MARKETING

Cracking the code on podcast advertising for customer acquisition

Published

5 years ago

September 27, 2019

cracking the code on podcast advertising for customer acquisition

Krystina Rubino & Lindsay Piper Shaw Contributor

Krystina Rubino is a marketing executive who leads the offline growth marketing practice at Right Side Up. Lindsay Piper Shaw is an advertising strategist and growth marketer currently consulting on podcast and offline advertising at Right Side Up.

Of the various channels available to growth marketers, podcast is among the most misunderstood.

Brands like Dollar Shave Club, Squarespace, and ZipRecruiter have deployed podcast advertising for user acquisition for years, but it’s still a channel that flies under the radar. We have managed tens of millions of dollars in podcast ad spend for challenger brands and market leaders alike, and are eager to share some tricks of the trade.

If you want to test in a channel where early adopters are being rewarded with both attractive CAC and scale, here’s what you need to know:

Podcast advertising is used very successfully as a direct-response channel with CAC on par with other consideration-stage activities. It is not just for awareness.
Podcast reach is very good, reaching 51% of US audiences aged 12+ monthly.
Ads read by hosts outperform canned “programmatic” ads.
Tracking is harder than most digital channels and the cost to test the channel is higher than most digital channels.

Dive deeper on podcast ads and other growth marketing tips with Extra Crunch’s ongoing coverage of growth marketing, where Right Side Up was recently featured as a Verified Expert Growth Marketer.

Who listens, who advertises, and why bother?

Podcast listeners are a sought after group – the audience trends towards educated, early adopters with a high household income. You can find this profile elsewhere, but what makes podcasts unique is that they are choosing to consume that particular content time and time again. The host becomes a trusted voice to deliver them not only interesting stories and banter, but information on companies as well.

Often podcast advertisers are newcomers or start-ups, and the podcast ad might be the first time the listener has heard about that company. Having the first touch with consumers be from a thorough, personal, and often funny host-read interaction is incredibly valuable and helps brands jump over the credibility hurdle. Compare that to an impersonal banner ad, and I’d choose a podcast ad every time.

Even though the term ‘podcast’ was coined in 2004, advertising in the medium has exploded in the last ~5 years. The IAB has been tracking podcast ad revenue since 2015, when the entire medium generated #105.7 million in ad sales. It recently released its third study of podcast ad revenue, which estimated the US market at $479 million in 2018, with growth accelerating to a projected $1 billion+ by 2021.

Andreesen Horowitz did a great investor profile on the space earlier this year, with a helpful rundown of the holistic ecosystem, from hosting mechanisms and platforms to the pace of podcast monetization.

Historically, the medium has been dominated by a mix of comedians doing their own thing, radio entities simulcasting sports shows, and otherwise popular shows that had a devoted niche following relative to other mediums. Most advertisers bought podcast ads as an extension of their other audio acquisition campaigns.

Podcasts go mainstream

Then Serial came along, in 2014, exploding into popularity and pop culture. They ran a MailChimp ad that had someone mispronouncing the name of the company as “MailKimp”, which was a funny inside joke for those in the know. Nina Cwik and David Raphael, co-founders of Public Media Marketing, explain the initial conversation around this now iconic spot.

“While discussing a launch sponsorship with sponsors there wasn’t a huge amount of interest in taking a risk on a new show even with the amazing This American Life provenance. MailChimp was committed to supporting Serial. The talented production team at Serial and This American Life created MailKimp and the sponsor was rewarded for believing in the show.”

Not only were they rewarded by being a launch sponsor of one of the most successful podcasts in history, but once Serial and the medium itself expanded, a loving impersonation of Serial host Sarah Koenig and the MailKimp joke eventually made its way into a Saturday Night Live skit. Serial also appealed to a female audience, helping to bring new listeners into the channel, and podcasters and advertisers followed.

Over the past 5 years, the space has diversified. We now see so many different shows with all flavors of true crime, news and politics takes that you don’t hear in the broader media picture, women talking to other women about literally everything, comedy and pop culture pods as diverse as Bodega Boys, Who? Weekly, and RuPaul: What’s the Tee with Michelle Visage, and a podcast to go with every reality and television show you can think of. There are too many shows to talk about; there are over 750,000 shows indexed by iTunes.

How to engage for growth advertising

So how do companies start testing in podcasts? And how do they do so successfully?

Start with a strong (but doable budget) and take your time

We advise companies to start with a test spend that you consider meaningful in the context of your other customer acquisition efforts. Initial tests in the channel that are properly diversified typically vary from $50,000 to $150,000 in media cost. If the idea of a testing budget in the high five figures makes you gasp, don’t rush it. If you under-invest, you run the risk of a false negative, i.e. you didn’t spend enough to validate performance, or a false positive; when you buy tiny shows, one or two sales may pay back. If you make media decisions at scale based on that data, you may find yourself in deep water. If the risk of testing a new channel and having a dip in your CAC is too great, we recommend you exhaust other channels, like Facebook, before jumping into the podcast space.

Podcast offers advertisers a low barrier to entry. Creative production is limited to producing copy points for hosts to use as they record their ad reads. However, it is quite manual relative to digital channels, and can take weeks to put into place. Most purchasing is done through a show’s sales representation or network, via calls and emails, and set in advance (sometimes way in advance depending on inventory levels). It entails RFPing multiple network partners, doing research and outreach to independent shows, gathering rates and evaluating content, and finally making decisions based on budget and inventory availability. We often describe this as the media puzzle – making sure that the ideal shows, with favorable pricing are available when you want them to be. This can take time and some back and forth with your network rep to set in stone, so give yourself room to plan ahead.

What’s the media landscape look like and how do you pick shows?

Image via Getty Images / venimo

We buy with a lot of direct shows, sales representation firms, and ad networks. We’re starting to see the beginnings of programmatic and exchange-based inventory become available, but it’s largely impression-based media, which isn’t yet a proven tactic that direct response-oriented advertisers can consistently use for customer acquisition. There are some managed service-like buying partners in the space, that work to varying degrees of efficiency for customer acquisition.

When it comes to choosing what types of shows to partner with, beyond budget and availability, it’s important to remember the obvious choice may not be the best one.

One of the most consistent, and pleasant, surprises in podcast advertising is how well shows that are seemingly unrelated to a product work well for customer acquisition. We’ve worked on products that had a primary target demographic of suburban moms, but guess what? Gamers want to stay at home and order snacks and food delivery, too; they have disposable income and are harder to reach via traditional channels.

If you’re advertising a product targeted to parents, you shouldn’t just test into parenting shows, you should also consider testing into shows with hosts who are parents, but have content not at all or tangentially related to parenting, like Your Mom’s House, with Tom Segura and Christina Pazsitzky. Sure, it’s a comedy podcast, and it’s NSFW (and hilarious). They’re also human parents who they do amazing reads, and their fans are legion.

Ryan Iyengar, CMO of HealthIQ, notes that “hosts with wildly different backgrounds were able to find a through-line to connect ad reads with their audiences, regardless of product line.” Of course, contextual advertising is worth consideration, and there are sometimes unique opportunities, but most successful shows aren’t a bullseye for content.

We’ve also seen the inverse, on contextual fit; food products can either do amazing or not well at all on food-related podcasts. If you have a food product with mass appeal, but one that (for example) many home cooks may already be familiar with, you may be better off doing just about any other popular genre of shows besides food.

Plus, these hosts are pros; they’ve been doing ad reads for everything from mattresses to meal kits for years. They know how to talk about your product in an engaging way.

Doug Hoggatt, the VP of Marketing at Betabrand, agrees, mentioning he would also coach new advertisers to “take the time to test across genres and hosts, you’ll be surprised at the results.” Iyengar is also the former VP of Marketing at ZipRecruiter; if you’ve ever heard a podcast, you may have heard the company advertised once or twice. He also notes, “[regardless of] content of the show, audiences can be interested in all sorts of topics, and are still potential customers. Yes, even hiring managers listen to comedy podcasts!”

Many business-to-business (B2B) advertisers do well in the channel, in part due to higher allowable CAC and high lifetime value (LTV). And the same point about show selection holds true for those audiences, as well. Visnick noted, “[HoneyBook] originally focused on testing industry-specific podcasts as those seemed to be the most natural way to target our prospective customers. We discovered that by diversifying our podcast mix into non-industry content we could still reach our target audience while also growing our reach and overall program performance.”

If we hear something that we think can help us at work, we’re amenable to that message, especially when it comes from our favorite host. Having an open mind to testing has helped so many advertisers unlock additional shows, and possible customers. You can take those insights back to other channels, too, and begin to integrate your campaigns and establish cross-channel frequency.

Pricing in the channel is unstable, and demand-based because inventory is finite; effective CPMs for host read, embedded mid-roll advertisements — by far, the most consistently performing ad unit for customer acquisition in the space — vary from $10 to $100. Yes, really.

Worrying too much about CPMs could mean that you’re leaving behind some of the best inventory in the space. So while it could make sense to cut higher CPM placements from a media plan, you want to be cautious. You could inadvertently cut out potential volume drivers or otherwise highly effective placements.

Allow for the host’s personality to shine through

Image via Getty Images / TwilightShow

The listener is there for the hosts. They relate to them, laugh with them, or laugh at them. They come to expect a performance from them, and often that performance bleeds into the ad reads. Whether it’s a semi-NSFW jingle about MeUndies from Bill Burr, or Joe Rogan recommending his mind-blowing NatureBox snack combination, or Levar Burton delivering an oh-so soothing Calm read.

Alan Abdine, Senior Vice President of Business Development for Rooster Teeth, a network with geeky, gamer shows with a hint of irreverence, said “the best ads are the ads that are organic, natural, and originate from the voice of the show talent. When brands allow our hosts to be themselves, there are more opportunities for entertaining side stories and commentary related to the brand.”

He continues to say his “belief is that if an advertiser is willing to spend money to reach out audience, then let us be the experts on that audience and let us use our own voice to share their message and talking points! They will always get better results in that scenario.”

There is a certain special trust that goes into podcast ads. And to allow hosts to be themselves while also being a positive brand advocate often mean striking a balance between scripting and giving space. The most commonly purchased ad unit for customer acquisition advertisers is a host-read, embedded, mid-roll advertisement, typically :60 in length, but many hosts go over.

Overly scripting the copy can lead to an ad sounding inauthentic and infringe on their creativity. Kate Spencer, the co-host of Forever 35, notes that “often there are a lot of required talking points to hit in a short amount of time. We’re always happy to oblige, but I think it takes away from the organic and conversational nature of the ad, which is what makes podcast advertising especially unique. ”

On the flip side, not scripting enough could lead to a disjointed read where the host is trying to piece value props together on the fly. Nick Freeman, Chief Revenue Officer at Cadence13, explains that “some hosts do like the perfectly written out :60 script, while others like bullets they can riff off of.” Because podcast campaign test across multiple shows and personalities, it’s best to find a starting point in your copy where hosts can be guided, but not stifled. Freeman says “that doesn’t necessarily mean trying to make jokes for comedy hosts, for example, so much as it’s giving the hosts who do well with it the freedom to ad-lib.”

And for those that want to get a little more creative, the space is primed for custom integrations. Recently DoorDash partnered with Rooster Teeth for an ad on a livestream in celebration of a new game their studios were releasing. Since there was a visual element, DoorDash and Rooster Teeth partnered on a creative spin to the ad.

Instead of the typical copy, food would be delivered to the group of hosts while recording. Grant Durando, Senior Marketing Consultant at Right Side Up, works with DoorDash on their podcast campaign and stewarded this unique partnership. “[Rooster Teeth] approached us with the opportunity to engage with the live stream in a deeper way than just a regular podcast ad. It was definitely an unorthodox integration, but exciting to be in front of the right audience for DoorDash, at scale, and in a meaningful, memorable way. Many conversations about chicken nuggets later (which I never thought would be part of my job), Rooster Teeth and Vicious Circle delivered a superb ad experience, [integrating] multiple brand mentions and actually making DoorDash a part of the content itself.”

Zack Boone, Senior Director of Sales at Rooster Teeth, added there is, “nothing better than having clients that understand how impactful utterly stupid things like this can be for a brand.” DoorDash “[offers] industry-leading selection to our customers,” said Micah Moreau, VP of Growth Marketing at DoorDash. “It was incredibly effective to bring the DoorDash experience to life with Rooster Teeth in a highly differentiated, yet relevant way.”

How do you measure response?

Ads almost always end in some sort of call to action, like use the show’s promo code to save money, or visit a URL to get a free trial of a product for listeners of the show. It’s a way for shows to get credit for their listeners taking some sort of action, usually a purchase, related to hearing the ad.

And it’s how advertisers can figure out if their ad investments are paying back, too. Along those lines, Hoggatt was happy to see “how direct response the channel could be. I was surprised at the lift in site visits and follow-on orders that correlate so closely to when our podcasts drop.” Consumers have been conditioned to listen for that call to action at the end of an advertisement so we can measure a direct response in the channel.

That isn’t to say podcast advertising should displace a highly effective channel like paid social or paid search in your paid marketing testing priorities. We often ask advertisers information about their overall CAC or CPA from other paid marketing efforts like Facebook or Google advertising, and use that data to benchmark target CAC for podcast.

As a general rule of thumb, if you can’t make Facebook or Google work for customer acquisition at meaningful scale, think twice before you engage in testing podcasts at a scale meaningful to your business. But if you’re looking for demand generating channels, podcast is an excellent contender.

“The success we’ve seen from podcast advertising has proven that we can drive sales through paid media outside of “traditional” direct digital response campaigns,” said Visnick. “We’ve significantly grown our podcast budget every quarter since we started testing the channel and it’s now a core part of our overall acquisition strategy and an important part of our media mix.

Don’t under-account for breakage or indirect activity

Image via Getty Images / Olivier Le Moal

Another challenge for advertisers that aren’t used to offline channels is managing indirect activity, also sometimes called breakage. It’s imperative to look at indirect activity to help triangulate response, as another way to get a false negative is to only look at direct response, i.e. direct redemptions of a promo code or sales from only users who visited the vanity URL.

A decent analog is like view-through conversions, but without the technology enablement. You can tell, via tracking, what actions site visitors have taken after exposure to ads on Facebook and Google, etc.

However, there isn’t a way for a consumer to tap or click on your podcast ad, so you don’t have a direct action correlated to ad download or exposure, nor can you track indirect activity (view-through) via pixels or other technology enablement. The aforementioned promo code/vanity URL combo is what generates that direct response.

To get around this breakage and triangulate a full response, advertisers commonly use a post-conversion attribution survey, colloquially referred to as a How Did You Hear About Us? or HDYHAU survey. This allows for a crude, but effective, translation of the impact that podcasts had on that user’s activity.

It helps you determine how much of the activity you’re capturing in paid search, for example, may have actually been driven by podcasts, streaming audio, or television. It’s self-reported data from users, sure, and it can feel a little shaky when you’re used to more precise digital measurement, but it’s how virtually every scaled advertiser in the channel has discovered a path to scale.

It also helps you determine benchmarks before you get into other channels, and can provide a solid look at multi-touch attribution if the survey is designed with best practices, and served to enough of the population to achieve stability.

Why can’t we use measurement techniques from other mediums?

We already talked about why, even though podcasts are digital audio, we can’t track conversions digitally (we know, it’s a little crazy). Unlike television, where you can use spot-based attribution, or radio, where you can achieve consistent ad exposure and but according to average quarter-hour (AQH) ratings, there’s a delay in both download of an episode and media consumption.

For advertisers, that means performance comes in over time, and it takes a minute to build reach and frequency (R/F). You may see very little activity for the first week or two of a campaign, and then as R/F builds and crescendos, you’ll see conversion activity catch up. That’s when you can start to get a solid picture of return on ad spend (ROAS); you should have structured your tests so you have a good sense of performance by the third or fourth drop with a show.

Looking at results sooner is possible but largely inadvisable. “Give it time,” says Dan Visnick, CMO at HoneyBook, “It can take a few weeks to see the impact from a single podcast, and months to build a strong portfolio.”

One of the biggest mistakes new advertisers in the channel make is getting a false positive, by testing into tiny shows that back out because 2 people bought their product, and then quickly scaling in the same genre only to find out that the content doesn’t scale.

False negatives are also common, when advertisers get cold feet in the first few weeks of an integration, and cancel shows after one ad insertion in a single episode. The channel requires diligence in testing, and if you have other business challenges to navigate, using digital growth channels can help iron out your messaging, landing pages, etc. before you launch offline channels.

Although you may have honed your messaging in other channels, you should expect to be flexible when it comes to podcast creative.

Opportunities to expand to other audio acquisition opportunities

Image via Getty Images / Anastasiia_New

Positive signals in podcast campaigns can also indicate that other audio channels may be ripe for testing, which can help diversify your marketing mix and minimize the pressure on individuals channels. Hoggatt says his “success in podcast advertising proved that it is possible to invest in offline channels and find measurable success.”

SiriusXM and streaming platforms, whether pureplay like Pandora or Spotify, or aggregators like Westwood One and ESPN, are great next steps for advertisers who see the right signals in podcast. For SiriusXM, it’s a high household income audience that are used to paying for a subscription (any subscription model companies out there?), and streaming audiences are choosing to listen to their content, similarly to how podcast listeners choose their content. The podcast landscape is the perfect arena to play in to learn more about how your brand works in offline media and allows there to be a stepping stone into other mediums.

Be good stewards

We know that podcast advertising can have a powerful impact on the marketing mix for companies of all sizes. As more and more players get involved in the space, it benefits all involved, from advertisers, to networks, to marketers.

It’s rare to have an opportunity to participate in a nascent medium, and be good stewards of one of the last remaining mediums on earth with finite inventory and listeners who actually respond to ads. And along the way, we hope to change the way people think about traditional offline media channels, like how they can be held to high growth performance standards, and where they intersect with popular digital growth tactics like paid social.

You’ll have to get creative, but with some trust and patience, and adherence to best practices, advertisers can reap significant benefits and customer acquisition, at scale, from podcast advertising campaigns.

9 things growth marketers should do when getting started:

Create the team (and time!) needed to execute a campaign, whether in-house or via partnership with a subject matter expert like a consultancy or agency
Learn the language of podcast advertising, terms like download carry a lot of baggage and understanding them can impact your campaign’s performance
Budget your initial test(s) appropriately to avoid a false negative or positive result
Have an open mind on show selection; make sure you test across multiple genres and formats
Measure direct and indirect activity, to triangulate performance and business impact, and make optimizations and decisions on renewals
Support, don’t stifle, the personality of the show hosts
Get comfortable getting creative, and take time to onboard hosts
Keep an eye out for additional opportunities, not only in podcast, but in other audio channels as well
Be a good partner to shows, networks, and others in the space. It’s ours to nurture

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Should Your Brand Shout Its AI and Marketing Plan to the World?

Published

3 hours ago

April 24, 2024

Entireweb News Bot

To use AI or not to use AI, that is the question.

Let’s hope things work out better for you than they did for Shakespeare’s mad Danish prince with daddy issues.

But let’s add a twist to that existential question.

CMI’s chief strategy officer, Robert Rose, shares what marketers should really contemplate. Watch the video or read on to discover what he says:

Should you not use AI and be proud of not using it? Dove Beauty did that last week.

Should you use it but keep it a secret? Sports Illustrated did that last year.

Should you use AI and be vocal about using it? Agency giant Brandtech Group picked up the all-in vibe.

Should you not use it but tell everybody you are? The new term “AI washing” is hitting everywhere.

What’s the best option? Let’s explore.

Dove tells all it won’t use AI

Last week, Dove, the beauty brand celebrating 20 years of its Campaign for Real Beauty, pledged it would NEVER use AI in visual communication to portray real people.

In the announcement, they said they will create “Real Beauty Prompt Guidelines” that people can use to create images representing all types of physical beauty through popular generative AI programs. The prompt they picked for the launch video? “The most beautiful woman in the world, according to Dove.”

I applaud them for the powerful ad. But I’m perplexed by Dove issuing a statement saying it won’t use AI for images of real beauty and then sharing a branded prompt for doing exactly that. Isn’t it like me saying, “Don’t think of a parrot eating pizza. Don’t think about a parrot eating pizza,” and you can’t help but think about a parrot eating pizza right now?

Brandtech Group says it’s all in on AI

Now, Brandtech Group, a conglomerate ad agency, is going the other way. It’s going all-in on AI and telling everybody.

This week, Ad Age featured a press release — oops, I mean an article (subscription required) — with the details of how Brandtech is leaning into the takeaway from OpenAI’s Sam Altman, who says 95% of marketing work today can be done by AI.

A Brandtech representative talked about how they pitch big brands with two people instead of 20. They boast about how proud they are that its lean 7,000 staffers compete with 100,000-person teams. (To be clear, showing up to a pitch with 20 people has never been a good thing, but I digress.)

OK, that’s a differentiated approach. They’re all in. Ad Age certainly seemed to like it enough to promote it. Oops, I mean report about it.

False claims of using AI and not using AI

Offshoots of the all-in and never-will approaches also exist.

The term “AI washing” is de rigueur to describe companies claiming to use AI for something that really isn’t AI. The US Securities and Exchange Commission just fined two companies for using misleading statements about their use of AI in their business model. I know one startup technology organization faced so much pressure from their board and investors to “do something with AI” that they put a simple chatbot on their website — a glorified search engine — while they figured out what they wanted to do.

Lastly and perhaps most interestingly, companies have and will use AI for much of what they create but remain quiet about it or desire to keep it a secret. A recent notable example is the deepfake ad of a woman in a car professing the need for people to use a particular body wipe to get rid of body odor. It was purported to be real, but sharp-eyed viewers suspected the fake and called out the company, which then admitted it. Or was that the brand’s intent all along — the AI-use outrage would bring more attention?

This is an AI generated influencer video.
Looks 100% real. Even the interior car detailing.
UGC content for your brand is about to get really cheap. ☠️ pic.twitter.com/2m10RqoOW3
Advertisement

— Jon Elder | Amazon Growth | Private Label (@BlackLabelAdvsr) March 26, 2024

To yell or not to yell about your brand’s AI decision

Should a brand yell from a mountaintop that they use AI to differentiate themselves a la Brandtech? Or should a brand yell they’re never going to use AI to differentiate themselves a la Dove? Or should a brand use it and not yell anything? (I think it’s clear that a brand should not use AI and lie and say it is. That’s the worst of all choices.)

I lean far into not-yelling-from-mountaintop camp.

When I see a CEO proudly exclaim that they laid off 90% of their support workforce because of AI, I’m not surprised a little later when the value of their service is reduced, and the business is failing.

I’m not surprised when I hear “AI made us do it” to rationalize the latest big tech company latest rounds of layoffs. Or when a big consulting firm announces it’s going all-in on using AI to replace its creative and strategic resources.

I see all those things as desperate attempts for short-term attention or a distraction from the real challenge. They may get responses like, “Of course, you had to lay all those people off; AI is so disruptive,” or “Amazing. You’re so out in front of the rest of the pack by leveraging AI to create efficiency, let me cover your story.” Perhaps they get this response, “Your company deserves a bump in stock price because you’re already using this fancy new technology.”

But what happens if the AI doesn’t deliver as promoted? What happens the next time you need to lay off people? What happens the next time you need to prove your technologically forward-leaning?

Yelling out that you’re all in on a disruptive innovation, especially one the public doesn’t yet trust a lot is (at best) a business sugar high. That short-term burst of attention may or may not foul your long-term brand value.

Interestingly, the same scenarios can manifest when your brand proclaims loudly it is all out of AI, as Dove did. The sugar high may not last and now Dove has itself into a messaging box. One slip could cause distrust among its customers. And what if AI gets good at demonstrating diversity in beauty?

I tried Dove’s instructions and prompted ChatGPT for a picture of “the most beautiful woman in the world according to the Dove Real Beauty ad.”

It gave me this. Then this. And this. And finally, this.

She’s absolutely beautiful, but she doesn’t capture the many facets of diversity Dove has demonstrated in its Real Beauty campaigns. To be clear, Dove doesn’t have any control over generating the image. Maybe the prompt worked well for Dove, but it didn’t for me. Neither Dove nor you can know how the AI tool will behave.

To use AI or not to use AI?

When brands grab a microphone to answer that question, they work from an existential fear about the disruption’s meaning. They do not exhibit the confidence in their actions to deal with it.

Let’s return to Hamlet’s soliloquy:

Thus conscience doth make cowards of us all;

And thus the native hue of resolution

Is sicklied o’er with the pale cast of thought,

And enterprises of great pith and moment

With this regard their currents turn awry

And lose the name of action.

In other words, Hamlet says everybody is afraid to take real action because they fear the unknown outcome. You could act to mitigate or solve some challenges, but you don’t because you don’t trust yourself.

If I’m a brand marketer for any business (and I am), I’m going to take action on AI for my business. But until I see how I’m going to generate value with AI, I’m going to be circumspect about yelling or proselytizing how my business’ future is better.

Want more content marketing tips, insights, and examples? Subscribe to workday or weekly emails from CMI.

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MARKETING

How to Use AI For a More Effective Social Media Strategy, According to Ross Simmonds

Published

2 days ago

April 22, 2024

Entireweb News Bot

How to Use AI For a More Effective Social Media Strategy, According to Ross Simmonds

Welcome to Creator Columns, where we bring expert HubSpot Creator voices to the Blogs that inspire and help you grow better.

It’s the age of AI, and our job as marketers is to keep up.

My team at Foundation Marketing recently conducted an AI Marketing study surveying hundreds of marketers, and more than 84% of all leaders, managers, SEO experts, and specialists confirmed that they used AI in the workplace.

If you can overlook the fear-inducing headlines, this technology is making social media marketers more efficient and effective than ever. Translation: AI is good news for social media marketers.

In fact, I predict that the marketers not using AI in their workplace will be using it before the end of this year, and that number will move closer and closer to 100%.

Social media and AI are two of the most revolutionizing technologies of the last few decades. Social media has changed the way we live, and AI is changing the way we work.

So, I’m going to condense and share the data, research, tools, and strategies that the Foundation Marketing Team and I have been working on over the last year to help you better wield the collective power of AI and social media.

Let’s jump into it.

What’s the role of AI in social marketing strategy?

In a recent episode of my podcast, Create Like The Greats, we dove into some fascinating findings about the impact of AI on marketers and social media professionals. Take a listen here:

Let’s dive a bit deeper into the benefits of this technology:

Benefits of AI in Social Media Strategy

AI is to social media what a conductor is to an orchestra — it brings everything together with precision and purpose. The applications of AI in a social media strategy are vast, but the virtuosos are few who can wield its potential to its fullest.

AI to Conduct Customer Research

Imagine you’re a modern-day Indiana Jones, not dodging boulders or battling snakes, but rather navigating the vast, wild terrain of consumer preferences, trends, and feedback.

This is where AI thrives.

Using social media data, from posts on X to comments and shares, AI can take this information and turn it into insights surrounding your business and industry. Let’s say for example you’re a business that has 2,000 customer reviews on Google, Yelp, or a software review site like Capterra.

Leveraging AI you can now have all 2,000 of these customer reviews analyzed and summarized into an insightful report in a matter of minutes. You simply need to download all of them into a doc and then upload them to your favorite Generative Pre-trained Transformer (GPT) to get the insights and data you need.

But that’s not all.

You can become a Prompt Engineer and write ChatGPT asking it to help you better understand your audience. For example, if you’re trying to come up with a persona for people who enjoy marathons but also love kombucha you could write a prompt like this to ChatGPT:

The response that ChatGPT provided back is quite good:

Below this it went even deeper by including a lot of valuable customer research data:

Demographics
Psychographics
Consumer behaviors
Needs and preferences

And best of all…

It also included marketing recommendations.

The power of AI is unbelievable.

Social Media Content Using AI

AI’s helping hand can be unburdening for the creative spirit.

Instead of marketers having to come up with new copy every single month for posts, AI Social Caption generators are making it easier than ever to craft catchy status updates in the matter of seconds.

Tools like HubSpot make it as easy as clicking a button and telling the AI tool what you’re looking to create a post about:

The best part of these AI tools is that they’re not limited to one channel.

Your AI social media content assistant can help you with LinkedIn content, X content, Facebook content, and even the captions that support your post on Instagram.

It can also help you navigate hashtags:

With AI social media tools that generate content ideas or even write posts, it’s not about robots replacing humans. It’s about making sure that the human creators on your team are focused on what really matters — adding that irreplaceable human touch.

Enhanced Personalization

You know that feeling when a brand gets you, like, really gets you?

AI makes that possible through targeted content that’s tailored with a level of personalization you’d think was fortune-telling if the data didn’t paint a starker, more rational picture.

What do I mean?

Brands can engage more quickly with AI than ever before. In the early 2000s, a lot of brands spent millions of dollars to create social media listening rooms where they would hire social media managers to find and engage with any conversation happening online.

Thanks to AI, brands now have the ability to do this at scale with much fewer people all while still delivering quality engagement with the recipient.

Analytics and Insights

Tapping into AI to dissect the data gives you a CSI-like precision to figure out what works, what doesn’t, and what makes your audience tick. It’s the difference between guessing and knowing.

The best part about AI is that it can give you almost any expert at your fingertips.

If you run a report surrounding the results of your social media content strategy directly from a site like LinkedIn, AI can review the top posts you’ve shared and give you clear feedback on what type of content is performing, why you should create more of it, and what days of the week your content is performing best.

This type of insight that would typically take hours to understand.

Now …

Thanks to the power of AI you can upload a spreadsheet filled with rows and columns of data just to be met with a handful of valuable insights a few minutes later.

Improved Customer Service

Want 24/7 support for your customers?

It’s now possible without human touch.

Chatbots powered by AI are taking the lead on direct messaging experiences for brands on Facebook and other Meta properties to offer round-the-clock assistance.

The fact that AI can be trained on past customer queries and data to inform future queries and problems is a powerful development for social media managers.

Advertising on Social Media with AI

The majority of ad networks have used some variation of AI to manage their bidding system for years. Now, thanks to AI and its ability to be incorporated in more tools, brands are now able to use AI to create better and more interesting ad campaigns than ever before.

Brands can use AI to create images using tools like Midjourney and DALL-E in seconds.

Brands can use AI to create better copy for their social media ads.

Brands can use AI tools to support their bidding strategies.

The power of AI and social media is continuing to evolve daily and it’s not exclusively found in the organic side of the coin. Paid media on social media is being shaken up due to AI just the same.

How to Implement AI into Your Social Media Strategy

Ready to hit “Go” on your AI-powered social media revolution?

Don’t just start the engine and hope for the best. Remember the importance of building a strategy first. In this video, you can learn some of the most important factors ranging from (but not limited to) SMART goals and leveraging influencers in your day-to-day work:

The following seven steps are crucial to building a social media strategy:

Identify Your AI and Social Media Goals
Validate Your AI-Related Assumptions
Conduct Persona and Audience Research
Select the Right Social Channels
Identify Key Metrics and KPIs
Choose the Right AI Tools
Evaluate and Refine Your Social Media and AI Strategy

Keep reading, roll up your sleeves, and follow this roadmap:

1. Identify Your AI and Social Media Goals

If you’re just dipping your toes into the AI sea, start by defining clear objectives.

Is it to boost engagement? Streamline your content creation? Or simply understand your audience better? It’s important that you spend time understanding what you want to achieve.

For example, say you’re a content marketing agency like Foundation and you’re trying to increase your presence on LinkedIn. The specificity of this goal will help you understand the initiatives you want to achieve and determine which AI tools could help you make that happen.

Are there AI tools that will help you create content more efficiently? Are there AI tools that will help you optimize LinkedIn Ads? Are there AI tools that can help with content repurposing? All of these things are possible and having a goal clearly identified will help maximize the impact. Learn more in this Foundation Marketing piece on incorporating AI into your content workflow.

Once you have identified your goals, it’s time to get your team on board and assess what tools are available in the market.

Recommended Resources:

2. Validate Your AI-Related Assumptions

Assumptions are dangerous — especially when it comes to implementing new tech.

Don’t assume AI is going to fix all your problems.

Instead, start with small experiments and track their progress carefully.

3. Conduct Persona and Audience Research

Social media isn’t something that you can just jump into.

You need to understand your audience and ideal customers. AI can help with this, but you’ll need to be familiar with best practices. If you need a primer, this will help:

Once you understand the basics, consider ways in which AI can augment your approach.

4. Select the Right Social Channels

Not every social media channel is the same.

It’s important that you understand what channel is right for you and embrace it.

The way you use AI for X is going to be different from the way you use AI for LinkedIn. On X, you might use AI to help you develop a long-form thread that is filled with facts and figures. On LinkedIn however, you might use AI to repurpose a blog post and turn it into a carousel PDF. The content that works on X and that AI can facilitate creating is different from the content that you can create and use on LinkedIn.

The audiences are different.

The content formats are different.

So operate and create a plan accordingly.

Recommended Tools and Resources:

5. Identify Key Metrics and KPIs

What metrics are you trying to influence the most?

Spend time understanding the social media metrics that matter to your business and make sure that they’re prioritized as you think about the ways in which you use AI.

These are a few that matter most:

Reach: Post reach signifies the count of unique users who viewed your post. How much of your content truly makes its way to users’ feeds?
Clicks: This refers to the number of clicks on your content or account. Monitoring clicks per campaign is crucial for grasping what sparks curiosity or motivates people to make a purchase.
Engagement: The total social interactions divided by the number of impressions. This metric reveals how effectively your audience perceives you and their readiness to engage.

Of course, it’s going to depend greatly on your business.

But with this information, you can ensure that your AI social media strategy is rooted in goals.

6. Choose the Right AI Tools

The AI landscape is filled with trash and treasure.

Pick AI tools that are most likely to align with your needs and your level of tech-savviness.

For example, if you’re a blogger creating content about pizza recipes, you can use HubSpot’s AI social caption generator to write the message on your behalf:

The benefit of an AI tool like HubSpot and the caption generator is that what at one point took 30-40 minutes to come up with — you can now have it at your fingertips in seconds. The HubSpot AI caption generator is trained on tons of data around social media content and makes it easy for you to get inspiration or final drafts on what can be used to create great content.

Consider your budget, the learning curve, and what kind of support the tool offers.

7. Evaluate and Refine Your Social Media and AI Strategy

AI isn’t a magic wand; it’s a set of complex tools and technology.

You need to be willing to pivot as things come to fruition.

If you notice that a certain activity is falling flat, consider how AI can support that process.

Did you notice that your engagement isn’t where you want it to be? Consider using an AI tool to assist with crafting more engaging social media posts.

Make AI Work for You — Now and in the Future

AI has the power to revolutionize your social media strategy in ways you may have never thought possible. With its ability to conduct customer research, create personalized content, and so much more, thinking about the future of social media is fascinating.

We’re going through one of the most interesting times in history.

Stay equipped to ride the way of AI and ensure that you’re embracing the best practices outlined in this piece to get the most out of the technology.

MARKETING

Advertising in local markets: A playbook for success

Published

3 days ago

April 21, 2024

Entireweb News Bot

Advertising in local markets: A playbook for success

Many brands, such as those in the home services industry or a local grocery chain, market to specific locations, cities or regions. There are also national brands that want to expand in specific local markets.

Regardless of the company or purpose, advertising on a local scale has different tactics than on a national scale. Brands need to connect their messaging directly with the specific communities they serve and media to their target demo. Here’s a playbook to help your company succeed when marketing on a local scale.

1. Understand local vs. national campaigns

Local advertising differs from national campaigns in several ways:

Audience specificity: By zooming in on precise geographic areas, brands can tailor messaging to align with local communities’ customs, preferences and nuances. This precision targeting ensures that your message resonates with the right target audience.
Budget friendliness: Local advertising is often more accessible for small businesses. Local campaign costs are lower, enabling brands to invest strategically within targeted locales. This budget-friendly nature does not diminish the need for strategic planning; instead, it emphasizes allocating resources wisely to maximize returns. As a result, testing budgets can be allocated across multiple markets to maximize learnings for further market expansion.
Channel selection: Selecting the correct channels is vital for effective local advertising. Local newspapers, radio stations, digital platforms and community events each offer advantages. The key lies in understanding where your target audience spends time and focusing efforts to ensure optimal engagement.
Flexibility and agility: Local campaigns can be adjusted more swiftly in response to market feedback or changes, allowing brands to stay relevant and responsive.

Maintaining brand consistency across local touchpoints reinforces brand identity and builds a strong, recognizable brand across markets.

2. Leverage customized audience segmentation

Customized audience segmentation is the process of dividing a market into distinct groups based on specific demographic criteria. This marketing segmentation supports the development of targeted messaging and media plans for local markets.

For example, a coffee chain might cater to two distinct segments: young professionals and retirees. After identifying these segments, the chain can craft messages, offers and media strategies relating to each group’s preferences and lifestyle.

To reach young professionals in downtown areas, the chain might focus on convenience, quality coffee and a vibrant atmosphere that is conducive to work and socializing. Targeted advertising on Facebook, Instagram or Connected TV, along with digital signage near office complexes, could capture the attention of this demographic, emphasizing quick service and premium blends.

Conversely, for retirees in residential areas, the chain could highlight a cozy ambiance, friendly service and promotions such as senior discounts. Advertisements in local print publications, community newsletters, radio stations and events like senior coffee mornings would foster a sense of community and belonging.

Dig deeper: Niche advertising: 7 actionable tactics for targeted marketing

3. Adapt to local market dynamics

Various factors influence local market dynamics. Brands that navigate changes effectively maintain a strong audience connection and stay ahead in the market. Here’s how consumer sentiment and behavior may evolve within a local market and the corresponding adjustments brands can make.

Cultural shifts, such as changes in demographics or societal norms, can alter consumer preferences within a local community. For example, a neighborhood experiencing gentrification may see demand rise for specific products or services.
- Respond by updating your messaging to reflect the evolving cultural landscape, ensuring it resonates with the new demographic profile.
Economic conditions are crucial. For example, during downturns, consumers often prioritize value and practicality.
- Highlight affordable options or emphasize the practical benefits of your offerings to ensure messaging aligns with consumers’ financial priorities. The impact is unique to each market and the marketing message must also be dynamic.
Seasonal trends impact consumer behavior.
- Align your promotions and creative content with changing seasons or local events to make your offerings timely and relevant.
New competitors. The competitive landscape demands vigilance because new entrants or innovative competitor campaigns can shift consumer preferences.
- Differentiate by focusing on your unique selling propositions, such as quality, customer service or community involvement, to retain consumer interest and loyalty.

4. Apply data and predictive analytics

Data and predictive analytics are indispensable tools for successfully reaching local target markets. These technologies provide consumer behavior insights, enabling you to anticipate market trends and adjust strategies proactively.

Price optimization: By analyzing consumer demand, competitor pricing and market conditions, data analytics enables you to set prices that attract customers while ensuring profitability.
Competitor analysis: Through analysis, brands can understand their positioning within the local market landscape and identify opportunities and threats. Predictive analytics offer foresight into competitors’ potential moves, allowing you to strategize effectively to maintain a competitive edge.
Consumer behavior: Forecasting consumer behavior allows your brand to tailor offerings and marketing messages to meet evolving consumer needs and enhance engagement.
Marketing effectiveness: Analytics track the success of advertising campaigns, providing insights into which strategies drive conversions and sales. This feedback loop enables continuous optimization of marketing efforts for maximum impact.
Inventory management: In supply chain management, data analytics predict demand fluctuations, ensuring inventory levels align with market needs. This efficiency prevents stockouts or excess inventory, optimizing operational costs and meeting consumer expectations.

Dig deeper: Why you should add predictive modeling to your marketing mix

5. Counter external market influences

Consider a clothing retailer preparing for a spring collection launch. By analyzing historical weather data and using predictive analytics, the brand forecasts an unseasonably cool start to spring. Anticipating this, the retailer adjusts its campaign to highlight transitional pieces suitable for cooler weather, ensuring relevance despite an unexpected chill.

Simultaneously, predictive models signal an upcoming spike in local media advertising rates due to increased market demand. Retailers respond by reallocating a portion of advertising budgets to digital channels, which offer more flexibility and lower costs than traditional media. This shift enables brands to maintain visibility and engagement without exceeding budget, mitigating the impact of external forces on advertising.

6. Build consumer confidence with messaging

Localized messaging and tailored customer service enhance consumer confidence by demonstrating your brand’s understanding of the community. For instance, a grocery store that curates cooking classes featuring local cuisine or sponsors community events shows commitment to local culture and consumer interests.

Similarly, a bookstore highlighting local authors or topics relevant to the community resonates with local customers. Additionally, providing service that addresses local needs — such as bilingual service and local event support — reinforces the brand’s values and response to the community.

Through these localized approaches, brands can build trust and loyalty, bridging the gap between corporate presence and local relevance.

7. Dominate with local advertising

To dominate local markets, brands must:

Harness hyper-targeted segmentation and geo-targeted advertising to reach and engage precise audiences.
Create localized content that reflects community values, engage in community events, optimize campaigns for mobile and track results.
Fine-tune strategies, outperform competitors and foster lasting relationships with customers.

These strategies will enable your message to resonate with local consumers, differentiate you in competitive markets and ensure you become a major player in your specific area.

Dig deeper: The 5 critical elements for local marketing success

Opinions expressed in this article are those of the guest author and not necessarily MarTech. Staff authors are listed here.