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May 15, 2025 at 2:16 pm in reply to: How can I re-write my LinkedIn “About” section with AI? #108116
Jeff BullasKeymasterYou can absolutely outsource the first 80 % to AI and still keep your voice. Here’s a quick, no-fluff playbook:
1. Prime the model with raw ingredients
Feed the chatbot three things: a bullet list of career highlights (metrics, awards, client wins), the ONE problem you solve for your ideal reader, the tone you want (ex: “conversational but credible”).This context stops the model from defaulting to corporate waffle.
2. Use a layered prompt
Try:“Rewrite my LinkedIn ‘About’ section in 150-200 words. Open with a hook that speaks to {reader pain}. Highlight {three wins}. End with a casual CTA to connect. Keep it first-person, warm, and jargon-free.”
Then ask for two variations—one punchy, one slightly formal. Swap phrases until it sounds like you.
3. Run the draft through a profile optimizer
Taplio’s free Headline & Summary checker flags fluff and suggests stronger verbs.
Teal’s Profile Review Tool scores keyword density versus top performers in your field.Both spit out quick fixes you can accept or ignore.
4. Trim until every line earns its place
Shoot for 3–4 short paragraphs: hook, proof, personality, call-to-action. If a sentence doesn’t reveal benefit or character, cut it.5. Human-proof the final pass
Read it aloud. If you trip over a phrase or wouldn’t say it at a coffee meetup, tweak it. AI gets you close; authenticity lives in the last 20 %.6. Refresh quarterly
Job wins, media mentions, new skills—update while they’re fresh. A stale bio signals a stale brand.Tools worth bookmarking
Keyword Insights or Surfer for keyword clusters if you need search juice. (Surfer’s planner now bundles suggested keywords straight into the draft)
SocialBu’s LinkedIn Bio Generator for fast alternate angles if you hit writer’s block.Follow those steps and you’ll have a bio that sounds like you, not a template ripped from corporate HQ. Post the before-and-after in the thread when you’re done—we love a good makeover!
— Jeff
May 15, 2025 at 2:12 pm in reply to: Can I Batch LinkedIn Posts Without Sounding Like a Robot? #108112Jeff BullasKeymasterThe TL;DR: yes, you can batch… just don’t outsource the soul. Here’s how I keep it real for myself:
1. Separate “broadcast” from “conversation”
Schedule the broadcasts: thought-leadership posts, carousel drops, article links. A tool like Taplio, Buffer, or Hootsuite won’t hurt reach—the 2025 data says scheduled vs. native posting shows <2 % variance on average impressions when the content quality’s equal.
Show up live for conversations: reply to comments within the first hour, send connection notes manually, drop quick voice memos in DMs. That micro-interaction layer is what people feel as authenticity.
2. Batch but inject freshness
Write four posts Monday morning—but before each one publishes, skim the feed for trending hooks or news so you can update the intro sentence. Ten seconds of “today-izing” stops it feeling canned.
Leave space for at least one spontaneous post a week—audiences love the “in-the-moment” riff.3. Guardrails that keep you human
No copy-pasting the same comment under multiple posts; LinkedIn flags patterns and people smell it.
Use AI as a draft, not a stamp. Let ChatGPT spit the skeleton, then add your own story or analogy—readers hear that shift in voice.
Voice or video replies in DMs beat wall-of-text templates every time, and they can still be batched (record five in a row).4. Metrics to sanity-check authenticity
Comment-to-impression ratio—if it drops while reach stays flat, your tone’s slipping robotic.
Accepted-connection-request rate—should hover 30 %+ in your niche if the notes feel personal.5. When automation actually backfires
Auto-liking people’s posts at scale—easy way to get throttled or even restricted.
Sending more than ~100 identical DMs/day—LinkedIn’s abuse filter will tap you on the shoulder.
Posting at off-brand times just because the scheduler suggested “optimal”—if you never engage in that window, you’ll look absent.Bottom line
Batch the stuff that doesn’t require dialogue.
Reserve 30–45 live minutes per day (can be two 15-min sprints) for real engagement.
Let AI handle the heavy lifting, but give each touch your own fingerprints.Do that and you’ll save hours without turning into a LinkedIn chatbot. 👍
— Jeff
May 15, 2025 at 2:02 pm in reply to: AI vs. A/B—Can Machines Really Pick a Winning Subject Line Up-Front? #108108Jeff BullasKeymasterGreat question—everybody wants to skip the “test tax,” but here’s what the data (and our Vault experiments) show:
1. AI can narrow the field, not guarantee a champion.
Mailchimp’s Subject Line Helper, Phrasee, and similar models tap billions of past emails to flag risky words, ideal length, and tone. They’re good at weeding out obvious duds—our Vault members see about a 15-20 % average lift in open rates when they swap out the red-flag lines the tool identifies. That lines up with Salesforce Marketing Cloud’s 2024 study reporting a 34 % engagement bump after marketers adopted AI-guided subject lines.2. Real-world outcomes still vary by list and moment.
Nextdoor’s 2025 experiment is a perfect cautionary tale: their first round of AI-generated lines was a wash, only after a prompt tweak did they eke out a +1 % click-through lift—hardly a landslide.3. Small lists can’t rely on prediction alone.
Prediction models are trained on huge, mixed datasets. If you send to 3,000 subscribers in a niche with its own slang, a “high score” might still flop. For lists under ~10 k, even a micro A/B (10-15 % of the list, 4-hour send window) gives you safer intel than a blind send.4. Best practice:
Use AI as a filter. Generate or score 5-10 lines, keep the top two.
Run a light A/B. Send each contender to 10 % of your list; winner rolls out to the remaining 80 %.
Iterate the AI prompt. Feed wins and losses back into the model so its next batch is closer to your brand’s voice and audience quirks.Bottom line
AI is a smart co-pilot—it cuts ideation time and screens out losers—but a quick A/B is still the only way to know what your crowd will click today. Treat prediction as step one, not the finish line, and you’ll get the best of both worlds: speed and certainty.Hope that saves you a few headaches (and unsubscribes). Keep testing—just faster.
— Jeff
May 15, 2025 at 1:02 pm in reply to: What are some AI Tools for clustering long-tail Keywords into Topic Playlists #108104Jeff BullasKeymasterSam, you’ve got plenty of good options in 2025. Here are the ones we see Vault members using most, plus a quick DIY hack if you’re on a shoestring:
1. SearchAtlas – Content Planner
Punch in a seed term and it auto-builds dozens of keyword clusters ranked by difficulty, volume and intent, then lets you export an instant content calendar. Great if you want “topic playlists” ready in minutes.2. Keyword Insights AI
Upload your list; it compares SERP overlap and groups phrases that can rank together on a single page. You’ll get cluster tags, search intent labels and exportable CSVs. Ideal for avoiding keyword cannibalisation.3. LowFruits
Offers both SERP clustering (based on shared top-10 results) and semantic clustering (similar word patterns). Useful when you need quick wins—its UI highlights “low-competition” clusters you can tackle first.4. Surfer – Keyword Research / Content Planner
Surfer’s research tool now auto-groups related terms into clusters and shows aggregated volume + difficulty for each. Handy if you already use Surfer for on-page optimisation.5. Frase.io
Known for content briefs, but the keyword discovery panel will generate clusters with intent scores and suggested headings—you can feed those straight into its AI outline builder.6. Budget-friendly DIY
If you’re light on cash, drop your list into ChatGPT with a prompt like “Group these keywords by topical intent; give each cluster a short title.” Add the exported clusters to Google Sheets and colour-code them. It’s slower than the dedicated tools above, but still beats manual eye-balling.Quick tips before you dive in
Clean duplicates first—AI tools get cranky with messy lists.
Cluster depth matters: 5-10 keywords per playlist is a sweet spot for most blogs.
Revisit clusters every quarter; search intent can drift as algorithms and user behaviour evolve.Pick whichever fits your workflow and budget, then let the AI do the heavy lifting so you can focus on writing. Hope that clears the fog!
— Jeff
Jeff BullasKeymasterQuick snapshot of what I’m seeing across 20+ Vault creators (all views blended, USD):
Education $5–10
Digital/Marketing $10–15
Lifestyle / How-to & Style $3–6Why ranges swing so hard
Viewer geography – US & Australia routinely double CPM versus India or Brazil.
Ad inventory – Q4 holiday surge can bump rates 20-30 %.
Video length & format – 8-minute+ long-form lets you stack mid-rolls; Shorts CPMs are pocket change by comparison.
Advertiser fit – “Make money online” sub-topics inside marketing channels command finance-level bids.What you can pitch to sponsors:
Education channel: open with “Our ad-run CPM averages $8; sponsors typically pay 1.5–2× that for integrated reads.”
Marketing channel: emphasize the $12-15 floor and the buyer-intent audience—brands often pay CPA or rev-share here.
Lifestyle channel: lean on reach + brand fit; pure CPM is lower but the demographic breadth is attractive.TL;DR
If your dashboards look anything like the mid-range figures above, you’re right on target.
See a gap? Check geography mix and watch-time first—those two sliders move CPM faster than any other tweak.Hope that helps you price those sponsor decks with confidence!
— Jeff
May 15, 2025 at 12:46 pm in reply to: “Invite to Follow” ― Can Too Many Clicks Tank Your Reach? #108096Jeff BullasKeymasterMaya, you’re not alone. Short answer: there’s no proven reach penalty, but there is a built-in brake and a reputational risk if you push the feature too hard.
What Facebook itself limits:
Meta caps Page invites at 1,000 per day. Hit that ceiling and you’ll see a “you’re sending too many” warning—Facebook’s way of keeping mass invites from feeling like spam. That hard stop, not an algorithmic demotion, is the first watchdog.Why reach usually stays intact:
Inviting someone who already reacted to your content isn’t considered “engagement bait.” They’ve opted-in by liking the post, so the platform treats the invite as a relevance nudge, not manipulation.Where it can backfire:
If the outreach feels generic—people ignore or hide the invite en masse—Facebook may classify it with other annoying CTAs. Remember the 2024 guidance on “engagement bait”: content or prompts that pressure users for an action can hurt distribution. Repeated invites some users never accept look similar in spirit.Practical guardrails:
Invite only the warmest recent engagers (last 30 days).
Cap yourself at a few hundred a day—well below the 1 k hard limit.
Rotate: big invite push this week, none next week; watch your reach stats.
Personalize when you can (“Saw you loved our DIY reel—join the community here!”).Follow those cues and you’ll squeeze the growth benefit without setting off the spam radar—or your audience’s irritation meter.
Hope that steadies the nerves!
— Jeff Bullas
May 15, 2025 at 12:14 pm in reply to: Chatbots vs. Manual DMs — Which Converts Better in 2025? #108090Jeff BullasKeymasterShort answer: both work, but for different jobs. Here’s how the data breaks down.
1. What the numbers say
Chatbots: Businesses that add a Messenger/IG bot typically see ≈ 20 % lift in overall conversion after rollout.
Bots now handle up to 70 % of customer conversations end-to-end before a human ever jumps in.Manual DMs: Meta’s own small-biz snapshot showed local brands pushing conversation-to-purchase rates as high as 70 % when reps chat one-to-one.
In another case study, a retail brand that switched from auto-replies to human-led follow-ups logged a 50 % jump in lead conversions within three months.2. When chatbots win
Low-ticket products (< $100) where speed outranks rapport.
Off-hours coverage—you stay asleep, the bot keeps answering FAQs.
Simple funnels: quiz → coupon → checkout.3. When manual DMs win
Mid- to high-ticket offers ($150 +) that need trust-building.
Situations where the prospect drops a buying signal (“How does shipping work?”) and a real person can add nuance, voice memos, or a quick Loom.
Networking and collab outreach—humans notice personal details bots miss.4. The hybrid play we recommend
Bot greets & qualifies. Collect name, budget range, pain point.
Human takes over once the lead scores “warm.” A quick voice DM or personalized offer bumps the close rate.
Post-purchase bot. Automate delivery links, upsells, and support FAQs to keep your inbox sane.5. Budget & bandwidth check
If you have more time than money, manual DMs can squeeze out higher ROI per lead. If you’re scaling past 30-40 inbound chats a day, layer in a bot so quality doesn’t nosedive.
Bottom line:
Use a bot for the first 80 %—speed, segmentation, basic objections.
Let a human close the final 20 %—price discussion, objections, relationship.That combo keeps conversion high and protects your calendar. Hope it helps!
— Jeff
May 15, 2025 at 12:06 pm in reply to: What’s the best daily ad budget for testing Facebook ads in 2025? #108085Jeff BullasKeymasterHey Marco—Jeff here. Smart move asking before you start spending. Here’s the no-frills playbook we give Vault members:
1. Begin with AU $20–35 per ad set, per day
That range (roughly US $15–25) gives Meta enough data in three-to-five days to judge a creative without draining your wallet. Drop below AU $15 and the algorithm often stalls in the learning phase.2. Double-check the math against your CPM
Typical Australian prospecting CPMs sit around AU $10–20. At AU $12 CPM, a AU $30 daily budget buys ±2,500 impressions—plenty for early click-through signals.3. Use your target CPA as a guardrail
If your break-even cost-per-acquisition is AU $40, plan to spend about three times that (≈ AU $120) per day once you’ve found a winner and you’re ready to scale. During testing you can run leaner—roughly half your CPA (AU $20–40 per ad set per day) just to spot early front-runners.4. Ignore the “50 conversions per week” rule—for now
Meta still optimises best once you hit 50 conversions a week per ad set, but that’s a scaling metric. It’s fine if you’re below that while testing creatives.5. How to spread your AU $700 test budget
Days 1-4 — Run three ad sets at AU $30 each (≈ AU $90/day). Collect data and kill any obvious losers.
Days 5-7 — Shift spend to the top two ad sets; bump each to about AU $30 (≈ AU $60/day).
Days 8-10 — If one ad set is pulling cheap clicks and leads, push it up to AU $80–100 total per day and watch ROAS like a hawk.
Total outlay stays under AU $700 while every creative gets a fair shot.TLDR;
Sensible test budget: AU $20–35 per ad set per day.
Sanity check: Make sure impressions and clicks line up with AU $10–20 CPM and your desired CPA.
Scale only the ads that earn cheap clicks and quality leads—then raise spend with confidence.
Hope that keeps your cash safe from accidental bonfires. Go get those conversions!— Jeff
May 15, 2025 at 11:50 am in reply to: What is the best way to edit a YouTube Video into Instagram Reels? #108081Jeff BullasKeymasterRepurposing a 12-minute YouTube video into bite-sized Reels is one of the simplest ways to multiply your content without multiplying your workload. Here’s the steps we use:
1. Start with the transcript
Paste the YouTube link into Descript, Opus Clip, or Munch. Let the tool auto-transcribe and highlight the high-energy sound-bites. Scanning text is ten times faster than scrubbing video.2. Keep clips to 15-45 seconds
Instagram’s sweet spot is under 30 seconds for pure awareness clips. Push to 45 seconds only if the tip is pure gold. Anything longer usually tanks retention.3. One idea = one Reel
Break the long video into 5–8 standalone clips. Each clip should have:A hook
One clear takeaway
A micro-CTA (e.g. “Full deep-dive on YouTube—link in bio”)4. Edit vertical and add captions
1080 × 1920 aspect, speaker centred
Brand-coloured, burned-in subtitles (silent scrollers stay longer)5. Nail the first three seconds
Open with a bold claim, stat, or question. You’re fighting for thumb-stop time.6. Use a micro-CTA
Pin a short action: “Watch the full tutorial on YouTube” or “Save this for later.” Also add the YouTube link in your profile or a pinned comment.7. Release as a mini-series
Drop one Reel per day for a week. Label them “Part 1/5,” “Part 2/5,” etc.—the binge factor trains both audiences and the algorithm.8. Cross-post everywhere
Same file, fresh metadata: TikTok, YouTube Shorts, LinkedIn vertical feed—easy reach boost.9. Track two core metrics
Watch-time percentage – Aim for 60 %+.
Profile-visit-to-follow rate – 7 % or higher signals you’re attracting the right viewers.
Anything that beats those numbers is a candidate for a $5–$10 engagement boost.10. Iterate fast
After the first week, inspect the analytics: reorder weak hooks, swap thumbnails, or add quick B-roll where viewers drop. Tiny tweaks can add big retention gains.Tool stack cheat-sheet
Opus Clip – auto-splits and captions viral moments
Descript – text-based editing plus templates
CapCut / Canva – quick vertical resizing and branded overlaysFollow these steps and you’ll squeeze eight or more high-performing Reels out of every YouTube upload—no weekend-long edit marathons required.
Go repurpose and prosper! 💪
— JeffJeff BullasKeymasterHey there—Jeff here. First off, great job tracking the right numbers and staying allergic to bots. A few quick data points to anchor your goals:
What the current benchmarks say:
Typical weekly lift for professional-style accounts: ≈ 0.97 %–1.37 % (works out to roughly 4 %–6 % monthly)
Annual growth for micro-accounts (1 k–5 k followers): ≈ 38 % YoY; 5 k–10 k accounts average ≈ 35 %Given you’re sitting at 4.2 k, a sustainable, no-spam target is:
Monthly: ~5 % (≈ 210 new followers)
Annual: 30 %–40 % (ending the year around 5.5 k–6 k)
If you hit a couple of strong collabs or Reels that pop, you can absolutely double that, but treat it as upside—not the baseline.Metrics that matter more than the raw count:
Shares & DMs per 1 k reach – Instagram now weighs private shares heavily; they’re the new “super-like.”
Saves-per-reach – Aim for 0.5 %+. Carousels and tutorial Reels usually move this.
Profile-visit-to-follow rate – Track what % of reel viewers tap through and then follow; 7 %+ is solid.Levers to pull when growth plateaus:
Collab Reels with creators your size (or a hair bigger). Both audiences get the bump.
Story polls & quizzes that funnel into DMs—boosts the share signal and relationship factor.
Series content (e.g., “30-Day Growth Hacks”) so new viewers binge your back catalogue.
Micro-ads test: $5–$10/day targeting Reel engagers; great for nudging warm viewers to hit follow.Stay consistent, focus on content people want to send to a friend, and that 5 % monthly clip becomes very manageable—without a single shady tactic.
Cheering you on!
— Jeff
May 15, 2025 at 5:56 am in reply to: How often should I post on LinkedIn to stay visible (but not annoy people)? #108073Jeff BullasKeymasterGreat question — finding the right posting cadence on LinkedIn is key to sustainable audience growth without burning people out.
Here’s what works well for most creators:
3–5 posts per week is the sweet spot for visibility and engagement. This keeps your name consistently in feeds without overwhelming followers.
Daily posting can work too, if you’re mixing content types and adding real value. But quality > quantity. A poorly performing post can actually hurt reach for the next one.
Post type matters. Rotate through different types of content:
Personal stories → build connection and relatability
Value-driven posts (tips, frameworks, how-tos) → establish credibility
Engagement prompts → boost interaction (e.g. polls, open-ended questions)
Industry commentary → position yourself as a thought leaderEach type hits differently, so mixing them keeps your feed fresh and interesting.
Bonus: Use AI to test and refine. Tools like ChatGPT or Taplio can help you:
Generate post ideas based on your niche
Schedule content and see engagement patterns
A/B test hooks and tones to see what resonatesOver time, you’ll see what your audience leans into—and that can help you fine-tune your posting rhythm.
Pro tip: Don’t just post—engage. Commenting thoughtfully on other people’s posts (especially in your niche) can be just as powerful as posting yourself. It builds visibility and relationships without adding to your posting load.
Hope that helps! Happy to dive deeper if you want examples or tools.
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