MichaelKitces engagement report
@MichaelKitces - 97K followers on X
Measured over 56 original posts from a 30-day window, last computed on September 16, 2026.
Engagement
A typical post picks up 10 interactions against 97K followers, an engagement rate of 0.011%. Measured over 56 original posts, its engagement rate beats 18% of 21,185 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 3.2K times each, and 0.324% of those impressions turn into an interaction. That is about 3.36% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 21:00 UTC, and Tuesday is the busiest day of the week. Of the 56 posts sampled, 32% carry an image or video and 100% link out. The account's strongest tracked post pulled 154 interactions, about 15x its own typical post. Recurring topics include #weekendreading, #fasuccess.
Measured over 56 original posts from a 30-day window, last computed on September 16, 2026. Recurring tags: #weekendreading, #fasuccess.
Compared with accounts its own size
MichaelKitces's engagement rate beats 18% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 7 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.
On engagement per impression rather than per follower it beats 16% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.
Where this sits in the catalog
At 0.011%, MichaelKitces sits above the 10th percentile of the 213,004 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.147% |
| 75th percentile | 0.698% |
| 90th percentile | 2.61% |
| 99th percentile | 82.8% |
This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built
Posting timing
This account posts most often around 21:00 UTC, and Tuesday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 00:00 UTC | -1% | 89K |
| 01:00 UTC | -2% | 90K |
| 02:00 UTC | -3% | 88K |
| 03:00 UTC | -4% | 94K |
| 04:00 UTC | -5% | 76K |
| 05:00 UTC | -4% | 75K |
| 06:00 UTC | -5% | 86K |
| 07:00 UTC | -5% | 93K |
| 08:00 UTC | -4% | 108K |
| 09:00 UTC | -4% | 124K |
| 10:00 UTC | -3% | 129K |
| 11:00 UTC | -3% | 141K |
| 12:00 UTC | -3% | 154K |
| 13:00 UTC | -3% | 167K |
| 14:00 UTC | -4% | 173K |
| 15:00 UTC | -2% | 176K |
| 16:00 UTC | -3% | 171K |
| 17:00 UTC | -3% | 159K |
| 18:00 UTC | -2% | 149K |
| 19:00 UTC | -2% | 141K |
| 20:00 UTC | -1% | 131K |
| 21:00 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
Formats this account uses
Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 32% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 100% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 32% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
- 100% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
- Its average post runs 647 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.
These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.
Best tweets
- Sep 6, 202615x their median
The Problem With FIRE: Human beings aren't meant to be idle for life. Even as the FIRE movement develops strategies to reach financial independence earlier and earlier, to have a longer time window for that life of leisure… retirement research is finding that even "normal" retirees often aren’t nearly as happy in that retired life of than they expected! https://t.co/eBVoLcKGN2
- Sep 10, 202614x their median
As we've repeatedly emphasized from our Kitces Research for years, fee compression amongst advisors is a myth. More advisory firms have been RAISING fees than lowering them, for years. Now even Schwab is rolling into the fee-increase outlook. Substantial changes underway for their in-house wealth advisory platform, specifically for their HNW clients: - The $5M to $10M asset tier goes from 50bps to 55bps (which is a 10% increase in fee revenue) - The $10M to $25M asset goal goes from 30bps to 45bps (which is a 50% increase in fees for those clients). No change on the under $5M tiers (which tier 80bps down to 70bps) or over $25M tiers (still at 30bps). This is for Schwab Wealth Advisory, which was their Schwab Private Client offering. These are non-discretionary accounts, but includes some financial planning from CFP professionals. #Advicers: Does this impact how you think about your fee schedule for providing (discretionary) investment management plus (comprehensive) financial planning? "Schwab hikes fees for clients of its in-house RIA" https://t.co/XRcdfurK7E
- Oct 28, 202412x their median
Our list of "Best Conferences 2025!", and be sure to take advantage of the discount codes that several have offered to Nerd's Eye View readers! Best in: -Overall Planning: @FPANorCal -Technology: @t3techhub -Advanced Tax Planning: @AICPA Engage and more! https://t.co/bewEKQMNXQ https://t.co/l2hdDVWHlP
- Aug 9, 20266.5x their median
Financial Advisor Fees Comparison – All-In Costs For The Typical Financial Advisor? https://t.co/vEaBAEWs6N
- Sep 11, 20265.4x their median
Why saving in a Roth (or any) IRA might be a bad idea for young people after all: When the client is young, the human capital asset is actually the bigger of the two by far. As a result, allocating savings towards human capital in ways that increase its value or growth rate can actually have far more impact than investments in financial assets; spending $2,000 on classes that produce a $1,000 raise in base salary can, over the next 40 years, generate nearly 20 times the wealth of merely saving the $2,000 in a Roth IRA and growing it for decades. https://t.co/ilIRubOJ1R #advicers
- Sep 2, 20265.2x their median
When it comes to the sale of advisory businesses, deals are almost never structured with the total purchase price paid at closing. ➡️How today's serial acquirers of advisory firms commonly include retention, earnout, and other post-closing contingencies that can materially shape what sellers will actually receive for the sale of their firm: https://t.co/eg9N8aP7G3 In this guest article, Rich Chen, founder of Brightstar Law Group, shares: -How M&A Deferred Payments Are Structured And Impact Purchase Price Multiples For Advisory Firms -What Are Retention Payments And How Do They Impact Purchase Price? -How Do Earnout Payments Work When Selling An Advisory Firm? -How Buyer Actions Can Negatively Impact Retention And Earnout Achievability
- Aug 13, 20265.2x their median
It can be challenging for advisors to convey the value of financial planning – especially when meeting with prospective clients who may be unfamiliar with what 'financial planning' entails. How advisors can develop a structured sales process tailored to the specific needs of a well-defined client niche and lead to higher conversion rates with a 3-step sales process: https://t.co/VFnUiD1U32
- Aug 11, 20263.9x their median
How I Differentiate As A Financial Advisor Prospecting For Clients https://t.co/j8sepJ9JnF
- Sep 7, 20262.8x their median
This month's #WeekendReading kicks off with the news that Altruist has been acquired by Vanguard, representing a major shift for an RIA custodian that had previously been untethered to a retail financial institution: https://t.co/xc7fGaf7gn And other interesting advisor technology announcements: -FINNY has revamped its pricing model, switching from a flat-fee annual subscription to primarily a 20bps revenue share for new client revenue brought in through the platform -Startup CRM providers Slant and FinTurk both launched new forms-related tools – Slant's for building forms, and FinTurk's for filling forms out -Pontera has announced a new non-discretionary 401(k) advice tool for advisors who can't or prefer not to manage their clients' 401(k) assets directly -Wavvest, which built an 'all-in-one' AI technology solution for financial advisors, has also launched an in-house RIA based on that technology -Platforms related to alternative investment distribution and support for RIAs have raised over $2 billion New additions to the #Fintech map: -Stock Alarm Professional -Amplify QuantumRisk -Synopsist -Stratum -Fin Pods AI -Strata AI -AdvisorClaw -gAIn360 -Alto -TieoutIQ -SecureSplit -ZerreSpace -ArvoFin -RetireTax Scan Pro -Moxo -CanyonOps -Stonewood Software -WealthY -BeyondWill -Asora
- Aug 31, 20262.5x their median
What Are Successful Flat-Fee Advisory Firms Doing? Flat-fee planning models often fail to keep up with AUM-based fee models, as their flat fees are typically exempt from market volatility, meaning that their advisory business is shielded from market declines… but their earnings also do not benefit from market growth. https://t.co/6Rdc0j1GjX While there are material challenges in successfully launching and scaling a flat-fee advisory firm compared to AUM, advisory firms can (and do) find success under the flat-fee model. In this article, Sydney Squires, Senior Financial Planning Nerd, discusses what fee-only advisors are charging, the challenges – and opportunities – of various fee-only models, and what advisors who are looking to scale these models can do.
Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.
Recurring topics
The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.
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Reading these numbers
A typical post picks up 10 interactions against 97K followers, an engagement rate of 0.011%. Measured over 56 original posts, its engagement rate beats 18% of 21,185 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 3.2K times each, and 0.324% of those impressions turn into an interaction. That is about 3.36% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 21:00 UTC, and Tuesday is the busiest day of the week. Of the 56 posts sampled, 32% carry an image or video and 100% link out. The account's strongest tracked post pulled 154 interactions, about 15x its own typical post. Recurring topics include #weekendreading, #fasuccess.
- What is MichaelKitces's engagement rate on X?
- MichaelKitces (@MichaelKitces) has an engagement rate of 0.011%, based on the median interactions across 56 original posts from the last 30 days against 96,509 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.011%, MichaelKitces sits above the 10th percentile of the 213,004 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
- Does @MichaelKitces have real engagement?
- Its engagement rate beats 18% of the tracked X accounts closest to it in follower count (21,185 accounts), which puts it in the bottom quarter for its size group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
- When does @MichaelKitces post?
- Most posts go out around 21:00 UTC, and Tuesday is its busiest day, at roughly 1.87 posts per day across the measured window.