B2B buyer journey length and touchpoint statistics (2026) | STARTUP EDITION

B2B buyer journey length and touchpoint statistics (2026): 94% pick a preferred vendor before contact, helping founders win shortlist visibility sooner.

MEAN CEO - B2B buyer journey length and touchpoint statistics (2026) | STARTUP EDITION | B2B buyer journey length and touchpoint statistics

TL;DR: B2B buyer journey length and touchpoint statistics in 2026 show most founders are selling far too late.

Table of Contents

B2B buyer journey length and touchpoint statistics in 2026 prove your sales funnel is probably lying to you.

  • Average B2B deals now take 272 days and involve 88 brand interactions, so judging marketing after a few weeks will break your forecast and starve channels that need time to work. See the B2B customer journey benchmark.
  • Buyers do most of the work before talking to sales: 70% of research happens independently, and many teams pick a favorite vendor before first contact, which makes shortlist visibility more important than late-stage persuasion.
  • If you keep reading, you’ll learn how to adjust your content, nurturing, and committee-ready messaging so your brand shows up earlier, stays credible longer, and wins more of the hidden buying process. A useful companion is this guide to B2B customer journey stages.

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B2B buyer journey length and touchpoint statistics
When your startup needs 17 touchpoints, 4 demos, and one existential crisis just to close a B2B deal. Unsplash

B2B buyer journey length and touchpoint statistics in 2026 tell a brutal story: the average deal now stretches across 272 DAYS, involves 88 brand interactions, and includes 10 people in the buying group. I am Violetta Bonenkamp, also known as Mean CEO, and from my perspective as a European parallel entrepreneur building across deeptech, edtech, and founder tooling, this number matters because most startups still market as if buyers make neat, fast decisions after one demo and a few emails. They do not. They research in private, compare in silence, and often decide who they trust long before sales ever notices the account exists.

For bootstrapped founders, freelancers, and small business owners, this is not abstract market trivia. It is a cash-flow issue, a staffing issue, and a patience issue. If your pipeline assumptions are built for a 30-day sales cycle while your market behaves like a 272-day committee process, your forecasting is fiction.

“The winning vendor is often on the shortlist from the start.” That single line should make every founder rethink late-stage persuasion tactics. If buyers are choosing favorites before contact, your visibility during the hidden research phase becomes more important than your closing script.


How were these B2B buyer journey numbers selected?

I pulled this article together from recent benchmark sources cited in the supplied dataset, with the strongest numbers coming from buyer research and customer telemetry summarized by sources such as B2B buyer journey statistics 2026 benchmarks, the 13-touchpoint rule and full journey analysis, and commentary around Dreamdata’s 2026 B2B sales cycle benchmark. I also cross-checked directional patterns against summaries of 6sense and Gartner findings included in the source set.

The time frame is mainly 2025 to 2026, which matters because buyer behavior has been shifting fast. Geographic coverage is mostly global. Some benchmarks come from US-heavy datasets, and that matters for EU founders because buying committees, procurement culture, and legal review can differ across Europe. Treat every statistic here as directional, not prophetic. Your category, deal size, and region still shape the real number.

Also, a methodological note. Some sources count only content consumed, while others count the full sequence of interactions across channels. That is why you will see both 13 pieces of content and 88 total interactions mentioned in serious B2B discussions. They measure different layers of the same buying process.

What are the headline B2B buyer journey length and touchpoint statistics founders should know?

  • 272 days is the average B2B buyer journey length in 2026.
    Founder takeaway: if your marketing plan gets judged after 30 days, you are cutting off channels before they have time to influence revenue.
  • 88 total interactions happen on average before a deal closes.
    Founder takeaway: one webinar, one cold email sequence, or one LinkedIn post will never carry the whole sale.
  • 10 people are involved in the average buying process.
    Founder takeaway: selling to one enthusiastic champion is risky because internal consensus can still kill the deal.
  • 70% of the journey is spent in independent research.
    Founder takeaway: your content, reviews, reputation, and search visibility work while your sales team sleeps.
  • 81% of the observed process happens outside the sales pipeline.
    Founder takeaway: CRM data shows only a slice of reality, so founders who trust CRM alone usually misread demand.
  • 94% of buying groups rank their preferred vendor before contacting sales.
    Founder takeaway: if you enter the conversation late, you are often entering as a backup option.
  • 95% of winning vendors were already on the Day One shortlist in one cited benchmark.
    Founder takeaway: category presence beats heroic last-minute selling.
  • 77% of the time, buyers purchase from the vendor they already favored.
    Founder takeaway: pre-sales trust compounds like capital.
  • 61% through the journey is when first seller contact now happens in one 2025 buyer study, down from 69%.
    Founder takeaway: buyers may contact sellers slightly earlier than before, but they are still far from early-stage.
  • 5.1 vendors are evaluated on average in one cited benchmark.
    Founder takeaway: if your positioning sounds generic, you will be compared like a commodity.

Why does a 272-day buyer cycle hit bootstrapped and EU founders harder?

Let’s break it down. A long buying cycle hurts every company, but it punishes smaller teams more. A VC-backed firm can tolerate months of invisible influence because it has headcount, paid media budgets, and sales development reps feeding the machine. A bootstrapped founder usually has one marketer, one seller, or more often the same exhausted human doing both jobs.

From my own work across CADChain and Fe/male Switch, I have learned that long enterprise sales cycles punish sloppy systems. In deeptech and compliance-heavy categories, buyers do not just buy software. They buy trust, legal comfort, internal political safety, and a story they can defend inside their organization. That means a founder cannot rely on charisma alone. You need repeated exposure, proof, and language that helps buyers explain your product to other people inside the room.

This is also where many women founders get bad advice. They are often told to be more visible, more confident, more inspirational. Fine, but women do not need more inspiration; they need infrastructure. If the buying process lasts 272 days, then the answer is not random posting. The answer is a system that keeps your company visible and credible over time without requiring daily emotional labor.

What do 88 interactions really mean in plain English?

The number 88 scares people because they imagine 88 direct conversations. That is not what the benchmark means. It refers to the full set of measurable brand interactions across channels, such as ad exposure, website visits, content consumption, email opens, webinar attendance, review reading, sales calls, and return visits. The exact channel mix varies, but the practical message is clear: B2B buying is repetitive and cumulative.

This also solves the false debate around the old 13-touchpoint rule. One cited source explains that buyers may deliberately consume around 13 pieces of content, but the whole buying process is much larger. So founders should think in two layers:

  • Content layer: what buyers intentionally read, watch, or download.
  • Journey layer: every interaction that builds familiarity, trust, and recall across the full buying cycle.

If you only plan for the content layer, you underestimate how much repetition the market needs. If you only plan for the journey layer, you may flood the market with noise and still fail to publish the assets buyers actually use to justify a purchase.

What does 70% independent research mean for founders who sell services, software, or consulting?

70% of the buyer journey happening in independent research means buyers are educating themselves before they ever ask for your time. They search Google, ask peers, scan communities, compare your site against rivals, look up founders, and try to estimate risk before they reveal interest. If you are invisible during that stage, you are trying to win a race after the medals were already assigned.

For freelancers and consultants, this is a gift if you use it well. Buyers are no longer judging only your pitch. They are judging your digital footprint. A solo founder with a sharp niche site, a good statistics article, and clear proof can outperform a larger competitor with a bland brand. I say this as someone who has built no-code and AI-assisted systems to help small teams look much bigger than they are. Small teams can compete, but only if they stop acting small in public.

Here is why this matters so much in Europe. Buyers often cross borders, legal frameworks differ, and trust carries extra weight when procurement has to justify buying from a newer vendor. In that setting, your website copy, public references, educational content, and founder narrative do part of the selling before a call ever happens.

Next 90 days: moves founders can make

  • Publish one category-defining page that answers the exact buying questions your market asks before demos.
  • Create one comparison asset, such as a buyer checklist, vendor evaluation template, or pricing logic explainer.
  • Audit your brand for consistency across website, LinkedIn, review sites, guest appearances, and founder bios. Buyers notice mismatches.

How dangerous is it that the winning vendor is often chosen before sales contact?

Very dangerous, especially if you still think your sales call is where persuasion starts. The supplied data says 94% of buying groups rank their preferred vendor before contacting sellers, and one benchmark says the winning vendor is on the Day One shortlist 95% of the time. Another figure says buyers purchase from their pre-contact favorite about 77% of the time.

That means many founders are solving the wrong problem. They are obsessed with closing better when they should be obsessed with being shortlisted earlier. This is not a small distinction. It changes budget, hiring, content, and founder time allocation.

I tend to be provocative about this because startup education is often too safe and too detached from buyer behavior. Founders are taught funnel diagrams that imply a linear sequence of awareness, interest, and purchase. Real B2B buying is messier. Committees loop back, reopen evaluation, ask peers, revisit old options, and pull in legal or finance late. If you are not already present in that loop, your rep may end up performing in a theatre where the cast was selected months ago.

What should founders do instead?

  • Build shortlist presence, not only demand capture. That means category pages, expert commentary, buyer education, and social proof that can be found without speaking to you.
  • Train for internal resale. Give your champion short decks, one-page briefs, ROI calculators, and objections answered in writing so they can sell your case internally.
  • Own one memorable angle. Generic “all-in-one platform” language dies in committee review. Sharp positioning survives retelling.

How does a 10-person buying group change the sales and content playbook?

When a purchase involves 10 people, you are not selling one product to one person. You are selling different kinds of reassurance to different roles. A technical evaluator may care about security and interoperability. A finance lead may care about cost exposure. An operations lead may care about roll-out pain. A founder or executive sponsor may care about timing and risk. A legal reviewer may care about contract exposure.

This is where my background in linguistics and pragmatics becomes useful. Language is not decoration. Language is an interface. If your site uses one generic message for every reader, you force the buyer to do translation work inside the company. Most will not do it well. Strong B2B companies reduce that burden by preparing persona-specific explanations that still support one coherent story.

For deeptech companies, this matters even more. At CADChain, we have had to explain blockchain, IP management, CAD workflows, and compliance in ways that make sense to engineers, legal teams, and business leads at the same time. The lesson is simple: if your buyer needs a dictionary to retell your value, your deal slows down.

Next 90 days: committee-ready moves

  • Create three versions of your core pitch: one for technical readers, one for finance or procurement, and one for executive sponsors.
  • Add a “how to explain this internally” section to your proposal or deck.
  • Map every lost deal to the missing internal voice. Was it legal, finance, product, security, or procurement?

Are buyer cycles getting shorter or longer in 2026?

This is one of the messiest parts of the data, and it is worth treating honestly. The supplied material includes one benchmark showing an average cycle length of 10.1 months, down from 11.3 months. At the same time, telemetry-based reporting points to an average observed journey of 272 days, which is roughly 9 months, and some commentary says this figure rose from an earlier benchmark around 211 days.

So what is going on? Different studies measure different things. Buyer surveys often track self-reported stages, while telemetry tracks observable activity. Some define the cycle from need recognition to purchase. Others count only the measurable digital path. Some samples skew toward enterprise software, while others mix segments. The smart founder does not panic over the disagreement. The smart founder notices the common pattern: B2B buying still takes months, remains committee-heavy, and begins long before sales contact.

That is enough to act on. You do not need fake precision to fix a broken go-to-market model.

What does this mean for bootstrapped startups versus VC-funded startups?

Bootstrapped startups and VC-funded startups face the same buyer, but not the same margin for error. A funded company can survive longer periods of hidden influence and can afford channel redundancy. A bootstrapped company cannot spray efforts across paid ads, outbound, events, partnerships, content, and account-based plays all at once unless it enjoys burning attention and money.

My view is blunt. If you are bootstrapped, stop pretending you can win by copying the channel mix of larger firms. You need fewer channels, more repetition, and sharper positioning. I default to no-code and automation until I hit a hard wall, and I apply the same logic to go-to-market. Founders should automate research, drafting, account tracking, and content repurposing so human time goes to judgment, negotiation, and category insight.

Women-led startups face another layer. If external capital is harder to access, then your market presence must compound without huge ad budgets. That pushes you toward search-led content, founder authority, strategic partnerships, peer recommendations, and sales assets that work in your absence.

Practical channel priorities for lean teams

  • Content plus search: because buyers self-educate for months.
  • Email nurturing: because 272-day cycles punish one-and-done follow-up.
  • Founder-led authority: because shortlist selection often happens before first contact.
  • Peer proof: because recommendations still influence vendor trust.

What are the most useful founder interpretations of these statistics?

Let’s make the numbers practical. Statistics are useless if they stay decorative. Here is what the pattern says to me as a founder who has built in Europe across technical and educational markets.

  • 272 days means your content calendar is a sales asset. If a buyer researches for months, then educational content is part of deal creation, not brand vanity.
  • 88 interactions means consistency beats bursts. A campaign spike followed by silence will underperform a quieter but sustained presence.
  • 10 people means your single-champion strategy is fragile. Internal politics can reverse a seemingly warm deal.
  • 70% independent research means buyers prefer self-service before conversation. Your site must answer questions without forcing a demo too early.
  • Preferred vendor chosen early means your category framing matters more than your discounting. Founders who rely on price cuts usually arrive too late.

What are my quotable predictions for 2027?

These are informed predictions built from the numbers above and from what I have seen in founder ecosystems, deeptech sales, and no-code startup building.

“By 2027, B2B startups that publish buyer-education content for every stage of a 9 to 10 month cycle will outperform louder competitors that still treat content as campaign support.”

“By 2027, founders who build shortlist visibility before they build larger sales teams will close more deals per headcount than firms that enter only at demo stage.”

“By 2027, women-led and bootstrapped EU startups that turn founder knowledge into searchable assets will gain a disproportionate share of inbound trust because trust compounds where ad spend is limited.”

“By 2027, the most dangerous B2B metric will be false pipeline visibility, because the majority of buying activity still happens before the CRM wakes up.”

“By 2027, AI-assisted solo founders will compete above their weight in B2B markets if they use automation for research, follow-up, and content production, while keeping human judgment for positioning and negotiation.”

Where is the data inconsistent or under-researched?

This topic has real data gaps, and pretending otherwise would make the article weaker. First, there is inconsistency in cycle length. One source says average B2B buying cycles dropped from 11.3 months to 10.1 months. Another benchmark points to 272 days and suggests a longer observed process than before. That conflict likely comes from differences in sample design and what counts as the beginning of a buying process.

Second, there is still not enough segmentation by bootstrapped versus VC-backed companies. Most benchmarks treat all vendors as if they compete with similar resources. They do not. A small founder-led company selling into enterprise faces a very different visibility problem than a funded category leader.

Third, data on women-led startups in specific EU countries remains thin. We have broad narratives about funding gaps and access barriers, but not enough buyer-journey research sliced by founder profile, geography, and team structure. The same goes for solopreneurs. Their path is under-documented even though many B2B service businesses and micro-SaaS products begin that way.

Fourth, committee data is often simplified. “10 people” is useful, but buying groups differ by category. Procurement-heavy purchases in Germany, France, the Netherlands, or the Nordics may behave differently from founder-led SaaS purchases in smaller firms. Regulation, language, and public procurement habits also shape timing in Europe.

How should bootstrapped startups use these B2B buyer journey statistics?

For bootstrapped startups

  • Stat to act on: 272-day buyer cycle.
    Move: judge channels over 90 to 180 days, not 2 weeks.
  • Stat to act on: 70% independent research.
    Move: put budget into searchable content and buyer FAQs before increasing sales tooling.
  • Stat to act on: 94% rank vendors before contact.
    Move: create shortlist assets such as comparison pages, proof-heavy landing pages, and founder credibility pages.

For women-led startups

  • Stat to act on: 81% of the process happens outside the visible pipeline.
    Move: build public authority where invisible research happens, including search, podcasts, communities, and educational articles.
  • Stat to act on: 10-person buying groups.
    Move: prepare internal-selling materials so one supporter inside the account is not left alone defending the purchase.
  • Stat to act on: shortlist decisions happen early.
    Move: focus on infrastructure that compounds trust, not endless motivational posting.

For solopreneurs and freelancers

  • Stat to act on: 88 total interactions.
    Move: repurpose one strong article into email sequences, LinkedIn posts, webinar talking points, and proposal links.
  • Stat to act on: buyers do most research alone.
    Move: answer pricing, process, timeline, and objection questions publicly to reduce friction before calls.
  • Stat to act on: buyers often choose favorites before contact.
    Move: own a niche and become the obvious specialist rather than the generic generalist.

For EU startups

  • Stat to act on: 10-person buying groups.
    Move: localize messaging for cross-border buying where legal, procurement, and language concerns vary.
  • Stat to act on: months-long cycles.
    Move: use grants, incubators, and public support programs to cushion long revenue timing.
  • Stat to act on: hidden research dominates.
    Move: treat founder reputation, compliance clarity, and thought visibility as pre-sales assets.

What should founders avoid when reacting to these numbers?

  • Do not overreact by adding every channel. More channels without message discipline creates chaos.
  • Do not confuse activity with memory. Buyers need repeated coherent signals, not random bursts of content.
  • Do not rely on one internal champion. Multi-person buying groups kill single-threaded deals.
  • Do not hide prices, process, or product detail unless there is a real reason. Self-directed buyers punish vague vendors.
  • Do not wait for a demo request to begin nurturing. By then, rankings may already exist.
  • Do not measure only direct attribution. Long B2B buying cycles create delayed and mixed influence.

What is a simple framework founders can use right now?

I like simple systems because founders rarely fail from lack of theory. They fail from scattered action. Use this four-part framework over the next quarter.

  1. Observe
    Gather your own benchmarks. Measure cycle length, source of first contact, average deal participants, and repeat site visits.
  2. Interpret
    Ask what the numbers mean for your actual business model. A 9-month software sale and a 6-week consulting sale need different pacing.
  3. Act
    Choose one change. Build one shortlist page, one committee-focused sales asset, or one nurture sequence tied to independent research behavior.
  4. Adapt
    Review after 90 days. Keep what increased qualified conversations, returning visitors, and deal progression. Cut what produced noise without movement.

What is the practical checklist for the next 90 days?

  • Pick 2 statistics from this article that contradict your current sales assumptions.
  • Rewrite your forecast using a buyer cycle closer to 272 days if your market sells into teams.
  • Create 1 shortlist asset, such as a comparison page, buyer guide, or evaluation checklist.
  • Create 3 role-based message versions for different people in the buying group.
  • Build 1 nurture sequence that assumes buyers are still researching, not ready to buy.
  • Audit whether your website answers the top 10 buyer questions without requiring a call.
  • Track one signal of hidden demand, such as repeat visits from target accounts, branded search, or return visitors to product pages.
  • Review after 90 days and compare pipeline quality, not just raw lead count.

If you remember only one idea, remember this: B2B buyer journey length and touchpoint statistics are really statistics about trust formation under uncertainty. Buyers have more people, more risk, and more private research than most founders admit. If you build for that reality early, you earn a place on the shortlist. If you ignore it, you spend months pitching accounts that already chose someone else.


People Also Ask:

How long is the average B2B buyer journey?

The average B2B buyer journey is often reported at about 272 days from first interaction to closed revenue. Some sources also describe the average B2B buying cycle as roughly 10 to 11 months, while larger or more involved deals can stretch beyond 12 months.

How many touchpoints are in a typical B2B buyer journey?

A typical B2B buyer journey is commonly cited at around 88 buyer interactions across multiple channels. Other sources show lower or older benchmarks, such as 60+ or 76 interactions, which suggests the number has been rising as buying groups research more before making a purchase.

How many channels do B2B buyers use before purchasing?

Many reports show B2B buyers engaging across about 4 channels during the buying process. These can include search, social platforms, website visits, email, review sites, events, and direct sales contact.

How many people are involved in a B2B buying decision?

B2B buying decisions often involve around 10 people in the buying group. This group may include budget owners, end users, technical reviewers, procurement, and senior leaders, which is one reason B2B purchases often take longer than consumer purchases.

What percentage of the B2B buyer journey happens digitally?

Recent search results suggest that about 67% of the B2B buyer journey now happens through digital channels. Buyers often complete much of their research on websites, search engines, content hubs, and peer review platforms before speaking with sales.

Do B2B buyers prefer a sales rep-free experience?

Yes, many B2B buyers prefer less direct sales involvement early in the process. Gartner reports that 75% of B2B buyers prefer a rep-free sales experience, showing that self-service research and digital content play a major role in modern B2B buying.

Are B2B buying cycles getting shorter or longer?

The answer depends on the source and deal type. Some reports say the full process is getting longer because more people and buyer interactions are involved, while other sources report the average buying cycle has fallen from 11.3 months in 2024 to 10.1 months in 2026. In short, simpler deals may close faster, while larger deals still take longer.

Are B2B buyer journeys becoming more complex?

Yes, B2B buyer journeys are becoming more layered. Search results point to rising interaction counts, more channels, and bigger buying groups, all of which make the process harder to map and measure from first visit to closed deal.

How much have B2B buyer interactions increased in recent years?

Several sources show clear growth in buyer interactions. One result cites a jump from 76 to 88 buyer interactions year over year, while another notes a 19.8% increase in the interactions needed to close deals in 2024. This points to a buying process that now includes more research and more back-and-forth before purchase.

What is a good benchmark for B2B buyer journey statistics in 2026?

A useful 2026 benchmark is about 272 days, 88 buyer interactions, 4 channels, and 10 people involved in the purchase. These figures appear across multiple search results and give a practical snapshot of how long and layered modern B2B buying has become.


FAQ on B2B Buyer Journey Length and Touchpoint Statistics in 2026

How should founders model cash flow when B2B sales cycles stay hidden for months?

Use a lag-based forecast, not a lead-count fantasy. Assume revenue trails awareness by quarters, then track leading indicators like repeat visits, branded search, and multi-stakeholder engagement. Use the Bootstrapping Startup Playbook to plan around long revenue gaps. See Dreamdata’s B2B customer journey benchmark.

Which touchpoints matter most when buyers do most research before contacting sales?

Prioritize searchable pages, comparison content, review visibility, founder credibility, and nurture emails. These support self-serve evaluation better than random campaign bursts. Build compounding visibility with SEO for Startups. Review InfiniGrow’s breakdown of B2B customer journey touchpoints.

How can a startup tell whether a long buyer journey is healthy or just stalled?

Healthy journeys show returning activity, new stakeholders appearing, deeper page views, and proposal recirculation. Stalled deals go quiet or stay with one contact only. Track hidden demand with Google Analytics for Startups. Explore Adobe’s guide to deeper B2B customer journey intelligence.

What content assets help buyers defend your product internally?

Create a one-page business case, ROI explainer, security summary, implementation outline, and competitor comparison. These reduce the retelling burden inside committees. Strengthen founder-led positioning with LinkedIn for Startups. See how Sogolytics explains buying-committee touchpoints.

How do deal size and company size affect B2B touchpoint volume?

Larger deals usually require more impressions, more validation, and more internal approvals, so touchpoint counts rise with contract value and organizational complexity. Small founders should budget attention accordingly. Automate repetitive follow-up with AI Automations For Startups. Study HockeyStack’s analysis of touchpoints by deal and company size.

What is the best way to measure dark-funnel influence without perfect attribution?

Stop chasing perfect attribution and measure directional signals: direct traffic lifts, branded search growth, return visitors from target accounts, and assisted conversions. Use Google Search Console for Startups to monitor search-led demand. Read Acquire’s B2B customer journey overview with Gartner’s supplier-time benchmark.

How should consultants, agencies, and freelancers adapt to a multi-touch B2B journey?

Turn expertise into reusable assets: publish strong FAQs, case studies, process pages, and proposal-ready proof. Service buyers also research silently before calls. Build authority with the Female Entrepreneur Playbook. Check the startup-focused Japan roundup discussing buyer behavior and scalable visibility.

When does paid acquisition make sense in a 272-day B2B buying cycle?

Paid channels work best when they amplify strong intent-capture pages and retarget returning researchers, not when they force premature demos. Plan patient acquisition with PPC for Startups. See LinkGraph’s view of the long B2B customer journey across awareness to retention.

How can EU startups reduce friction in cross-border B2B buying journeys?

Clarify compliance, contracts, onboarding, language, and procurement expectations early. In Europe, trust often depends on operational clarity as much as product quality. Use the European Startup Playbook for market-specific growth decisions. Review Qualtrics’ framework for optimizing the B2B customer journey.

What should founders do first if their CRM only shows late-stage buyer activity?

Instrument pre-pipeline signals before buying more sales software. Improve analytics, content discoverability, and account-level observation so you see research behavior earlier. Combine measurement and visibility with AI SEO For Startups. Read CustomerGauge’s guide to B2B customer journey mapping and touchpoints.


MEAN CEO - B2B buyer journey length and touchpoint statistics (2026) | STARTUP EDITION | B2B buyer journey length and touchpoint statistics

Violetta Bonenkamp, also known as Mean CEO, is a female entrepreneur and an experienced startup founder, bootstrapping her startups. She has an impressive educational background including an MBA and four other higher education degrees. She has over 20 years of work experience across multiple countries, including 10 years as a solopreneur and serial entrepreneur. Throughout her startup experience she has applied for multiple startup grants at the EU level, in the Netherlands and Malta, and her startups received quite a few of those. She’s been living, studying and working in many countries around the globe and her extensive multicultural experience has influenced her immensely. Constantly learning new things, like AI, SEO, zero code, code, etc. and scaling her businesses through smart systems.