r/content_marketing

A lot of small business owners and creators assume that if the content is valuable, the audience will find it. Then they watch posts get a handful of views, little engagement, and no meaningful results.

The issue usually isn't content quality it's audience alignment.

Many creators focus on what they want to say instead of what their target audience is actively searching for, struggling with, or interested in right now. As a result, the content reaches people who don't care, while the right people never see it.

Before creating content, start with the audience:

* Identify their biggest questions and frustrations. * Use the language they actually use. * Match content formats to where they spend time. * Focus on solving one specific problem per piece of content.

Content performs best when it's built around audience needs, not creator assumptions.

Have you ever had a piece of content you thought was great completely flop? What do you think was the reason?

After being made redundant last year, I've finally found a new role.

I'll be moving in-house to look after the content for a manufacturing and installation business, with an incredible on-site factory. Think kitchens, but not that.

I did well in the interview, but now that my start date is looming, I'm feeling woefully underprepared.

Most of my agency content marketing work has been written stuff, but also video interviews, cinematic storyboarding picked up by a video team, and, previously, some journalism and magazine work.

As far as I know, I won't need to spend too much time on the analytics side of things, more just on pure content production. There's room for video, social and written work.

Right now I'm thinking I need to really nail the ToV of this place early on. Get that sorted, then move on to a content plan.

That's a very roundabout way of asking whether anyone has any tips if you were in my position. Any in-housers who've made a similar switch got any ideas for me?

One thing Reddit taught me recently:

Specificity matters more than I expected.

I wrote an essay connected to Jordan Mechner’s Prince of Persia journals. If I framed it as a general essay about creativity or long-term projects, it was easy to ignore.

But when I shared it with communities that already had context, it worked much better.

Retro game people had a reason to care.
Vintage computer people had a reason to care.
Notebook people had a reason to care.
People interested in long creative projects had a reason to care.

Same core idea. Different doorway.

That changed how I think about distribution.

I used to ask: where else can I share this?

Now I think the better question is: where are people already likely to care?

Would be curious how others think about matching an idea to the right room.

Anybody up for online meetups discussing the good books in marketing / branding?

Been reading books across different areas of marketing : word of mouth, public relations, community building, experiential marketing etc. Thought it'd be fun to have a meetup with like minded folks to discuss ideas and see how we can apply them in the real world.

If interested, please DM.

I'm gonna start content creation on Linkedin and Instagram and want to create short videos explaining software engineering topics. Which noise cancellation mic I can use at starting which should be budget friendly?

Just asked Claude to analyze my social posts for the first half of 2026, and what it came back with was absolutely dumb.

Let's be honest. A.I. chat engines aren't good at analyzing data.

They often draw the wrong conclusions. They conflate data points that are tangential and try to make it into a meaningful trend. They show all kinds of blind spots about what's really important.

Don't get me wrong. I use Claude for quite a few workflows in my marketing agency. I just don't think it works well for direct data analysis.

Effective data analysis requires a system that knows how to map and pull the data, then put it into a coherent framework and dashboard.

There are plenty of good business intellegence tools for this. I've had good luck with Databox, which was founded be a former HubSpot executive.

What has been your experience with using A.I. for data analysis?

Ideation sometimes slows things down. There are days when ideas feel easy, and other days when everything feels repetitive and hard to shape into something useful. Distribution also feels inconsistent, since what works in one channel does not always work in another.

How do you deal with this? Do you feel one part is clearly harder than the others, or does it change depending on the project or client work you are doing?

Everyone asks "what's the best AI writing tool" and the honest answer is: wrong question. I went through 10 of them recently comparing output quality, SEO features, accuracy, and pricing, and the "best" one completely depends on what you're producing. Here's the breakdown by situation:

If you're solo/on a budget:

Rytr ($9/mo, free tier) is the cheapest usable option. Fine for emails, outlines, and social posts, but weak for serious long-form. Writesonic ($16/mo, free tier) is the better pick if SEO articles are your thing since it pulls real SERP data into the draft.

If SEO rankings are the whole point:

Surfer AI ($99/mo). Expensive, but it optimizes every article against what's actually ranking: headings, NLP terms, word count, internal links. The catch is that the writing quality itself is secondary to the SEO scaffolding, so you're still editing.

If accuracy matters (data-led content, reports, anything fact-heavy):

Perplexity ($20/mo). It's the only tool in the bunch that cites sources inline, which massively cuts fact-checking time. The downside is that output reads like a report, not editorial.

If you research before writing:

Frase ($15/mo). It builds a full content brief from the top-ranking pages (questions, headings, target word counts) before you write a word. Its own AI writer is meh, so use it for the research layer.

Marketing teams:

Jasper ($49/mo) if brand voice consistency is the priority, since you can train it on your existing content.
Copy.ai ($49/mo) if you're mostly doing short-form: ads, emails, landing pages, sales sequences.

Everything else:

Grammarly ($12/mo) is not a generator, it's the editing layer that makes everything sharper and works in every app.
Notion AI ($10/mo add-on) only makes sense if your team already lives in Notion.
Anyword ($39/mo) has a predicted performance score that's genuinely useful for ad copy and subject lines, less so for articles.

The pattern I noticed: almost nobody serious uses just one tool. The common stack is a drafting tool plus Surfer for SEO scoring, or Frase for research plus Jasper for the actual writing. And every single one still needs human editing. Anyone telling you otherwise is selling something.

Free tiers exist for most of these. Run your actual content tasks through them for a week before paying for anything.

What's your current stack? Curious if anyone's found a combo I haven't tried.

Our team spent the last 2 weeks testing 8 different tools side by side. Same list of 500 prospects across all platforms. The results were honestly kind of shocking.

some tools found emails for like 80% of the list but half of them bounced. others only found maybe 40% but those were solid. the pricing vs accuracy trade off is real and nobody talks about it enough.

we had been using LeadIQ before this and it was fine for a while but the email accuracy started slipping once we moved into a new vertical. our SDR lead was getting frustrated because bounces were killing our sender reputation.

right now we're about to pull the trigger on Prospeo because their pay-per-verified model means we don't waste credits on bad data. plus they claim near-zero bounces which sounds too good to be true? but the weekly data refresh is appealing since we target fast growing startups where people change jobs constantly.

anyone here made the switch to one of the newer top email finders? trying to pick the best email finder for a team doing ~5k sends per month. accuracy matters way more than volume for us at this point.

We've been trying to scale up our content output over the last few months using claude and chatgpt for first drafts. the speed of getting a structured article is awesome, no doubt about it.

but honestly, the editorial phase is absolutely breaking my team right now. the ai just loves to drop random statistics, percentages, and case study names that look incredibly official but are entirely made up. it confidently quotes industry data that sounds perfect, but when we actually try to find the source to verify it, nothing exists.

It feels like my editors are no longer editing for tone or readability, they basically turned into fulltime investigators who have to manually google every single sentence to make sure we dont accidentally deliver a complete lie to a client.

if you're running a content team and using ai, how are you managing this workflow? do your editors just check everything line by line manually, or do you have a better process to catch these Halucinations? because rn, the time spent on manual verification is eating up all the time we supposdly saved on drafting lol.

I'm building my 3rd startup from scratch with cold email listing. What's the benchmark for cold email open rate? I have two sequences in apollo,

Seq A: 45% open rate, 6% exclude bot.

Seq B: 53% open rate, 5.2% exclude bot.

It's been years since last time I do this by myself, and I didn't have the option of "exclude bot" back then

What is a good benchmark in the era of AI? (I feel 6% exclude bot is too low)

Looking for affilate partners on any platform and any size following, initally offering 50% revenue off each unit sold, but I am flexible on terms.
Google prophet publishing house to find our website
Very happy to answer any questions and looking forward to working with you all!

I've built a clause code system to analyse the relevant influencers for your product and campaigns

I personally faced this issue when I wanted to reachout to an influencer, but he had 600 videos on his channel so it would've taken me alot of time to analyse it. So I built a system that analyses all the videos content scores them based on your product / campaigns relevance. Finds the email to reachout and writes a highly personalised email based on the content to reachout.

All of this in under 5 minutes

Just wanted to check if anyone's looking for the same system. Comment anything on this post so I can prepare a doc and share it with everyone

When I first started writing, I came across a lot of advice that sounded too simple to matter. Things like "write for the reader" or "don't edit while you write."

Over time, I realized some of those tips actually made a huge difference once I started applying them consistently.

What's one piece of writing advice you were skeptical about at first but now completely agree with?

I'm always interested in hearing what worked for other writers.

This was for a project I'm working on but the pattern was so consistent I had to share it.

1. no phone number in the header I had to hunt for it on more than half of these. If someone's on their phone deciding whether to call you, make that button impossible to miss.

2. hours nowhere to be found Or worse, outdated ones. Nothing kills trust faster than driving somewhere because the site said open and the door's locked.

3. the homepage talks about the business, not the customer's problem "Family owned since 1998" is nice but it's not what gets someone to book. Lead with what you fix for them, put the story further down.

These are small fixes. None of this needs a redesign, just attention. If you run a local business, go look at your own site like you're a stranger trying to find your number in under 10 seconds.

Anyone else notice this stuff constantly?

I'm a data nerd and I have mountains of data from 3M+ videos from 16k business and product channels on YouTube.

What have you always wanted to know, from the data?

Examples of some stuff I've already researched:

• Do faces on thumbnails drive more views? (They don't)
• Does the size or position of a face drive more views? (Nope)
• Does how often you post drive views? (Sort of)
• Does copying outlier formats work? (Not really)

Full transparency: I'm building a software product backed by this kind of data and I'm constantly trying to figure out what questions people have. Your questions help me dial that in.

But the research I publish is completely free, ungated, with full reproduction code. I'd like to bust as many YouTube myths as possible and make the data freely available.

I’m trying to pick an online store builder and i care a lot about SEO and marketing tools I don’t want to build a store and then struggle to get traffic or run campaigns later.

which builder actually has the best SEO and marketing features built in? like email, ads, social, SEO helpers, that kind of stuff?

I have been blogging for about 2 years now, and my numbers are lower than I would like. I have 3 blogs doing readthroughs and reviews of 3 fandoms. I have gotten 2.2k views across all three, with 1.6 coming from one Star Wars. Star Wars is taking a chronological approach, Percy Jackson and Final Fantasy are release order. I tell you this because my hands are somewhat tied in that I couldn't review The Mandalorian and Grogu or other current releases - the exception being a comic miniseries that's releasing and set after a time period I've already covered.

What's the best way to increase these? I have started using Pinterest (quite recently) with a picture of the material I'm reviewing and a hook. I post a reel to Facebook for each blog post. I try to optimise SEO through tags. Am I missing something?

My content is good but people still scroll away in the first few seconds, so my overall views stay low.

Is there like a go-to method for writing hooks that grabs attention in content marketing? Any tip would be greatly appreciated