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e-GMAT is the world's most reviewed company, whose students have delivered 10x more 655+ scores than students from the average GMAT Club partner. e-GMAT truly understands the test and the test taker, and accurately creates personalized GMAT journeys for students — whether they start with a score of 345 or 605 — and helps them achieve 735+ on the GMAT.
Created by four of the GMAT Club's top five experts, e-GMAT is a unique combination of proprietary methods in Quant, Verbal, and Data Insights. To ensure that you excel at these methods, e-GMAT's AI-powered tools personalize your learning and provide real-time feedback that can quadruple your chances of success and help you save up to 120 hours while preparing.
Finally, e-GMAT also gives you access to strategy experts who will help push your score to 735+, regardless of where you started from.
Here is what you will get with e-GMAT:
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I scored a 655 (V82, Q84, D81) after starting from a 495. The number I care about is not the 655, it is the 160 points in between, and the fact that Data Insights, the section I began with in the bottom 10 to 15 percent, finished at an 81. I am writing this as honestly as I can, because when I was at 495 I needed real detail, not encouragement.
The single most useful thing was the one-on-one mentorship and the weekly check-ins. From the first call nobody treated my 495 as a ceiling. The work was broken into small steps at a pace where I could actually build a skill rather than fake it, and the weekly conversations kept pointing me back to the same question even in the flat weeks: where are the gaps, and what do we fix this week. That structure is the difference between drifting and improving.
Every gain traced back to a specific habit the course drilled, not to vague effort. In Quant I could solve anything with unlimited time, but I kept leaking points under the clock because I was missing a hidden constraint. The fix was discipline: write the question down, mark exactly what is being asked, circle the constraint, every time. It felt slow, and forcing myself to follow it even under pressure is what finally broke a plateau that sat in the low 70s for three mocks and moved me to an 84. In Verbal, which was my anchor from the start, pre-thinking and the negation test were what let me handle the harder CR assumption questions and stop flipping a coin on the final two options, and a summary-and-link method on RC is what got me the author-intent and big-picture questions that memory alone never could.
Data Insights was the real transformation. I went in not even understanding what DI was, and learned that Data Sufficiency has an actual method instead of being as simple as it looks, and that Two Part Analysis and Multi Source Reasoning are about processing information on paper rather than panicking at the volume. A lot of that came from the verbal work happening alongside it. The point I would stress most is the difficulty level: the questions I trained on, especially the harder DI and MSR sets on Scholaranium, were tougher than what I actually faced on the real exam. By test day I had four or five Quant questions that felt completely familiar and the verbal felt a little easier than my practice. Working above the level of the exam is exactly what made the exam feel calm.
The part I would single out is the closing stretch and the exam-day support. The anxiety toolkit I was sent before the exam read like a description of my own head, and the simple rule of bringing nothing new and treating it as just another day is a real reason I stayed calm enough to score what I did. If you are sitting at a low score and quietly giving up, this is the kind of structured, mentor-led program that makes a large jump feel like a weekly to-do list instead of an impossible gap.
Four days before my exam, a Quant sectional came back at 90. Eight days before that, a mock had put my Quant at 80. Nothing about my maths changed in between. What changed is that I finally knew, at block level, where I was losing marks. If you are in the 640s you will recognise the position: months of effort behind you, a number that should be higher by now, and no way to tell which section is the real problem. I was sure Quant was my strength. It was the thing holding me down. The Personalized Study Plan is where the triage starts. It takes your target, your date and the hours you can honestly give in a week, and turns that into a sequence. I edited mine once, midway, once it was obvious how much I had let slide. For anyone with more time than I gave myself there is PACE: a short diagnostic quiz before each topic, so you know which lessons to skip.
The turn came from cementing quizzes, the short exam-level checks at the end of every topic, which I had been ignoring because I was living on full timed sections, and those concentrate nothing: three or four questions per topic in a whole attempt. That is not data. One weekend of hard cementing quizzes across six courses gave me something to read. Scholaranium's topic-level analytics then named it. One number properties block, 40 percent on hard questions. The PRISM report after each quiz showed where my minutes had gone, which mattered more to me than the accuracy. Then I read each worked solution beside my own attempt, and the fault came out. My method needed three and a half minutes where the clean one needed two. This is where e-GMAT is clearly ahead, and it is Quant. The questions sit at genuine exam difficulty. The SigmaX mocks were harder than the actual paper. And the Quant sectional mocks are what convert a corrected method into live execution, because knowing the faster route and running it in a real section are two different things. That 40 percent block finished at 70. My last three Quant sectionals read 89, 90 and 88. The exam gave me a Q86 off a mock that had said 80.
The change shows most in hard divisibility and remainder questions, which I used to brute-force by plugging in values until something landed, one after another, until the clock had gone. Now the type registers and the route arrives with it. Data Insights cleared the 80 I was targeting. Multi-Source Reasoning came back at the 100th percentile on a course I had barely opened, on the strength of the MSR modules and the case-study videos. The Last Mile Push held all of it together. My mentor Jagadish read my numbers without the bias I read them with, and told me what to leave alone. One honest caveat: this course deserves more time than I gave it. I had twelve days of real direction and it needed a month. So if your fundamentals are there, your score has flattened, and you suspect you are grinding the wrong things, this is the one.
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I finished at 715, and the number I still stare at is the Q90, the 100th percentile, because I never once hit a 90 in practice. My best quant sectional was 88. If you are sitting on a score that feels like it ought to be higher, chewing through the hardest questions you can find and unable to say which of them are buying you anything, that was me four weeks out. I did not need more material. I needed a plan I could execute without spending my last days deciding what to do. e-GMAT builds a personalized study plan from your target score, your deadline and the hours you can realistically give it, and its PACE quizzes diagnose a topic before you study it, so a scarce week is not spent relearning what you know.
The e-GMAT course's cementing quizzes are what exposed me. They sit at the close of every topic, pitched at exam level, with a pass mark you either hit or retake. Two hard CR quizzes in a row told me the problem was not content, so instead of more theory I wrote out every question by its process, the ask, the conclusion, the pre-thinking, then each option. My mistakes turned out to be two habits repeating rather than twenty separate gaps. Fixing two habits was worth a jump out of the 37th percentile in CR and into a V86 at the 96th. They also caught a real concept gap in two-part analysis, and working back through the DI modules with their application files gave me a way to map answers to parts before solving, turning two below-threshold quizzes into a DI82. Where e-GMAT genuinely stands apart is quant. Its sectional mocks draw only on medium and hard difficulty, so they bite harder than the real thing. Mine sat in the 80s and never touched a 90, and in exchange handed me an inventory of how I lose marks. Qualifiers I read past, arithmetic slips, numbers written so fast I misread my own handwriting. Exam day was the gentler paper, and I had a checklist for all three. Q90.
The clearest before and after is boldface CR, which used to be a coin flip. Once the modules made assumption, prediction, claim and evidence precise terms rather than interchangeable ones, I eliminated options on sight. Number properties went the same way, from the topic that had haunted me since JEE to a clean sweep of the block. The Last Mile Push held it together. My mentor Kavya read patterns in my data I would never have found alone, including the evening I blamed four days of verbal work for an awful quiz score when the real problem was the hour I took it. One honest warning. The e-GMAT course hands you scores you do not want to see, right up to exam week. If you have real fundamentals, a score that has stopped moving, and a suspicion you are grinding the wrong things, this is the one.
A clean run at hard prime-number questions is not what I expected out of this prep. I opened those quizzes getting one in five right; inside a week I was at ninety percent. Quant finished as my strongest section — an 85, up from the 81 on an earlier official attempt. Final result: 675 (V83, Q85, DI82).
The problem I arrived with will sound familiar if your score looks like it ought to be higher. Mine was a 595 — respectable enough to be useless as a diagnosis. I could not tell which habits were costing me points, so I kept drilling the wrong things. e-GMAT converts your target score, date and weekly hours into a sequenced plan, and its Personalized Study Plan is built for triage: it decides which section comes first and what is realistically fixable before your exam, instead of letting you graze across all three. PACE narrows it further — brief diagnostic quizzes taken before a topic, which report back which lessons you can skip entirely and which you genuinely need, so no time goes into relearning what you have.
What the plan pointed at, and what actually fixed it:
Cementing quizzes after each topic showed I was solid across Quant except in number properties, primes most of all. They sit at real exam difficulty, which is why that opening score read as information, not discouragement.
Scholaranium's topic-level analytics let me drop a layer into which sub-areas were failing, and the solutions on my misses revealed the concept was never the problem — my approach was slower and leakier than the one being taught. Re-drilling carried hard number properties to ninety percent, and hard word problems from twenty to ninety.
Quant sectional mocks turned accuracy into execution: whole sections under exam timing, coming in 86, 80, 79, 82, 79, 82 before the real 85.
This is where e-GMAT genuinely separates itself, and not on how many questions there are. A hard quiz here behaves like a hard exam question, so the number it returns is a diagnosis you can act on rather than false comfort. My worst quant block was the sales-and-purchase word problem, where I would begin the algebra before I had written anything down. Committing the whole setup to paper first — every figure, every restriction, unglamorous and slow — took that block to ninety percent on hard questions.
One honest caveat: finishing one section before opening the next is draining, and for weeks it feels like standing still. My mentor, Kavyashree, held that line when I asked to run two at once, and the Last Mile Push mentorship in the closing stretch was largely reassurance and pattern-spotting — going through my block-level numbers with me, telling me when a bad week meant nothing.
If your fundamentals are real but your score has plateaued, and you suspect you are grinding the wrong difficulty without knowing it, this is the one.
Strengths:
I finished with a perfect Q90, every question in the section correct, off a Q88 diagnostic base. But the reason I am writing this is Verbal, because that is where I started with a problem most people reading this will recognise: a score good enough to feel like it should already be higher, and no way of seeing which part of it is costing you. I had taken one diagnostic mock and I knew Verbal was the weak half. That was the entire extent of my self-knowledge. I wanted a course rather than self-study precisely so my data would be tracked systematically instead of guessed at. e-GMAT starts you with a Personalized Study Plan that turns your target, your test date and the hours you actually have into a sequenced plan, so the order of the work is settled up front.
Would make the product better:
Scholaranium is where I practiced the most, mainly through the cementing quizzes that sit after each topic with a threshold you have to clear before moving up, and through Verbal sectionals. Later I added custom quizzes on Neuron, which serves official questions with worked solutions. The best part of both is the analytics. I found the xPERT analysis exceptionally helpful, and the dashboards tell a complete story of performance: time per question, accuracy across recent attempts, and where the remaining improvement actually sits. The insights are top-notch, and this is where e-GMAT stands apart. When my hard CR quizzes stalled at 60 and then 40, the platform did not tell me CR was weak. It told me inference was fine and that the argument-based block, Assumption, Strengthen, Weaken and Evaluate, was sitting at 20 percent, and that this single cell was holding hard CR down. I tagged every miss by type, reworked each with a pre-think written out before I opened the options, and the next two hard quizzes came back at 80 and 80. Reading Comprehension went the same way: my first two hard quizzes were 37 and 43, and after rebuilding the read paragraph by paragraph they closed at 100 and 84.
The clearest change in me was on inference questions, where I used to choose the option that merely sounded consistent with the passage. What replaced that was naming the line in the text that actually backs the answer, and if I could not name it, it was not the answer. Three days before my exam that habit caught a trap live and my Verbal sectional came back at 87. The mentorship through the Last Mile Push mattered as much as the material. Shubham was timely and actionable throughout, and it settles something to know there is expert judgement behind you whatever a quiz says. The honest caveat: the step from medium to hard cementing is a real cliff, and those quizzes are built to expose you rather than reassure you. I will also say plainly that my official Verbal came in under the band my practice was reading, and the pacing lesson took me longer to learn than the content did. If you have genuine fundamentals but have plateaued and cannot see which block is costing you the points, this is the course that will show you.
Strengths:
Good source of different difficulty questions covering all topics
Would make the product better:
Mentorship program for score improvement
Took 2 months full course access. Overall good source for preparation. Cementing quiz are helpful to build topic wise understanding. Analytics of the platform to track the progress and identify the weakness is also good. Availability of same instructor is a little challenge, but if there is any query some other instructor will address. Verbal CR solving methods are quite helpful. Solutions provided for questions are very comprehensive. Also the feature to skip a topic in quant based on initial assessment is helpful to save time. Mock tests are also relevant in GMAT exam format. It is recommended to consult mentor after every mock test and strengthen weaker section before attempting next mock test as the number of tests are limited.
Strengths:
Excellent question bank, challenging practice, structured preparation, and the LMP mentorship program. Jagadish was a great mentor and provided consistent guidance throughout my preparation.
Would make the product better:
The learning modules could be made more concise and engaging, with a stronger focus on the most important concepts and less repetition.
What the platform did for me, what it did not, and why my first reaction to the score was disappointment.
When the 665 came up on the screen my first reaction was disappointment. It was better than the 615 I walked in with, but I had written 725 on my plan back in April, and the thought that went through my head in that first second was that I might have to do all of this again. The gap between those two numbers had felt large when I set it. I have always believed that if you aim for the stars you at least reach the moon. I reached the moon. I was still hoping for more.
I had already sat the GMAT once and scored a 615 before I came here. I looked at other options, TTP among them, and I chose e-GMAT because it cost less. That was the reason.
Quant is where the course earned its money for me. I went from an 81 to an 87. What did it was practising hard questions in Scholaranium, the practice engine where you build your own timed quizzes at whatever difficulty you pick. It pushed me well past the level I was comfortable at, and the effect showed up on the day: Quant felt close to a breeze. If you take one thing from this review, take that. Questions pitched above your level are what this platform is for.
That difficulty is also why the exam itself felt manageable. The Sigma-X full-lengths run harder than the real thing, and by test day the questions in front of me were not the hardest I had seen. The one caution is that it works on the scores too. Four days before my date my best mock was a 585, and I scored a 665.
Verbal is where I fell short. My target was an 87 and I got an 81, after roughly six weeks on the section. Some of that was the day itself: it was the first time I had taken Verbal as my last section with no break before it, and I felt the difference. Some of it was method. The course teaches pre-thinking, working out what a correct answer would have to do before you look at the five options. I understood the idea and I could find the gap in the argument, but under exam pressure I dropped the prediction step and went straight to the choices, because the number of things the answer could say felt endless and building that list felt too slow with the clock running.
On Data Insights I want to correct my own mock data, because it makes the story look different from what happened. One of my DI mock scores was a 66, and that was a section I had to abandon halfway through for a meeting. My DI did not improve here. I had an 81 before e-GMAT and I scored an 81 on this attempt. It was already one of my stronger sections.
The mentorship is the part I would put hardest to anyone considering this. I was on the LMP program with Jagadish, and he was there consistently: supportive, easy to reach, steady with the guidance week to week. It kept me focused and kept my confidence up when the numbers were not doing that. When I sent him a thirty-six question Critical Reasoning error log he came back with one diagnosis for the whole thing, that I was reaching the options before I had pinned down what the right answer needed to do. He was right.
At the start of August I made a call about the last stretch. My R1 deadline was fixed, I had spent a long time on modules and cementing quizzes, and what I needed was to be sitting full-lengths. So I told Jagadish I was going to take the remaining preparation into my own hands and put it all on test-taking. If I had the time again I would go slower through the modules and work them properly. What I would not change is what came after: about a week out from the exam I came back to him, and we spent the closing stretch on sectionals and full mocks with the logs read line by line. Going into the exam off the back of that week was the right way to finish.
One habit that helped was the error log. I started keeping an error log because I had seen several YouTube interview videos emphasizing how useful they are for GMAT preparation. It helped me identify patterns in the mistakes I was making and, more importantly, gave me something to refer back to so I wouldn't keep repeating the same mistakes.
I would recommend e-GMAT to anyone preparing seriously, and especially if what you want is practice above the level of the real exam so test day feels manageable by comparison. The question bank, the hard sets in particular, is good and it is what moved my Quant, and the LMP mentorship is worth taking if you are offered it. The one change I would ask for is on the learning modules: they could be more concise and more engaging, with a stronger focus on the concepts that matter most and less repetition.
Strengths:
I finished with a 715 (V89, Q84, DI83) on my third attempt. The section that carried it, a V89, had been my lowest on the very first mock I ever took. But the thing I actually needed help with is something nobody warns you about: the high plateau. I was sitting at 675, every section looked fine on paper, and I could not tell where 40 more points were supposed to come from. My instinct was to redo the whole syllabus. e-GMAT's Personalized Study Plan talked me out of that. It takes your target and timeline and lays out what is actually worth your hours, so instead of restudying everything I walked in with a short list.
Would make the product better:
The real finding happened in Scholaranium, the practice bank whose analytics break your performance down by question type and difficulty instead of just by section. That is where my scorecard stopped flattering me. Hard Critical Reasoning looked healthy at 80 percent overall, but the inference questions inside it were at 50 while assumption, strengthen and weaken all sat at 90. So I stopped grinding CR in general and drilled inference on its own, training myself to work out what the passage actually guarantees before looking at the options. Closing that one block took my verbal from 84 to 89. Same story in quant. Hard Word Problems kept coming back weak, and reviewing the worked solutions showed me my setups were slow and roundabout. Once I redid the block with cleaner setups it climbed to 80 percent by late July. Multi Source Reasoning turned out to be my hidden DI leak, and the course's MSR sets, which are basically case study reading, pulled my hard reasoning accuracy to 90 and DI from 80 to 83.
What changed most, though, was judgment. I used to force answers on questions that were never worth the time. By the end I could tell within seconds whether a question was inside my range at that moment, and I let the rest go without ego. The Last Mile Push mentorship had a lot to do with that. My mentor, Shubham, went through my data with me and reframed every sitting as just another practice attempt, so I walked into the real exam calm instead of desperate. One honest note: the questions here run harder than the official ones, and that stings in the middle weeks. On test day it means the real paper reads a step easier. If you are somewhere between 650 and 685 with decent fundamentals and a nagging sense that your effort is going into the wrong places, this is the course I would point you to. It shows you the exact blocks that are costing you points, and lets you fix only those.
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Strengths:
Data Insights began as my weakest section by a wide margin, down at the 46th percentile, and I finished with it as my best, landing in the 93rd percentile. That single turnaround is the clearest proof of what e-GMAT does that most prep does not: it finds the real gap behind your score instead of letting you write off every bad result as a silly mistake or an off day. A large part of the jump came from the e-GMAT DI sectionals, which mirror the real exam's difficulty closely enough that test day felt familiar rather than surprising, and from the condensed sectionals, which were ideal for someone who had been away from studying and needed to rebuild stamina in manageable pieces. On my earlier attempt I ran out of time and had to guess my way through the back of the section; now I complete it fully with time left over. My accuracy on both the math and non-math halves of DI jumped dramatically, each landing in the high-80s in percentile terms, a result of pairing exam-like practice with a strict time-boxing rule that kept any one question from swallowing my time.
Would make the product better:
The same system did something I never expected in Quant, and this is the part people rarely talk about. Everyone praises e-GMAT for its Verbal, but as a non-engineer, the course that changed my outcome was their Quant course, Quant 2.0, which took me to the 88th percentile. I had always assumed Quant was a wall I could not climb without an engineer's training. The cementing quizzes exposed my real gaps immediately, showing me my basics were weaker than I believed, and the course rebuilt them by teaching exactly what the GMAT requires and then drilling the right way to approach each question rather than burying you in videos. The PACE engine made that efficient, assessing where I stood and sending me straight to my missing pieces while letting me skip what I already knew, and its threshold-based cementing meant I only moved on once I had genuinely mastered a topic. Targeted Neuron practice then built my speed, until on exam day most of my Quant questions landed comfortably inside two minutes.
Underpinning both sections is the analytics, which turned each wrong answer into a signal: I could trace whether a mistake was a repeating trend or a one-time slip, and target the cause rather than the symptom. The honest caveat is that none of this is a quick fix; it rewards patience, and the urge to rush ahead to mocks before your foundation is solid is real and worth resisting. But the single greatest advantage e-GMAT gave me was a mentor, Dhruv Joshi, who built a plan tailored to me and gave me a clear answer in exactly those moments when I could not tell what was going wrong. For long stretches I could not diagnose my own gaps, and he could. Between content that fixes the real problem, analytics that tell you the truth, and mentorship that meets you at your hardest moments, e-GMAT is the rare prep that can flip your weakest section into your best, which is exactly what it did with my Data Insights.
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Strengths:
If there is one thing e-GMAT does better than anything else I found, it is Verbal, and I say that as someone who was warned repeatedly that Verbal is the trickiest, most score-defining part of the GMAT. It took my Verbal from a V80 to a V88 and made the section I feared most into a genuine strength, lifting a 465 mock all the way to a 655, a 190-point climb. The reason it works is that e-GMAT replaces gut-feel answering, which is exactly what the test punishes, with a teachable method. Its pre-thinking approach trains you to work out what an argument actually needs before you look at the options, so the realistic-sounding trap answers stop pulling you in. It teaches you to pinpoint the precise logical gap an argument leaves open and to pick the option that closes that gap instead of whichever one reads most convincingly, and it arms you with the negation test to settle the close calls with confidence. That is a repeatable system where most prep just offers more questions.
Would make the product better:
What makes the Verbal method stick, and what carried into every other section, is the way e-GMAT is built around targeted practice and honest data. The cementing quizzes were the single most useful tool for me, because they zero in on your weak areas at difficulty levels that scale as you improve, so you are always working at the right stretch instead of grinding what you already know; alongside the Neuron quizzes, which I have not seen anywhere else, they were central to my whole learning curve. The reading-comprehension course applied the same read-for-structure discipline, and my hard-passage accuracy climbed from the mid-60s into the high-80s as it took hold. Even in Quant, which was actually my biggest gain, from a Q70 to a Q82, the program's insistence on building fundamentals first and letting speed follow is what produced the jump, and its practice analytics showed me exactly where my weak areas and timing pressure were so I could plan what to fix next rather than guess.
The honest caveat is that this is a fundamentals-first program, so it asks you to slow down and build accuracy before speed, which takes patience, but that is precisely why the results hold under exam pressure. The other thing that elevated my prep was the mentorship: late in my prep my mentor Dhruv came in and read my performance data and caught the answering patterns quietly capping my score, and even suggested using AI to keep my error log sharp and surface my repeating mistakes faster. Between a genuinely well-designed curriculum, analytics that tell you the truth, and a mentor who knows what to look for, e-GMAT is the rare prep that builds real understanding rather than memorised tricks. If Verbal is the section you have been told to dread, this is the program that flips it into your biggest advantage.