The growth math nobody actually runs the numbers on
Almost every guide to growing on X (formerly Twitter) treats follower count as the metric that matters, and almost every operator who optimizes for follower count ends up at a dispiriting equilibrium twelve months in: a five-figure follower count, a four-figure impression count per post, and a single-digit count of conversations per week with anyone who could possibly become a customer or collaborator. The mistake is upstream of any tactic. Followers are a lagging indicator of a different metric, and the different metric is the one that compounds.
The metric that compounds is category-relevant reach impressions per week. That phrase has four words and each one is doing real work. Category-relevant means the impressions are landing on accounts who care about what you do — not on bots, not on sleeping followers from a viral hot take a year ago, not on fellow growth-hackers who scroll your post on autopilot. Reach means the algorithm decided to show your post to people who don’t follow you yet, which is the only path to net-new audience. Per week is the time scale that matches how the algorithm batches reputation; per-day is too noisy and per-month is too loose to course-correct from. A creator who hits 50,000 category-relevant reach per week with 800 followers is on a steeper growth curve than a creator who hits 2,000 category-relevant reach per week with 18,000 followers, and the two will trade positions inside a year.
Run the math on your own account before reading the rest of this playbook. Open your X analytics, divide last week’s impressions by 1,000 to get a rough k-impression number, then estimate what fraction of those landed on people in your category as opposed to drive-by scrollers. If the answer is “I have no idea,” you have already named the most important diagnostic — you cannot fix what you do not measure, and the X native dashboard alone will not surface category-fit reach without you doing the work. Pair the X numbers with a category-shaped tool like the X analytics view and a slow-burn quarterly pull from share of voice, and you will know within ten minutes whether your last month was growth or vanity.
The reason this framing matters: every tactic in this playbook is graded against category-relevant reach, not against the universal metrics most growth threads chase. Engagement-bait posts produce big impression numbers and almost no category fit. Reply guys collect followers from one viral reply and almost no category fit. Threadbots generate text that survives a few minutes in the algorithm and almost no category fit. The work that compounds is narrower, slower, and more boring on a per-week basis — and it is the only kind of work that ends up paying back in followers, in customers, in collaborators, and in the rare quiet outcome that nobody promises in growth threads: becoming legible inside your category as someone who knows what they are talking about.
The first 1,000 followers and the next 10,000 are two different games
One of the persistent failure modes of growth advice is the assumption that the same tactics that worked from 0 to 1,000 will work from 1,000 to 10,000. They will not, and the operator who keeps running the early-stage tactics into the mid-game is exactly the operator who plateaus around 1,200 and concludes that the platform is broken. The platform is fine. The game changed and they did not.
The mechanism is replies under bigger accounts in your category. Nobody knows you exist; the only way to become legible is to show up, with substance, in the threads of people who already are. Posts you publish on your own feed reach almost nobody at this stage; the algorithm has no signal to work with. Two-thirds of your weekly time goes to high-quality replies on 10-30 bigger accounts; one-third goes to your own posts.
A handful of those bigger accounts start replying to you back. A handful of their followers follow you. You begin to see profile-clicks-per-post rising even when raw impressions are flat. Followers tick up by 10-40 a week.
The mechanism flips. You now have enough audience that your own posts reach a meaningful number of category-relevant people every time, and the work is to become known for something specific within the category. Two-thirds of your time goes to your own posts and threads; one-third goes to replies, but the replies become more selective — under bigger accounts where your particular angle adds something the rest of the thread is not adding.
People in your category start sending you DMs unprompted with category-shaped questions. Your posts get quote-posted by accounts you do not yet follow. Your follower count starts compounding rather than ticking — 100-300 a week becomes normal.
The bridge between the two phases is the moment a few category-shaped accounts decide you are a known quantity. That moment is rarely a single viral post — it is more often the twenty-fifth time one of those accounts has read a sharp reply from you under a peer’s thread. The peer-game work compounds invisibly until that moment, and it pays off in the mid-game when the same peer accounts now retweet a thoughtful original post from you with three sentences of their own context attached. That kind of distribution is the single highest-ROI event in the whole 0-to-10,000 arc, and it is impossible to engineer directly. You earn it by running the peer-game phase faithfully for three to nine months.
The other thing that changes between the phases is the bio. The bio that wins under 1,000 is informal, opinionated, and specific to the kind of conversation you are joining. The bio that wins above 1,000 is positional — it names what you are known for and who you serve, with one or two credibility markers (a year-count, a notable customer, a number). Most accounts forget to update the bio when the game changes and lose 30-50% of their follow-rate from new visitors as a result. Use the bio generator to draft three positional variants once you cross 1,000, and run a one-week A/B by manually rotating them on your profile.
The four post shapes that actually compound for creators and founders
Of the post shapes that survive the algorithm and the audience patience curve in 2026, four are doing almost all of the compounding work for creators and founders growing in the 0-to-50,000 range. The other formats — selfie threads, motivational lists, day-counter posts, generic life-advice tweets — work occasionally for accounts that already have distribution, but they do not produce category-relevant reach for accounts that are still building it. Anchor 80% of your output around the four below and the other 20% around whatever feels alive in a given week.
A specific take on a category practice you reject, with the reason in plain language. “Most onboarding flows ask for company size in step 1, which is the single line that kills 12% of signups in our data. Move it to step 4 or kill it entirely.” The post should be defendable in the replies and provoke at least one credible disagreement. Sharpened opinions get quote-posted; mild opinions get scrolled.
One operational thing the reader can do differently after thirty seconds of reading. “If your X profile link goes to a homepage, swap it for a single-purpose landing page and watch click-through double overnight.” The constraint is that it must teach something the reader can act on the same day, not a vague principle. Specific verbs over inspirational nouns.
A quote-post on someone else’s tweet where you add at least 30 words of your own perspective — agreement, disagreement, an extension, a counterexample, a number from your experience. “This!” quote-posts compound to nothing. Quote-posts that add something travel to both audiences and double the reach surface of every post you engage with.
A short list (5-8 items) where one or two items are deliberately contrarian to category orthodoxy. “7 things I’ve cut from our marketing — including SEO content for the homepage.” Lists alone are tired; lists with a credible contrarian pick are still durable. The contrarian item is the engine; the rest of the list is the credibility setting that keeps it from feeling like clickbait.
Two operating notes on cadence. The four shapes above add up to about six posts a week, which is the right ceiling for an account in the 0-to-10,000 range. More than that and the signal-per-post degrades, the algorithm de-prioritizes you for crowding behavior, and the time budget required to actually engage with replies on each post becomes unmanageable. Less than three a week and the algorithm has too little signal to learn what you are about, and you stay in the cold-start zone past the point where the practice should be working. If a thread runs long, format it cleanly with the post formatter rather than letting it sprawl across awkward 280-character breaks.
The second note: post when category-shaped attention is available, not when generic platform attention peaks. For most creators and founders that is weekday mornings or mid-afternoons, but the only honest answer comes from your own data. Confirm with the best-time-to-post tool after a month of runs and adjust on the second month — most accounts find their best window is 60-90 minutes off from the platform-wide average.
The reply-on-bigger-accounts loop nobody talks about (until they grow)
If only one tactic from this playbook gets adopted, make it this one. The highest-ROI thirty minutes of a creator or founder’s growth program in 2026 is structured replies under the daily posts of 10-30 accounts that are 5-100x your size in your category. Almost nobody runs this with discipline because it is unglamorous, slow on a per-day basis, and impossible to attribute cleanly. It is also the single mechanism that most public-facing creator success stories used to get from zero to legible — and most of those creators have stopped doing it now that they are big, which is why they do not write guides about it.
The shape of a high-ROI reply
A high-ROI reply has three properties: it arrives in the first five minutes after the post is published (when the early-replies gauntlet decides reach), it adds something specific the rest of the thread will not add, and it never reads as flattery. “Great post! Bookmarked!” is invisible. “We saw the same shape in our data — except the drop happened at step 3 because of an unrelated copy change. Here is the chart” — is the kind of reply the original poster reads, the kind their followers click through to read more from, and the kind that adds you to a category-shaped reading list inside a week. Three good replies a day, every weekday, will outperform any “ten-step growth hack” thread on the platform.
How to build the watch list
Pick 15-25 accounts that meet three criteria: they post frequently (at least daily), they post about your category (not adjacent — your category), and they have an audience 5-100x your current size. Below 5x and the leverage is too small; above 100x and your reply gets buried under hundreds of others. The mid-band is the sweet spot. Set up a unified inbox with keyword monitoring for the recurring topics those accounts post about, and use mention tracking to catch when any of them mentions your handle (which they will start doing within months if the replies are landing). Filter the resulting reply queue through BotBlock so the time you spend on substantive replies is not eaten by spam-tier engagement; the 5-minute window matters too much to spend any of it triaging fakes.
The 30-minute discipline
Calendar block thirty minutes every weekday at the time when your watch-list accounts most often post (usually 7-10am or 1-3pm in their time zones). In the block, scan the unified inbox for newly-published posts from the watch list, pick the three or four that you have an actual specific take on, and write substantive replies inside the early-replies window. Skip the rest. The discipline is not in the volume — three good replies per day is plenty — it is in the timing and the substance. After ninety days of this practice, every account that has been in your reply rotation will recognize your handle without thinking about it, and the moment you publish a thoughtful original post, two or three of them will retweet it because your reputation in their replies has earned the assumption that you will be saying something worth distributing.
Six illustrative vignettes
The six vignettes below are illustrative composites — names, niches, and numbers are invented to convey shape, not data. Three are wins; three are failures. The failure cases carry most of the lesson and most growth playbooks pretend they do not exist, which is why so many readers nod through the win cases and walk into the failure cases anyway.
A solo developer with a small SaaS spends a year posting almost exclusively about Postgres index design — sharpened-opinion posts, teach-one-thing posts, and quote-with-substance replies under three or four bigger database accounts. Posting cadence is steady at five posts a week. The account grows from 200 to 18,000 in twelve months and the SaaS hits five figures in MRR almost entirely from the audience built in the same period.
What surprised them. The single largest growth event in the year was not a viral thread — it was a 35-word reply under a much bigger database account’s post about query plans. The reply landed in the early-replies window, said something specific, and got pinned by the bigger account. That single pin drove ~2,400 net new followers over the next three weeks, more than any of the dev’s own threads in the same period.
Lesson. Specialization compounds. The dev resisted advice to broaden the niche for a year, and the narrow positioning is exactly what made the audience legible to anyone who landed on the profile. The reply layer drove the breakthrough; the post layer kept the audience after they arrived.
A B2B SaaS founder commits to thirty minutes of replies a day for ninety days under twenty bigger accounts in her category. She publishes zero original posts in the first ninety days — the entire activity is replies. Follower count goes from 90 to 1,400 over the period, and her DMs include three legitimate inbound deals from accounts she had never heard of.
What surprised them. The DM source for two of the three deals was not the bigger accounts she replied under — it was lurkers who saw her replies in those threads and clicked through to her profile. Her bio (clear, positional, with a credibility marker) and pinned post (a thread she had drafted but not yet published) did the conversion work even though the active growth surface was entirely on other people’s posts.
Lesson. Replies under bigger accounts are a referral graph in disguise. The bigger account is the megaphone; the lurkers are the audience; your profile is the landing page. You can run the reply loop with no original publishing and still drive meaningful pipeline as long as the profile is positioned to convert profile-click traffic.
An aspiring creator commits to daily posting for a year, mostly motivational quotes, “hot takes” on entrepreneurship, and engagement-bait questions (“what’s your favorite productivity tool?”). Posting is daily, replies are minimal. After 365 posts, the account has 820 followers and exactly zero category-relevant DMs.
What surprised them. The audit at month 12 showed that 60% of the followers were other accounts running the same playbook — fellow motivational-quote posters following each other for reciprocal engagement. The follower count was real, the audience was not. Of the 820, fewer than 30 had ever clicked through to anything on the profile.
Lesson. Generic content collects generic followers, and generic followers do not convert into anything. The peer-game phase only compounds if the peers are in your actual category. Following-and-being-followed by other growth-hackers is a closed loop that cannot exit, no matter how disciplined the posting cadence.
A creator with talent at writing tries to combine three niches in one account: software engineering, ultrarunning, and parenting. Each individual post is good. Account grows from 0 to 2,300 in eighteen months and then plateaus hard. Engagement on every post stays in the 4-12 range despite individual posts occasionally going viral on Reddit or LinkedIn.
What surprised them. The X algorithm in 2026 cannot route a multi-topic account to any one audience effectively — it tries to find the modal interest, fails, and shows posts to a thinned-out random subset of all three. The same content split into three single-niche accounts would have produced an estimated 4-6x reach total, with the same posting effort.
Lesson. X rewards positional clarity even when the writing is good. If your account spans three niches, the algorithm will pick the one with the lowest engagement and grade you against that audience for everyone. Pick one niche on the main account; spin up alts for the others if you must run them; do not dilute the primary handle.
An indie creator hits 12,000 followers in two years through a steady run of teach-one-thing posts in a single creative niche. She launches a $300 course in year three. First-week revenue: $48,000. By year end the course has cleared $200,000 and the X account is the entire customer-acquisition channel.
What surprised them. An attribution audit showed that 70% of the buyers had been following her for more than a year before the launch. The course did not sell to her newest cohort of followers — it sold to the long-tail audience that had read her teach-posts faithfully across the entire build-up period. The launch ‘hype tweet’ window contributed less than 8% of revenue.
Lesson. X-driven course businesses run on a long-fuse audience model, not a launch model. The buyers are people who decided you were worth their money over months of consistent teaching, not people who got hyped up the week of the launch. Stop trying to engineer launch-week velocity; engineer twelve months of teaching and let launch week be the ceremony.
A founder posts a sharply political hot-take that goes viral. Account grows from 4,000 to 18,000 followers in a week. Twelve months later the account has 16,500 followers and almost no category-relevant engagement — the new audience came for the political content and stays only when the founder posts more of it, which is not the niche the founder cares about.
What surprised them. An attempt to return to the original category positioning produced the worst engagement metrics the account had ever seen. The algorithm had quietly recategorized the account based on the viral post’s audience signal, and category-relevant posts now reached fewer people than they had at 4,000 followers.
Lesson. A viral spike from off-category content is worse than no spike at all. The algorithm classifies you based on who engaged, not who you wanted; recovering category positioning after a misaligned viral moment can take six to twelve months of disciplined narrow posting. If you would not want 10,000 followers shaped like the people who engaged, do not post the thing that would attract them.
The pattern across the wins and the failures is consistent. Wins come from narrow category positioning, the reply loop run faithfully for at least three months, and a patience horizon measured in years rather than weeks. Failures come from generic content, off-category virality, multi-niche dilution, or sprinting on a per-week basis without a per-quarter view. None of the failure cases worked harder than the win cases — they worked at the wrong shape.
Six algorithm myths to ignore in 2026
The growth-hacker corner of X is in a permanent loop of recycling outdated algorithm beliefs that were partially true two years ago and are actively harmful today. Each of the six below is sold as gospel in some growth thread you will see this week. Each one will quietly suppress your reach if you build a habit around it.
The algorithm penalizes crowding behavior — too many posts from the same account in a short window are suppressed in followers’ feeds, not boosted. Three to six posts a week, with substance, outperforms thirty posts a week, with filler, by 4-8x on category-relevant reach in our reading of the public data.
Hashtags drive almost no organic reach on X in 2026 outside of branded campaigns and live-event surfaces. They consume tweet real estate that would be better spent on substantive copy and signal “growth-hacker” to anyone who lands on your profile. Skip them entirely on the main feed.
The algorithm has been detecting and suppressing engagement-pod patterns for years. Pods produce a small, low-quality reply burst, signal artificial behavior to the ranking system, and reduce the post’s organic distribution net. Plus the replies are visible to anyone who lands on the post and instantly read as fake.
Self-replies that say “follow me for more” or “here’s the link to subscribe” reduce engagement on the parent post by adding low-quality children. A single substantive self-reply with a related point can extend reach; a chain of CTAs cannot, and the algorithm seems to penalize the pattern.
Threads work when the topic genuinely needs the room. Threads on topics that fit in a single tweet underperform a tight single tweet by a large margin, because readers quit after tweet two and the algorithm reads the abandonment as a quality signal. Match the format to the content, not to a growth tactic.
Verification helps a small amount on reply visibility and algorithm priors, but it cannot rescue thin content. Verified accounts that post the same generic motivational content as everyone else get the same reach as everyone else. The verification subsidizes good work; it does not generate it.
The replacement frame for all six is the same: the algorithm in 2026 is mostly trying to identify what you are about, who finds your content valuable, and whether to keep showing it to those people. Tactics that try to game the surface are tactics that obscure that signal, and obscuring the signal is exactly what slows growth. Be legible. Post less, better. Reply selectively. Specialize.
Tooling: what to use and what to avoid for an under-10K account
The growth tooling market for X is enormous and almost entirely sold to people who do not need it. An account under 10,000 followers needs four things — a unified inbox for the reply loop, a set of monitors for category conversation, an analytics view that reads past native impressions, and a profile-tightening pass — and very little else. Pretty much everything else either accelerates the wrong work or actively suppresses growth.
What to use
A unified inbox for the reply loop
The thirty-minute daily reply window only holds if every newly-published post from your watch-list shows up in one place. Native X notifications miss most of the substantive content (you only get pings when the watch-list mentions you, which is rare). The shape is the one in the social-inbox use case — every relevant post triaged in a single pass — and the productivity unlock is real. Without it the reply loop quietly stretches to ninety minutes and dies.
Keyword and mention monitors for your category
The other half of the unified inbox is conversation discovery. Set monitors on the 10-20 recurring topics your category is currently arguing about, plus your own handle and product name (with the obvious typos). The category monitors surface opportunities to reply substantively under posts you do not follow yet but should; the handle monitors catch the unlinked screenshots and quote-posts that drive most of the unprompted growth in the 1,000-10,000 range. See Twitter-mentions-tracking for the standalone mention pattern.
Analytics that show category-relevant reach, not just impressions
X native analytics report impressions and engagement rate, which are useful but under-specified for growth. A purpose-built X analytics view that surfaces which post shapes drove the most profile-clicks (the leading indicator of follow-through) and which replies drove the most outbound traffic to your profile is the right artifact for an under-10K account. Pair quarterly with share-of-voice to track your category-positioning trajectory against a small basket of peer accounts.
A profile-tightening pass every 90 days
The profile is the conversion surface for every reply you write — readers who like a reply click through to the profile, scan it for ten seconds, and decide whether to follow. A profile that fails the ten-second-read test is the leak in the funnel most operators never patch. Run a profile audit quarterly and after any major positioning shift, and you will lift profile-to-follow conversion meaningfully without writing a single new tweet.
What NOT to use
Each of the categories below is sold heavily to creators and founders growing on X, and each one corrodes the program in a specific way. Refuse on sight, even if the demo is slick and the promise sounds plausible.
Follower-buying or growth-service services
The followers are bots and inactive accounts; the algorithm reads the engagement-rate divergence and reduces your organic reach to compensate; real category-relevant readers see a low-quality follower base on your profile and bounce. The downside compounds for a year after you stop, and the upside is fictional. There is no version where this is worth it.
AI thread generators selling “viral threads in seconds”
The output is detectably AI-generated within two sentences, reads as the same generic thread that 5,000 other accounts published this week, and signals to a real reader that nobody is home behind the account. Use AI for outline and editing; write the actual prose yourself, in your own voice, with the specifics only you have.
Engagement pods, reply trains, “growth circles”
Algorithmically detected and suppressed; visibly cringe to anyone landing on the post; ethically corrosive in a small way that adds up over a year. The artificial early-engagement they produce is exactly the signal the algorithm now down-weights, so you pay for the pod and get reduced reach in return. Skip.
Generic schedulers as the centerpiece of the stack
A scheduler is fine for batching weekly posts on a Sunday, but anchoring your stack around a publishing-first scheduler treats X as a broadcast channel — which is the failure mode this whole playbook is correcting. If you need a publishing tool, the Typefully alternative breakdown and the Taplio alternative breakdown are the right places to start. Anchor the stack around the inbox and the monitors, not the scheduler.
The 30-day starter plan + measurement
A working creator-or-founder X growth habit can be installed in thirty days. The plan below assumes one operator, no new headcount, and a budget of roughly five hours a week (heavier in week one for setup, then leveling at thirty minutes a day for the reply loop plus one ninety-minute weekly batch for original posting). The goal of month one is installation, not breakout — breakouts are a month-three-to-six event and rushing them burns the practice out before the compounding starts.
Profile, watch list, and the calendar block
Run the profile-tightening pass — bio, pinned post, primary link, header. Build the watch list of 15-25 bigger accounts in your category that meet the 5-100x size criteria. Set up the unified inbox with keyword monitors for your category’s 10-20 recurring topics and your own handle. Audit the result with the profile audit. Block a 30-minute weekday reply window on the calendar and treat it as a meeting that does not move.
Profile passes the ten-second-read test. Watch list of at least 15 accounts. At least 4 active keyword monitors. Reply window on the calendar daily. ~4-5 hours of work.
If the watch list feels thin, expand the size band slightly (3-100x instead of 5-100x) before broadening the topic. A list of 8 perfectly category-fit accounts beats 25 accounts where half are barely relevant. Quality of category-fit matters more than count.
The reply loop, every weekday, no original posting
Run the 30-minute reply window every weekday. Hit the early-replies window on at least 3 watch-list posts each day with substantive replies (≥30 words, specific, not flattery). No original posts yet — the goal is to learn the texture of category conversation and build a small reputation in the replies of bigger accounts before posting into the cold start. Most operators skip this week and start posting on day one; the reach is dismal because the algorithm has no signal to work with yet.
5 reply windows hit. At least 12-15 substantive replies under watch-list posts. 0 original posts. A read on which watch-list accounts engage back vs. ignore replies.
If the early-replies window is slipping, the issue is calendar — not motivation. Block the 30 minutes against the time the watch list most often posts (usually 7-10am or 1-3pm in their time zones). The window timing is roughly half of the value; reading the window late produces flat replies that the algorithm does not propagate.
Five posts, four shapes, every-day reply loop
Ship 5 posts this week, drawing from the four shapes from section 3: 2 teach-one-thing posts, 1 sharpened-opinion post, 2 quote-with-substance posts. Stack a 10-minute first-reply window after each post. If any post needs to thread, format with the post formatter rather than letting it sprawl. Continue the daily reply loop in parallel.
5 posts shipped, all 4 shapes represented, 80%+ of substantive comments answered inside the 10-minute first-reply window, daily reply loop running.
If the first-reply window is slipping past 30 minutes, you are publishing from a context where you cannot honor the window. Pre-schedule posts for times when you can be reading replies, treat the 10 minutes after each post like a meeting, and drop posts that you cannot service rather than publishing-and-ghosting. The first-reply discipline is the highest-leverage 10 minutes in the entire week.
Measure, decide, and stay in
Pull the numbers. Profile clicks. Replies written. Replies received from watch-list accounts (the leading indicator of category-positioning lift). Inbound DMs from category-shaped accounts. Followers (yes, but as a lagging indicator, not a goal). Decide which post shapes to keep in rotation, which watch-list accounts to drop (because they have not engaged back at all in the period and probably won’t), and what one positional adjustment to make to the bio for month two. Commit to ninety more days.
Month-1 metrics in a sheet. At least 3 watch-list accounts have engaged with one of your replies. At least 1 category-shaped DM. A working hypothesis on which post shape your audience responds to. Decision made on whether to stay in (yes, almost always).
If month 1 follower growth is in single digits, do not panic. The reply loop pays off on a 90-180 day curve, not a 30-day one. Tighten the watch list (drop the dead accounts), tighten the post mix toward the shape that drove the most profile clicks, and stay in. Quitting at month 1 forfeits ~all of the return. The compound is in the third and fourth months.
What to measure beyond the 30 days
Direct attribution understates X-driven growth the same way it understates word of mouth — most of the conversion path is invisible, lagged, and delivered via a profile click that nobody can trace cleanly. The reliable signals on a 90-180 day horizon are category-relevant reach impressions per week (the headline metric from section 1), the ratio of substantive replies to passive likes on your posts, the count of watch-list accounts that engage with you back without prompt, the category-shaped DMs per week, and the “heard about you on X” signal in any onboarding form you run. None of those land cleanly in a one-month window with statistical confidence, which is the entire reason the practice rewards a six-month commitment and punishes a four-week one.
The frame to leave with. Growing on X in 2026 is not a hack; it is a small set of disciplines run faithfully for long enough that compounding kicks in. Specialize narrowly enough that the algorithm can categorize you. Reply substantively in the early-replies window of bigger category accounts, three times a day, every weekday. Publish six high-substance posts a week across the four shapes. Tighten the profile every quarter. Refuse the tactics that gum up the signal. Run that for ninety days and the curve changes; run it for a year and the audience shows up. The creators and founders who win on X are the ones who stayed in past the point where most quit, doing the work that does not look glamorous on a per-day basis but compounds on a per-quarter one. Connect a free ReplySocial account, build the watch list, set the monitors, and put the reply window on the calendar. That is the entire program.
