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In growth marketing, signal determines success

Unlike a weak phone signal solely causing a grainy sound, in growth marketing, it can mean the difference between a successful program or a massive cash bleed. As we move toward an increasingly privacy-centric world, it is even more necessary for companies to nail down signal early on.

So what exactly is “signal” in growth marketing? It can carry many different meanings, but holistically speaking, it’s the event data in our arsenal to help guide decisions. When it comes to paid acquisition, it’s vital to optimize and pass back the correct event data to paid channels. This is so that targeting and bidding algorithms have the most enriched data to utilize.

I’ve seen startups spend thousands of dollars inefficiently as a result of not having optimal signal in their paid acquisition campaigns. I’ve also spent millions at companies such as Postmates refining our signal to the best possible state. I’d like every startup to avoid the painful mistake of not having this set up correctly, instead making the most of every important ad dollar.

The selection

When starting out, it may seem obvious to optimize toward a north-star metric such as a purchase. If spend is very minimal, that could mean that the conversion volume will be low across campaigns. On the flip side, if the optimization event is set at a top-of-funnel event such as a landing page view, the signal strength may be very weak. The reason that the strength may be weak is due to passing back a low-intent event as successful to the paid channels. By marking a landing page view as successful, paid channels such as Facebook will continue to find users that are similar to these lower-propensity users that are converting.

Let’s take an example of a health-and-wellness app with a goal of driving memberships to their coaching program. They’re just starting out with exploring paid acquisition and spending $5,000 per week on Facebook. Below is a look at their events in the funnel, weekly volume and cost per event:

Example of a health-and-wellness app and their weekly conversion volume at $5,000 spend. Image Credits: Jonathan Martinez

In the above example, we can see that there’s significant volume for landing page views. As we go down the simplified flow, there is less volume as users drop off the funnel. Almost everyone’s instinct would be to optimize for either the landing page view, because there’s so much data, or the subscription event, because it’s the strongest. I would argue (after extensive testing across multiple ad accounts) that neither of these events would be the correct pick. With landing page views as an optimization event, the users have an egregiously low propensity since the landing page view to subscription conversion rate is 0.61%.

The correct event to optimize for here would either be sign up or trial start because they have sufficient enough volume and are strong signals of a user converting to the north-star metric (subscription). Looking at the conversion rate between sign up and subscription, it’s a much healthier 10.21%, versus the 0.61% from landing page view.

I’m always a huge proponent of testing all events, as there can definitely be big surprises in what may work best for you. When testing events, make sure that there’s a stat-sig baseline that’s being followed to make decisions. Additionally, I think it’s a great practice to test events regularly early on because conversion rates can change as other channel variables are adjusted.

Flow adjustments

In certain cases, the current events that are set up aren’t optimal for paid acquisition campaigns. I’ve seen this happen frequently with startups that have long windows of time between conversion events. Take a startup such as Thumbtack, which provides a marketplace of providers who can help with home repairs. After someone signs up to their app, the user may place a request but not hire someone until a few weeks later. In this case, making flow adjustments could potentially improve the signal and data that you collect from users.

A solution that Thumbtack could implement to gather a stronger signal would be to add another step between the request being placed and hiring someone. This could potentially be a survey with propensity check questions that could ask how soon the user needs help or how important their project is from a 1–10.

Example of in-app survey responses to “How important is your project?” Image Credits: Jonathan Martinez.

After accumulating the data, if there’s a high correlation between survey answers and someone starting their project, we can start to explore optimizing for that event.

In the above example, we see that users who responded with “9” have a 7.66% likelihood to convert. Therefore, this should be the event we optimize for. Artificially adding steps that qualify users in a longer flow can help steer optimization targeting in the right direction.

Enhancing signal

Let’s imagine that you have the most ideal flow that captures large volumes of event signal without much of a delay to your optimization event. That’s still far from perfect. There are myriad solutions that can be implemented to further enhance the signal.

For Facebook specifically, there are connections such as CAPI that can be integrated to pass back data in a more accurate way. CAPI is a method of passing back web events server-to-server rather than relying on cookies and the Facebook pixel. This helps mitigate browsers that block cookies or users who may delete their web history. This is just one example. I won’t run through all the channels, but each has its own solution to help enhance event signal being passed back to it.

iOS 14 signal

This wouldn’t be a column written in 2021 without mention of iOS 14 and the strategies that can be leveraged for this growing user segment. I’ve written another piece about iOS-14-specific tactics, but I’ll cover it here on a broad level. If the north-star metric (i.e., purchase) event can be triggered within 24 hours of the initial app launch, then that’s golden.

This would bring large volumes of high-intent data that would not be at the mercy of the SKAD 24-hour event timer. For most companies, this may sound like a lofty goal, so the target should be to have an event fire within 24 hours that is a high-likelihood indicator of someone completing your north-star metric. Think of which events happen in the flow that lead to someone eventually purchasing. Maybe someone adding a payment method happens within 24 hours and historically has a 90% conversion rate to someone purchasing. An “add payment info” event would be a great conversion event to use in this case. The landscape of iOS 14 is constantly changing but this should apply for the immediate future.

Incrementality and staying ahead

As a rule of thumb, incrementality checks should constantly be performed in growth marketing. It gives an important read on whether advertising dollars are bringing in users that wouldn’t have converted had they not seen an ad.

When comparing optimization events, this rule still applies. Make sure that costs per action aren’t the only metric that’s being used as a measure of success, but instead, use the incremental lift on each conversion event as the ultimate key performance indicator. In this piece, I detail how to run lean incrementality tests without swarms of data scientists.

So how do you stay ahead and continue moving the needle on your growth marketing campaigns? First and foremost, constantly question the events you’re optimizing for. And second, leave no stone unturned.

If you’re using the same optimization event forever, it will be a disservice to your campaign performance potential. By experimenting with flow changes and running tests on new events, you’ll be way ahead of the curve. When iterating on the flow, think about user behavior and events from the user’s perspective. Which flow events, if added, would correlate to a high propensity conversion segment?

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Creative adtech is on the cusp of a revolution, and VCs should take note

2021 has been a good year to be an adtech investor. Valuations are surging, Wall Street is happy and exits are frequent and satisfying. It’s the perfect time to double down and invest in an area that has been largely ignored but is poised for major upside in the next few years: Digital creative ad technology.

Think about it. When was the last time we saw a major adtech funding round that was directed at the actual ads themselves — the messages people actually see everyday? I’d argue that now is the perfect time.

The adtech startups that can figure out how to adapt ads that can interact with the remote control, a synced smartphone or voice commands — maybe even make them shoppable — can theoretically produce a game-changer.

Here are five reasons why VCs should consider ratcheting up their investment into adtech startups building the next generation of creative tools:

Creative tech is far from being saturated

Consider how much has been spent over the 15 years on digital advertising mechanics such as targeting, serving, measuring and verification. Not to mention the trillions that have gone toward helping brands keep track of customer data and interactions — the marketing clouds, DMPs and CDPs.

Yet you can count the number of creative-centric adtech companies on one hand. This means there is a lot of room for innovation and early leaders. VideoAmp, which helps brands make ads for various social platforms, pulled in $75 million earlier this year. Given how fast platforms like TikTok and Snap are growing, it won’t be the last.

Digital ad targeting is being squeezed

Ads need to do more work today. Between regulation, cookies going away and Apple locking down data collection, we’ve seen a renewed interest in contextual advertising, including funding for the likes of GumGum, as well as identity resolution firms like InfoSum.

But the digital ad ecosystem can’t get by only using broader data-crunching techniques to replace “retargeting.” The medium is practically crying out for a creative revival that can only be sparked by scalable tech. The recent funding for creative testing startup Marpipe is a start, but more focus is needed on actual tech-driven ideation and automation.

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Demand Curve: Questions you need to answer in your paid search ads

Around 15% of website traffic comes through paid search ads. But to turn passive searchers into active shoppers, your ads should answer their question and entice them to click.

We’ve tested thousands of paid search ads at Demand Curve and through our agency Bell Curve. This post breaks down 14 questions your paid search ads should answer to ensure you’re only paying for the highest-intent shoppers.

Question 1: “What’s in it for me?”

An important distinction between paid search and organic search is that paid ads are an interruption. Users of search engines are simply looking for an answer to their question. The people who see your ads don’t owe you anything. Just because you’re paying to have your ad show up first doesn’t mean they’re going to pay attention to it.

To generate genuine interest in your paid ads, reframe your offer as a favor.

You can do this in two ways:

  • Describe the features of your product as the solution to your customers’ problem.
  • Emphasize the outcome your customer seeks.

For example, reframing free delivery as an extra convenience makes the offer that much more attractive.

Use ad extensions by listing additional benefits in the description of the page. For example, including “customized plans” in the pricing extension page signals to your customer that they’ll have control over the cost. This will help to attract the curiosity of even the most cost-conscious buyers.

To capture genuine interest in your paid ads, re-frame your offer as a favor.

Image Credits: Demand Curve

Question 2: “Why should I buy now?”

Approximately 80% of e-commerce shopping carts are abandoned, mostly because shoppers don’t feel any urgency to complete the transaction. Online shoppers aren’t in any rush, as the internet is open 24/7 and inventory feels unlimited.

Use ad copy that bridges the gap between their problem and your solution. The easiest way to create that curiosity bridge is by asking a question.

To answer the question, “Why should I buy now?”, you’re going to have to create an incentive to get them to take action now.

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Facebook to test new business discovery features in US News Feed

Facebook announced this morning it will begin testing a new experience for discovering businesses in its News Feed in the U.S. When live, users tap on topics they’re interested in underneath posts and ads in their News Feed in order to explore related content from businesses. The change comes at a time when Facebook has been arguing how Apple’s App Tracking Transparency update will impact its small business customers — a claim many have dismissed as misleading, but nevertheless led some mom and pop shops to express concern about the impacts to their ad targeting capabilities, as a result. This new test is an example of how easily Facebook can tweak its News Feed to build out more data on its users, if needed.

The company suggests users may see the change under posts and ads from businesses selling beauty products, fitness or clothing, among other things.

The idea here is that Facebook would direct users to related businesses through a News Feed feature, when they take a specific action to discover related content. This, in turn, could help Facebook create a new set of data on its users, in terms of which users clicked to see more, and what sort of businesses they engaged with, among other things. Over time, it could turn this feature into an ad unit, if desired, where businesses could pay for higher placement.

“People already discover businesses while scrolling through News Feed, and this will make it easier to discover and consider new businesses they might not have found on their own,” the company noted in a brief announcement.

Facebook didn’t detail its further plans with the test, but said as it learned from how users interacted with the feature, it will expand the experience to more people and businesses.

Image Credits: Facebook

Along with news of the test, Facebook said it will roll out more tools for business owners this month, including the ability to create, publish and schedule Stories to both Facebook and Instagram; make changes and edits to Scheduled Posts; and soon, create and manage Facebook Photos and Albums from Facebook’s Business Suite. It will also soon add the ability to create and save Facebook and Instagram posts as drafts from the Business Suite mobile app.

Related to the business updates, Facebook updated features across ad products focused on connecting businesses with customer leads, including Lead Ads, Call Ads and Click to Messenger Lead Generations.

Facebook earlier this year announced a new Facebook Page experience that gave businesses the ability to engage on the social network with their business profile for things like posting, commenting and liking, and access to their own, dedicated News Feed. And it had removed the Like button in favor of focusing on Followers.

It is not a coincidence that Facebook is touting its tools for small businesses at a time when there’s concern — much of it loudly shouted by Facebook itself — that its platform could be less useful to small business owners in the near future, when ad targeting capabilities become less precise as users vote “no” when Facebook’s iOS app asks if it can track them.

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Accessing social groups through referrals

Julian Shapiro
Contributor

Julian Shapiro is the founder of BellCurve.com, a growth marketing team that trains startups in advanced growth, helps hire senior growth marketers and finds vetted growth agencies. He also writes at Julian.com.

We’ve aggregated many of the world’s best growth marketers into one community. Twice a month, we ask them to share their most effective growth tactics, and we compile them into this Growth Report.

This is how you stay up-to-date on growth marketing tactics — with advice that’s hard to find elsewhere.

Our community consists of startup founders and heads of growth. You can participate by joining Demand Curve’s marketing training program or its Slack group.

Without further ado, on to our community’s advice.


Accessing social groups through referrals

Excerpt from Demand Curve’s Growth Training.

A surprising benefit of referrals is how they often lead to social partnership opportunities.

Consider this process:

  1. Find your happiest users.
  2. Figure out what social groups they belong to. This could be anything from a female founders group, to university alumni networks, to a restaurant management trade association.
  3. How do you find out? Just ask them what groups they belong to. Don’t be afraid of conversation.
  4. Ask the happy user to connect you with the heads of those groups. Solve a problem they collectively have — even if it’s only tangentially related to your business. What matters is that more of these ideal customers know and trust you. You can also refer speakers, offer deals, write content for them or offer free office hours.
  5. Down the road, these people inevitably send you referrals.
  6. Reach out cold to people in other, similar groups. Reference the endorsement of the original group and provide a case study (with their permission).

Going through groups can be a high-leverage way to land and expand into ideal audiences.

Pixel-sharing tactics

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TikTok is a marketer’s shiny new toy, but how do you optimize campaigns?

Tiffany Ou
Contributor

Tiffany Ou is the general manager, Americas at Nativex, where she leads go-to-market strategies for leading game and app developers.

TikTok is a rising star in the social media category. Since its launch three years ago, the company has secured 800 million active users worldwide. That makes TikTok ninth in terms of social network sites, ahead of LinkedIn, Twitter, Pinterest and Snapchat. As more people start using the platform and remain engaged, it goes without saying that TikTok is an increasingly desirable destination for marketers.

But outside the sheer numbers, is there any real sustenance to the platform from a marketing perspective, or is this just a temporary fad brands are flocking to? Here’s a look into what makes TikTok unique through a marketer’s lens, and a few things the platform can improve on to make it a permanent option for brands looking to explore mobile.

Better user experiences lead to more unique advertising

Digital advertising is only as effective as a platform’s user experience — that fact presents a unique differentiator for TikTok. Being in 2020, where content creators continue to blossom, TikTok provides an opportunity for literally anyone to reach millions of people with their content. It is a “platform for the people,” as the algorithm sends user content to groups of 5-10 people, and based on the engagement, it will continue sending it out to the masses. What’s interesting here is that it resembles an early era of Instagram, where all content was user-generated.

Additionally, unlike other leading social media channels, a user is focused on one piece of content at a time. TikTok videos take up the entire screen, which leads to more engagement and genuine interest from the viewer. That said, creative plays an incredibly important role in every campaign you run on the platform, especially when trying to grab the user amid a mass of alternative entertainment options. The TikTok audience is hyperfocused on viewing organic, visually stimulating content that could be the next big meme or viral sensation.

Creative is the key

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Google is now publishing coronavirus mobility reports, feeding off users’ location history

Google is giving the world a clearer glimpse of exactly how much it knows about people everywhere — using the coronavirus crisis as an opportunity to repackage its persistent tracking of where users go and what they do as a public good in the midst of a pandemic.

In a blog post today, the tech giant announced the publication of what it’s branding COVID-19 Community Mobility Reports, an in-house analysis of the much more granular location data it maps and tracks to fuel its ad-targeting, product development and wider commercial strategy to showcase aggregated changes in population movements around the world.

The coronavirus pandemic has generated a worldwide scramble for tools and data to inform government responses. In the EU, for example, the European Commission has been leaning on telcos to hand over anonymized and aggregated location data to model the spread of COVID-19.

Google’s data dump looks intended to dangle a similar idea of public policy utility while providing an eyeball-grabbing public snapshot of mobility shifts via data pulled off of its global user-base.

In terms of actual utility for policymakers, Google’s suggestions are pretty vague. The reports could help government and public health officials “understand changes in essential trips that can shape recommendations on business hours or inform delivery service offerings,” it writes.

“Similarly, persistent visits to transportation hubs might indicate the need to add additional buses or trains in order to allow people who need to travel room to spread out for social distancing,” it goes on. “Ultimately, understanding not only whether people are traveling, but also trends in destinations, can help officials design guidance to protect public health and essential needs of communities.”

The location data Google is making public is similarly fuzzy — to avoid inviting a privacy storm — with the company writing it’s using “the same world-class anonymization technology that we use in our products every day,” as it puts it.

“For these reports, we use differential privacy, which adds artificial noise to our datasets enabling high quality results without identifying any individual person,” Google writes. “The insights are created with aggregated, anonymized sets of data from users who have turned on the Location History setting, which is off by default.”

“In Google Maps, we use aggregated, anonymized data showing how busy certain types of places are—helping identify when a local business tends to be the most crowded. We have heard from public health officials that this same type of aggregated, anonymized data could be helpful as they make critical decisions to combat COVID-19,” it adds, tacitly linking an existing offering in Google Maps to a coronavirus-busting cause.

The reports consist of per country, or per state, downloads (with 131 countries covered initially), further broken down into regions/counties — with Google offering an analysis of how community mobility has changed vs a baseline average before COVID-19 arrived to change everything.

So, for example, a March 29 report for the whole of the U.S. shows a 47 percent drop in retail and recreation activity vs the pre-CV period; a 22% drop in grocery & pharmacy; and a 19% drop in visits to parks and beaches, per Google’s data.

While the same date report for California shows a considerably greater drop in the latter (down 38% compared to the regional baseline); and slightly bigger decreases in both retail and recreation activity (down 50%) and grocery & pharmacy (-24%).

Google says it’s using “aggregated, anonymized data to chart movement trends over time by geography, across different high-level categories of places such as retail and recreation, groceries and pharmacies, parks, transit stations, workplaces, and residential.” The trends are displayed over several weeks, with the most recent information representing 48-to-72 hours prior, it adds.

The company says it’s not publishing the “absolute number of visits” as a privacy step, adding: “To protect people’s privacy, no personally identifiable information, like an individual’s location, contacts or movement, is made available at any point.”

Google’s location mobility report for Italy, which remains the European country hardest hit by the virus, illustrates the extent of the change from lockdown measures applied to the population — with retail & recreation dropping 94% vs Google’s baseline; grocery & pharmacy down 85%; and a 90% drop in trips to parks and beaches.

The same report shows an 87% drop in activity at transit stations; a 63% drop in activity at workplaces; and an increase of almost a quarter (24%) of activity in residential locations — as many Italians stay at home instead of commuting to work.

It’s a similar story in Spain — another country hard-hit by COVID-19. Though Google’s data for France suggests instructions to stay-at-home may not be being quite as keenly observed by its users there, with only an 18% increase in activity at residential locations and a 56% drop in activity at workplaces. (Perhaps because the pandemic has so far had a less severe impact on France, although numbers of confirmed cases and deaths continue to rise across the region.)

While policymakers have been scrambling for data and tools to inform their responses to COVID-19, privacy experts and civil liberties campaigners have rushed to voice concerns about the impacts of such data-fueled efforts on individual rights, while also querying the wider utility of some of this tracking.

And yes, the disclaimer is very broad. I’d say, this is largely a PR move.

Apart from this, Google must be held accountable for its many other secondary data uses. And Google/Alphabet is far too powerful, which must be addressed at several levels, soon. https://t.co/oksJgQAPAY

— Wolfie Christl (@WolfieChristl) April 3, 2020

Contacts tracing is another area where apps are fast being touted as a potential solution to get the West out of economically crushing population lockdowns — opening up the possibility of people’s mobile devices becoming a tool to enforce lockdowns, as has happened in China.

“Large-scale collection of personal data can quickly lead to mass surveillance,” is the succinct warning of a trio of academics from London’s Imperial College’s Computational Privacy Group, who have compiled their privacy concerns vis-a-vis COVID-19 contacts tracing apps into a set of eight questions app developers should be asking.

Discussing Google’s release of mobile location data for a COVID-19 cause, the head of the group, Yves-Alexandre de Montjoye, gave a general thumbs up to the steps it’s taken to shrink privacy risks. Although he also called for Google to provide more detail about the technical processes it’s using in order that external researchers can better assess the robustness of the claimed privacy protections. Such scrutiny is of pressing importance with so much coronavirus-related data grabbing going on right now, he argues.

“It is all aggregated; they normalize to a specific set of dates; they threshold when there are too few people and on top of this they add noise to make — according to them — the data differentially private. So from a pure anonymization perspective it’s good work,” de Montjoye told TechCrunch, discussing the technical side of Google’s release of location data. “Those are three of the big ‘levers’ that you can use to limit risk. And I think it’s well done.”

“But — especially in times like this when there’s a lot of people using data — I think what we would have liked is more details. There’s a lot of assumptions on thresholding, on how do you apply differential privacy, right?… What kind of assumptions are you making?” he added, querying how much noise Google is adding to the data, for example. “It would be good to have a bit more detail on how they applied [differential privacy]… Especially in times like this it is good to be… overly transparent.”

While Google’s mobility data release might appear to overlap in purpose with the Commission’s call for EU telco metadata for COVID-19 tracking, de Montjoye points out there are likely to be key differences based on the different data sources.

“It’s always a trade off between the two,” he says. “It’s basically telco data would probably be less fine-grained, because GPS is much more precise spatially and you might have more data points per person per day with GPS than what you get with mobile phone but on the other hand the carrier/telco data is much more representative — it’s not only smartphone, and it’s not only people who have latitude on, it’s everyone in the country, including non smartphone.”

There may be country specific questions that could be better addressed by working with a local carrier, he also suggested. (The Commission has said it’s intending to have one carrier per EU Member State providing anonymized and aggregated metadata.)

On the topical question of whether location data can ever be truly anonymized, de Montjoye — an expert in data reidentification — gave a “yes and no” response, arguing that original location data is “probably really, really hard to anonymize”.

“Can you process this data and make the aggregate results anonymous? Probably, probably, probably yes — it always depends. But then it also means that the original data exists… Then it’s mostly a question of the controls you have in place to ensure the process that leads to generating those aggregates does not contain privacy risks,” he added.

Perhaps a bigger question related to Google’s location data dump is around the issue of legal consent to be tracking people in the first place.

While the tech giant claims the data is based on opt-ins to location tracking the company was fined $57M by France’s data watchdog last year for a lack of transparency over how it uses people’s data.

Then, earlier this year, the Irish Data Protection Commission (DPC) — now the lead privacy regulator for Google in Europe — confirmed a formal probe of the company’s location tracking activity, following a 2018 complaint by EU consumers groups which accuses Google of using manipulative tactics in order to keep tracking web users’ locations for ad-targeting purposes.

“The issues raised within the concerns relate to the legality of Google’s processing of location data and the transparency surrounding that processing,” said the DPC in a statement in February, announcing the investigation.

The legal questions hanging over Google’s consent to track people likely explains the repeat references in its blog post to people choosing to opt in and having the ability to clear their Location History via settings. (“Users who have Location History turned on can choose to turn the setting off at any time from their Google Account, and can always delete Location History data directly from their Timeline,” it writes in one example.)

In addition to offering up coronavirus mobility porn reports — which Google specifies it will continue to do throughout the crisis — the company says it’s collaborating with “select epidemiologists working on COVID-19 with updates to an existing aggregate, anonymized dataset that can be used to better understand and forecast the pandemic.”

“Data of this type has helped researchers look into predicting epidemics, plan urban and transit infrastructure, and understand people’s mobility and responses to conflict and natural disasters,” it adds.

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How to use Amazon and advertising to build a D2C startup

Matt Altman & Tyler Elliston
Contributor

Matt Altman runs the Amazon practice area for VMG Ignite, an eCommerce consultancy that helps early to mid stage CPG companies achieve growth. Tyler Elliston is the founder of VMG Ignite. Clients include Sun Bum, Perfect Snacks, Aloha, Pill Club, Solid Gold, and many more.

Entrepreneurship in consumer packaged goods (CPG) is being democratized. Every step of the value channel has been compressed and made more affordable (and thereby accessible).

At VMG Ignite, we have worked with dozens of direct-to-consumer startups trying to both find product-market fit and achieve scale through Amazon and online advertising.

This article focuses on customer acquisition, particularly Amazon and online advertising, for the direct-to-consumer (D2C) CPG venture. Selling on Amazon, specifically third-party (3P), has become an increasingly important component of the D2C playbook. About 46% of product searches start on Amazon, which makes it a compelling source of sales even for early-stage ventures.

Table of contents

How to find product-market fit 

People say that ideas are a dime a dozen. They aren’t valuable. But finding product-market fit? Now, that’s hard. The gap between an unexecuted idea and proven product-market fit can seem vast. Yet it’s a critical first step because, ultimately, marketing amplifies your product and value proposition.

If they aren’t compelling, marketing will fail. If they’re compelling, even mediocre marketing can often be successful. So start with a great product that people love.

How do you create a great product, you ask? A/B test your product configuration like you A/B test your landing page, copy, and design. Your product is a variable, not a constant. Build, ship, get feedback. Build, ship, get feedback. Turn detractors into your customer panel for testing.

Early-stage D2C companies typically get their first customers through three channels:

  1. Begging your friends and family to buy and promote your product.
  2. List it on Amazon as a 3P seller. Figure out the platform and start selling!
  3. Advertise on Facebook. Start with a daily budget of 10x your price point to get started and start tinkering with creative, audiences, and settings to minimize cost per order.

The companies that succeed are often the ones that iterate the fastest. In his book Creative Confidence, IDEO founder David Kelley and his co-author (and brother) Tom relay a story of a pottery class that was split into two groups.

The first group was told they would each be graded on the single best piece of pottery they each produced. The second group was told they would each be graded based on the sheer volume of pottery they produced.

Naturally, the first group labored to craft the perfect piece while the second group churned through pottery with reckless abandon. Perhaps not so intuitive, at the end of the class, all the best pottery came from the second group! Iteration was a more effective driver of quality than intentionality.

Don’t know how to manage Amazon or Facebook? Here are some best practices:

How to get started with Amazon

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Why commerce companies are the advertising players to watch in a privacy-centric world

Justin Choi
Contributor

Justin Choi is the founder and CEO of Nativo, which empowers brands and publishers through its advanced platform for content.

The unchecked digital land grab for consumers’ personal data that has been going on for more than a decade is coming to an end, and the dominoes have begun to fall when it comes to the regulation of consumer privacy and data security.

We’re witnessing the beginning of a sweeping upheaval in how companies are allowed to obtain, process, manage, use and sell consumer data, and the implications for the digital ad competitive landscape are massive.

On the backdrop of evolving privacy expectations and requirements, we’re seeing the rise of a new class of digital advertising player: consumer-facing apps and commerce platforms. These commerce companies are emerging as the most likely beneficiaries of this new regulatory privacy landscape — and we’re not just talking about e-commerce giants like Amazon.

Traditional commerce companies like eBay, Target and Walmart have publicly spoken about advertising as a major focus area for growth, but even companies like Starbucks and Uber have an edge in consumer data consent and, thus, an edge over incumbent media players in the fight for ad revenues.

Tectonic regulatory shifts

GettyImages 912948496

Image via Getty Images / alashi

By now, most executives, investors and entrepreneurs are aware of the growing acronym soup of privacy regulation, the two most prominent ingredients being the GDPR (General Data Protection Regulation) and the CCPA (California Consumer Privacy Act).

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How to see another company’s growth tactics and try them yourself

Julian Shapiro
Contributor

Julian Shapiro is the founder of BellCurve.com, a growth marketing agency that trains you to become a marketing professional. He also writes at Julian.com.

Every company’s online acquisition strategy is out in the open. If you know where to look.

This post shows you exactly where to look, and how to reverse engineer their growth tactics.

Why is this important? Competitive analysis de-risks your own growth experiments: You find the best growth ideas to adopt and the worst ones to avoid.

First, a warning: Your goal is not to repurpose another company’s hard work. That makes you a thief. Your goal is to identify other companies who face the same growth challenges as you, then to study their approaches for solutions to draw from.

As I walk through uncovering a competitor’s tactics, keep in mind which competitors are worth looking at: For instance, you should rarely over-analyze early-stage companies. They’re unlikely to be methodical at growth.

Meaning, if you blindly copy their site and their ads, it’s possible you’ll be copying tactics that are not actually responsible for their growth. Their success may instead be from network effects or other hidden factors.

Instead, it’s safest to get inspiration from companies who’ve sustained high growth rates for a long time, and who face the same growth challenges as you. They’re likely to have sophisticated growth operations worth studying deeply. Examples include:

  • Pinterest
  • Airbnb
  • Amazon
  • Facebook
  • Uber

If these aren’t your direct competitors, don’t worry. You don’t need to audit a direct competitor’s tactics to get incredibly valuable insights.

You can look past direct competitors.

You’ll gain useful insights from auditing the user acquisition funnel of any company who has a similar audience and business model.

Examples of audiences:

  • Wealthy consumers
  • Enterprise businesses
  • Middle-class adults who use Chrome
  • Dog owners
  • And so on

Audiences matter because their behaviors and needs differ wildly. Each requires its own growth strategy. You want to audit a company whose audiences is similar to yours.

You also want to ensure the company shares your business model. Examples include:

  • A high-touch sales process with multiple phone calls
  • A consumer ecommerce site with easy checkout
  • A self-serve SaaS signup with a freemium plan
  • A pay-to-play mobile game
  • And so on

Each model may necessitate different ads, landing pages, automated emails, and sales collateral.

The process

Never implement another company’s tactics blindly.

There’s an effective process for growth analysis, and it looks like this:

  1. Source potential growth ideas.
  2. Prioritize them.
  3. A/B test them.
  4. Measure if an A/B variant significantly outperformed its baseline and whether the cost of implementing the winner would be worthwhile.
  5. Only then should you implement it.

An example

Here’s a brief example before we dive into tactics.

Let’s pretend we’re a SaaS company offering consumer banking tools, and that we’re struggling to get users to onboard our app. Our hypothesis is that visitors are bouncing because they don’t trust us with their sensitive information.

Our first step is to define both our audience and our business model:

  • Audience: Tech-savvy, adult consumers.
    Business model: SaaS freemium funnel.

Our next step is to look for companies who share those two aspects. (We can find them on Crunchbase.)

Once we have a few in hand, we look for how they handle customers’ sensitive information throughout their funnel. Specifically, we audit their:

It’s time to learn how we audit all that. I’ll share how our marketer training program teaches marketers to do this on the job.

Tactic #1: How to see a company’s A/B tests

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