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The Influence Project

Live Podcast Archive: Gian M. Fulgoni on Marketing Measurement and comScore

Jennifer Neeley · August 10, 2026 ·

Originally published September 15, 2009 as a podcast and interview archive. Updated August 29, 2026 with editorial context and links to Jennifer Neeley’s current analysis of marketing metrics and business impact.

This page preserves a legacy podcast feature with Gian M. Fulgoni of comScore. It has been lightly updated so readers can connect the original measurement conversation to Jennifer Neeley’s current work on marketing strategy, influence, trust, and business-impact metrics.

Editor’s Update, 2026

Gian M. Fulgoni, then executive chairman and co-founder of comScore, was part of an earlier era of digital measurement when marketers were still learning how to compare audience behavior, campaign exposure, and business outcomes across a changing media environment.

That question has not aged out. It has become more urgent.

Marketing leaders now have more dashboards, attribution models, platform metrics, AI summaries, social analytics, customer data, and performance reports than ever. But more measurement has not automatically created better judgment. The hardest problem is still deciding which metrics reflect business value, which metrics reflect platform activity, and which metrics are being treated as proof simply because they are easy to see.

For Jennifer Neeley’s current analysis, read Your Metrics Say It’s Working. Your Business Says It’s Not. Here’s Why.

This archive remains what it is: a historical interview record with a current editorial bridge. The update helps readers understand why the conversation still matters without erasing the original guest, replacing the archive with a new essay, or creating duplicate content across the site.

Original Podcast Archive

Gian M. Fulgoni
Gian M. Fulgoni

Anyone who knows me knows I love analytics. Metrics and their analysis are areas that, I believe, have yet to see their day. If they had, I think we would hear far fewer questions about return on investment.

That was my take in 2009. What was the perspective of analytics executive Gian M. Fulgoni?

Mr. Fulgoni was executive chairman and co-founder of comScore, one of the companies shaping how the digital world was measured. It was a thrill to welcome Gian to The A-List for a conversation about measurement and marketing.

Archive note: the original BlogTalkRadio player and episode link no longer resolve. The historical page context is preserved here while a recoverable audio source is investigated.

Historical Guest Biography

The following biographical information is preserved as it appeared with the 2009 interview. It describes roles, affiliations, and achievements at that time and should not be read as a current biography.

From 1981 to 1998, Mr. Fulgoni was president and CEO of Information Resources, Inc. (IRI), a global supplier of retail scanner data to the consumer packaged goods industry. The original biography described IRI’s growth during his tenure and its recognition by Advertising Age as a leading U.S. market-research firm.

The 2009 biography also noted his recognition as Illinois Entrepreneur of the Year, his work with public technology companies, and board service spanning software, research, and entrepreneurship organizations. Educated in the United Kingdom, he held a B.Sc. in physics and an M.A. in marketing and was a co-holder of a U.S. patent related to comScore’s data-collection technology.

For current information about the company, visit comScore.

Related Current Analysis

For the current strategy argument, read Jennifer Neeley’s analysis of why marketing metrics can look healthy while business impact stays weak.

You can also explore Jennifer’s Insights, learn more about Jennifer Neeley, or see how this thinking informs Strategic Advisory.


About This Archive

This interview was originally produced and published by Jennifer Neeley and JND Global. It is preserved as part of Jennifer’s archive on marketing, media, measurement, and business strategy.

If your reports show activity but leadership still cannot see business impact, explore Strategic Advisory.

What Good Are Fitness Trackers If Patients Don’t Trust the Data?

Jennifer Neeley · June 29, 2026 ·

I first wrote about fitness trackers in 2015. Reading Medscape’s reporting from HLTH Europe 2026 on AI’s blind-trust problem brought me back to the question. The technology had changed. My skepticism about mistaking a device’s output for understanding had not.

At the conference, panellists raised concerns about clinicians and patients deferring to AI outputs rather than exercising independent judgment, as Patient Safety Learning’s summary of the discussion describes. AI systems and fitness trackers are not interchangeable. But the discussion sharpened the question I wanted to revisit: when does a useful health tool start to carry more authority than its evidence deserves?

The Question Was Never Just Whether the Tracker Worked

Early fitness trackers were sold as tiny accountability machines. Count the steps. Track the sleep. Watch the calories. Measure the movement. Improve the behavior.

It was easy to be skeptical, and it was also easy to be seduced. A device on the wrist could make invisible habits visible. For consumers, that felt powerful. For marketers, healthcare companies, wellness brands, and digital-health founders, it opened an even bigger question: what happens when personal behavior becomes a stream of data?

In 2026, that question is no longer about whether a consumer device can count steps better than an older model. It is about whether people can understand, trust, protect, and act on the health data that increasingly shapes their decisions.

That is a much more serious marketing and leadership problem.

Data Does Not Automatically Create Confidence

Wearables can be useful. They can help people notice patterns, prepare for conversations with clinicians, stay engaged with behavior change, and feel more connected to their own routines. For some users, the feedback loop can be motivating.

But data does not automatically become trust.

A number on a screen raises follow-up questions. Is it accurate enough for this purpose? What does it actually measure? What does it not measure? Is the device estimating, detecting, predicting, or diagnosing? Who can see the data? What happens if the number is wrong? Does the user understand the difference between a wellness signal and medical advice?

Those questions matter because wearable data often feels more authoritative than it is. A clean interface can make estimates feel certain. A trend line can make a guess feel clinical. A notification can make a person anxious even when the underlying signal is limited.

The design may be elegant. The interpretation may still be fragile.

The Trust Problem in Digital Health

For healthcare, FemTech, fertility, mental health, and wellness brands, the issue is not whether to use data. The issue is how to earn trust around data.

Patients and consumers need to know what kind of claim is being made. A wellness app, a wearable tracker, a clinical device, and a provider recommendation do not carry the same evidence burden. They should not be marketed as if they do.

That distinction can get blurry quickly. A device may encourage healthy behavior without being clinically valid for every use case. A dashboard may show useful trends without being a diagnostic tool. A user may bring wearable data into a healthcare conversation, but that does not mean the data should be treated as complete, accurate, or decisive.

Good communication has to slow that down.

The marketing question is not, “Can we make the data sound impressive?” The better question is, “Can we help people understand what this data can and cannot responsibly tell them?”

Privacy Is Part of the Product

Trust in wearable health data is also inseparable from privacy.

Consumers often experience health apps and wearables as personal tools, but the data can be commercially valuable, operationally sensitive, and emotionally intimate. Location, activity, sleep, menstrual health, fertility, mood, medication routines, and biometric patterns can reveal more than users may realize.

A brand that treats privacy as legal boilerplate is missing the point. Privacy is part of the trust proposition.

People need plain-language explanations of what is collected, why it is collected, how it is used, who it is shared with, what choices the user has, and what happens if something changes. In high-trust categories, vague privacy language is not just a compliance risk. It is a conversion problem.

People do not only ask, “Does this work?” They ask, “Can I trust you with this part of my life?”

Behavior Change Still Requires Human Meaning

The most optimistic promise of fitness trackers was that measurement would lead to change. Sometimes it can. But behavior change is not created by data alone.

A person can know their steps and still be exhausted. They can see their sleep trend and still lack childcare, money, time, safety, care access, or emotional capacity. They can receive reminders and still feel shame instead of support.

That is where digital-health communication often fails. It treats the data point as the story, when the real story is the person’s context.

For leaders, the opportunity is to design and communicate around human meaning. What does the data help someone notice? What decision does it support? What should they do if they are worried? When should a clinician be involved? What language reduces unnecessary fear? What language respects uncertainty?

The more personal the data, the more careful the communication needs to be.

What Healthcare and FemTech Leaders Should Do

  1. Distinguish wellness, behavioral, and clinical claims. Do not let the product page make a device or app sound more certain than the evidence supports.
  2. Explain limitations in normal language. A limitation is not a weakness if it helps the right person use the product appropriately.
  3. Build privacy into the brand experience. Privacy should not live only in the footer. It should be part of the user’s decision journey.
  4. Design for interpretation, not just collection. If a data point could create anxiety or confusion, the product and content need a clear explanation path.
  5. Treat trust as a growth strategy. In digital health, trust is not a soft value sitting outside performance. It is part of adoption, retention, referrals, and responsible scale.

The question “What good are fitness trackers?” has a sharper answer now.

They are useful when they help people notice patterns, ask better questions, and take appropriate next steps. They are risky when they turn estimates into certainty, data into pressure, or private signals into poorly explained business assets.

The future of digital health will not be won by the brands that collect the most data. It will be won by the brands that help people understand what the data means, what it does not mean, and why the organization deserves to be trusted with it.

Related Work

Explore Healthcare Advisory, read more Insights on trust and growth, or learn about Jennifer’s broader Strategic Advisory work.

Originally published September 10, 2015 as a reflection on consumer fitness trackers. Substantially updated August 29, 2026 to address wearable health data, patient trust, privacy, and digital-health communication.

Sources and Further Reading

  • Medscape: AI’s ‘Blind Trust’ Problem Puts Patients at Risk – reporting from HLTH Europe 2026 that prompted this revisit.
  • Patient Safety Learning: summary of the HLTH Europe blind-trust discussion.
  • FDA Digital Health Center of Excellence
  • FDA guidance on low-risk general wellness products
  • HHS guidance on health apps and HIPAA
  • FTC Health Breach Notification Rule guidance
  • FTC guidance on health-product claims

If your healthcare, FemTech, or wellness brand is asking people to trust sensitive data, explore Healthcare Advisory.

Europe’s Top Tech Cities, Revisited: Where Innovation, Talent and Quality of Life Could Move Next

Jennifer Neeley · June 20, 2026 ·

An archive is not a museum. It is a record of what you noticed, what you missed and what the world taught you to ask next. Here I find myself revisiting a post from the archive with a fresh take.

I first wrote about Europe’s emerging technology hubs in November 2015. I returned to the article in June 2026 as part of a larger project: going back through my own archive and testing old ideas against the questions that define my work now.

That is part of what I am developing through The Influence Project, Generationisms and my applied research. I am interested not only in whether an old prediction held up, but in how our assumptions about technology, ambition, work, trust and progress changed around it.

In 2015, my scorecard for a technology city was familiar: founders, capital, engineers, accelerators and digital infrastructure. Those variables still matter. Reading the article now, I was more interested in what the list did not capture.

Where can ambitious people build lives as well as companies? Which places make professional risk possible without requiring personal instability? What helps a city attract talent, and what gives people enough confidence to stay?

Those questions feel especially relevant from California. I was part of the first dot-com boom in the late 1990s, and I have watched the state sell more than sunshine ever since. It sold a working theory of ambition: if you wanted to build the future, you came here, worked harder than felt reasonable, paid more than seemed rational and accepted the trade because the talent, capital and velocity were supposed to be worth it.

California’s 2026 Proposition 40 debate is one reason this old article feels newly relevant. It has pulled wealth, residency, taxes, public services and technology leadership into the same uncomfortable conversation. This is not evidence that companies are already fleeing California en masse. It is a reason to revisit the larger question behind the original article: what makes a technology city worth choosing now?

What Proposition 40 does and does not establish

The California Legislative Analyst’s Office says affected billionaires may respond to the proposed wealth tax in ways that reduce income-tax payments, including leaving California. Its fiscal analysis estimates a possible ongoing revenue decrease of less than $1 billion per year, alongside temporary wealth-tax revenue of tens of billions over several years.

That is an official acknowledgement that behavior may change. It is not proof of a general company exodus.

The Yes on 40 campaign argues that the measure could raise approximately $100 billion for healthcare and that the January 1, 2026 residency date limits later relocation as a way to avoid the tax. Those are campaign claims, not neutral fiscal findings.

KPBS reported on campaign spending, competing migration claims and Sergey Brin’s reported move to the Nevada side of Lake Tahoe. One reported move does not prove a trend. But the public threat of movement has become part of how leaders evaluate risk.

Sometimes the strategic pressure is not only what has happened. It is what credible people believe might happen next.

A tech hub is more than startups and venture capital

My 2015 article relied on the familiar scorecard: founders, capital, engineers, accelerators and digital infrastructure.

Those variables still matter. They are no longer enough.

A serious 2026 location decision should evaluate:

  • early, growth and specialized capital;
  • depth in AI, deep tech, health technology, cybersecurity and product leadership;
  • research commercialization through universities, hospitals and corporate labs;
  • cost, housing, transportation and quality of life;
  • worker mobility, healthcare and basic security during career transitions;
  • institutional trust and regulatory predictability;
  • the ability to retain founders and employees after the first exciting year.

The old question was where the next startup hub would emerge.

The better question is where ambitious work can remain sustainable enough to keep its people.

Five European hubs, five different strategic bets

The European Commission’s Regional Innovation Scoreboard offers one authoritative framework for comparing innovation performance across regions. It is not a relocation ranking, and Europe should not be treated as one market or one regulatory personality.

The shortlist below is therefore not a declaration of a single winner. It is a map of distinct strategic advantages, informed by the Commission framework and current ecosystem reporting.

London: capital and global access

London remains the most obvious European choice when access to growth capital, global finance, international talent and English-language market entry matter most. Its breadth is the advantage: fintech, AI, life sciences, media and professional services can draw from overlapping networks.

The tradeoff is familiar. Cost and competition can shorten runway and reproduce some of the quality-of-life pressures that make California’s bargain feel less secure.

Paris: enterprise AI and state-backed scale

Paris is increasingly difficult to dismiss as a secondary European technology market. Its research institutions, engineering talent, public investment and enterprise-AI momentum create a credible base for companies building infrastructure rather than another lightweight consumer app.

For founders and companies that need technical legitimacy, large institutional partners and a path to later-stage capital, Paris offers a different proposition from London’s finance-led density.

Berlin: founder energy and international talent

Berlin’s appeal remains cultural as well as financial. It has a strong startup identity, international workforce and lower operating costs than London or Paris, even as housing pressure and bureaucracy complicate the old “cheap Berlin” story.

Its strategic advantage is experimentation: a company can recruit people who came to build a life in the city, not only to pass through a corporate headquarters.

Stockholm: specialization, public trust and sustainable ambition

Stockholm is especially interesting for health technology, fintech, climate and technically ambitious companies that do not need the largest possible city. Its record of globally visible technology companies gives it credibility beyond its size.

It also sharpens the quality-of-life argument. Scott Galloway has described trust, worker mobility, R&D and capital participation as part of Europe’s competitive infrastructure. That is his interpretation, not settled fact, but it points to something location models often underprice: public systems can reduce the personal risk of taking professional risks.

Zurich: research commercialization and deep-tech concentration

Zurich is the specialized bet. ETH Zurich, corporate R&D and the surrounding Swiss research ecosystem make it compelling for AI, robotics, climate technology and life sciences where technical depth matters more than startup volume.

It is not a low-cost alternative. It is a high-capability environment where a smaller ecosystem may offer unusually dense access to research and patient technical talent.

The younger-worker question is not a stereotype

Location strategy also has to account for a changing definition of a good career.

Suzy Welch and Becoming You Labs reported that Gen Z respondents in their Values Bridge research prioritized self-care, authentic self-expression and helping people. Welch reported only 2 percent overlap between the surveyed Gen Z value combination and the values surveyed hiring managers prioritized. The NYU Stern summary and primary white paper provide the methodology and limits.

This does not mean an entire generation is lazy, fragile or unwilling to achieve. It suggests a values mismatch between some younger workers and institutional expectations built around workcentrism.

The next generation of technical talent may still want ambitious work. They may be less willing to accept that ambition requires self-erasure.

A city competing for that talent cannot rely only on salary, nightlife and a famous company logo. Housing, healthcare, transportation, community, mobility and institutional competence become part of the employer value proposition whether the employer controls them or not.

Location is now a trust signal

Where a company chooses to build says something about what it values. The decision signals how leadership thinks about workers, customers, governance, cost and long-term credibility.

For California, the answer is not panic. The location bargain has to be continually re-earned.

For Europe, the opportunity is not to market itself as a cheaper or calmer imitation of Silicon Valley. It is to prove that technical ambition can coexist with quality of life, research depth and institutions people trust enough to build around.

I am not rooting against California. I am watching the bargain change.

The winning technology hub will not merely attract smart people. It will give them enough confidence in the future to stay.


Sources

  • California Legislative Analyst’s Office, Proposition 40 analysis.
  • California Secretary of State, qualified ballot measures.
  • Yes on 40 campaign.
  • KPBS, reporting on Proposition 40 and migration claims.
  • European Commission, Regional Innovation Scoreboard 2025.
  • EU Tech Future, 2026 city comparison, used as a secondary ecosystem source rather than an authoritative ranking.
  • Scott Galloway, Europe IRL.
  • Becoming You Labs, Hiring Managers vs. Gen Z Priorities.

An earlier version was published November 9, 2015.

If your organization is making a location, talent or market-positioning decision, explore Strategic Advisory.

Related: Generationisms | The Influence Project | About Jennifer Neeley

Dispatches From Web 2.0… Product Management 2.0

Jennifer Neeley · April 24, 2008 ·

Web 2.0 Product Management: Optimizing Metrics and Viral Growth – A very good presentation packed with information, so much so, I’m just embedding presenter Dan Olsen‘s sides for you to review…

[slideshare id=378465&doc=web-20-product-management-1209456441443094-9&w=425]

Dispatches From Web 2.0… Facebook Best Practices

Jennifer Neeley · April 24, 2008 ·

After the keynotes, it was on to the conference sessions, the first of which was Facebook Marketing: Best Practices, given by Jeremiah Owyang (Forrester Research), Evan Mager (AKQA), Holly Liu (Watercooler), Brett Keintz (750 Industries / Stanford GSB), Kevin Barenblat (Context Optional).

What we know about Facebook (from Facebook’s own stats page):

  • There are more than 70 million active users; more than half are out of college (older than MySpace demo).
  • There are more than 20,000 apps out there – and most are junk.
  • 40% of Facebook users have watched a video inside Facebook.

The panel suggested approaching Facebook like any other marketing tool -filter users for matches.
Engagement with community is key to leveraging Facebook.

When companies create apps, the panel also suggested partnering with app developers rather than building apps in-house. Companies that specifically make apps are keeping up with trends better and can usually help you leverage changes.

API changed the space between the site and user.

ROI is difficult to gauge because it’s so new; we do know traditional banner ads do not perform as well on Facebook. Must be an ad with virality.

Companies using Facebook are usually looking to accomplish the following:

  1. Audience /virality
  2. Engagement (brand)
  3. Monetization

When using Facebook, be sure to keep the content dynamic and fresh:

  1. Asset: Photo / Video / Discussion
  2. Social digital actions: Comment / rate
  3. Allow interesting interactions, e.g. Which Grey’s Anatomy Character Are You?

When building apps:

  • Build with friendships in mind, e.g. EA’s Smarty Pants, in which social interaction helps – and 5 million games have been played in the last few months as a result.

Need inspiration? The Stanford Facebook Class looked at what people do in everyday life for inspiration. Using that framework, one of the students came up with the idea for the successful app, Dodgeball.

Some other thoughts from the panelists:

  • Take some content you already have and make it available on Facebook so users can experience it there.
  • Facebook tends to be an immersive experience, like TV, and users tend not to like to leave the site. Companies have had success linking off Facebook, but keeping the Facebook look-and-feel.
  • Click-thrus tend to be low throughout Facebook, it might be better to look at Facebook as a syndication model rather than trying to get the page views from Facebook.
  • When using rich media, be sure to preserve the brand.
  • ROI is considered to be much higher within Facebook than driving users outside.
  • Measure success: Track everything and A/B test.

Good app examples:

Office Poke, branded MS Office

Some of the most ardent users are fans of sports and TV shows.

Beacons are another way to keep your brand out there, e.g. when Netflix sends you a new movie, the title and information is added to your mini-feed and broadcast to all your friends. Gamefly and Blockbuster do similar things – it’s a good way to get users to go to sites off Facebook.

Fan / Official pages are another good way to draw users. Recently, Sony and Target upped the ante, offering better experiences than on other, non-company pages.

So is the ad spend worth it? The panel cautioned all away from banners and said that any way to get into the news feed was most valuable (especially with video!).

Rock You has done a good job of leveraging audiences that are already on Facebook.

Who’s done it wrong?
Wal-Mart vs. Target back-to-school campaigns: Target had a roommate style search that allowed and encouraged users to talk to one another. Meantime, Wal-Mart had problems in execution; they disabled most if not all community features, which made users upset and made them comment negatively about the campaign / company elsewhere. Wal-Mart also almost exclusively sent users off to Wal-Mart.com, while Target had ways for users to engage there on Facebook (wallpaper downloads, videos, etc.).

Lessons learned:

  1. Don’t disable community
  2. Don’t just drive users back to your own site
  3. Let the page be a playground with things to use and experience

Another bad app were the Sony snow globes, which never quite worked.

Lessons learned:

  1. Make sure your app works
  2. The app must have a way for users to naturally share it. The app was great, but it needed more community.

Microsites in Facebook:

  • Sprite Sips was one of the first, but it’s not very social – a drawback.
  • (fluff)Friends is a better example of a page that functions almost like a microsite.

The overwhelming lesson of the session? Most go to Facebook without a goal. Don’t do that. Figure out what you want to do.

Some places Facebook apps still have far to go? Forwarding the conversation with regard to news and current events. The Washington Post, WSJ and Ernst and Young have had good examples.

The other lingering question was: Is Facebook enough? The panel agreed that everyone needs to be everywhere, including on Open Social sites.

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