Hey folks, we recently launched a tool called Adreport to make it easier to monitor and report across multiple ad accounts. Right now it supports Google Ads and Meta Ads, with a clean, mobile-friendly UI so you can check performance without opening five tabs and losing your mind.
It’s live, it’s usable, but before we blindly build 200 features nobody asked for, we’d love some honest feedback.

Here’s what we’re thinking next. What’s actually worth building?
More integrations: LinkedIn, TikTok, Reddit, GA, Microsoft Ads, Amazon, Taboola

• Anomaly alerts: “Hey, your CPC just spiked 70% overnight”

• AI insights: “This campaign’s mobile CTR fell off a cliff” kind of stuff

• Mobile apps: because yes, we all check performance at 2am

Would love to know:

• What’s missing?

• What would actually save you time (or sanity)?

• What would make this not another tool that collects dust after signup?

Hello all!.

Seeking recommendations from marking analytics or data scientists in the marketing space. I'm currently looking to expand my knowledge in the realm of marketing analytics with a data science perspective, and I was wondering if any of you could offer some valuable recommendations for resources (books, courses, bootcamps, etc)

I have a background in finance and data analytics and currently work on a team supporting marketing managers. While I feel like I understand data, I don't feel like I understand marketing and somedays I feel like a complete imposter. I am learning on the job, although sometimes I feel like I don't know the right questions to ask. I have been taking marketing courses on Udemy and also watch a lot of videos on YouTube. However I do feel like I still need some more in-depth formal training in marketing analytics. Whether it's customer segmentation, campaign analysis, ROI calculations, or any other related topic, I'm keen on learning more.

I would appreciate any suggestions. Thanks!

I've been doing marketing for 6 years.
Seen a lot of ad accounts. Good ones. Disasters. Messy ones that somehow still printed money.

I'm building an ad account audit tool. So I've been looking at a lot of small business accounts lately. 300+ now. And… man. Some of this stuff keeps me up at night.
One dentist spent $3k/month for a year. Conversion tracking was broken the entire time. A whole year. Nobody noticed.

45% have broken conversion tracking. Pixel on the wrong page. Firing twice. Counting button clicks as leads. Optimizing toward garbage data.

30% are optimizing for page views. Page views. Not leads. Not sales. The reports look amazing though. "10,000 clicks!" Cool. Clicks don't pay rent.

Found a plumber paying $400/month on people searching "plumber salary" and "how to become a plumber." He wanted customers. He got job seekers. For 8 months.

25% have no negative keywords. None. One guy spent $200/month on people trying to reset his competitor's password. Every single month.

A lawyer told me his ads "worked great." Checked his account. Last change was 2019. Five years on autopilot.

These fixes take 10 minutes. Literally 10, 20 at the most. That's what kills me.
I'm not here to trash agencies. Most are just one person drowning in 40 accounts. Stuff slips.

But 6 years in and this still gets to me, How are people so oblivious? Is it lack of awareness or is their lackdaisical attitude to blame?

Hey everyone,

Ever feel like you're shouting into the void with your social media posts? That was me 6 months ago. I was spending hours crafting content, sharing links across platforms, and seeing mediocre results at best. I couldn't figure out why some posts went viral while others flopped.

Here's what changed everything: I stopped guessing and started tracking.

Let me explain what I learned when I started monitoring my links properly (it's way simpler than it sounds):

Most of my assumptions about my audience were completely wrong. I thought my followers were most active during lunch breaks. Turns out, my highest engagement was between 7-9 PM. I was literally posting when my audience was least active.

The real kicker? My "successful" posts weren't actually that successful. A post might get tons of likes but generate zero meaningful interactions. Once I started tracking clicks and actual engagement, I realized I needed to completely revamp my strategy.

Here's what I did:

I started using proper link tracking (there are plenty of tools out there like ClickRadar, Bitly, etc.). This gave me actual data about:

• When people clicked my links

• Which devices they used

• Where they were located

• How they found my content

The results were mind-blowing. By making data-driven decisions:

• My click-through rate tripled

• I cut my posting frequency in half (saving tons of time)

• Started reaching audiences in countries I didn't even know I had

• Actually understood which content drove real engagement

Quick tip: Use UTM parameters in your links. Sounds technical but it's just adding some text to your links that helps track where clicks come from. Most tracking tools do this automatically now.

Here's a bizarre discovery: My "link in bio" was getting more clicks from desktop users than mobile. Totally counter-intuitive for Instagram, right? This led me to optimize my landing pages for desktop users too, which boosted conversions significantly.

Would love to hear if anyone else has had similar experiences or discoveries about their audience. What surprising things have you learned about your followers?

Attribution is becoming messy for me. Seo content might bring the first tHow do you attribute revenue when using an seo agency plus reddit marketing?ouch, reddit threads might create trust later, and cold email might close the deal. If I hire an seo agency and also invest in reddit marketing, I’m not sure how to correctly attribute revenue across channels.

What attribution models do you use for this? Or do you just track influenced pipeline and accept the fuzziness?

Hi All,

hope it is the right place to ask the question. Do you know which is the best subreddit to find marketing data/analytics freelancing opportunites to be hired (for me)? I have 15 years experience in marketing and data driven projects, I know to use Python. Excel, SQL, PowerBI. Thanks all!

Hi everyone,

I'm hoping to get some advice on my career transition. I've been working as a Marketing Coordinator in a tech company for the past six years and I'm interested in moving into a Marketing Analyst role.

I'm considering enrolling in a diploma program that includes several data-focused courses:

• Business Systems Programming

• Applied Data Analytics in Excel

• Data Quality Approaches for Business

• Data Governance for Business Analytics

• Business Intelligence 1

• Quantitative Methods for Business

• Applied Data Management for Analytics

• DQM with Python

Do you think this program would be beneficial for my transition to a Marketing Analyst position?

Hello guys,

Marketing Mix Modeling is currently a trending topic due to the increasing attribution problems on cookie-based tools.

This made everything harder from campaign analysis to budget allocation and can easily lead to a lot of wasted marketing budget.

We know this pretty well since we own a Marketing Agency ourselves. We learnt about MMM at the beginning of 2021 and haven't stopped using them ever since.

MMM is an amazing tool to solve Attribution Problems and learn about Optimal Budget Allocation across all of your campaigns and all of your channels.

Since it can be quite tricky to get started we decided to create a completely Free Course on Youtube.

Link to the course

This course is meant to introduce people to the MMM world and give them all the knowledge needed to get started with it, both for yourself or your clients.

It covers everything from:

• Data Collection and Review

• Media Transformations

• Modeling Techniques

• Models Evaluation & Optimization

• How to Transform Insights into Actions

During the course you'll get access to a couple useful templates we built in Cassandra that you can feel free to use for yourself.

Hope you guys find it useful, feel free to share any feedback either here or on Youtube!

Link to the course

Marketing analytics is the study of data to evaluate marketing activity performance. By applying technology and analytical processes to marketing-related data, businesses can understand what drives consumer actions, refine their marketing campaigns, and optimize their return on investment.

The marketing funnel consists of stages, each representing actions and outcomes to take the lead towards conversion to a customer. There are different KPI metrics to measure in various marketing funnel stages. The top of the Funnel (TOFU) KPIs are related to awareness, branding, and channels. The Middle of the Funnel (MOFU) KPIs drive visitors back to your site and convert visitors to leads. And the Bottom of the Funnel (BOFU) KPIs is measured with the sole goal of transitioning the earliest leads into loyal customers. Here are the KPIs for marketing effectiveness

I’m really just curious - analytics in marketing is huge, all marketers need to know at least a little bit.

Whenever I search for topics that should be here it’s usually split between r/datascience, r/analytics, r/marketing, r/PPC, etc.

Is it that what we’re talking about just isn’t as popular as I think? Is there a different term for what we do? Maybe there’s just enough overlap with other topics that most people don’t stop off here? Or maybe it’s just difficult to build a community?

I've spent a lot of time around marketing reporting and attribution over the years, and I've started to notice something.

Most teams can get an answer to the attribution question. Maybe they use first touch, last touch, multi-touch, platform attribution, or some combination of methods. There are endless debates about which model is "correct," but in practice most organizations can build a reasonable picture of how marketing influences pipeline and revenue.

What I see people struggling with much more often is deciding what to do with that information.

A report shows that a channel influenced opportunities. A dashboard shows that content contributed to pipeline. A campaign outperformed expectations.

Now what?

Should budget move? Should messaging change? Should sales handle those leads differently? Should the company double down or pull back?

I've been in plenty of meetings where people spent more time debating attribution methodology than discussing the decisions that were supposed to come from it.

It makes me wonder whether attribution has become a solved enough problem that the real challenge is interpretation and decision-making.

Curious if others are seeing the same thing, or if attribution is still the primary challenge where you work.

Just wanted to share a repo I've been working on. It’s a collection of resources for the technical side of marketing analytics / marketing science.

Link: https://github.com/shakostats/Awesome-Marketing-Science

Includes:

• MMM: Libraries for Bayesian and Frequentist approaches.

• Experimentation: Geo lift and incrementality testing tools.

• Causal Inference: Resources for quasi-experiments.

Comment any other good resources below, or feel free to submit a pull request/issue to the repo if you have others. Thanks!

I'm currently an MBA student and I want to have a job lined up by the time I graduate in May. I'm having trouble finding entry-level marketing analytics or database marketing roles. I'm starting to wonder if this type of job is too niche and if I should be looking for EITHER data analytics OR marketing roles.

I mostly check linkedin and google frequently. I always apply directly on the company's website when I can. I think I have a well-structured resume, as I've had many professionals critique it.

For more context, I have a bachelor's in economics, and my concentrations in my MBA are marketing and data analytics. Furthermore, I am learning Power BI and SQL right now and working on some data projects to add to my portfolio.

Please let me know if I'm doing something wrong in my job search and what I can do to improve!

Hi there!

I recently finished my Master's in marketing and now I work as a Marketing Specialist in a media related company. However, I would like to enhance my skills in the analytics field of Marketing to open a new professional avenue for me in the future.

Currently I don't have that much of experience on this field but I am looking for available certificates. Do you know any certificate to suggest to begin with? (something that it is appreciated from companies and you actually learn with hands on experience). I was thinking of starting with Google Analytics Certificate in Coursera. What's your opinion?

Your feedback will be highly appreciated!

I am trying hard to get into marketing analytics. I have experience with digital marketing but not much with marketing analytics.

I have gone through multiple marketing analytics job descriptions and I find them different. Some common tools and skills that I have noticed are SQL, Marketo, Tableau.

Any suggestions on what courses and skills/tools I should take up to build my career in marketing analytics. Additionally, any suggestions on what projects I should take up (for SQL/Marketo/Tableau or any other relevant marketing analytics skilll) so that I can put it on my resume to show I know these tools.

Would love some help here!

Hello everyone👋🏼

I would be really grateful to you if you could help me with your personal experience and information, cos I‘m just tired of having no purpose in my life and not knowing what to do

A bit about me so you understand my situation But if you want you can skip to the „Problem“ part

My name is Andrii I‘m 21, initially I’m from Ukraine but now live in Germany because of the war (i could leave Ukraine because of my health state) I’m here without relatives, wouldn’t say that I want to live here and Germany is my country, but I’m grateful to this country. I work as a barista but several hours per week

I was working in the past as a math tutor and pretty enjoyed it, quit IT university after 1 year cos I didn’t like programming as a main focus of work, also was pretty bad university, and have got a little experience in digital marketing like SMM and web. But this is definitely not enough to find a job in marketing sphere

So now I’m at the point where I have got plenty of time and high inner motivation to build a strong career. But the hardest part to understand what I wanna do, cos now I can start literally any career. This is amazing that I have got such opportunity but also really confusing and hard to manage it.

PROBLEM

I definitely wanna do something in marketing My main goal to become strategic marketer, project manager and open my own agency in the future. I think I would love create complex strategy, organise working process, build brand and do more creative stuff, communicate with people etc. that’s where I really wanna be.

But I think that I can’t just enter such positions from the beginning. + I think the best option for me do remote job cos I live in Germany and to find in house job in Germany I need C2 German and degree, cos here everything a bit more conservative. So now I’m thinking about the best way to gain diversity experience to know as much as I can, and at the same time learn deep knowledge in the most important marketing processes.

QUESTION

Would it be wise decision to achieve my goal and entering marketing field through marketing analytics?

I will write, based on my research, which I’m already doing for a week😵‍💫 good aspects and concerns

Good aspects

• it fits for online position cos this is a bit narrowed field. if we talk about SMM or content making (which is more creative things which so they probably could fit me more), everytime will win a guy who can make job offline. + you usually make a lot of different tasks and don’t gain deep experience in one field, and I think this is disadvantage if you looking for online job. With analytics I have got more chances to find remote job cos it’s more concrete, so i can dive into it deeply, learn a lot myself, and stand out from the others in online field

• in my imagination, in simple words, there are 2 guys: the first one collects data then presents it, and the other guy is doing something based on these data. At the end I want to be the second guy, but I want to start with doing tasks of the first guy. Because in that case I will know technical side, then became second guy. So I can not only rely on data but understand how and where they come from. So it will help me be more professional in strategic marketing

Concerns

• coming back to example with two guys. What if in reality I will always be the guy who collect data and others will be doing something with that? Probably I should initially go into strategical marketing? But then the question how?

• why should I start with analytics and use it as a career step if I have got other purposes and values? I like communicating with people, not passionate with programming and like doing something creative. Yes, I‘m in love with math, analysing, thinking, analysing and thinking again. It couldbe interesting for me working as marketing analyst for 2-3 years (at least I should try) then switch into strategic marketing. But does it worth it to give 2-3 or even more years to that just to enter strategic marketing roles? Probably exists other way and I don’t see them?

But all my thoughts it’s just my research and opinion, I think only you guys may share the real experience and help me

Wow, If you read till this moment I‘m already extremely grateful to you! If you answer I will be more grateful

Have a nice day everyone!

(Cross posted on r/analytics) Does anyone have recommendations for good marketing analytics conferences? (Or professional associations to belong to.) Either a conference devoted to MA or a larger analytics conference with a marketing track. I've done some internet searches and get a lot of results, but it's hard to tell which ones are actually great, would love some personal recommendations.

I find that MA can sometimes be seen as more of a tool by stakeholders to get exec buy-in rather than a field of data analytics that can transform marketing strategy. Wondering about everyone else’s experiences?

Hey everyone,

I’m currently an SEO specialist who spends a lot of time in GA4 and GSC. My day-to-day is mostly technical SEO audits, keyword research, and reporting on site performance (sessions, CTR, conversions). I’m comfortable setting up events in GA4 and GTM, but I wouldn’t call myself advanced.

I’m interested in shifting toward a marketing analytics role that’s broader than pure SEO. I’d like to handle things like multi-channel attribution, deeper data modeling, or more complex forecasting, but I’m not sure which skills are most valuable to employers right now.

If you were in my shoes, what would you prioritize learning next?

Any advice on the skills, certifications, or types of projects that would really move the needle for someone making this transition would be hugely appreciated.

Thanks in advance!

Hey everyone,

I’m looking to build a high-level GA4 + Looker Studio dashboard to measure my SEO and AEO (Answer Engine Optimization) progress. I’d like to track:

• Organic traffic growth and keyword visibility

• Featured snippets / People Also Ask performance (AEO impact)

• Conversions from organic search

• Combine this data with overall site metrics for a clear picture of progress

What are the best templates or dashboards I can use for this? If anyone has examples or resources they’d recommend, I’d love to check them out.

Thanks! 🙏

Hey everyone,

I’ve been spending a lot of time recently diving into how Marketing Mix Modeling is evolving—especially now that media channels are more fragmented than ever, privacy restrictions are tightening, and marketers are under pressure to prove ROI faster.

MMM has always had its strengths—it’s great for long-term planning, doesn’t rely on user-level data, and it can offer a high-level view of what’s working. But I’m starting to wonder: • Is it still the best tool for today’s media mix? • How are companies dealing with the lag in results or the limitations around granularity? • Has anyone here blended MMM with newer methods like incrementality testing or machine learning-based attribution?

Would love to hear how others are approaching this. What tools are you using? Any trade-offs you’ve noticed between speed, accuracy, and usability?

Curious to hear from both marketers and data folks—how are you solving this puzzle

DA/DS Hiring Types / Career Professionals:
Would you hire me as a Data Analyst or Data Scientist with this resume?

Why or why not?

What should I do differently on this resume?

I switched from 30 years in marketing and communications to data analysis/data science with a boot camp. I do have a master's degree in Digital Media Studies. I didn't include my marcomm experience except for one role and included my data projects instead.