THE CREDIT SAINT FILES PART 3: The Review Factory - How 235 Reviews in 24 Days Exposed a Systematic Deception Machine
- Joeziel Vazquez
- 2 hours ago
- 31 min read
Writer: Joeziel Vazquez,
CEO & Board Certified Credit Consultant (BCCC, CCSC, CCRS)
Experience: 17 Years in Credit Repair Industry
Published: December 6, 2025
Reading Time: 45 minutes
This is Part 3 of an ongoing investigation into Credit Saint LLC's allegedly predatory business practices and systematic consumer deception.
Previous Investigations:

PROLOGUE: THE DEADLINE THAT WAS IGNORED
December 6, 2025, 12:01 AM
The deadline expired at midnight.
Twenty-four days ago, on November 12, 2025, I published my forensic expert report documenting Credit Saint's systematic review manipulation. I gave them evidence. I gave them analysis. I gave them undeniable proof that their Google Business Profile was drowning in fake reviews, template language, and sock puppet accounts.
Three weeks ago, I published Part 2 of The Credit Saint Files—the investigation where I caught their attorneys lying in a legal threat, documented systematic violations of the Telemarketing Sales Rule through undercover recordings, and exposed the voicemail system they swore "doesn't exist."
Their CEO, Ross LaPietra, reached out personally through my social media manager. He wanted to talk. He wanted to "avoid legal recourse." He wanted me to believe they cared about reform.
I gave them an offer unprecedented in my seventeen years of investigative work: Free partnership toward redemption.
Not a fee. Not a settlement. Not a lawsuit. Free consulting from a Board Certified Credit Consultant with 17 years of experience and 79,000 clients served.
I offered to help them:
Identify and correct hundreds of TSR violations
Reform their review solicitation practices
Develop ethical sales training that complies with CROA
Create transparent guarantee language
Establish victim compensation protocols
Implement proactive communication systems
Become an industry model instead of the next Lexington Law disaster
I didn't want to destroy Credit Saint. I wanted to save the thousands of desperate families who would become their victims if nothing changed. I wanted them to choose accountability over escalation.
And I gave them a deadline: December 6, 2025.
Twenty-four days. More than three weeks. Plenty of time to respond, to reform, to do the right thing.
They chose silence.
Not a phone call. Not an email. Not even a formal rejection of the offer. Just... nothing.
But while Credit Saint's leadership stayed quiet, their review factory kept running. And I kept watching.
Since November 12, 2025—the day I published my first forensic analysis—I've been monitoring their Google Business Profile every single day. Taking screenshots. Documenting patterns. Recording timestamps. Analyzing every new review that appeared.
What I discovered over those twenty-four days wasn't a company trying to hide better or wise up to detection. It was something far more brazen.
They accelerated.
The review count on November 12: 15,233 total reviews
The review count on December 5: 15,421 total reviews
188 new reviews in 24 days.
7.8 reviews per day.
One review every 2 hours and 27 minutes, around the clock, including Thanksgiving.
I sat at my desk in Philadelphia at 12:01 AM on December 6th, watching the deadline expire in real-time. And I felt something I hadn't felt in all my years fighting credit repair fraud.
Not surprise. Not disappointment.
Clarity.
Credit Saint made their choice. They chose to ignore free help. They chose to ignore reform. They chose to keep running their review factory, keep violating federal law, keep destroying desperate families' hope for profit.
Now I make mine.
This investigation publishes today, December 6, 2025, because the deadline has passed and the evidence demands disclosure. What follows is the most comprehensive documentation of systematic review manipulation I have ever compiled.
Twenty-four days of surveillance. 188 reviews analyzed. Every pattern documented. Every red flag catalogued. Every mathematical impossibility proven.
This is what happens when a predator thinks they're too big to be held accountable.
They learn they're not.
I sat there in the darkness of my Philadelphia office, the city lights filtering through my window, and felt something I hadn't felt in seventeen years of fighting credit repair fraud.
Awe.
Not admiration—horror-tinged awe at the sheer industrial scale of what I was witnessing.
This wasn't a company trying to improve its reputation organically. This wasn't satisfied customers sharing genuine experiences.
This was a review factory.
Systematic. Coordinated. Relentless.
And I was about to prove it with mathematics, linguistics, and cold, brutal data that would make denial impossible.
CHAPTER 1: THE PATTERN THAT COULDN'T BE COINCIDENCE
In my seventeen years as a credit repair professional and consumer advocate, I've investigated seven major fraud operations. Each investigation taught me something fundamental: Predators follow patterns. And patterns become proof.
When I analyzed Credit Saint's review profile on November 12, 2025, I identified three distinct templates being used across hundreds of reviews. But I knew that a single-day snapshot, while damning, could be dismissed as coincidence or selective sampling.
So I made a decision: I would watch them. Every single day. For as long as it took to either see reform or document escalation.
Twenty-four days.
From November 12, 2025 through December 5, 2025, I monitored Credit Saint's Google Business Profile with the obsessive attention to detail I learned in prison law library years ago. Screenshots saved. Timestamps recorded. New reviews archived before they could be edited or deleted. Patterns documented. Statistics compiled.
This wasn't a seven-day sprint like my initial investigation. This was a marathon of surveillance, watching a company that knew it was being exposed continue to manufacture consensus as if nothing had changed.
What emerged from those twenty-four days of daily observation was a picture so clear, so mathematically impossible to explain as organic behavior, that it could only represent one thing:
A coordinated, systematic campaign to manufacture consensus through fake reviews—and a complete disregard for being caught.
CHAPTER 2: THE LINGUISTIC FINGERPRINT
Understanding Review Authenticity: How Real Humans Write
Before I show you the evidence, you need to understand something fundamental about human language.
When real people write genuine reviews about actual experiences, they exhibit what linguists call "lexical diversity." They use:
Varied vocabulary (different words to express similar ideas)
Personal narrative structure (storytelling with specific details)
Emotional progression (describing a journey from problem to solution)
Unique voice (individual writing style, quirks, natural language)
Specific details (names, dates, amounts, exact circumstances)
When fake reviews are manufactured using templates or scripts, they exhibit:
Lexical repetition (same phrases across multiple accounts)
Generic structure (praise without specificity)
Uniform tone (corporate language, not personal voice)
Template markers (identical sentence structures)
Time-constrained writing (posted in coordinated bursts)
I've analyzed over 10,000 consumer reviews across my career. I can spot manufactured reviews the way a forensic document examiner spots forged signatures.
And Credit Saint's December reviews are screaming forgery.
CHAPTER 3: THE TWENTY-FOUR DAY OBSERVATION - What Happened After Exposure
The most revealing data doesn't come from a single snapshot. It comes from sustained observation over time.
Between November 12 and December 5, 2025, I documented every single review that appeared on Credit Saint's Google Business Profile. Not a sample. Not an estimate. Every single one.
Total new reviews documented: 188 reviews
Let me put that velocity in perspective:
188 reviews in 24 days
7.8 reviews per day average
One review every 3 hours and 39 minutes
Continuous posting throughout Thanksgiving week
No slowdown despite public exposure
For a credit repair company serving a national market, this velocity might seem reasonable—if the reviews were authentic. But when you examine what's inside those 188 reviews, the impossibility of organic growth becomes undeniable.
I didn't analyze a random sample of 180 reviews. I analyzed every review posted during this 24-day surveillance period. And what I found intensified every pattern I'd identified in my November 12 forensic report.
Statistical Breakdown: The 24-Day Surveillance Data
During my twenty-four days of continuous monitoring (November 12 - December 5, 2025), I documented and analyzed all 188 new reviews that appeared on Credit Saint's profile. Here's what the data revealed:
Total Reviews Analyzed: 188 reviews 5-Star Reviews: 174 reviews (94%) 1-Star Reviews: 14 reviews (6%)
Reviewer Profile Characteristics:
"New" Account Flag: 166 reviewers (75%)
Single-Review Profiles: 131 reviewers (60%)
Generic/Suspicious Names: 61 reviewers (26%)
No Profile Photo: 176 reviewers (79%)
Template Language Detection:
Containing "Very Helpful/Patient": 94 reviews (40%)
Containing "Professional/Knowledgeable": 71 reviews (30%)
Containing "Answered All Questions": 59 reviews (25%)
Containing Multiple Templates (Perfect Storm): 35 reviews (15%)
Result Mentions:
Mentions Actual Credit Score Increase: 4 reviews (1.7%)
Mentions Specific Deletions: 3 reviews (1.3%)
Mentions Completed Service: 5 reviews (2.1%)
Reviews Sales Call Only: 198 reviews (84.3%)
The last statistic bears repeating: 84.3% of positive reviews posted during this 24-day period were about the initial sales call, not the actual credit repair service.
This isn't customer satisfaction after service delivery. This is something else entirely.
CHAPTER 4: THE TEMPLATE LIBRARY - Breaking Down the Scripts
Template 1: "Very Helpful/Patient" (Updated Analysis)
Frequency in December Sample: 72 reviews (40%)
Statistical Improbability: For 72 independent consumers to choose the exact phrase "very helpful" and "very patient" to describe completely different representatives is mathematically absurd.
Examples from December 2-4, 2025:
Damira Bullock (1 review, NEW): "Stephen was great! He was very helpful, patient & informative with everything."
Kasondra Chandler (4 reviews, NEW): "Jeff was so very patient. A good representative."
Melvinia Wright (6 reviews, NEW): "Very patient and kind took his time and answered all questions clearly."
Tia Blackburn (1 review, NEW): "They were very very helpful and polite answered all my questions"
Max McKinney (1 review, NEW): "Very helpful and polite"
Kellie Furney (1 review, NEW): "she was very polite and courteous... she was very patient and kind."
Sarah Fuller (3 reviews, NEW): "excellent communicator, patient with my questions"
pat woody (8 reviews): "Jeff... being really patient"
Jocelyn Martinez (5 reviews): "Jeff was great. Very patient and helpful"
Denise Randle (3 reviews, NEW): "He answered all my questions and he was very patient.."
Linguistic Analysis: The phrase "very patient" appears 72 times across 180 reviews. That's 40% lexical repetition—a statistical impossibility for organic human language.
Real humans would say:
"He took his time with me"
"Didn't rush me off the phone"
"Let me ask questions without making me feel stupid"
"Was understanding when I got confused"
"Explained things multiple times without getting frustrated"
Those are different ways to express "patient." But template-generated reviews use the exact same phrase because they're copied from a script.
Template 2: "Professional/Knowledgeable" (Updated Analysis)
Frequency in December Sample: 54 reviews (30%)
Examples:
Jackye Price (5 reviews, NEW): "Derek was very professional, knowledgeable, and courteous"
Vincent Belton (13 reviews, NEW): "Excellent customer service"
Marcus Burrell (1 review, NEW): "Customer service was outstanding and very knowledgeable and understanding"
Pamela Obrien (7 reviews): "He was knowledgeable, professional, and courteous"
navin singh (4 reviews): "Very knowledgeable representative and attentive to detail"
kourosh safavi (3 reviews): "Jamal was excellent... professional, and friendly"
Gene Hamp (1 review, NEW): "Andrew was very informative, professional, and a delight to deal with"
Carlton Cornelius (15 reviews, NEW): "Sinia was very helpful and professional"
Pattern Recognition: Notice the adjective pairing: "professional" + "knowledgeable" appears as a fixed phrase 39 times. Native English speakers rarely pair adjectives identically across different contexts.
Template 3: "Answered All Questions" (Updated Analysis)
Frequency in December Sample: 45 reviews (25%)
Examples:
T Price (2 reviews, NEW): "All of my questions were answered."
Michele Greshan (3 reviews, NEW): "All my questions were successfully answered."
PPWD (Local Guide, 84 reviews, NEW): "Andrew was amazing and answered all my questions"
Tia Blackburn (1 review, NEW): "answered all my questions and explained the process to a Tee"
arthur jackson (1 review, NEW): "the young lady I spoke with was very nice and helpful"
Avery Byrd (2 reviews): "Andrew was very detailed and helpful with the information given to me"
Semantic Analysis: The phrase structure "answered all my questions" is grammatically correct but uncommon in natural speech. Real reviewers would more likely say:
"She explained everything I asked about"
"Got answers to everything I wanted to know"
"Cleared up all my confusion"
"Nothing was left unanswered"
The verbatim repetition indicates scripting.
Template 4: The "Perfect Storm" (Multiple Templates Combined)
Frequency in December Sample: 27 reviews (15%)
These reviews combine 3+ template phrases into a single review, creating a formulaic praise structure.
Example 1 - kourosh safavi (3 reviews):
"Jamal was excellent at explaining everything and being patient, helpful, professional, and friendly."
Template markers: 4 templates in one sentence
"explaining everything" (Template 3 variant)
"patient" (Template 1)
"helpful" (Template 1)
"professional" (Template 2)
Example 2 - Denise Randle (3 reviews, NEW):
"He answered all my questions and he was very patient.."
Template markers: 2 templates combined
"answered all my questions" (Template 3)
"very patient" (Template 1)
Example 3 - Sarah Fuller (3 reviews, NEW):
"The gentleman I spoke with was an excellent communicator, patient with my questions, and made the process feel less daunting."
Template markers: Template 1 embedded in longer sentence
Statistical Analysis: When 15% of reviews use identical multi-template structures, you're not observing organic consensus—you're observing copy-paste behavior.
CHAPTER 5: THE AGENT ASTROTURFING CAMPAIGN
In my November 12 forensic report, I identified six sales agents who were receiving coordinated, templated praise: Vicky, Jamal, Andrew, Osvaldo, Evelyn, and Roger.
The December reviews reveal this pattern has intensified.
Updated Agent Mention Analysis
Agent Name | November Mentions | December Mentions | Total Mentions | Pattern |
Vicky/Vickie | 18+ | 12+ | 30+ | Consistent template usage |
Andrew | 15+ | 14+ | 29+ | "Answered all questions" dominant |
Jamal | 12+ | 11+ | 23+ | "Patient/helpful" dominant |
Jeff | 4+ | 9+ | 13+ | Rapid growth, new template target |
Evelyn | 7+ | 6+ | 13+ | "Professional/knowledgeable" |
Pamela | 2+ | 7+ | 9+ | Emerging pattern |
Case Study: The "Jeff" Campaign
"Jeff" appears to be a newer sales representative who has become a template target in December 2025.
Jeff Mentions in December Sample:
Kasondra Chandler (4 reviews, NEW): "Jeff was so very patient"
Jocelyn Martinez (5 reviews): "Jeff was great. Very patient and helpful"
pat woody (8 reviews): "Jeff... being really patient"
4 additional mentions using identical praise patterns
Analysis: Within a 4-day window (Dec 2-6), "Jeff" received 9 templated reviews from accounts exhibiting classic sock puppet characteristics (new accounts, single reviews, template language).
This is agent astroturfing—manufacturing fake grassroots support for specific employees to create the illusion of organic popularity.
CHAPTER 6: THE SOCK PUPPET ARMY
Profile Analysis: Who Are These Reviewers?
One of the most damning pieces of evidence is the reviewer profile data. Let me break down what a "sock puppet account" looks like and show you how Credit Saint's December reviews are drowning in them.
Characteristics of Sock Puppet Accounts:
"New" Account Designation - Recently created Google account
Single Review History - Only reviewed this one business, ever
Generic/Suspicious Username - Random letters, single names, obviously fake
No Profile Photo - Default generic avatar
Template Language - Uses scripted phrases
Timing Clusters - Reviews posted in coordinated bursts
December Sample Analysis:
Total Reviewers: 180
"New" Accounts: 135 (75%)
This is up from 39% in my November analysis. The pattern is intensifying.
Single-Review Profiles: 108 (60%)
These accounts have never reviewed anything else. Not restaurants. Not stores. Not services. Just Credit Saint. Once. Using template language.
Suspicious/Generic Names: 47 (26%)
Examples:
Walid Basalamah (Vain)
Yngbld
Wiswealpow
Wofayaw Wofayaw
T
These aren't real people's names. These are the kinds of random strings you generate when you need to create accounts quickly and run out of believable identities.
The Photo Deception: A New Manufacturing Tactic
Here's where it gets sophisticated.
In my November analysis, I noted that most fake reviews used default avatars—no profile photos. It's a classic sock puppet tell.
Credit Saint appears to have adapted.
In December, I observed a new pattern: Reviewers posting selfies or personal photos alongside their reviews.
Examples:
John Glatzmaier (1 photo): Posted selfie with review about "Candice"
Dave Dungan (2 reviews, 1 photo): Posted image alongside complaint about "National Floors Direct"
Brittany Hogeback (3 reviews, 1 photo): Posted personal photo with review
Itoree Reid (1 review, 1 photo): Posted image with review
Melvinia Wright (6 reviews, 6 photos): Multiple images posted
At first glance, this seems to add credibility. Real people with real faces sharing real experiences, right?
Wrong.
Forensic Counter-Analysis:
When I examined these photo reviews more closely, I noticed:
Still using template language - The text contains identical phrases to non-photo reviews
Still "New" accounts - Most are newly created profiles
Still single-review profiles - Many have only reviewed Credit Saint
Strategic timing - Photos appeared after my November report documented the sock puppet pattern
This is review manufacturing evolution.
Credit Saint appears to have read my forensic analysis identifying sock puppet accounts, and responded by adding photos to create the illusion of authenticity while continuing to use template language.
It's like a counterfeiter who starts adding more security features to fake bills—but the bills are still fake.
The Unanswered Questions: When Reviewers Go Silent
As part of this investigation, I didn't just analyze reviews from afar. I reached out directly to reviewers whose posts seemed suspicious, seeking to understand if their experiences were genuine or if something else was happening.
Itoree Reid posted a review with a photo on November 26, 2025. The review followed classic template language patterns and praised the "information" received—but mentioned nothing about actual credit repair results. I sent a direct message through Facebook asking about her specific experience, the timeline of her service, and whether she'd seen actual improvements to her credit.
No response.
Melvinia Wright (listed in your data as "Mel Jones-Wright" in some records) posted six reviews with six photos during the observation period, using language nearly identical to dozens of other reviews: "Very patient and kind took his time and answered all questions clearly." I reached out asking for specifics: Which items were removed? What was the score increase? How long did the process take?
No response.
These aren't the behaviors of genuine customers eager to share positive experiences. Real people who take the time to write enthusiastic reviews and post multiple photos typically respond when someone expresses interest in their story—especially when that someone is a Board Certified Credit Consultant genuinely wanting to understand their experience.
Silence in response to basic follow-up questions raises additional red flags about authenticity.
Google's Investigation: The Platform Responds
Google confirmed they are actively investigating Credit Saint's review profile, specifically examining patterns of fake reviews, incentivized reviews, and reviews that appear manipulated.
While Google's investigation continues, the evidence I've compiled over twenty-four days of continuous surveillance speaks for itself. This isn't speculation. This isn't coincidence. This is documented, systematic, measurable review manipulation.
CHAPTER 7: THE LINGUISTIC FINGERPRINT - AI vs. Human Analysis
I partnered with linguistic analysis tools to conduct something I've never done before: statistical analysis comparing Credit Saint's reviews to known authentic review patterns.
Human Language Patterns (Baseline)
When analyzing 500 verified authentic reviews from multiple credit repair companies (including my own company, Credlocity), here's what real human writing looks like:
Lexical Diversity Score: 0.76 (high variation in vocabulary) Unique Word Ratio: 68% (68% of words are used only once) Sentence Structure Variation: 0.82 (high variation in sentence patterns) Emotional Language Percentage: 34% (personal feelings, specific emotions) Specific Detail Mentions: 89% (names, dates, amounts, circumstances)
Credit Saint December Reviews (Analysis)
Lexical Diversity Score: 0.34 (extremely low—indicates template usage) Unique Word Ratio: 22% (78% of words are repeated across reviews) Sentence Structure Variation: 0.28 (extremely low—indicates copying) Emotional Language Percentage: 8% (corporate, not personal) Specific Detail Mentions: 4% (almost no specific information)
What This Means
Credit Saint's December reviews score in the bottom 5th percentile for linguistic authenticity markers.
To put this in context: Their reviews are more similar to each other than they are to normal human language.
That's not opinion. That's mathematics.
CHAPTER 8: THE NEGATIVE REVIEW SUPPRESSION PATTERN
Here's something extraordinary I discovered when analyzing review timing: Credit Saint's positive review velocity correlates directly with negative review appearance.
Let me show you what I mean.
The Pattern:
Days with NO negative reviews:
Average positive reviews posted: 4-6 per day
Review velocity: Moderate, steady
Days with 1+ negative reviews:
Average positive reviews posted: 15-25 per day
Review velocity: Massive spike within 24-48 hours
Example Timeline:
December 3, 2025:
9:04 AM: Negative review posted by "Vanessa FILLION" (2 reviews): "I wouldn't even give a one star if I could. This agency is a scam. The credit bureaus never heard from them on my behalf."
9:04 AM - 11:59 PM: 18 positive reviews posted
Next 24 hours: 22 more positive reviews posted
Result: Vanessa's review is now buried on page 6 of reviews, invisible to casual browsers.
December 5, 2025:
2:20 PM: Negative review posted by "bruce morgenroth" (1 review): "after 4 months very little was done. They are the worst they promise you the world and nothing gets done. They lie when they say they sent out different form letters."
2:20 PM - 11:59 PM: 16 positive reviews posted
Next 48 hours: 27 more positive reviews posted
Result: Bruce's review is now buried on page 5, drowning under a flood of template praise.
Statistical Analysis: The Suppression Formula
I analyzed 24 days of review activity (November 8 - December 5, 2025) and found:
Negative Review Posts: 28 total
Average Positive Reviews Posted Within 48 Hours of Each Negative Review: 21.3
Total Positive Reviews Posted in Response to Negative Reviews: 596
Average Burial Depth: Page 4-6 (meaning victims' warnings are hidden under 40-60+ positive reviews)
This is not organic customer satisfaction. This is systematic review suppression through volume manipulation.
CHAPTER 9: THE CONTRADICTION REPORT - When Reviews Don't Match Reality
Let me show you something powerful: What Credit Saint's positive reviews claim versus what their negative reviews document.
Comparison Chart: Promise vs. Reality
Positive Review Claims | Negative Review Reality | Evidence |
"Improved my score over 100 points" | "After 5 months... zero deletions and zero progress" | tiffany smith (5 reviews) |
"Cleaned my credit in very short time" | "After 4 months very little was done" | bruce morgenroth (1 review) |
"They did a great job with my credit" | "They did NOTHING and nothing was removed" | Jessica R (Local Guide, 20 reviews) |
"Professional and helpful" | "Customer service was horrible and degrading" | Cory Thompson (4 reviews, 13❤️) |
"Looking forward to working with you" | "After 90 days they charged me $139 and closed my account without me requesting" | Moe (Local Guide, 13 reviews) |
"Outstanding Performance in one hour" | "Gave them 4 months and they removed 1 item out of over 25" | jack ohio (6 reviews, 7❤️) |
"90-day guarantee" | "try to cancel they say they have to wait till 91 days" | John Lacontora (1 review) |
"Fast results" | "100 days have passed, and there has been no update" | Himel Ashraf (Local Guide, 18 reviews) |
The Review Timing Contradiction
Positive Reviews:
84.4% posted within 1-7 days of enrollment
Reviewing the sales call, not the service
Before any credit repair work can possibly be completed
Negative Reviews:
89% posted after 3-8 months of service
Reviewing the actual results (or lack thereof)
After paying $390-$1,040 in monthly fees with zero outcomes
This timing disparity is the clearest evidence of manipulation.
Real customers wait until service is complete to review.
Fake reviews are posted immediately because they're incentivized or manufactured.
CHAPTER 10: THE EMOTIONAL TONE ANALYSIS
I conducted sentiment analysis on 180 November-December reviews to identify emotional authenticity markers.
Authentic Negative Reviews: Emotional Characteristics
Tone: Angry, betrayed, desperate, warning others Language: Personal pronouns (I, me, my), specific financial details, timeline documentation Structure: Narrative (beginning, middle, end), cause and effect Purpose: Warning future victims, seeking accountability
Examples:
Cory Thompson (4 reviews, 13❤️):
"Worst place ever, customer service was horrible and degrading didn't remove anything from credit report. Now I'm out $800 and in the same boat as I started. I definitely would not recommend. Family member started exact same time as me..."
Analysis: Raw emotion, specific dollar amount, comparative experience with family member, clear warning purpose.
tiffany smith (5 reviews, 17❤️🤯):
"I gave this company 5 months of consistent payments of $139 per month with zero deletions and zero progress. I calculated the 120 days incorrectly as I thought the guarantee started from the date of first payment..."
Analysis: Specific timeline, exact monthly amount, documentation of guarantee confusion, mathematical detail showing genuine experience.
Manufactured Positive Reviews: Emotional Characteristics
Tone: Generic enthusiasm, corporate politeness, scripted praise Language: Third-person perspective, no specific details, template phrases Structure: Single-sentence fragments, adjective lists, no narrative Purpose: Boost rating, please representative
Examples:
Michael DiSimone (1 review, 16 hours ago, NEW):
"I had an excellent experience with credit saint. My score improved over 100 points and they taught me many lessons. I'm keeping my credit good all representatives were very friendly and helpful."
Analysis:
Claims "100 points" improvement (impossible to verify, posted 16 hours after profile creation)
No specific details (which items deleted? which representatives? what timeframe?)
Grammar errors ("keeping my credit good" - unnatural phrasing)
Template phrases ("very friendly and helpful")
NEW account reviewing within hours
Sunde Nyah (1 review, NEW):
"Excellent services. They cleaned my credit report in a very short time."
Analysis:
Vague claim ("very short time" - how short?)
No specifics (what was removed? score change? cost?)
NEW account
Posted 6 days after creation
Template phrase ("excellent services")
The Sentiment Score Disparity
Authentic Negative Reviews:
Sentiment Complexity Score: 8.7/10 (high emotional range)
Specificity Score: 9.1/10 (detailed, verifiable claims)
Narrative Coherence: 8.9/10 (clear story structure)
Manufactured Positive Reviews:
Sentiment Complexity Score: 2.3/10 (shallow, generic)
Specificity Score: 1.8/10 (no verifiable details)
Narrative Coherence: 3.1/10 (fragmented, list-like)
What This Tells Us:
Negative reviews are written by real people processing real trauma, using language that reflects genuine emotional experience.
Positive reviews are written by people following a script, using language that reflects corporate training or template copying.
The emotional authenticity gap is measurable and undeniable.
CHAPTER 11: COMPARISON TO NOVEMBER REPORT - Not Hiding, Escalating
In my November 12, 2025 forensic analysis, I documented patterns based on analyzing approximately 800 reviews from Credit Saint's total profile:
Twenty-four days of continuous surveillance later, the data from 235 new reviews shows:
60% of reviewers have only 1 review (↑ 76% increase from baseline)
75% of reviewers are "New" accounts (↑ 92% increase from baseline)
40% exhibit template language (↑ 29% increase from baseline)
235 new suspicious reviews in 24 days (9.8 per day velocity)
Comparison: November Baseline vs. 24-Day Observation
Metric | November Baseline | Nov 12 - Dec 5 | Change |
Review Velocity (per day) | ~8-9 reviews | 9.8 reviews | ↑ 15% |
"New" Account % | 39% | 75% | ↑ 92% |
Single-Review Profiles | 34% | 60% | ↑ 76% |
Template Language Detection | 31% | 40% | ↑ 29% |
Reviews with Photos | 12% | 28% | ↑ 133% |
Agent Astroturfing Targets | 6 agents | 8 agents | ↑ 33% |
Reviews Focused on Sales Call | ~80% | 84.3% | ↑ 5% |
The Critical Question: Evolution or Escalation?
When I published my November 12 analysis, Credit Saint had two paths:
Path 1: Wise Up and Hide Better
Reduce review velocity to seem more organic
Diversify language to avoid template detection
Create more convincing sock puppet profiles
Slow down after exposure
Path 2: Don't Care and Double Down
Maintain or increase review velocity despite exposure
Continue using template language
Keep creating obvious "New" sock puppet accounts
Act as if accountability doesn't exist
The data conclusively shows Credit Saint chose Path 2.
Every measurable indicator of fake review manufacturing increased during the 24-day observation period. They didn't get more subtle. They got more blatant. They didn't slow down after being exposed. They accelerated.
This isn't a company trying to reform quietly. This is a company operating under the assumption that volume overwhelms scrutiny, that most consumers won't do the forensic analysis I'm doing, and that they can manufacture consensus faster than I can document deception.
They're wrong on all counts.
CHAPTER 12: THE VICTIMS WHO SEE THROUGH IT
The most powerful evidence that Credit Saint's reviews are fake comes from Credit Saint's own customers.
Over 40 negative reviewers explicitly state that the positive reviews are manufactured. These aren't my allegations—these are firsthand witnesses to the deception.
Direct Consumer Testimony: "The Reviews Are Fake"
Let me share their voices, unedited and unfiltered:
Deborah South (2 reviews, 2 weeks ago) - 18 people found this helpful ❤️:
"They have done very little. Paying a lot and still no changes. Their dashboard does very little. Like wow!!! They also ask for a review right after you sign up, way before you experience them as a client. Stay away!!!"
This is the smoking gun. Deborah directly describes the mechanism: Credit Saint solicits reviews immediately after enrollment, before clients experience actual service.
This explains why 84.4% of positive reviews mention only the sales call.
Cory Thompson (Local Guide, 4 reviews, 2 weeks ago) - 13 people found this helpful ❤️:
"Worst place ever, customer service was horrible and degrading didn't remove anything from credit report. Now I'm out $800 and in the same boat as I started. I definitely would not recommend. Family member started exact same time as me..."
Analysis: Cory not only documents his own experience but mentions his family member's parallel nightmare, suggesting systematic victimization.
tiffany smith (5 reviews, a month ago) - 17 people found this helpful ❤️🤯:
"I gave this company 5 months of consistent payments of $139 per month with zero deletions and zero progress. I calculated the 120 days incorrectly as I thought the guarantee started from the date of first payment. So I thought I had until..."
Analysis: tiffany provides exact monthly cost, exact timeframe, exact result (zero), and describes guarantee manipulation. This is the opposite of template language—this is painful specificity.
jack ohio (6 reviews, a month ago) - 7 people found this helpful ❤️:
"Paid for their top tier service, gave them 4 months and they removed 1 item out of over 25 and I paid off the item they removed. Called in to cancel and was told about a 'different approach' they could try. Lol..."
Analysis: Documents premium service failure, specific timeline, specific results (1 removal out of 25 attempts), and mocks the retention tactic. The "Lol" at the end is authentic frustration.
Jessica R (Local Guide, 20 reviews, a month ago):
"Waste of money and time. They did nothing and nothing was removed. I ended up doing some things myself and was productive without having to pay them $180/month. RIP OFF"
Analysis: Specific monthly cost ($180 for premium service), documentation that self-help was more effective than paid service.
Erica Correa (Local Guide, 40 reviews, a month ago):
"This company is a joke, they take money and not fully tell you all the details and than proceeds to say the only way to get a refund is by keeping the account open and paying more money like huh what is wrong with this business. Will never go to these people again."
Analysis: Documents the guarantee trap—being told you must keep paying to qualify for refund. This aligns with the guarantee manipulation I documented in Part 1.
John Lacontora (1 review, 4 weeks ago):
"Do not use these people it is a scam they portray that you have 90 days money back guarantee I was told during the phone call that if I'm not satisfied I can get my money back try to cancel they say they have to wait till 91 days you have..."
Analysis: Documents the guarantee timing manipulation—90-day guarantee that requires waiting until day 91, conveniently disqualifying the client.
Himel Ashraf (Local Guide, 18 reviews, 3 weeks ago):
"Before subscribing, I was told that my credit would be repaired within 45 days. But 100 days have passed, and there has been no update."
Analysis: Documents specific timeline promise (45 days) versus reality (100+ days with no results). This aligns with the false timeline representations I documented in my CROA legal analysis.
Vanessa FILLION (2 reviews, a week ago):
"I wouldn't even give a one star if I could. This agency is a scam. The credit bureaus never heard from them on my behalf. I called the credit bureaus myself. When I call credit Saint back to let them know the information I have gotten they..."
Analysis: Vanessa did independent verification—called credit bureaus directly, discovered Credit Saint never filed disputes. This is direct evidence of fraud.
AJMAL ALOKOZAY (6 reviews, a week ago):
"Please don't let credit saint scam you guys, i give them a call for my credit repair I have explained everything with my score, but they guarantee, if my score don't go up by 3 months they will issue me refund, they did not mentioned..."
Analysis: Documents guarantee misrepresentation—verbal promise not honored in writing, classic bait-and-switch.
What These Voices Tell Us
These aren't template complaints. These aren't coordinated attacks. These are real people, using real names, sharing real financial trauma with specific details that can be verified.
The contrast between these authentic horror stories and the templated positive reviews is night and day.
If you're a consumer reading this: Who do you trust?
The account created 16 hours ago with 1 review saying "very helpful and patient"?
Or the Local Guide with 20 reviews across multiple businesses saying "They did NOTHING and nothing was removed... $180/month... RIP OFF"?
The choice should be obvious.
CHAPTER 13: THE FEDERAL LAW VIOLATIONS - Updated Analysis
In Part 2 of this investigation, I documented Credit Saint's violations of the Telemarketing Sales Rule (TSR).
The December review analysis adds evidence of FTC Final Rule on Fake Reviews violations.
FTC Final Rule: What It Prohibits
Effective August 14, 2024, the FTC's Final Rule prohibits:
Creating or selling fake consumer reviews
Buying positive reviews or offering compensation for reviews expressing particular sentiments
Insider reviews without clear disclosure (employees, officers, agents)
Review suppression based on sentiment
Misrepresenting that reviews reflect most submissions when negative reviews are hidden
Civil Penalties: Up to $51,744 per violation
If even 10% of Credit Saint's reviews violate the Final Rule, the mathematics become staggering:
15,468 total reviews × 10% violation rate = 1,547 violations
1,547 violations × $51,744 = $80 million in potential penalties
That's not my speculation. That's the FTC's published penalty structure.
What Consumers Should Do
If you believe Credit Saint violated your consumer rights, you can file complaints with:
Federal Trade Commission: Report fraud at: https://reportfraud.ftc.gov/
Consumer Financial Protection Bureau: File complaint at: consumerfinance.gov/complaint
Your State Attorney General: Find your AG's consumer protection division online
For more information about your rights under federal consumer protection law, visit:
CHAPTER 14: WHO IS CREDLOCITY? (And Why We're Different)
Before I continue, I need to be transparent about who I am and why I'm conducting these investigations.
My Story: From Victim to Advocate
In 2008, I was desperate. Lexington Law scammed me out of $1,847 over thirteen months with zero results. That experience destroyed my hope—and then rebuilt it as fuel.
I fixed my own credit. Then I helped 79,000+ others do the same.
In 2019, I expanded my mission from helping clients to exposing predators. Since then, I've conducted seven major fraud investigations:
Lexington Law (2022-2023): Contributed research that led to $2.7 billion settlement
Chanelle Jones/Savvy Business Group (2019-2020): Led to NY AG action, $1.8M victim recovery
Alex Miller/Dana Chanel Network (2021-2022): Led to class action lawsuit, $3.4M judgments
Credit Saint (2025-ongoing): This investigation
What Makes Credlocity Different
I founded Credlocity on three principles that emerged from my own victimization:
1. Radical Transparency
We don't make promises we can't keep. We don't use template scripts. We educate clients about what's realistic, what's legal, and what's possible.
2. TSR Compliance
We do not enroll clients over the phone. Why? Because the Telemarketing Sales Rule requires companies that sell credit repair via phone to wait 6 months before charging.
Most companies (including Credit Saint, as I documented in Part 2) violate this by charging on day 6.
We avoid the temptation entirely by only accepting clients through our website.
3. Real Guarantees With Teeth
Our 180-day guarantee is simple:
If you are not satisfied and we are unable to improve your credit you get your money back..
You get a full refund. Period.
No 14 hidden conditions. No "you didn't qualify because..." No lawyers interpreting contracts.
We've honored it for 17 years whenever invoked (which is rare, because we actually deliver).
Our Track Record
79,000+ clients served since 2008
$3.8 million in unverified debt deleted
Average score increase: 67 points across three bureaus
4.8-star Google rating (same as Credit Saint, but with zero fake review patterns)
1 CFPB complaint in 17 years (resolved within 48 hours)
Learn more about our approach: About Credlocity & Joeziel Vazquez
Why I Write These Investigations
I don't conduct these investigations to destroy competitors. I conduct them to protect my community.
Every person who enrolls with Credit Saint and loses $1,500 over 13 months is someone who could have gotten real help. Every victim who gives up on credit repair because they were scammed is a family that won't buy a home, get a better car loan, or escape financial desperation.
I write these investigations because I was Jennifer Martinez in 2008. I was the desperate person who trusted the wrong company. I know the shame. I know the financial devastation. I know the feeling of being stupid for falling for it. And I refuse to stay silent while it happens to others.
This Isn't a Sales Pitch
I'm not telling you to hire Credlocity. I'm telling you to be informed.
Read reviews critically. Look for patterns. Demand specifics. Don't trust template language. Don't trust "New" accounts with 1 review. Don't trust claims without evidence.
Whether you hire us, another company, or do it yourself—just don't hire a company that lies, manipulates, and exploits. Because you deserve better than what Credit Saint delivers.
CHAPTER 15: THE METHODOLOGY - How I Conducted This Investigation
Transparency matters. You should know exactly how I reached these conclusions and what this investigation entailed.
The 24-Day Surveillance Operation (November 12 - December 5, 2025)
This wasn't a one-week sprint. This was a sustained, methodical, daily documentation project that consumed nearly a month of my life.
Daily Routine:
Morning check (7:00-8:00 AM): Screenshot Credit Saint's Google profile, note review count
Throughout day: Receive Google alerts for new Credit Saint reviews
Evening analysis (10:00 PM - 12:00 AM): Document all new reviews posted that day
Weekend routine: Same process, no days off
Data Collection Process:
Step 1: Daily Review Capture
Every morning, screenshot Credit Saint's profile showing total review count
Compare to previous day to identify net new reviews
Manually extract each new review that appeared in past 24 hours
Capture: reviewer name, review date/time, star rating, reviewer profile stats, full review text, photos if present
Step 2: Profile Deep-Dive Analysis
Click through to each reviewer's profile
Document account status ("New" vs. established)
Count total reviews across all businesses (identifying single-review sock puppets)
Note Local Guide status, review history across other businesses
Screenshot suspicious profiles before they could be deleted
Step 3: Linguistic Pattern Documentation
Created master spreadsheet with all 188 reviews from the observation period
Conducted keyword searches for known template phrases from November analysis
Identified new template variations that emerged
Tallied frequency of repeated language patterns
Cross-referenced template usage with profile characteristics (New accounts, single reviews, etc.)
Step 4: Timing and Velocity Analysis
Documented exact dates/times of negative reviews
Tracked positive review posting patterns in 24-48 hour windows following negative posts
Calculated daily review velocity
Identified patterns in posting times (clustering, unusual overnight posts, etc.)
Step 5: Comparative Statistical Analysis
Compared 24-day observation data to November 12 baseline analysis
Calculated percentage changes in all key metrics
Identified whether patterns were improving, stable, or worsening
Determined trajectory: hiding better vs. doubling down
Step 6: Outreach and Verification Attempts
Selected reviews with suspicious characteristics for direct outreach
Sent messages through Facebook asking for specifics
Documented response rate (zero responses received)
Attempted to verify claimed experiences with credit bureau data where possible
Step 7: Google Platform Report
Compiled all evidence into formal report for Google review fraud division
Submitted November 21, 2025 with statistical analysis, examples, methodology
Received confirmation of active investigation
Tools Used
Manual Review Reading: Primary data source
Spreadsheet Analysis: Pattern tracking, statistical calculations
Word Frequency Counters: Template phrase identification
Sentiment Analysis Tools: Emotional authenticity measurement
Timeline Tracking: Timing pattern documentation
Limitations & Disclaimers
What This Analysis Proves:
Statistical patterns inconsistent with organic behavior
Linguistic evidence of template usage and coordination
Timing patterns suggesting systematic review suppression
Correlation between negative posts and positive floods
What This Analysis Cannot Definitively Prove:
Whether specific individual reviews are fake (only patterns)
Exact mechanism of review generation (could be multiple methods)
Whether Credit Saint corporate headquarters orchestrates this (vs. rogue agents/affiliates)
My Professional Opinion: Based on 17 years in the credit repair industry, investigating fraud, and analyzing 10,000+ reviews, I believe the evidence overwhelmingly supports the conclusion that Credit Saint's review profile is artificially manufactured through a combination of:
Early solicitation of reviews before service delivery
Template scripts provided to sales representatives
Possible sock puppet account creation
Systematic timing of positive posts to suppress negatives
But I acknowledge this is opinion based on evidence, not judicial fact.
CHAPTER 16: THE FAQ - Everything You Need to Know
Q: Why does Credit Saint have so many positive reviews if they're fake?
A: Because manufacturing consensus is effective marketing.
Most consumers don't do forensic analysis. They see:
4.8-star rating
15,000+ reviews
Hundreds of "very helpful" comments
And they trust it.
That's exactly why the FTC Final Rule on Fake Reviews exists—because fake reviews work at deceiving consumers.
My job is to document the deception so informed consumers can see through it.
Q: Can Credit Saint sue you for defamation?
A: They already threatened to in Part 2 (demanding $300,000).
I rejected it and provided 18 pages of evidence demolishing every claim.
Truth is an absolute defense to defamation. Every factual statement I make is documented, verifiable, and based on publicly available data.
My opinions (that reviews appear fake, that practices seem coordinated, that patterns suggest manufacturing) are protected under the First Amendment as opinion based on disclosed facts.
If Credit Saint wants to sue me, I welcome it. Discovery would be extraordinary.
Q: What should I do if I'm a Credit Saint victim?
A: Follow these steps:
1. Document Everything
Save all emails, contracts, bank statements
Screenshot portal, progress reports, communications
Write timeline while memories are fresh
2. File Official Complaints
Your State AG: Search "[your state] attorney general consumer complaint"
3. Demand Your Guarantee Refund
Email Credit Saint formally demanding full refund
Cite specific failures (no results, no deletions, score didn't improve)
Reference CROA legal rights
Keep delivery confirmation
4. Stop All Payments
Contact your bank/card issuer immediately
Dispute charges as "services not rendered" or "fraudulent"
Block future debits
5. Warn Others
Leave detailed review on Google, Yelp, BBB, Trustpilot
Share your timeline, dollar amounts, outcomes
Your story saves others
6. Consider Legal Action
CROA creates private right to sue
Consumer protection attorneys often work on contingency (no upfront cost)
Email admin@credlocity.com for attorney referrals
Q: Why do some positive reviews seem real?
A: Because some probably are.
Not every positive review is fake. Credit Saint likely has some satisfied customers—though their rate appears significantly lower than their review profile suggests.
What makes a review likely authentic:
Established account with review history across multiple businesses
Specific details (exact items removed, exact score increase, exact timeline)
Realistic outcomes (modest improvements over 6-12 months, not miracles)
Personal writing style with natural language
Posted after 6+ months of service
Example of potentially authentic positive:
[Hypothetical - none found in my sample, but this is what one would look like]
"Used Credit Saint for 8 months. They removed 2 medical collections and 1 late payment from my Discover card. Score went from 589 to 641. Rep 'Sarah' was responsive when I called. Monthly cost was $130. Would have preferred faster results but ultimately got what I needed. Just be patient and don't expect miracles."
That review has:
✅ Specific items removed
✅ Realistic score increase
✅ Exact timeline
✅ Honest cost disclosure
✅ Realistic expectations set
✅ Personal voice
I haven't found many reviews like this in Credit Saint's profile. Most are template praise or victim warnings.
Q: Are all credit repair companies scams?
A: No. But many are.
Red flags for scam companies:
✅ Charge before service is performed (CROA violation)
✅ Make specific guarantees about results
✅ Pressure you to sign immediately
✅ Won't give you time to read contracts
✅ Difficult or impossible to cancel
✅ High-pressure sales tactics
✅ Won't explain exactly what they'll do
✅ Discourage you from trying yourself first
✅ Claim "special access" or "proprietary techniques"
Green flags for ethical companies:
✅ Transparent about TSR compliance
✅ Don't enroll over phone (or wait 6 months to charge)
✅ Simple, clear guarantees
✅ Educational approach
✅ No pressure tactics
✅ Explain you can do it yourself
✅ Realistic expectations
✅ Easy cancellation process
Learn more: Credit Repair Laws
CHAPTER 17: THE CALL TO ACTION
If you're reading this, you're one of two people:
1. You're a Credit Saint victim
Or...
2. You're researching credit repair companies and want to avoid becoming one
For Credit Saint Victims
You are not alone.
The 12+ negative reviews I documented in December represent real people with real financial trauma. The 28 negative reviews from November represent real victims with real warning signs.
You are not stupid for trusting them. They built a sophisticated deception system designed to exploit hope.
Here's what you can do:
Take Action Today:
File FTC complaint: https://reportfraud.ftc.gov/
File CFPB complaint: consumerfinance.gov/complaint
Email admin@credlocity.com with subject "Credit Saint Victim Support"
Leave honest review warning others
Stop all payments immediately
Your voice matters. Every complaint creates a paper trail. Every review warns another family. Every regulatory filing contributes to pattern recognition that triggers investigations.
You can't change what happened to you. But you can prevent it from happening to the next person.
For Consumers Researching Credit Repair
Before you hire ANY credit repair company:
Ask these questions:
"Do you enroll clients over the phone?" (If yes, ask: "When do you start charging?")
"What exactly will you do that I can't legally do myself?"
"Can I see your actual success rates with documentation?"
"What are ALL the conditions of your guarantee?"
"How do I cancel if I'm not satisfied?"
"Can I speak to your CEO directly?"
Red flags to run from:
Won't answer questions directly
Pressure to decide immediately
Can't/won't show verifiable results
Vague about total costs
Complicated cancellation process
Makes guarantees that sound impossible
Discourages you from trying yourself
Do your research:
Read BBB complaints, not just ratings
Read CFPB complaint database
Read negative reviews carefully (they're usually honest)
Check TSR compliance
Verify CROA compliance
Most importantly:
You can dispute credit report errors yourself for free. Credit repair companies provide convenience and expertise, not magic powers.
Before paying anyone, try it yourself:
Get free reports at AnnualCreditReport.com
Review for errors, inaccuracies, unverifiable items
Dispute directly with credit bureaus
Be persistent and follow up every 30 days
If it's overwhelming, then consider hiring someone.
But hire someone who educates you, not someone who keeps you dependent.
For Credit Saint Leadership
You still have a choice.
My offer from Part 2 stands: Reform or be exposed.
You have until December 6, 2025 to respond to my partnership proposal:
Halt deceptive sales practices
Compensate victims with legitimate guarantee claims
Implement ethical review policies
Stop TSR violations
Become an industry model
Or face:
Continued investigative journalism
Regulatory complaints to FTC, CFPB, 50 state AGs
Victim support network with legal referrals
Media coverage
The truth, documented and irrefutable
The deadline is today. Your move.
DISCLOSURES & LEGAL NOTICES
Consumer Protection Notice
This Investigation Is Not Legal or Financial Advice
This article is investigative journalism based on documented evidence, consumer complaints, forensic analysis, and public records. It represents the professional opinions and findings of the author based on 17 years of industry experience.
Nothing in this article constitutes:
Legal advice (consult a licensed attorney)
Financial advice (consult a licensed financial advisor)
Guaranteed outcomes (results vary by individual circumstances)
The author is:
CEO of Credlocity, a credit repair company that competes with Credit Saint
A Board Certified Credit Consultant (BCCC) with 17 years experience
Not a licensed attorney
If a credit repair company enrolls you over the phone and charges you before 6 months, they are violating federal law.
Report violations to:
Federal Trade Commission: https://reportfraud.ftc.gov/
Consumer Financial Protection Bureau: consumerfinance.gov/complaint
Learn more:
Final determinations of legal violations can only be made by courts or regulatory agencies.
Conflict of Interest Disclosure
The author is CEO of Credlocity, a credit repair company that competes with Credit Saint in the marketplace.
This competitive relationship is disclosed openly throughout this investigation and does not diminish the factual accuracy of documented evidence.
The author's motivations:
Primary: Consumer protection (personal experience as fraud victim in 2008)
Secondary: Industry reform (improving standards for all credit repair companies)
Tertiary: Competitive advantage (ethical companies benefit when predators are exposed)
The author has received:
No compensation from third parties for this investigation
No payment from competitors, regulators, law firms, or media
No financial benefit beyond potential organic business growth from journalism
Corrections & Accountability Policy
If you identify factual errors: Email: admin@credlocity.com Subject: "Credit Saint Investigation - Correction Request"
Substantiated errors will be corrected promptly with:
Transparent disclosure of what was incorrect
What is now correct
Date of correction
Source of corrected information
The author has already published corrections:
Part 1 was updated on November 11, 2025 before receiving legal threat
Corrections included BBB rating clarification, CFPB complaint count correction, Google review total clarification
This demonstrates commitment to accuracy over reputation protection.
Contact Information
For Media Inquiries: Email: admin@credlocity.com Subject: "Media Inquiry - Credit Saint Investigation"
For Victim Support: Email: admin@credlocity.com Subject: "Credit Saint Victim Support"
For Credit Saint's Response: Credit Saint or its legal representatives may submit responses, corrections, or rebuttals to admin@credlocity.com. Substantive responses will be published with the author's reply.
For General Questions: Email: admin@credlocity.com Phone: 267-225-4198 Website: https://www.credlocity.com
About the Author
Joeziel Vazquez CEO & Board Certified Credit Consultant Credlocity Business Group LLC Philadelphia, PA
Professional Background:
17 years in credit repair industry (2008-2025)
Board Certified Credit Consultant (BCCC)
Certified Credit Score Consultant (CCSC)
Certified Credit Repair Specialist (CCRS)
FCRA Certified Professional
Learn more: About Joeziel Vazquez
Part 1: How a Single Mother's $1,500 Betrayal Revealed an Empire of Deception
Part 3: The Review Factory (You Are Here)
Part 4: Coming December 20, 2025
© 2025 Credlocity Business Group LLC. All Rights Reserved.
This article may be shared, linked, or excerpted with proper attribution. Reproduction in full without permission is prohibited.