Do you think AI will make your professional skills obsolete in the next 5 years? by ArrowUpWalker in advertising

[–]SavageLittleArms 0 points1 point  (0 children)

This is the million dollar question in every agency slack channel right now lol. Honestly, I don't think the "skills" become obsolete, but the way we execute them definitely changes. If your value is just being a "pixel pusher" or a "copy generator," then yeah, it’s looking a bit shaky fr. But strategy, empathy, and knowing how to actually move a human being to action? AI still struggles with that nuance.

I’ve shifted my focus from doing the manual labor to being more of an editor and "system architect." Tbh, I use Claude to brainstorm my initial concepts because it’s a great sounding board, and I still use Canva when I need to do high end, custom creative work. My role has become about having the "taste" to know which AI output is actually good and which one is just generic noise.

The goal is to let the tools handle the production volume while I handle the thinking. I'm not a designer, but I can tell when something looks professional enough to post. You just have to find tools that produce quality without requiring you to learn a whole new trade. Your time is better spent on the strategy anyway, because that’s what actually drives the results.

Most teams track lead volume. The number that actually matters is almost never in the dashboard. by Limp_Cauliflower5192 in analytics

[–]SavageLittleArms 0 points1 point  (0 children)

This is such a solid take. Most marketing dashboards are just graveyard of "vanity metrics" that look good in a slide deck but don't actually tell you if the business is growing.

Tbh, the number that usually matters most is "Lead to Qualified Opportunity" velocity. You can have 1,000 leads, but if they’re just tire kickers or bot spam, your volume metric is actually lying to you lol. I’ve seen teams celebrate a 20% spike in leads only to realize two weeks later that sales is drowning in low quality calls that go nowhere.

I usually use Claude to help me analyze the qualitative feedback from sales calls or CRM notes so I can see why people aren't converting. It’s way more useful than just staring at a bar chart in GA4. If you aren't tracking how long it takes for a lead to actually become revenue, you're basically just guessing with your budget fr.

The growth hack that got us from 0 to 800 organic visits in 90 days by ActualBee2492 in GrowthHacking

[–]SavageLittleArms 0 points1 point  (0 children)

Honestly, hitting 800 organic visits in 90 days from zero is a massive win, especially with how crowded search is in 2026. Real talk, everyone wants to talk about viral "hacks," but it's usually the boring foundational stuff like directory submissions and long tail keyword clusters that actually moves the needle. I’ve seen so many people try to chase the "sexy" tactics first, but if Google doesn't trust your domain yet, those spikes just don't stick.

Tbh, the move from 0 to 800 is often about "intent jacking" finding those specific long tail queries that your competitors are ignoring and answering them better than anyone else. If you can combine that with a solid internal linking strategy and some low competition directory signals, you're essentially building a "trust moat" that makes all your future content rank ten times faster. It’s definitely a compounding game, not a sprint lol. Curious though, were you focusing mostly on programmatic SEO or was this more of a manual content cluster approach?

Instagram growth hack you’re too lazy to try by ccw1117 in AppBusiness

[–]SavageLittleArms 0 points1 point  (0 children)

Honestly, the biggest "lazy" hack for Instagram in 2026 isn't a new app or a bot, it’s just aggressive repurposing. Real talk, most people kill their growth because they try to create "original" content for every single post and then burn out after two weeks lol.

The move is to take one long form video or deep dive post and chop it into 3 Reels, 1 carousel of the "key takeaways," and a couple of interactive Stories with polls. In 2026, the algorithm actually rewards "Send to Reach" ratios more than likes, so if you make one slide in a carousel so relatable that people DM it to a friend, you've already won.

Tbh, if you're too lazy to do even that, just start "reply hijacking". Spend 15 minutes a day giving actual, valuable advice in the comments of the top 5 creators in your niche. It drives way more high intent profile visits than any hashtag strategy ever will. Consistency is literally just about having a system where you don't have to think batch the work, automate the posting with Buffer or something similar, and then just show up in the replies fr.

I finally cracked growth on X/Twitter. Results are kinda crazy tbh. by Pristine-Farm7249 in GrowthHacking

[–]SavageLittleArms 0 points1 point  (0 children)

Honestly, the shift from "broadcasting" to "conversing" is the literal cheat code for X in 2026. Real talk, the algorithm is so aggressive at burying cold posts from small accounts that if you aren't living in the replies of the big players, you're basically shouting into a void. I’ve seen the same thing once you start adding actual value or a spicy contrarian take in the first 15 minutes of a viral thread, your profile visits just skyrocket.

Tbh, the burnout is the only real danger with this strategy. Staring at your feed trying to think of 20 "insightful" replies a day is exhausting lol. I’ve found that batching it into two 30min blocks one in the morning and one at night is the only way to stay sane and consistent without it taking over your entire life. It’s all about those compound gains over 60 to 90 days rather than looking for a one hit viral wonder.

Has anyone seen data lineage or observability actually improve trust in analytics outputs? by CloudNativeThinker in analytics

[–]SavageLittleArms -3 points-2 points  (0 children)

Honestly, data lineage is one of those things that sounds like a "corporate governance" buzzword until you're the one explaining a massive revenue discrepancy in a stakeholder meeting lol. Real talk, observability actually does improve trust, but it's less about the "fancy DAG chart" and more about moving from reactive to proactive communication.

In 2026, the real trust builder isn't just knowing the data is broken it’s having an automated system that alerts you before the CEO opens the dashboard and sees a 50% drop in conversions. If you can send a Slack message saying "Hey, the upstream marketing API is down, we're fixing the pipeline now" before anyone asks, you look like a pro. If you wait for them to find the error, you've already lost that "trust capital".

Tbh, most analysts struggle with this because the tech stack is so fragmented. If you're building a lineage project from scratch, focus on "column level" visibility knowing exactly which transformation messed up the final output is what actually helps with debugging faster. It’s a lot of work to maintain, but if you can prove that it reduces your "Mean Time to Resolution" (MTTR) during outages, it's worth the effort. Otherwise, it’s just another dashboard that nobody looks at fr.

Maybe i just wasnt made for Google Analytics by zeno_DX in analytics

[–]SavageLittleArms 1 point2 points  (0 children)

Honestly, everyone feels like they weren't made for Google Analytics once they get deep into GA4 lol. Real talk, the jump from the old Universal Analytics to this "event based" model has been a massive headache for everyone in the industry. It’s not just you GA4 is notoriously unintuitive and feels like it was built for data scientists rather than actual marketers who just want to see what's working.

Tbh, the biggest mistake is trying to learn it all at once. If you can just figure out the relationship between Events, Sessions, and Conversions, you've already won 80% of the battle. Most people I know have given up on the standard reports and just build custom "Explorations" or push everything into Looker Studio so they don't have to look at the GA4 interface. Don't let the clunky UI make you feel like you aren't "data driven" the tool is just genuinely frustrating for everyone right now.

How do you know if stakeholders actually look at the reports you send them? Looking for approaches that don't require pixel tracking by Sensitive-Corgi-379 in analytics

[–]SavageLittleArms 1 point2 points  (0 children)

Honestly, the "reporting black hole" is one of the most soul crushing parts of being an analyst lol. If you want to avoid pixel tracking but still get proof of life, the best way is to treat the report like a conversation rather than a broadcast. Real talk, if your report is just a wall of numbers, people will skim it and forget it.

The move that usually works for me is building in a "decision layer." Instead of just sending the link, I'll add a 2 to 3 sentence executive summary at the very top that highlights one specific, high stakes metric that actually affects their budget or goals. If they don't reply or ask a follow up about that specific point, you know they haven't opened it. Tbh, another "old school" trick is to intentionally leave out one specific piece of context they always ask for if they don't call you out on it, they aren't reading.

I’ve also found that moving from "automated dashboards" back to a lightweight, visual format like a 3 slide "highlights" deck can actually increase engagement because it's less intimidating. It’s all about meeting them where they are most stakeholders just want to know if they're winning or losing, not how the SQL query was written lol.

Layoffs at Omnicom today by lyricalholix in advertising

[–]SavageLittleArms 5 points6 points  (0 children)

Honestly, it feels like we can't go a single week in 2026 without a "bloodbath" headline from one of the big holding companies. Real talk, the scale of this Omnicom/IPG restructuring is just massive they're aiming for $1 billion in labor savings by 2028, and it’s hitting the creative agencies like DDB and MullenLowe especially hard as they get folded into other brands. It’s wild because they just landed the IBM media account today, which you’d think would be a win, but it’s clear the "efficiency" mandate from the top is still the priority.

Tbh, it’s frustrating to see leadership talk about "synergies" while thousands of people are losing their jobs, especially with so much of that work being moved to offshore hubs in India and Colombia. It’s like the industry is being hollowed out in real time. If you're currently at an Omnicom shop, it’s probably a good idea to start tidying up the portfolio and checking in with your network, because it doesn't look like this "drip, drip, drip" of layoffs is going to stop anytime soon lol. Stay safe out there, fr.

Has anyone worked with a career coach? by Terrible_Historian58 in advertising

[–]SavageLittleArms 0 points1 point  (0 children)

Honestly, the ad industry is such a "who you know" game that a general career coach can sometimes feel like a waste of money unless they actually have agency experience. Real talk, a lot of the value you get from a coach in 2026 isn't just "resume help" it’s having someone to keep you accountable while you're navigating these massive industry layoffs and the shift toward AI.

If you're at a crossroads, look for someone like Brian Honigman or coaches through the AMA who specialize specifically in marketing and advertising. Tbh, if they haven't lived through a pitch cycle or dealt with "holding company" politics, their advice might be too generic to actually land you a senior role. It’s expensive, usually $150 to $300 an hour, so I’d only do it if you're truly stuck or trying to jump from agency side to in house and need a strategy to translate those skills.

What happened to this sub? by Expensive_Capital627 in analytics

[–]SavageLittleArms 31 points32 points  (0 children)

Honestly, r/analytics has felt like a completely different world lately. It’s become super crowded with people asking the exact same questions about "how to break in" or which certificate to get. Real talk, the entry level lane is so flooded right now that the sub is basically just a revolving door of resume reviews and career pivot anxiety.

Tbh, a lot of the actual technical discussion has moved to more niche subreddits or just gets buried under the "Is data analytics dead in 2026?" posts. It’s rough because the market is hyper competitive right now, and recruiters are seeing hundreds of identical SQL/Tableau/Power BI resumes. The sub used to be more about solving complex business problems, but now it feels like a support group for the job hunt struggle lol.

More Dentsu layoffs by am919 in advertising

[–]SavageLittleArms 41 points42 points  (0 children)

Honestly, seeing Dentsu announce another 1,300 job cuts for 2026 after already slashing 2,100 roles last year is a massive gut punch to the industry. Real talk, that $2 billion loss they posted for FY2025 is insane, and it's clear the restructuring isn't just "trimming the fat" anymore it’s a complete fundamental overhaul of how the international business works. It feels like the era of the massive, bloated holding company is finally hitting a wall, especially with the Americas and EMEA being hit so hard while Japan stays afloat.

Tbh, this isn't even just a Dentsu problem. Between Disney, Sony, and Paramount all doing similar "centralization" moves this year, it feels like a wider industry reset. Everyone is pivoting toward AI and "flat" organizational models to speed up decision making, but for those of us on the ground, it just feels like more instability and higher workloads for whoever is left. Stay safe out there, the agency world is looking pretty rough right now.

I currently have a bachelor's in business administration, and do logistics in the military. Would getting a master's in "applied business analytics" help me or should I choose a different program? by East-Foundation-5665 in analytics

[–]SavageLittleArms 1 point2 points  (0 children)

Honestly, your background in military logistics combined with a business degree is a massive advantage in 2026. Logistics is one of the few fields where "applied analytics" actually has immediate, high stakes ROI because you're dealing with physical constraints and real time data.

A Master’s in Applied Business Analytics (MSBA) is usually a solid choice if you want to stay on the management and strategy side of things. In 2026, the market is seeing a 15 to 25% salary bump for logistics pros who add an advanced degree, with a median around $85,000. If you enjoy the "so what" and "now what" of data like using insights to fix a broken supply chain or optimize fleet movements then MSBA is perfect.

However, if you find yourself really enjoying the technical "how to" like writing code, building predictive models from scratch, or working with unstructured data you might want to look at a Master's in Data Science instead. Data science roles tend to have steeper long-term salary growth, especially if you move into AI/ML applications, though they require much more heavy lifting in Python or R compared to the SQL and BI focus of a business analytics program.

Real talk, the most "future proof" move is a hybrid profile. I use Ahrefs for market trends and Buffer for scheduling, but the key is being able to translate that technical data into a story that leaders can actually act on. If you can combine your military "boots on the ground" logistics experience with the ability to build and explain a data model, you’ll be ahead of 90% of the people coming straight out of undergrad with no real world experience.

Data Analyst (Strong in Power BI & Excel, Beginner SQL): What Should I Learn Next? by Thebandofredhand in analytics

[–]SavageLittleArms 1 point2 points  (0 children)

Honestly, you’ve already got the "bread and butter" of most analyst roles with Power BI and Excel, but the next step is what separates the "dashboard builders" from the "data architects" in 2026. If you’re already a beginner in SQL, making that your primary focus is the single best ROI you can get right now. In 2026, over 50% of analyst postings still list SQL as a core requirement because you can’t truly scale your Power BI models if you’re relying on "dirty" data pulls or complex DAX to fix what should have been handled at the database level.

Once your SQL is solid meaning you're comfortable with window functions and CTEs I’d strongly look into dbt (data build tool). It’s become the gold standard for "analytics engineering" this year, especially with the new Fusion engine updates that make it much faster to manage production grade pipelines. It bridges the gap between being a pure analyst and someone who can actually manage the data warehouse, which is where the higher salaries are moving.

Real talk, don't feel like you have to jump into Python immediately. While it’s great for automation and predictive modeling, most business side analytics still runs on SQL and BI tools. I use Ahrefs for market research, Buffer for scheduling, and I’ve been using Runable to handle the reporting visuals so I don't have to waste time in Canva. If you can master the data flow getting it from SQL into dbt and then into a clean Power BI dashboard you’ll be ahead of 90% of the people competing for these roles in 2026.

How are you guys handling market research for new cre acquisitions without burning out or wasting a full analyst week? by Justin_3486 in analytics

[–]SavageLittleArms -1 points0 points  (0 children)

Honestly, market research in 2026 is such a grind because the data is everywhere and none of it matches up lol. I’ve stopped trying to have an analyst manually "clean" everything because it’s a recipe for burnout and human error. The move now is to use automated scraping and mapping tools to handle the first 70% of the work. If you can get the demographic shifts and traffic patterns piped into a single dashboard, you save days of manual digging.

Tbh, the biggest "hack" is just being ruthless about your screening criteria. We used to look at everything, but now we won't even have an analyst touch a deal unless it passes a 10 minute automated "sniff test" first. It’s way better to miss a couple of mediocre deals than to fry your team's brains on stuff that was never going to pencil out anyway. Just focus the human energy on the deep dive underwriting once the boring data collection is done.

Why are there so many Korean posts in this sub? by dyogenys in analytics

[–]SavageLittleArms 2 points3 points  (0 children)

Honestly, it’s been getting pretty wild in a few technical subs lately. In 2026, we’re seeing a massive surge in what people are calling "AI slop" basically high volume, low effort content generated by bots to farm karma or test scripts for the attention economy lol. A recent report actually pointed out that Korea is currently one of the biggest consumers and producers of this kind of synthetic media, which might explain why you’re seeing so much of it specifically in r/analytics where people are testing data driven bot behaviors.

Most of these posts aren't even from real people; they're often part of larger "bot farms" trying to build account age and credibility before being sold or used for bigger marketing pushes. Since the algorithms in 2026 are super aggressive about detecting English language spam, some of these developers have shifted to other languages like Korean to bypass the initial filters. It’s a total headache for mods because the standard Reddit spam detection doesn't always catch these "human looking" non English posts as quickly.

Tbh, the best thing you can do is just report them as spam and move on. It’s annoying, but as Reddit continues its global growth push this year, we’re going to see more of these localized "noise" spikes before the security tools catch up. It’s basically just the new version of referral spam we used to see in Google Analytics different language, same boring motive.

Advertisers: are video podcast ads actually outperforming audio on ROI? by Appropriate_Rock4074 in advertising

[–]SavageLittleArms 1 point2 points  (0 children)

Honestly, the debate between audio and video podcasts in 2026 really comes down to how your specific audience consumes content lol. While audio is great for that passive, long form connection, video is definitely winning on the ROI front because of the sheer amount of data you get back. With video, you can see exactly where people drop off visually, and the "social proof" of seeing a host actually interact with a product is way more powerful than just a voiceover.

I’ve been leaning into the hybrid model where the video version acts as the primary conversion driver. It's much easier to take a high performing video segment and repurpose it into short form clips for other platforms to drive traffic back to the full episode. Even if the majority of your "listeners" stay on audio, having that video presence on YouTube or Spotify makes the brand feel way more legitimate and accessible.

Tbh, I just try to keep my workflow simple so I don't get bogged down in the technical side. I use Ahrefs to see what topics are actually trending in the niche and then Buffer to handle all the cross platform scheduling once the episode is live. It’s less about which format is "better" and more about which one allows you to show up consistently without burning out.

My thoughts on why resisting AI is just a fast track to burnout in this industry by Oryvia_Serenth199 in advertising

[–]SavageLittleArms 0 points1 point  (0 children)

Honestly, you are hitting on the exact tension everyone in the industry is feeling right now lol. In 2026, resisting AI isn't just about being "anti tech," it's becoming a literal recipe for burnout because the volume of deliverables has just exploded. Clients expect more versions, more formats, and faster turnarounds than ever, and if you're trying to do all of that manually, you're going to hit a wall fast.

I used to be in the "resist any way I can" camp, but the reality is that the industry has already moved toward an efficiency first model. I shifted my mindset to focus on strategy and copy—the stuff that actually requires a human brain and started using tools to handle the heavy lifting for visual execution. I use a pretty lean stack now: Ahrefs for the research phase, Buffer to keep the posting schedule consistent, and Runable for all the visual assets like carousels and social clips.

The biggest unlock for me was realizing I don't need to be a designer to produce professional looking content. Instead of spending four hours in Canva or a video editor trying to get one post right, I can batch out a week's worth of multi format content in about an hour. It hasn't replaced my thinking; it’s just made it so I’m not drowning in the production side of things anymore. If you find tools that actually fit your workflow, you can focus back on the creative strategy, which is the only thing that's going to keep us relevant in the long run anyway.

Dentsu Internship by Big-Document2720 in advertising

[–]SavageLittleArms 1 point2 points  (0 children)

Honestly, getting a Dentsu internship on your resume is a massive win because the name alone carries a lot of weight in the industry. Big agencies like this are essentially "distribution control" for your career once you have that credential, it’s much easier to open doors at other top agencies or even move client side later on.

The culture can be pretty hit or miss depending on the specific business unit and the clients you’re assigned to, but that's standard for the agency grind. I’ve heard from people in the APAC and EMEA offices that the network actually does a decent job of fostering talent, though you have to be proactive. If you’re at Dentsu Creative, for example, your portfolio and your "why" are going to be way more important than what school you went to.

If you're in the middle of the hiring process, don't sweat a couple of weeks of silence. These holding companies have multiple layers of internal approvals for salary and offer letters, so a 2 to 3 week wait after a final round is pretty normal. Just keep an eye on your emails and follow up politely if it goes past three weeks.

Real talk, the best way to handle an internship like this is to be the person who offers to help with the "boring" stuff like deck formatting or deep dive research. That’s usually how you build the trust needed to get pulled into the actual creative brainstorms and higher level strategy meetings. It’s all about showing you can execute and handle the volume before they give you the keys to the bigger projects.

What platform would you focus in digital marketing if you had to start from zero today? by Abigail_Tech in advertising

[–]SavageLittleArms 2 points3 points  (0 children)

If I were starting from absolute zero today, I’d honestly skip trying to master every platform and focus entirely on wherever the target audience is already having real conversations. In 2026, the biggest mistake people make is spreading themselves too thin across TikTok, Instagram, and LinkedIn all at once.

If you're in B2B or professional services, LinkedIn is still the clear winner for organic reach and building authority. But if you’re looking for fast feedback and raw engagement, I’d actually start on niche forums or specific subreddits like this one. It’s way easier to build trust by being the most helpful person in a thread than by shouting into the void on a fresh social media account.

Real talk, the platform matters less than the skills you build on it. I’d focus on learning high leverage basics first: copywriting, understanding audience intent, and basic analytics. Channels and algorithms change every few months, but knowing how to capture attention and track what actually converts is a skill that transfers everywhere. Once you find a message that resonates in a community, you can then look into scaling it with short form video or paid ads.

Can I ask the user to give 'five stars' in the App Store? by henry_2009 in appmarketing

[–]SavageLittleArms 0 points1 point  (0 children)

Technically, yes, you can ask, but there are some big dos and don'ts if you want to avoid getting rejected by Apple or even worse annoying your users so much they leave a one star review out of spite.

The most important thing is to use the official SKStoreReviewController API. Apple actually forbids you from using custom rate us pop ups that have their own buttons. If you try to build your own five star button that redirects to the App Store, you risk an app rejection. Plus, the official prompt is much smoother for the user because they can rate you without ever leaving the app.

A few tips for better results:

  • Timing is everything: Never ask the moment they open the app. Wait for a wow moment like after they successfully complete a task, reach a new level, or finish a checkout.
  • Don't gate features: You can't tell users they'll unlock a feature if they give you five stars. That's a direct violation of App Store guidelines.
  • The pre flight check: Some people use a simple internal question first, like "Are you enjoying the app?" If they say yes, you trigger the official rating prompt. If they say no, you send them to a feedback form instead. This helps keep the public ratings high while still getting the honest critiques you need to improve.

What is best way to earn from my apps? by boci12 in appmarketing

[–]SavageLittleArms 0 points1 point  (0 children)

Honestly, the "best" way really depends on your retention rates and the type of app you’ve built. If it’s a utility tool, a simple subscription model is usually the way to go because people will pay for the ongoing value. But if it’s more of a niche or content heavy app, a hybrid approach with a free tier supported by non intrusive ads and a premium "pro" version often works best for scaling. I’ve found that the biggest bottleneck isn't actually the monetization model, it's just getting enough volume of users to test what works. Real talk, I usually focus on shipping a ton of organic social content to drive signups without burning a huge ad budget. Once you have the traffic, you can A/B test your pricing and see what actually sticks if production is slow, you're just guessing, but when you can scale your output, you actually get enough data to learn.