Skip to main content

5 VCs agree: COVID-19 reshaped adtech and martech

We last surveyed VCs about their advertising and marketing investment strategies back in January — which is to say, in a completely different world, before the coronavirus pandemic began to wreak havoc on the global economy.

While there don’t appear to be any comprehensive numbers yet about the effect on digital advertising (which is, after all, still playing out), early data and anecdotes suggest a rapid decline, with some categories of ad spend disappearing entirely.

And as we noted in our previous survey, Crunchbase data shows that adtech had already fallen at a roughly 10% compounded annual growth rate over the last five years.

So what does the landscape look like now, and where are the remaining opportunities? To find out, we’ve compiled updated answers from two investors who participated in the previous survey and brought in three new perspectives:

For the most part, they acknowledged the landscape’s challenges — not just the pandemic, but the general maturity of the industry — while also pointing to opportunities in areas like machine learning. As Elton put it succinctly, “Marketing and advertising are not going away.”

Eric Franchi, MathCapital

How much time are you spending looking at marketing tech or adtech startups right now? Are you more focused on one or the other?

Adtech and martech are our main categories as a fund. We selectively invest in categories that might benefit from it (think DTC brands or media) or be of benefit to it (think next-generation CRM or HR tech). But 90%+ of our focus is adtech and martech.

What are you looking for in your next investment?

As always — team first. We look for founding teams with talent, vision and grit. We keep a fairly wide berth in terms of products and categories but we are spending much of our time focused on two themes: the post-privacy era in marketing (i.e. new, cookieless, compliant forms of identity and infrastructure) and future of digital media (i.e. video, OTT, audio, etc.).

How has COVID-19 impacted the adtech and martech investing landscape? Are there still opportunities?

Dealflow is down somewhat, but we are still seeing great opportunities. We have several investments in the pipeline for Q2. The challenges right now are similar to other sectors: spending time getting to know teams and calibrating expectations for growth in a Zoom-only (for now) world.

What kind of advice are you giving to your portfolio companies?

Right now, two months post-lockdown, most adjustments have been made to budgets and plans, teams (and customers) are adjusted to being fully remote and things have somewhat stabilized. Now is the time to get teams focused on sales and marketing. It’s a unique and rare time to outflank larger, slower-moving competitors and adapt to the market.

Christine Tsai, 500 Startups



from TechCrunch https://ift.tt/3i0CpfI
via IFTTT

Comments

Popular posts from this blog

Apple’s AI Push: Everything We Know About Apple Intelligence So Far

Apple’s WWDC 2025 confirmed what many suspected: Apple is finally making a serious leap into artificial intelligence. Dubbed “Apple Intelligence,” the suite of AI-powered tools, enhancements, and integrations marks the company’s biggest software evolution in a decade. But unlike competitors racing to plug AI into everything, Apple is taking a slower, more deliberate approach — one rooted in privacy, on-device processing, and ecosystem synergy. If you’re wondering what Apple Intelligence actually is, how it works, and what it means for your iPhone, iPad, or Mac, you’re in the right place. This article breaks it all down.   What Is Apple Intelligence? Let’s get the terminology clear first. Apple Intelligence isn’t a product — it’s a platform. It’s not just a chatbot. It’s a system-wide integration of generative AI, machine learning, and personal context awareness, embedded across Apple’s OS platforms. Think of it as a foundational AI layer stitched into iOS 18, iPadOS 18, and m...

The Silent Revolution of On-Device AI: Why the Cloud Is No Longer King

Introduction For years, artificial intelligence has meant one thing: the cloud. Whether you’re asking ChatGPT a question, editing a photo with AI tools, or getting recommendations on Netflix — those decisions happen on distant servers, not your device. But that’s changing. Thanks to major advances in silicon, model compression, and memory architecture, AI is quietly migrating from giant data centres to the palm of your hand. Your phone, your laptop, your smartwatch — all are becoming AI engines in their own right. It’s a shift that redefines not just how AI works, but who controls it, how private it is, and what it can do for you. This article explores the rise of on-device AI — how it works, why it matters, and why the cloud’s days as the centre of the AI universe might be numbered. What Is On-Device AI? On-device AI refers to machine learning models that run locally on your smartphone, tablet, laptop, or edge device — without needing constant access to the cloud. In practi...

Max Q: Psyche(d)

In this issue: SpaceX launches NASA asteroid mission, news from Relativity Space and more. © 2023 TechCrunch. All rights reserved. For personal use only. from TechCrunch https://ift.tt/h6Kjrde via IFTTT