs. Click Attribution in Facebook Ads

Facebook can credit conversions after either an ad view or an ad click, which can make reported results look larger than strict landing-page tracking. Rick prefers click attribution because it answers the narrower question of who clicked the paid ad and subsequently acted.

View attribution can credit an ad without a direct click
Click attribution provides a stricter causal signal
Facebook Ads Manager allows customized attribution windows
The default settings may include both view and click credit

“Now, the way that Facebook does it with attribution, they look at it as a view attribution and a click attribution”
Rick Mulready · 11:15

“I like to keep it at 28 day click that way.”
Rick Mulready · 13:12

#attribution window#view-through#click-through#facebook ads

Explainer25:45

Why Some Purchases Cannot Be Matched to Their Original Lead Source

The team found that 23% of sales lacked a clear acquisition source. Rick identified broken integrations, different signup and purchase email addresses, cleared cookies, and system-to-system mismatches as plausible causes, while noting that 23% seemed unusually high.

CRM and payment systems may fail to reconcile identities
A buyer can use different email addresses at signup and checkout
Cleared cookies can break pixel-based tracking
Every tool may blame another system for the missing data
A 23% unattributed share merits investigation

“my hypothesis is, based on what we've seen is that there's a breakdown between systems talking to one another”
Rick Mulready · 27:10

“they signed up originally with one email address and then they buy with another email address and you're like, then, like the systems, the systems…”
Rick Mulready · 28:03

#unattributed sales#cookies#crm#identity matching

Story· 1

Story43:59

The Record Launch Came From Volume, Not a Conversion Breakthrough

Social Curator's largest launch converted at roughly its normal rate but attracted about 35,000 registrants. Low lead costs, increased online attention during COVID restrictions, stronger attendance, and sustained spending created unusually favorable scale.

The conversion rate remained close to normal
Approximately 35,000 people registered
More than 10,000 webinar registrations exceeded Zoom's available capacity
COVID-era demand increased interest in home-based business
The team kept spending while acquisition costs remained favorable

“It was just a numbers game for us.”
Jasmine Star · 44:03

“As when you said like our conversion rate was roughly the same. We just brought more people in.”
Rick Mulready · 45:13

#launch results#scale#covid#webinars#lead volume

Tool· 1

Tool30:19

A Practical Landing-Page and Tagging Setup for Launch Attribution

Jade describes assigning each promotional source its own landing page and vanity URL. An Infusionsoft integration then tags registrants by source and webinar time, allowing the team to compare registrations with subsequent purchases.

Give each acquisition source a dedicated landing page
Use distinct vanity URLs for promotional channels
Apply source tags through the email marketing integration
Match source tags against purchase records
Cross-check totals with the webinar platform

“they each get their own landing page and they each get their own vanity URL for that landing page.”
Jade Hall · 30:20

“If they register say they're coming from Facebook ads, they get a Facebook ads tag.”
Jade Hall · 30:46

#tracking setup#landing pages#infusionsoft#source tags

Takeaway· 1

Takeaway14:30

When an Analytics Discrepancy Becomes Too Large to Ignore

Different analytics, advertising, and CRM systems will rarely agree perfectly. Rick recommends accepting reasonably close figures while investigating unusually large differences, especially when attribution settings or view-through credit could explain the gap.

Some cross-platform discrepancy is normal
Google Analytics, Facebook, and a CRM can show different totals
Large gaps warrant technical troubleshooting
Attribution-window settings are an early place to investigate

“also understanding too, that there's always going to be a discrepancy between, between numbers always.”
Rick Mulready · 14:30

“But if there's a huge discrepancy, then we start looking at trying to troubleshoot like, Oh, what's going on there?”
Rick Mulready · 15:17

#analytics#discrepancy#troubleshooting#measurement

Frameworks in this episode

Layered Video Retargeting Strategy

Lead Economics Launch Decision Rule

Seven-Touch Customer Journey

Insights & moments

⚡Myth Buster· 1

One Registrant Can Trigger Multiple Pixel Conversions

◆Hot Take· 1