Emilia Korczynska

Userpilot

VP of Marketing

Doing all it takes to get more Product People over the code barrier with our code-free Product Adoption, Marketing & Experimentation Platform:  
Designing, developing and implementing a marketing strategy that ensures higher visibility 
Leading our stellar content team 
Implementing and driving a paid ads strategy to diversify customer acquisition. 
Driving funnel growth
Implementing an email marketing strategy 
Identifing and testing new acquisition channels
Overseeing, training, and coaching team members

Head Of Marketing

Managing content operations for a fast-growing B2B SaaS company - Product Experimentation and Marketing Tool for Product Teams: 
- Content planning, SOP development, SEO keyword research and topic ideation 
- Content editing and creation (blogs, website copy, social media content, ebooks, landing pages) 
- Community building (esp. Facebook - growing Product Growth & Retention Group, and LinkedIn) 
- Partnership management (guest posting, co-promotion)
- Writing weekly newsletters and developing email marketing workflows
- Organizing Product Drive - an annual online conference for Product People  (first edition: 2200+ participants)
- Data Analysis and Reporting (Google Analytics)

Marketing Manager

Wisemont Language Services

Boutique language agency helping SMEs sell more through great content on international markets

- Content marketing: translating, localisation and copywriting of SEO blog content, articles, website copy, newsletters etc. 
- International Social Media management 

Responsibilities:
- Developing and marketing new service packages and new in-formation products 
- Supervising development of content marketing strategies and SEO content for our clients that bring results – e.g.  ranking on 1st page in Google for competitive keywords, growing Twitter following to 3500 in 4 months

Owner

Postfity.com

- Helping more startups and small businesses hear about the most affordable social media scheduler designed specially for SMBs through: 
- creating a documented content marketing strategy, planning paid and organic marketing activities (content resharing, social media listening using Brand24, email marketing), setting and monitoring KPIs, measuring results using Google Analytics and Social Media Insights 
- hiring and managing marketing professionals: Social Media Managers, Copywriters, Facebook Ads Specialists, Google Ads Experts, Graphic Designers
- setting up and optimising email marketing drip campaigns
- doing Competition and Keyword Research, optimising blog content for search engines, creating new blog content optimised for low-difficulty keywords
- A/B testing Facebook ad campaigns
-  managing the marketing budget

Marketing Strategist

Find in China

Find in China is an online directory of local services, venues and events on a map in English designed for the expat population in China. Together with other local websites for expats we are creating the largest database of information and socialising opportunities for foreigners in China, as well as  a nationwide discount card. [Acquired October 2018] 
Responsibilities:
- Designing a web-app - map-based directory of venues, ser-vices and events in China
- Front-end project management – liaising with the front-end developer to produce the desired results in terms of design, functionality and user-experience, and with the back-end pro-ject manager 
- Business development and general management -  searching for joint ventures and collaborations to grow our database of point of sales and events quickly (we launched with over 1000 POSs across China), social media marketing

Co-Founder and CEO

Birmingham City University

Leading an in-country presessional course for students of Nanjing University of Science and Technology 
Teaching Academic Study Skills

ICP Visiting Lecturer

Swansea University

Teaching (Polish) Translation and Interpreting MA students:
- Module: Advanced Translation) 
- Module: Public Service Interpreting: Local Government Option
Supervision: Translator's Tools 
Material, test and examinations development

Part-time Translation and Interpreting Tutor

Runner's Delight

Runner's Delight was an innovative brand of functional porridge designed especially for runners. 
Responsibilities: 
- Designing and launching a sports nutrition product for runners
- Assisting in branding, social media and influencer marketing

Co-Founder and product manager

PayPal

EMEA Collections Specialist

Stream Universe TV

- managing relations with contributors: 
- contacting influential bloggers attracting large numbers of followers with commissions for film / TV series reviews and content writing;
- providing writers with updates on new releases, writing opportunities, etc.
- keeping  submission deadlines

Account Manager

The Cambridge Student

- writing a weekly series of satirical columns

Columnist

Passionate about SaaS product growth, and both the pre-sign up and post-sign up marketing. Talk to me about improving your acquisition, activation and retention strategy. 


I went through my “saved” folder today and realised a) there’s a clear shift in Linkedin ads going on, as most LinkedIn ads experts are saying very similar things b) most of the posts I’ve saved lately came from the same 7 people. Do yourself a favour and give them a follow:

👉 Tim Davidson - founder at B2B Rizz, a boutique LinkedIn ads consultancy for ABM for B2B SaaS
👉 Gabriel Ehrlich - founder of Remotion, a LinkedIn ads agency
👉  Philip Ilic - founder of KiiN, a LinkedIn ads agency
👉 Ali Yildirim🌲 - co-founder of Understory, end-to-end growth agency for B2B tech companies, but focusing heavily on paid media (not only LinkedIn ads but also Google Ads)
👉 Maximilian Herczeg - LinkedIn Strategy & Ads for established B2B brands & founder-led companies, worked at LinkedIn for over 2 years (sadly writes in German, and I thought I'd never have to read German again 😝) 
👉 Ivan Falco - Head of Growth at Cold IQ - a GTM agency for B2B SaaS that uses LinkedIn ads to drive pipeline through inbound-led outbound

These are the people I’ve learned practically everything I know about LinkedIn Ads* from (and ofc, our own Siddhesh, but he never posts anything!). Some of them I've worked with as consultants before, some I'm planning to, some have very generously spend hours with me giving me feedback & reviewing our ad account 🙏 this is the little I can do in return. 

If I forgot to include anyone here - blame it on LinkedIn algos, I'm not seeing your posts 😉 Also - where are women posting about LinkedIn ads? 🤔) 

Here’s what I’ve learned from them in the last month (or so):

1️⃣ Thought Leader Ads (TLAs) are the hottest ad format

- Use your best organic posts with a clear monetization logic as ads.
- Aim them at the right list (ICP, buyers, and their influencers).
- Add a simple CTA link so the folks you target actually *go* somewhere (should be relevant to their stage - COLD: resources; WARM/HOT: audit/offer) 

2️⃣  TOFU–MOFU–BOFU is basically dead

 Nobody’s buying (in) "funnels" anymore. The new model is brutally simple:
COLD = trust-building (zero-click content, POV posts, case studies)
WARM = activation (retargeting, DM/convo ads, offers).


3️⃣  LinkedIn ads ≠ ABM. You need the rest of the GTM system.
 Ivan, Tim & Justin talk a lot about what happens after the click:
Retarget engaged accounts
Pipe signals into Clay / outbound
Make sure email, SDRs and content are all aligned (I know, I know, we all hate the word - but it's true. Better still - replace initial manual outreach with automated outbound)


 *I’m really bad at institutional learning (maybe because I was home schooled for the first 2 years of my education) and I most of the courses I’ve bought I haven’t finished. But why buy courses when you can learn so much for free here in a bite sized format (sometimes even while watching brain rot at the same time, right Tim Davidson 😅)?

VP of Marketing @Userpilot. Author @ Product Rantz.

Every marketer will tell you the same thing “We have enough data. We don’t have enough insights.” Especially at the end of the year, when we’re all going into “reporting mode” - we’re drowning in data and desperately trying to make sense of it, to plan our 2026 budgets. 

AI should change that. 

This is why I’m so proud that Michal Jackowski is launching Zena - LinkedIn Ads AI Analyst today on Product Hunt - please check out the launch here: https://zenabm.com/ph

Zena answers all your questions about your LinkedIn Ads performance, your ABM campaigns, your target companies’ engagements with your ads *AND* the impact of your campaigns on revenue and pipeline. 

TL;DR - my husband has been working very hard on making it happen for almost a year, and I’ve been the harshest critic ;D I rarely like anything he does that doesn’t involve pasta - and I wouldn’t be sharing this launch with you if I didn’t think this is a game changer for reporting on ABM Campaign performance through LinkedIn ads. I’ve been feeling all the pain of doing this manually myself and this product is made of my tears (proverbially, of course :D) 

How does it work? Zena combines data from 30+ LinkedIn ads API endpoints with data from your CRM, and processed data from ZenABM (that already combines all the above data sources into one single source of truth, and calculates account engagement scores, ABM stages etc.) 

Here are the types of questions you can ask Zena about your LinkedIn ad and ABM performance data: 

 🟢 Ask Zena about your top performing ads, and ad formats - which had the highest number of clicks & CTR. 
🟢  Ask Zena to get you a list of your most engaged companies in different timeframes by clicks, impressions etc. AND by inventory type (image, TLA, chat).
🟢 Ask Zena which of your ad campaigns are driving pipeline, and which are only wasting budget. 
🟢  Ask Zena about the impact of your ABM campaigns on your funnel and TAM - how companies you’re targetting moved stages month over month, how much you’ve spent on them etc.
🟢  Ask Zena which of your ABM campaigns (and LinkedIn Campaigns) had the highest impact on revenue e.g. this vs. last month. 
🟢  Ask Zena about your ICP’s engagements - which job titles engaged most with your campaigns - month by month.

Getting all these questions answered just by looking at LinkedIn Campaign’s Manager or my Hubspot dashboards would take me ages - now I can get them answered in seconds, with beautiful reports generated by Zena.  

P.S. You can try Zena for free - you get 10 chats with Zena in ZenABM’s free trial - perfect for your end of the year reporting.

I saw in recent Kyle Poyar’s post (from a survey done with Maja Voje!) that intent-based outbound is the 2nd biggest bet marketing teams want to take in 2026. I'm not surprised - we already took this bet in H2 2025 (for once, I'm not late to the party 😅) and can share ‘early reviews’. 

Let me tell you…it’s not easy. In the last couple of months, since we started this “signal based outbound”, our new “BDR team of 0 (ZERO)” opened only low 6 figures in pipeline. That’s a bit disappointing, but we’ve only reached ~ 10% of our operational capacity (will explain why below). 

But perhaps more interestingly - it was also more than a team of 4-5 BDRs sometimes did in ‘slower months’. And the cost of running this op, relatively - is significantly lower: 
 
⚫ $852.8 - Clay - our key orchestration engine, we push all our CRM contact & company data there (which is the most precious source of signals…especially those high intent inbound signals like sales touchpoint, high intent pam) & use various APIs there (like Builtwith and Apify) to collect 3-rd party signals about technologies used, new job postings, and new executives starting their jobs (a common buying trigger). We also use OpenAI API in Clay for actually generating personalised messages in 
⚫ $501 - Heyreach - for LinkedIn automation 
⚫ $94.00 - Smartlead - for email automation
⚫ $0 for ZenABM - fetching signals from LinkedIn ads engagements (by specific campaigns = intent signal) & deanonymizing high and mid intent page visitors with LinkedIn Text retargeting ads - pushing that into Hubspot & Clay
⚫ $0 for Vector & RB2B - currently using free plans for de-anonymizing certain key page website visitors 
~ $100 for domains & inboxes
~<$50 Open AI token usage 

Total = $1,597.80 per month - you could not hire a single BDR for this. The mastermind behind this & only full time hire working on executing this is our rockstar GTM engineer. 

This operation has the capacity to send tens of thousands of personalised emails and ~ 3,000 Linkedin messages. 

Why we haven’t been able to reach full capacity yet? 

We’re still learning on the job - we’ve been running into API/ integration issues, and e.g. email sending delays based on non-obvious tool defaults hidden “under the hood”. 

There are of course, great tools like Usergems or CommonRoom that have productised this to a large extent (I have demoed a bunch and some are really impressive) - but the cost is always mid-to-high five figures at the very least. And it’s not in our DNA here to buy expensive solution before proving ROI.

So I’m bracing myself (or rather - I’m giddy with excitement for) another quarter of testing what our in intent-based outbound system can do (before it all goes mainstream 🫠) and hopefully I can report we’ve smashed all our quota targets after Q1 🤞

Founder & Creator | Growth Unhinged

Bestselling Author | Empowering 9,500+ Companies with My GTM Method | B2B AI-GTM Consultant | Building AI Agents & Agentic Workflows | 73K LinkedIn | 25K Newsletter

Ahmed Mohsen

[Takeaways from panel with co-founder of Clay] When Bill Stathopoulos invited me to moderate a panel with the co-founder of Clay, Varun Anand, I took the prep seriously 😅 I wrote a list of 30+ questions 6 weeks in advance. Then Varun comes, looks at the questions on my phone, tosses my phone to the sofa behind us, and says "let's do something spicy" 😅 So we did. 

Instead of my doc, we took questions directly from the audience. The discussion went on for a good hour - and here are the main takeaways: 

1️⃣ There are no "winning plays". That's the wrong way to think about marketing. If there was a "one size fits all" play that would always work. If there was, it would soon become so overplayed it would stop working...oh wait 😅 Yeah it's obviously happening. There are even tools productizing and selling these "winning" plays. Because there's a *lot* of people who think wrong about marketing. So there's a big demand for the promised "silver bullets", that then don't work because they turn your messaging into boring, same-sy slop. What's *the right way* to think about marketing then? Just two things: a) content b) distribution. You need really good content, and really good distribution (target the right pesonas, reach them at the right time, in the right place, at a defensible cost). Clay can help you with the latter. It can't help you with the former. 

2️⃣ All successful email outreach campaigns / LinkedIn outreach / ABM / ad campaigns boil down to the same thing: VALUE you offer to the recipient in the first touchpoint. This is the "good content" part. It works whether you're trying to sell a product, or sell yourself (looking for jobs - making proactive applications). What's an "offer"? Imagine a graphic designer reaching out to you to sell you their services. Super-saturated commodity market. Now image instead of talking about THEMSELVES, they send you a folder with 10 of your LinkedIn ads they've redesigned for you, based on what has worked for their other clients, with a breakdown why they will work better than your status quo. Now, this is VALUE. A lot of good content has recently been video content. People like consuming it because it makes the brand more relatable. But again, you need to find what works for you. 

3️⃣ The reason why Clay has been so successful is that unlinke the other tools that force you into these same-sy plays it offers a blank canvas - and creativity to come up with whatever creative distribution strategy you need. 

Thank you SalesCaptain & ZenABM for organizing & having me! 

P.S. Some questions I wanted to ask - & still think every marketer should ask themselves in 2026 😅

What GTM plays that worked in 2025 will no longer work in 2026 & y?
What GTM strategy are you betting on in 2026? 
What’s the most underrated GTM channel/tactic? What's overhyped? 
Do you think from 2026 marketing will look more like “GTM engineering”?

Why has Clay become such a success? Product/PMF OR your GTM strategy? More in comments 👇

Someone (from the tech industry) asked me where I worked and what Userpilot was this weekend. And for the first time (hold my coffee), without thinking much, I responded: it’s a “Lovable for Product Adoption”. I know it’s a bold statement…and a complement for Lovable for becoming a household name for the category of no-code software in such a short time. And I know - sadly, no matter how much I bend myself over backwards here - it will never be as popular - because product adoption, unlike acquisition (which I have a hunch Lovable is mostly used for) is still “Cinderealla’s ugly cousin”. 

But here’s the irony - as the entry barriers to shipping software are getting lower and lower with Lovables of the world (and the competition is getting more and more cutthroat) ease of use and Time to Value are the strongest factors in determining whether someone will continue using your product, or start shopping around again at the slightest hint of friction. Nobody’s reading help docs anymore. You either provide instant answers in-app, or the users leave.

The irony why perhaps product adoption software hasn’t been that popular is also because the legacy solutions in the industry were notoriously difficult to use (iykyk).

The popularity of Lovable lies in a) how easy it is to use b) how fast it allows non-technical users to ship market-acceptable assets they could never dream of producing without a designer and a developer. “Acceptable” is better than “perfect” - because the difference between acceptable and perfect, in my experience, is exactly the same as “done” vs. “Not done”. 

👉 Yes, you could hard-code your onboarding experiences. But you know you won’t.
👉 Yes, you can use the legacy product adoption platforms…but that’s the modality of the word ‘can’. If you can’t ship what you need in < a few hours without developers’ / designers’ help - you won’t.
👉 You could buy 5 different solutions for lifecycle email, in-app communications, and product analytics - but you know the data will be falling through the cracks and you don’t use it consistently between the different tools. Your use communication will be broken. 

So give Userpilot a try for 30 days - we’ll support you with our new “Product Growth Jumpstart 2026” program (Chat to our product Growth Expert: https://lnkd.in/duKmW2hY to participate) to help you make most out of your free trial, and demonstrate to you how much more product-led growth (not only in terms of new acquisition, but also expansion) your team can produce if it’s empowered to engage users and build in-app product onboarding & adoption experiences truly on their own, with data available on their fingertips.

Open article: 15 Minute Meeting - Kelli Truelove by calendly.com

I saw this post about 2026 predictions by George Chasiotis in my inbox the other day and nodded vigorously at the first point: 

"1) Consolidation of SaaS:

I expect 2026 to be a strong year for SaaS M&A.
Some of it will be necessary. Some opportunistic. Some both.
SaaS entered a consolidation phase when AI went mainstream three years ago. While part of the activity is obviously driven by AI disruption, a big chunk comes from companies that raised heavily during the ZIRP era—at valuations that no longer make sense.
Now, they consolidate to stay afloat and create enterprise value—enough to give their investors a shot at liquidity."

This dovetails with what I wrote in my previous emails - AI has made the SaaS landscape even more competitive. First - because there are so many new solutions floating on the market every week. Second - because teams are getting more and more empowered by tools like Lovable to build their own, bespoke solutions. 

I didn't believe this would happen just a few months ago, but now I'm seeing this shift happen in my team.

Six figure price tag for a point solution is not defensible anymore. And in niche B2B SaaS - a ACV below $5000 is a death sentence. You can almost never grow beyond $10m with such low ACV. 

So expensive platforms need to quickly justify their price tag by offering significantly more value.

Being a one-trick pony for one team is not enough. 

You need to go cross-functional, become the go-to platform that can be used by several teams for several use cases, and that provides so much value for so many people that it's essentially impossible to rip-and-replace. 

That's one reason to consolidate. Another is the security risks.

Integration surfaces are being increasingly seen not only as a nuisance, but also - a huge security risk. Nick Malekos recently wrote about it in his newsletter as well.

Every other month we hear about some significant security risk. Recent breaches illustrate this clearly: both Drift and Mixpanel were compromised involving third party integrations.

So now, back to the "Build vs Buy" debate - the idea of each team member being able to build their own stack sounds great in theory. 

But in practice - the hackers are just waiting for your "Rosie from HR"  to upload half of your CRM to chatGPT. Creating "shaddow stack" is a massive security risk that is being exploited more and more. 

Security is the price your team may pay for the "DIY" stack. 

So maybe don't. 

Don't risk it. Choose a platform that caters well to the use cases you need, for a reasonable price. I may know one 😉 

Read more about the shift to consolidated platforms in SaaS in 2026 below 👇

If you’re rethinking security of your data with your vendors, you’re not alone. First Drift, now Mixpanel. In the last few months, some of the biggest, most enterprise ready SaaS companies have been in the news for serious security breaches, compromising PIIS. Despite “enterprise ready” security. Despite SOC 2 Type II, ISOs and HIPAA. How??

The latest one was a “smishing” attempt (sms phising - yeah I had to ‘google it’). The previous one was OAuth token theft attack - which investigators believed was caused by either phishing stealing API keys/internal tokens/ or compromised internal systems.

Now - SOC II or ISO couldn’t have prevent any of that. Security certifications indicate the implemented standards (in terms of governance, control, encryption, training, risk assessments), but don’t (and can’t) prevent human error, theft, or impose design and architecture choices like per-tenant OAuth separation or short-lived access tokens.

So - these security can happen. SOC II does not make you immune - and if you think larger players are necessarily more immune to attacks - think twice. 

They are more likely to get attacked in the first place.

So if your procurement is pushing you to choose/ stay with a legacy solution that you don’t really like just because it appears more secure - say ‘no thank you’.

Userpilot has been SOC II Type II, ISO & HIPAA compliant for years too. We’re not claiming we have better security than Mixpanel (you can compare the tools here, including security: https://lnkd.in/dzd_KcKr). But we do offer better value for money:

- We combine analytics + action, so you can immediately trigger in-app onboarding, tooltips, and feature prompts based on user behavior.

- We offer built-in in-app user engagement tools (tours, checklists, spotlights, modals) and email -  something analytics tools alone don’t offer.

- We provide native user feedback collection tools via in-app surveys, NPS, and microsurveys alongside analytics.

- Userpilot is more accessible for product managers and marketers, with a simpler UI and less data-model complexity.

- It offers faster time-to-value, since teams don’t need to manually instrument events or maintain a tracking plan.

- It's designed specifically for product adoption, activation, and onboarding use cases - not just data analysis.

- It offers lower implementation and maintenance overhead, especially for small or mid-sized SaaS teams.

- Userpilot allows immediate experimentation (A/B for in-app flows) without relying on dev resources.

- It's better for driving outcomes, not only measuring them - helping teams improve activation, retention, and feature usage directly.

Meanwhile - are you overpaying for ‘enterprise security’ that doesn’t in fact offer neither a guarantee of security, nor extra functionality in return?

A couple of weeks ago I saw Tas Bober’s B2B hit playlist & told her I want to be her songwriter one day 😅 but then December hit (me like a ton of bricks) - quotas growing, all around me, deals are stalling, pipeline’s dry - sales is blaming all of this on marketing - Merry Christmas, everyone! 😉

If you want to get into the Christmas spirit with tunes you know, and lyrics you can actually relate to - I’ve got something for you. 

Mash-up of my favourite B2B Christmas songs below, link to the full playlist in the comments 👇 (with lyrics - NOT AI generated!)

Back to planet Earth tomorrow 😬 Hope this playlist will help carry you through these difficult times (reporting, attribution, planning, all in < 2 weeks  💜 I feel you, because it all crept up on me like “winter creeps up on Polish drivers” - iykyk) 

Enjoy! 😉

After George tagged me in his post about which of his 2025 “marketing projections” panned out and which didn’t - I had a strong feeling of deja vu. At the start of 2025 - we were all betting on “original, thought-leadership content” as an antidote to “AI slop” and organic traffic decline. I’ve announced our blog is dead - long live the PITT - Product Innovation Think Tank. 

Well, turns out the PITT lived just for a short 6 months. And that “thought leadership” is extremely hard to scale. I’ve tried so many times, in so many ways:

 A) 2021 - hiring “subject matter experts” in-house - something that even OpenAI (how ironic) is trying to do now (check out Kyle Poyar’s recent post about it - in the comments). It was a disaster; they all quit within 3 months - turns out thought leaders don’t want to mass-produce thought leadership to OKRs. I know of maybe one company that has done it successfully (Ahrefs) - so I wonder how that pans out for OpenAI. We say 'a star is born', after all, not made. 

B) 2023-24 - partnerships & sponsorships - like herding cats and playing one-armed bandit, was just burning cash while creating a disproportionate amount of nuisance for our demand gen team to manage;

C) 2025 - Content syndication in an “owned” online magazine + boosting LinkedIn posts based on the original content with Thought Leader ads. You can’t just find more Akashs Guptas, Kyle Poyars, or Maja Vojes to keep playing that game over time. Plus - getting the influencers to agree to participating in a program like that is art. So after a strong start, the quality just kept going downhill, and we fizzled out after a few months. 

No, onto what has worked, so far, ish:

ABM - moving from a purely inbound motion to building an account-based marketing motion has worked for us - driving a significant % of the pipeline every month. BUT - because of all of the above, we’re really only just capturing demand. We didn’t manage to create this exceptional program full of amazing content that would really “generate demand” (some people are going to tell me I believe in Santa in the comments - fair enough, I hear your point. As we all know, nothing exists in marketing anyway ;)) 

“SEO is dead” - well, that was my biggest “positive disappointment” - turns out both SEO and link building still exist, and have respawned as a whole new channel - AI referrals (and no, we haven’t changed much about how we do SEO). 

How has your 2025 been? Different than you expected? 😉

I know a lot of you are probably about to dig into a massive portion of turkey & stuffing 🦃 🥘 ...but hopefully this post will give you some food for thought this Thanksgiving too 👇 I have some very interesting insights form our recent Product Analytics survey for you (a full report is coming soon!) - and some predictions for how Product Analytics will change in 2026 based on that: 

We've recently asked product managers & marketers a few questions about their experience with product analytics - and their expectations. 

They said what we all feel: 

⛔ There's too much data, and not enough insight; 
⛔ Reporting takes too much time; 
⛔ It's hard to connect data cross-functionally;  

Perhaps, even more interesting were the answers to the question what the users are now expecting of their Product Analytics solution....

...AI has changed us, duh: most users don’t want to build reports, set up tracking, or learn SQL.

This is what they want - and how I believe Product Analytics tools will need to change to stay competitive (+ how we're addressing these expectations too): 

1. AI-Driven Insights & Predictive Analytics

The biggest shift is moving from dashboards to automated, actionable insights.

Tools that can:

🟣 surface anomalies automatically
🟣 explain why metrics changed
🟣 predict churn, upgrades, and expansion
🟣 recommend actions for improvement
🟣 identify friction points and Aha moments
🟣 act as a “copilot”

…will replace those that require manual digging.

This aligns fully with our user research: “tell me what matters, what changed, what to do.”

2. Unified Data Integration & End-to-End Data Flows

Tools that win in 2025–26 will make it easy to combine product usage data with CRM, support, and BI tools, merge quantitative & qualitative data (events + heatmaps + surveys) and remove engineering from the integration process.

3. Embedded Analytics & In-Product Workflow Integration

Analytics is moving from stand-alone dashboards into workflows.


4. Ease of Use & Low Technical Barrier

One other major differentiator of next gen analytics tools will be the zero-friction setup: users are expecting the insights to be available for them without committing any engineering hours to setting the analytics tools up: 

🟣 automatic tracking instead of event tagging, prebuilt dashboards, reports & prompts, already available in Userpilot, 
🟣 simple, non-technical UI,
🟣 democratized analytics for PMs, CS, product marketing

Which brings me to the next point:

Brace yourself: Analytics 2.0. is coming this winter! 

I've already started casually calling Userpilot the "Lovable for Product Adoption" - but I will soon also be able to call it the "Lovable for product analytics" - more research & details inside 👇

taplio

Emilia Korczynska's Linkedin Analytics