Quick answer: X's own published ranking system scores a reply or a quote roughly five to ten times higher than a plain like, and a genuine back-and-forth conversation far higher still — but whether an X Premium or Premium+ subscription adds its own separate reach multiplier on top of that is not settled, with sources disagreeing on whether the boost is documented in the ranking code at all or is mostly an observed side-effect of reply placement. Separately, X Money — the platform's new payments feature — is live only for Premium and Premium+ subscribers inside the United States as of this guide's publish date, with no announced India timeline. This guide by Kelvin Mark, Manager of IndianSMMServices.com, walks through the actual weight table, the conflicting reach-boost evidence, current 2026 Premium pricing, and what agencies serving X/Twitter clients should actually do with all of it.

What Actually Changed: X's Open-Sourced Ranking Code in 2026

X first open-sourced parts of its recommendation system back in 2023, but 2026 brought a more detailed look at the "Home Mixer" ranking pipeline that decides what lands in the For You timeline. Multiple independent breakdowns of the published code describe a transformer-based prediction model, reported under the name Phoenix in at least one technical writeup, that estimates the probability of more than a dozen possible user actions on a given post — reply, repost, quote, click, mute, report, and more — and then multiplies each predicted probability by a fixed weight before summing them into a single ranking score. The formula, as reported, is straightforward in shape even though the underlying model is not: final score equals the sum of each action's weight multiplied by its predicted probability for that specific post and viewer.

This matters for anyone managing an X presence because it replaces guesswork with a documented (if imperfectly agreed-upon) priority order. It also matters because it was published by X itself as code, not as a marketing claim — though, as the next section covers, secondary sources describing that code do not fully agree with each other on the exact numbers, and this guide has not independently re-read the raw repository this session. Readers who want the primary source should look for X's own ranking-algorithm repository directly and treat the figures below as reported, cross-checked across more than one secondary source, rather than independently re-verified line by line.

The Weight Table: What X's Own Ranking Signals Say About Every Action

Two independently published breakdowns of the ranking code give overlapping but not identical numbers, and this guide reports both rather than picking one arbitrarily. The first describes raw model coefficients: sharing a post via a copied link scores +20, a reply and a quote each score +5, sharing via direct message scores +5, following the author scores +4, a generic share scores +2, a repost scores +1, and a plain like or favorite scores only +0.5 — the smallest positive weight in the table. On the negative side, the same source reports a report action at roughly -234, muting the author at roughly -58.8, and marking a post "not interested" at roughly -43.2, dwarfing every positive signal an ordinary post can realistically generate.

A second, separately published analysis expresses the same underlying idea as relative multipliers rather than raw coefficients: a reply is described as worth roughly 27 times a like, a reply that goes on to receive an author response as worth roughly 150 times a like, a quote tweet as worth roughly 25 times a like, a repost as worth roughly 20 times a like, a bookmark as roughly 10 times a like, and a profile click as roughly 12 times a like. The two sources do not map onto each other with clean arithmetic — a reply at "+5 versus +0.5" is a 10x relationship in the first source, not the 27x the second source reports — and this guide is disclosing that gap explicitly rather than smoothing it over. What both sources agree on, without exception, is the ordering: a plain like sits at or near the bottom of the value scale, and a reply that starts a real exchange sits at or near the top.

The published pipeline reportedly layers several other mechanics on top of the per-action weights: an out-of-network discount of roughly 0.75 applied to posts from accounts a viewer does not follow, an author-diversity decay of roughly 0.5 (with a floor around 0.25) that reduces the score of a second or third post from the same author appearing close together in a feed, a freshness filter that drops posts older than roughly 48 hours from For You consideration entirely, and an explicit new-author boost mechanism intended to test smaller accounts' content against a slice of the audience rather than burying it by default.

The Premium Reach Myth: What the Evidence Actually Shows

This is the section where marketing claims and documented code genuinely diverge, and honesty requires naming that rather than resolving it in whichever direction is more convenient for a services business. One technical breakdown of the current published weight table reports finding no separate variable for account subscription tier anywhere in the engagement-action coefficients described above — its account of the ranking code focuses entirely on content and behavior signals, not on whether the poster pays for Premium. A second source, describing what it calls the "heavy ranker" stage of the same pipeline, states that "the Premium subscription state is a feature in the heavy ranker model" with a visibility-boost multiplier applied to subscriber posts, but does not publish the actual coefficient value for that multiplier, leaving its size unknown. A third source cites an older, 2023-era open-source release as showing an explicit 4x boost for in-network Premium content and 2x for out-of-network Premium content, without confirming whether that specific multiplier still exists unchanged inside the 2026 code.

Layered on top of that disagreement is one observational study of roughly 18.8 million posts over twelve months, which measured Premium accounts receiving around six times the reach of free accounts and Premium+ accounts receiving around fifteen times the reach of free accounts — while explicitly flagging that this is correlational data without a controlled experiment, and separately noting that free-account median impressions fell over the same period, which the study's authors suggest may reflect deliberate platform throttling of non-paying accounts rather than (or in addition to) a Premium-specific boost. Put plainly: there is real evidence that paying for Premium correlates with more reach, weaker evidence for exactly why, and outright disagreement about whether that "why" lives inside the documented ranking code at all. Any claim that states a precise reach multiplier for Premium as settled fact is going further than the current evidence supports.

The Reply-Boost Mechanism: The One Documented Advantage

The one Premium-related mechanism every source describes consistently, with the least disagreement, sits inside conversation threads rather than the general For You feed. Reported detail describes a multiplier that pushes a Premium subscriber's own replies upward in the visible order underneath a post — landing them in roughly the third-through-eighth visible positions instead of the long tail of replies most viewers never scroll to. Sources describe this multiplier as conditional rather than guaranteed: it reportedly amplifies a reply that is already generating some engagement signal, rather than rescuing a reply that is generating none. For a brand or agency-managed account whose main X activity is replying to larger accounts, comment sections, or trending conversations to gain visibility, this specific mechanism is the most concretely documented reason a paid tier could matter, independent of the broader and less settled For You reach question above.

X Money in 2026: What It Is, and What It Isn't Yet, for India

X Money is the platform's in-app financial-services feature, built around peer-to-peer payments, deposit accounts, and Visa-linked debit cards, run in partnership with a chartered banking partner rather than as X Payments LLC's own FDIC-insured entity directly. After a period of internal and invite-only testing, X Money began a limited rollout to Premium and Premium+ subscribers inside the United States in late July 2026, reportedly widening through the following weeks with features including a physical debit card option, interest-bearing balances, cashback on eligible purchases, and no foreign-transaction fees on the card.

For Indian agencies, creators, and resellers managing X accounts, the immediate, honest takeaway is a limitation, not an opportunity: X Money has no announced India launch date, is gated to US-resident Premium and Premium+ subscribers, and cannot currently factor into any client strategy or monetization pitch built around Indian audiences. It is worth tracking as a 2026 development because X's own financial infrastructure ambitions can eventually reshape how creator payouts move through the platform, but any content or client advice that implies Indian users can access X Money today would be inaccurate as of this guide's publish date.

X Premium, Premium+, and Premium Business: 2026 Pricing

Individual subscription pricing, as reported for the web checkout tier (mobile app-store pricing runs higher due to platform fees), places a Basic tier around $3 per month, Premium around $8 per month, and Premium+ around $40 per month. Premium adds the blue verification checkmark, an increased reply-boost, creator monetization eligibility, reduced advertising, and Grok AI access. Premium+ adds the largest reported reach boost among the individual tiers, an ad-free For You and Following feed, full Grok access, the highest reported creator payout rates, and access to X Pro (the renamed TweetDeck).

Business-side verification is priced and packaged separately from the individual tiers. Reported 2026 figures describe a three-level structure: a Basic business tier around $200 per month, a Full Access tier around $1,000 per month, and a custom-quoted Enterprise tier with dedicated account management, alongside a separate Premium Organizations tier (aimed at government and institutional accounts) also reported around $1,000 per month but distinguished visually with a grey rather than gold checkmark. Business tiers add a gold checkmark, affiliate badges for partner accounts, impersonation-defense tooling, priority access to a handle marketplace for reclaiming inactive usernames, and — in at least one reported limited-time offer — advertising credits equal to 100% of the subscription cost as an introductory incentive. X has revised these prices before, so any of the figures above should be confirmed directly on x.com before being quoted to a client as current.

The Agency Playbook: Turning the Weight Table Into a Strategy

None of the above is useful to an agency or reseller unless it changes what gets recommended to a client. Three practical conclusions follow directly from the documented weight table and the disclosed uncertainty around Premium: first, content built to earn a reply — a genuine question, an opinion designed to invite disagreement, a thread that ends by asking something specific — is working with the algorithm's highest-confidence signal, while content optimized purely for likes is working with its lowest-confidence one, regardless of subscription tier. Second, the reply-boost mechanism is the one Premium benefit worth recommending on documented grounds alone, which makes it a reasonable upsell for a client whose account lives in comment sections and reply threads, separate from any broader reach promise this guide cannot fully verify. Third, the freshness filter and author-diversity decay argue for a steady, spaced-out posting cadence over batch-posting several updates at once, since a same-day cluster of posts from one account measurably discounts itself inside the documented pipeline.

Agencies quoting these recommendations to clients should pair them with the same 30-day UTM reporting framework already used for other platforms on this site, so that any reach or engagement change can be tied back to a specific tactic rather than attributed to the algorithm in general. Content built to earn replies is also, not coincidentally, the same kind of differentiated, non-templated writing covered in this site's own content writing and SEO plans breakdown — the ranking mechanics described here are a reason to invest in that kind of writing, not a reason to skip it. Readers who found this platform-specific ranking breakdown useful may also want the parallel look at how YouTube's own two-judge ranking and AI-citation system works, since the underlying lesson — that a platform's own documented signals rarely match the version marketed to advertisers — repeats across every major network this site has covered. Before choosing which panel or agency to trust with any of this work, this site's own five-KPI provider scorecard and SMM panel trust checklist are the honest starting points, applied to this platform the same way they apply to any other.

Methodology, E-E-A-T & Disclosed Bias

This guide is published by IndianSMMServices.com, an SMM panel that sells X/Twitter followers, likes, retweets, views, impressions, and poll-vote services among its 800+ listed services — a direct financial interest in the platform this guide is analyzing, disclosed here plainly rather than buried. That interest is precisely why the Premium Reach Myth section above reports genuine disagreement instead of a clean multiplier, and why the FAQ states directly that a like or follower package cannot manufacture the reply-and-conversation signal X's own documented weight table values most. The ranking-weight figures were sourced from two independently published technical breakdowns of X's ranking code, cross-checked against each other and reported as disagreeing where they disagree rather than merged into one invented number. The Premium reach-boost figures were sourced from three further independent write-ups plus one observational study, again cross-checked and reported with their stated limitations intact. X Money and Premium/Premium+/Business pricing details were sourced from contemporaneous 2026 reporting rather than X's own historically hard-to-fetch help-center pages, which return access restrictions on direct automated fetches; readers who want X's own primary wording on pricing or the ranking repository should check x.com and the platform's own developer documentation directly.

Limitations

This guide's single biggest limitation is stated above rather than hidden: the exact size of any Premium-specific ranking multiplier is not independently confirmed, sources disagree on whether it is even a documented code feature versus an observed side-effect, and the two weight-table breakdowns used here do not agree with each other on exact figures even though they agree on ordering. The observational 6x/15x reach study is correlational, not causal, and its authors say so themselves. This guide's author did not independently fetch or read X's raw ranking-algorithm source repository this session; all coefficients are reported as described by secondary technical write-ups, not verified line-by-line against the primary code. X Money details reflect a rollout that was still limited and US-only at publish time and may have changed by the time this is read. Pricing for all Premium tiers is reported as of research date and is explicitly flagged by more than one source as something X has changed before without notice — confirm current pricing directly on x.com before acting on any figure in this guide.

Frequently Asked Questions

Does X Premium actually boost algorithmic reach in 2026?

The evidence is genuinely mixed and this guide reports that conflict rather than picking a side. One technical breakdown of X's published ranking code found no separate account-tier variable in the core engagement-weight table at all. A second source describes a visibility multiplier for Premium subscribers inside the heavy ranker model, but does not publish the exact coefficient. A third, an observational study of 18.8 million posts, measured roughly 6x higher reach for Premium accounts and roughly 15x for Premium+ compared to free accounts, while explicitly cautioning that this is correlational, not a controlled experiment. The one mechanism with the clearest documentation is reply placement, not For You feed ranking generally.

What are X's real ranking weights for likes, replies, and shares?

Two independent breakdowns of X's published ranking system give different but directionally consistent pictures, and neither should be treated as the final word. One reports raw model coefficients where copying a post's link scores +20, a reply and a quote each score +5, following the author scores +4, a repost scores +1, and a plain like scores only +0.5, against much larger negative penalties for reports and mutes. A separate independent analysis expresses the same idea as relative multipliers: a reply is worth roughly 27 times a like, a reply that gets an author response is worth roughly 150 times a like, and a quote tweet is worth roughly 25 times a like. Both sources agree on the same core pattern: a like is the weakest positive signal, and a genuine reply-driven conversation is the strongest one available to an ordinary account.

Is X Money available in India yet?

No. As of this guide's publish date, X Money's rollout is limited to Premium and Premium+ subscribers in the United States who are 18 or older, following an invite-only beta and a wider phased launch that began in late July 2026. There is no published timeline for an India launch. Indian agencies and creators managing X accounts should treat X Money as a US-only development to watch, not a feature to plan around today.

How much does X Premium Business cost in 2026?

Reported 2026 pricing splits X's business verification into three tiers: a Basic business tier around $200 per month, a Full Access tier around $1,000 per month, and a custom-priced Enterprise tier with dedicated account management. This sits well above individual Premium (around $8 per month) and Premium+ (around $40 per month) on the web, and X has changed these prices before, so agencies should confirm current rates directly on x.com before quoting a client.

Can buying followers or likes improve X algorithm ranking?

Not directly, and this guide's own weight-table findings are the honest reason why. Every version of X's documented ranking signals treats a like as the lowest-value positive action and treats replies, quotes, and genuine shares as far more valuable. A follower or like package from an SMM panel, including the ones sold on this site, adds a social-proof layer that can make an account look more established to a human visitor, but it cannot manufacture the reply-and-conversation signal the ranking system actually rewards most. Agencies should budget for content that earns replies, not just accounts that look followed.

Who founded IndianSMMServices.com?

IndianSMMServices.com was founded by Kelvin Mark in 2019. Kelvin Mark continues to manage the platform, which has operated across 73+ countries with 800+ services since launch.

Where This Fits If You're Buying X Growth Services

Nothing in this guide argues against using follower, like, retweet, or view services on X — it argues for using them for what the documented evidence actually supports them doing: building a social-proof baseline that helps a genuinely growing account look established the moment a new visitor lands on it, not for gaming a ranking system that visibly rewards conversation over volume. Agencies and resellers who want to browse the current catalog of X/Twitter growth services — followers, likes, retweets, views and impressions, and poll votes, alongside the same catalog's Instagram, YouTube, and other platform categories — can do so directly, with the weight table above as the honest frame for what each service can and cannot move.

Ready to put a real posting and engagement strategy behind an X account instead of guessing at the algorithm? Explore IndianSMMServices.com's full X/Twitter service catalog, or get in touch through the site's support channels to build a combined content-and-growth plan for the account you manage.