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How To Turn Complex Topics Into Content Your Audience Will Understand

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How To Turn Complex Topics Into Content Your Audience Will Understand

Recently, a client in the technology industry wanted to develop clear, easy-to-understand content that their audience could relate to. But it didn’t seem possible.

Without skilled writers to translate technical concepts into business outcomes, this company could not build its content program, which affected its ability to differentiate in a crowded market. The constraints of a difficult reality seemed impossible to overcome.

Yet, their goal really was possible. Let’s explore five ways that you can turn complex ideas into interesting, engaging, and original content.

Define your audience’s technical knowledge

Successfully writing about complex topics depends on the audience’s knowledge level.

Matthew Rayback, senior manager of UX content strategy at Adobe, has spent the last decade building content programs for technology companies. “Do the work of understanding who your audience is and what their tolerance – or even expectation – of complexity is,” he says.

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Do the work of understanding who your audience is and what their expectation of complexity is, says @matthewrayback via @SarahLParkerUK @CMIContent. Click To Tweet

The challenge is to avoid being too technical or too simplistic, both of which can prevent readers from connecting with your message. “If you’re writing about a highly technical subject to a lay audience, you likely need to find ways to simplify (think metaphors or examples, etc.),” Matthew says. “But if you’re writing about the same topic to a specialist audience, they will likely be insulted by a simplistic approach and will be evaluating you on your ability to reflect the complexity they’re looking for.”

To match your language with the terms, concepts, and examples with which your audience is familiar, map their technical knowledge before you write.

Example: A List Apart, a site for people interested in web standards and best practices, published an article – Breaking Out of the Box – for a developer audience. The piece uses technical language, such as “device postures” and “Window Controls Overlay for Progressive Web Apps,” shown in the text below, that this audience would understand. However, a layperson likely would find those terms disruptive to their reading experience.

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Understand the topic

Masooma Memom, a writer for SaaS brands, is experienced at mastering complex information to help educate audiences. She says the best way to write about complex topics is to learn about them first.

“After all, if you aren’t clear about the topic, you won’t be able to explain it to your readers,” she says.

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The way to write about complex topics is to learn about them first, says @inkandcopy via @SarahLParkerUK @CMIContent. Click To Tweet

Build your understanding using one of these two approaches:

  • Explain your topic to a rubber duck. This is an old programming trick. Because the duck knows nothing about coding, the expert breaks down the problem by talking aloud to it. “This helps you identify flaws in your understanding of the topic and also gives you ideas for how to explain it simply and clearly to your readers,” Masooma says.
  • Visualize your topic with a concept map. If you don’t like talking to yourself, use a concept map to define the most important ideas. “Create one using arrows to explain how steps or concepts are linked. It’ll give you lots of clarity on the topic, prepping you well for writing about it in a clear manner,” Masooma explains.

These methods also help you frame your language to support your audience’s understanding.

Example: Moz’s internal links pillar page explains the topic in a way that demonstrates deep understanding of the topic. The image below shows how headings and subheadings – what are internal links, code sample, optimal format, SEO best practice – guide readers to the answers they need.

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Learn the lingo, then unlearn it

Knowing the topic is an important step. Yet, questioning how the word choices relate to the audience is what underpins success. Kim Grob, co-founder at Write On, leads a team of creative directors, content strategists, and writers who specialize in transforming complex information into compelling human stories.

“The really tricky part comes after you’ve got a good working knowledge of the subject. That’s when you’ve got to become something of a translator. You’ve got to take all that complex information and turn it into a story that people actually want to read,” Kim explains.

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She says while understanding technical terminology and industry jargon helps create precise and clear writing, high-quality content comes from finding simple word choices to replace those complex terms.

“While some technical terminology will likely be needed to make your story precise and resonant for your readers, use it sparingly,” Kim says. “Focus instead on language that reflects the way people actually speak. This will help you find the human pulse in even the most technical content.”

Use technical terminology sparingly. Focus on language that reflects the way people actually speak, says Kim Grob of @WriteOnNetwork via @SarahLParkerUK @CMIContent. Click To Tweet

Amy Higgins, senior director, content strategy, at Twilio, has spent her career targeting content for specific audiences. Both Amy and Kim say simple word choices are crucial, but Amy suggests a novel approach to driving empathy.

“Use the ‘Will my mom understand this?’ testing method before you publish it,” she says. “Every mom is different, but let’s just say my mom is not the most technologically advanced. She once asked me, ‘How do I get on the Google? I can get on the Facebook, but not the Google’. If you simplified the topic and told a great, informative story, anyone should be able to understand the topic, no matter how complex.”

Use the ‘will my mom understand this?’ test before you publish content on complex topics, says @amywhiggins via @SarahLParkerUK @CMIContent. Click To Tweet

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Example: This University of Utah article, What Causes Miscarriage, covers medical terminology – “congenital anomalies” – pairs it with clear and simple explanatory language – “anomalies you’re born with.”

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Go straight to the source

Your specialists – internal subject matter experts and external influencers – are the best way to access deep industry knowledge.

Ashley Zeckman, vice president of strategy and customer success at Onalytica, has spent the last seven years leading B2B influencer marketing strategy for enterprise brands. She recommends going straight to the experts to turn complex information into interesting content.

Go straight to the experts to turn complex information into interesting #content, says @zeckman via @SarahLParkerUK @CMIContent. Click To Tweet

“Often, we find that the more complex topics are, the less interesting the final product tends to be. My best advice for writing about complex topics is to go straight to the source,” Ashley says.

Develop both internal and external expert outreach:

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  • Leverage your internal experts for specialist knowledge. “SMEs give you the opportunity to access a wealth of knowledge, but they aren’t trained in content creation,” says Ashley. “Create a brief that includes questions you’d like their insights on at least five business days ahead of the interview. Then bundle together questions that will help you create multiple content assets.”
  • Scale your content creation with external experts and influencers. By boosting the depth of your expertise working with outside experts, you build credibility with your audience. Ashley suggests these ideas for external outreach:
  • Highlight the benefit to the influencer (monetary or otherwise).
  • Make participation easy in a medium that works best for them.
  • Engage them to promote the content they created by providing social images and suggested social messages.
  • Provide an individual tracking link to each expert so you can determine who resonates the most with your target audience.

“Then it’s your job to bring all these pieces together – by enlisting the help of others to provide deep expertise, you can focus your efforts on developing the red thread that ties the stories together and creates a memorable experience for your target audience,” Ashley says.

Example: The 2021 B2B Influencer Compensation Report from Onalytica and Convince & Convert combines influencer quotes, data, and customer challenges to create a single thread. This image reflects that package for the topic of authoring e-books and white papers.

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Be a storyteller

Speaking to subject matter experts is one piece of the puzzle. Translating their knowledge into a compelling story that closes the gap between your business and audience is another. Becky Lawlor, founder of Sparkifico, has developed content for leading technology companies.

“Get rid of the jargon and use stories,” she explains. “Whether that’s customer stories you already have that you can pull from or hypothetical ones you create. Stories will help your audience better visualize and understand how the concepts you’re talking about can be put to action in the real world.”

To simplify complex topics, get rid of the #jargon and use #storytelling, says @lawlor_becky via @SarahLParkerUK @CMIContent. Click To Tweet

Develop your story around your customer, i.e., the reader:

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  • Wrap solutions in customer stories. Use testimonials and case studies to make your customer the hero, navigating a series of conflicts to a successful outcome. “Don’t turn your case studies into long paragraphs or lists of information. Instead, build your customer’s context to make your content engaging and relatable,” Becky says.
  • Hook your customers with original stories. The best narratives come from people who have the same problems as your customers. “Use surveys and interviews to find out what is and isn’t working for your audience. Your stories need to come directly from your customers – whether that’s through case studies and testimonials or original research,” Becky says.

“Content created or co-created by customers gives businesses a direct line into the problems their audience are trying to solve and adds an air of credibility that can’t be achieved in other ways,” she explains.

Example: Salesforce’s case study on Cytiva, a biopharmaceutical company, uses first-hand narratives to connect with the readers and build a shared experience, including this quote about advancing human health: “Our sense of purpose has never been greater. It normally takes around 10 years to bring a new pharmaceutical product to market; the industry had to pivot to deliver in a matter of months.”

This type of frontline story can then inspire readers to solve their own challenges.

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Turn technical jargon into powerful stories

I have learned the best way to write about complex topics is to tell stories developed from connections with audiences, experts, and industry knowledge. To get better at this, you need to identify your readers’ knowledge level, gain a basic understanding of the topic, write using the same language as the audience, and work with experts.

Only then can you connect these elements with powerful storytelling.

Translating technical jargon into stories is about following a process that enables the right balance for your readers. Marketers with this thinking can systematize high-quality content that delivers a clear message.

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Need more guidance to hone your content marketing skills? Enroll in CMI University and get 12-month on-demand access to an extensive curriculum designed to help you do your job better and more effectively.

Cover image by Joseph Kalinowski/Content Marketing Institute



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Unlocking Hidden Revenue: The Inbox Retargeting Methodology

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Unlocking Hidden Revenue: The Inbox Retargeting Methodology

Page conversion rates have ALWAYS been a problem. The simple fact is most people don’t convert even on the most optimized pages. 

What’s why traditional retargeting on ad networks has been so dang powerful. While retargeted leads come cheap, they still aren’t free. Worse, you’re back competing against your competition in the ol’ ad auction system.

For the last 6 years, I’ve been using a tactic called Inbox Retargeting to identify who lands on my key pages and directly reach out to them in their inbox.

No more ads. No more auctions. Just a targeted contact that showed they were interested, but didn’t quite take the leap yet.

Before I dive into the “What’s” and “How’s”, this tactic can only be used in the good ol’ US of A. If you aren’t in the states or don’t have clients in the states, you’re out of luck. Sorry!

How It Works

Inbox retargeting doesn’t take a lot of heavy lifting. I’ll share the strategy next but I wanted to start with some of the logistics.

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DISCLAIMER: I am not a lawyer or coder, so keep that in mind if technical or legal questions pop up.

If you have a website, you have tracking scripts, e.g.,  GA4, the Facebook Pixel, Heatmap software, etc…

To get started with Inbox retargeting, you just need to be able to copy and paste two scripts on your site:

  • A collection script: This fires and tries to identify the visitor

A suppression script: You’d fire this on your conversion confirmation pages, you don’t want people who converted to land in your Inbox Retargeting campaigns.

1710795438 253 Unlocking Hidden Revenue The Inbox Retargeting Methodology

The tech works off of a database of contacts in the United States that are eligible for emails, so it’s completely above board with your ESP. However, you’ll want to do a few things before you start treating them like a regular member of your email list.

We initially tested this on one of our paid media campaigns. We already had a really strong campaign that we wanted to squeeze more leads out of…and boy did we.

We were driving traffic from Meta (Facebook for the OGs) to this landing page:

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This page converts at 58%. Yeah, that’s a humble brag…deal with it.

Even with a 58% conversion rate, we’re still missing out on 42% of the traffic we’ve already paid for. That’s kind of a bummer.

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After we added the collection script to the page, they were able to capture a lot more leads. The conversion rate jumped from 58% to a very sweet 87% – that’s a 50% increase!

That was the impact on a single page, that’s when we knew it was time to go bigger.

The Strategy

Most of the tools out there, whether it’s Retention.com or Customers.ai, are going to charge based on the number of contacts. So it can get pretty easy to burn through contact credits if you run the script on every page you manage, your site and your clients’ sites included.

That’s why you’ll want to make sure to select pages that capture intent versus targeting all of your traffic.

ID Key Pages

Here are some of the pages you should consider adding the collection script:

  1. Campaign Landing Pages – If you’re paying to send someone to a page, the referring source piqued their interest. If they didn’t convert, you’d definitely want to follow up.
  2. Product Pages – If someone is viewing this page they’re evaluating a particular product they were interested in.
  3. High Intent/Value Content Pages – This could be your pillar content on your blog pages, podcast pages, or your top level service pages.
  4. Registration Pages – This is a subset of a landing page, but if someone got all the way to a registration or sigh up page, they’re a prime candidate for outreach.
  5. Cart Pages – People abandon carts all the time. If you weren’t able to catch their details during checkout, this is an ideal opportunity.

Effectively it’s any page where you’re pushing a specific action. While the above pages are the pages to choose from, a homepage is acceptable but will require a little more finesse when you follow up.

Map to Email Campaigns

Now that you’ve identified where you’re going to identify leads, you’ll need to map it to your automation tool.

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Unlocking Hidden Revenue The Inbox Retargeting MethodologyUnlocking Hidden Revenue The Inbox Retargeting Methodology

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Most tools have a direct integration with your email service provider, but worst case scenario you may have to pass the data through a no code integration tool like Zapier.

Once you’ve worked out the digital plumbing, you’ll want to follow up based on the page the contact was collected on. Here’s how you should approach follow up:

  1. For Campaign Landing Pages – Give them the specific asset. They were interested in it, you’ve got their contact information, just hand over the goods. This builds good will at the start of the relationship.
  2. Product Pages – Send over the details of the product or product category they were viewing. This could be as simple as a reminder or you could build goodwill with a special offer or coupon.
  3. High Intent/Value Content Pages – Send over some of your best content or freebies that move people to the next phase of the Customer Value Journey.
  4. Registration Pages – Treat these like an “abandoned cart” type of email and get them to take that next step.
  5. Cart Pages – Same as “Registration Pages” but it’s, you know, an actual abandoned cart reminder. Similar to the product pages you could entice them to come back with a deal or coupon.
  6. Homepages – If you do run these on the homepage, you’ll need to do more of a reintroduction then transition to showcasing your best stuff.

Email Structure

The initial message you send needs to have a very specific flow. There are four critical things that need to happen when they open up your Inbox Retargeting message.

First, remind them about who you are and how they know you. This can be as simple as a, “Hey, thanks for stopping by…” message. Have some fun with it.

Next, you need to provide highly specific value based on their browsing intent. If you get this wrong, they’re just going to file your message under SPAM.

After that, you’ve got to set expectations with what they’re getting and now you’ll be communicating with them moving forward.

And Finally, you need to give them an EASY OUT. These campaigns have our highest unsubscribe rate, but that’s because we outright ask people to unsubscribe if they don’t want any additional contact.

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Once you’e gone through this, you treat them like one of your regular subscribers with all your fancy ascension automations, content emails, and promotional emails.

Here are the email stats from one of our PPC Campaigns:

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With an average open rate of 53.87%, we know there’s a base line interest in the deliverable. The click rate is DANG good for messaging visitors who didn’t convert.

Sure the unsubscribe rate is a little high for this campaign, but that is intentional. We push them to opt-out in the first email so we don’t get dinged later with complaints.

The Payoff: An Additional 109k Last Year

I mean, who doesn’t want another cool 100 grand for adding a script to your website and writing a couple of emails? Here’s how the numbers work out:

Last year, we identified 3,714 leads using this method. IMPORTANT: When I was pulling these numbers, I realized we installed the code wrong on some pages and missed out on about another 2k leads…oops!

Our average lead cost was ~$7, so the leads themself were a $26,000 additional value. This alone would be a reason to use the tech.

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BUT JUSTIN, did they convert?!

Yes!

We closed $36,000 in IPPC business from this lead source. For what we spent on those leads we’re looking at a 750% ROAS. Not too shabby.

The rest of the money we made was by selling this service to our clients. Since we run paid ads for clients, this method is a complete no brainer. We ran a pilot program and only offered this to a handful of clients last year, we averaged about 4k/month in sales.

We sold clients the leads at ~$2/lead for some of the niches we work in, that’s a steal. 

If you decide to sell this you need to make sure the client knows these are lower intent leads and will require longer term nurtures. If you follow the email strategy I shared above, you’ll be good to go!

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Protip: Charge for building the follow up sequence! 

So that’s it! If you’re running your own business or are an agency owner, you’ve got to consider Inbox Retargeting. Though, I do have some bad news…

Not to be “Chicken Little” but this is starting to get way more attention, there are services popping out of the woodwork so this will become a table stakes method. So get ahead of this today.

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What’s Media Mix Modeling? [Marketer’s Guide with Examples]

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What’s Media Mix Modeling? [Marketer’s Guide with Examples]

Privacy


By Emily Sullivan

Have you ever felt in the dark when it comes to understanding the real impact your marketing dollars are having across multiple channels? 

Determining where and how conversions are occurring is crucial in optimizing your budget to drive the most impact with your marketing budget. Media mix modeling (MMM) is an analytical approach used to gauge the effectiveness of various marketing channels in driving sales and conversions. This method allows us to decipher the true influence of advertising spend across diverse platforms by accounting for a myriad of factors, both within their control (like media channel spend, promotional strategies) and outside their control (such as economic conditions, competitor actions, and seasonal influences).

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One of the key strengths of media mix modeling is its ability to incorporate long-term brand building effects alongside immediate sales impacts, offering a comprehensive view of marketing effectiveness. It helps in identifying which channels are most efficient, how different channels influence each other, and how external factors affect marketing performance.

Media mix modeling is a powerful tool for marketers seeking to optimize their marketing investments. By providing a holistic view of how various factors contribute to sales and conversions, MMM enables data-driven decisions that enhance marketing efficiency and business growth.

In this article, we explore how media mix modeling works, and how businesses can use analytics to drive smarter ad spend decisions.

What Is Media Mix Modeling?

Media mix modeling (MMM) is a type of analysis that measures the impact of media buys across multiple channels, showing the role various elements play in achieving a desired outcome—often a conversion or revenue KPI. With this information, marketing stakeholders are able to make specific adjustments to campaign spend to improve their progress toward reaching a given goal.

Media mix modeling can be used to address common brand marketing questions and pain points, including:

  • Which of our marketing efforts are having the biggest impact on reaching our goals—or, more simply—what’s working?
  • How big of an impact does seasonality have on our marketing performance?
  • How closely is our performance tied to promotional efforts? 
  • Are shifting consumer trends negatively or positively impacting outcomes?
  • Which specific mix of spend allocation drives the highest ROI?
  • How will these channels likely perform in the future based on their optimized spend allocation?

“Media mix modeling is a top-down , privacy resilient approach that evaluates how historical media activity, promotions, pricing, seasonality, and uncontrollable factors—such as economic activity—impact key business outcomes such as sales revenue. MMM is a scientific approach to attribution in the sense that it applies statistical methods to analyze and interpret marketing data, providing a systematic understanding of how different marketing channels contribute to overall business goals in the broader context of the market. The quality of insights derived from MMM heavily depends on the quality and granularity of the data used.”

— Annica Nesty, Group Director of Marketing Science at Tinuiti

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MMM leverages aggregate data, and can measure both online (digital) and offline (traditional) advertising channel performance, including (but not limited to): paid media channels such as social media channels, traditional print advertising, linear TV advertising, and other performance marketing efforts, organic media, operational factors like promotions, external factors like seasonality, economic conditions, outcome KPIs such as sales revenue, new customers, and conversions. 

How Does Media Mix Modeling Work?

The MMM framework is a type of statistical analysis that uses statistical methods and econometric models such as a regression analysis. This econometric model helps analysts determine the strength of relationships between a single dependent variable and an array of independent variables.

Media mix modeling analysis measures the impact of your media spend today, and is also helpful in predicting the future outcome of your marketing investments on a given variable.

Example:

Let’s assume a scenario where our target metric, or dependent variable, is revenue, a critical indicator of business success. We aim to dissect the influence of various marketing initiatives on this revenue. These initiatives, our independent variables, encompass a diverse array of digital advertising campaigns, including those run on TikTok, Instagram, Snapchat, as well as broader Display and Streaming platforms.

The number of independent variables under scrutiny does not dilute our core objective. The mission is to measure the relationship between the marketing endeavors and the revenue they generate. This involves not only identifying the direct contributions of each campaign to revenue but also understanding the nuanced interplay between them by observing how changing aspects of those independent variables impacts the chosen business outcome

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What can MMM Measure?

When using MMM to assess campaign success, marketers should leverage statistical methods and econometric models to get the most accurate picture possible. Data quality is essential in achieving an accurate media mix analysis, so take any needed time to clean your data before using it in your analysis. 

Key elements an MMM equation can measure include:

  • Base and incremental sales volume impact
  • Channel effectiveness and return on investment
  • Marketing spend saturation

Media Mix Modeling vs. Data-Driven Attribution Modeling

Like media mix modeling, attribution modeling also studies the efficiency of marketing strategies — but there are important differences.

Attribution modeling is a general term that refers to tracking engagement to better understand how specific tactics drive action at the user level. This modeling works well for analyzing specific customer touchpoints, focusing on elements like how a consumer converted, which creative on which channel led to that conversion, and what the expected ROI could be if more ad budget were shifted to that channel. 

Media mix modeling takes a higher-level, more comprehensive picture. This modeling isn’t designed to measure user-level engagement like impressions and clicks, rather its primary function is measuring the impact of an entire touchpoint on specific marketing objectives. 

Data-driven attribution modeling and MMM each have their own set of strengths. It’s not a matter of one being better than the other, rather one being better-suited to different types of marketing analysis. 

For example:

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  • The precision of the data-driven attribution: Let’s assume you want to invest more spend in a social ad campaign during the holiday season. While MMM is an option for determining where to allocate those dollars, data-driven attribution excels in dissecting the intricate customer journey, offering a microscopic view of user interactions. For instance, if you’re keen on understanding the exact value of a single click from your social media campaign, Data-Driven Attribution can illuminate the path. 
  • The holistic perspective of the media mix modeling:  Media mix modeling, can consider the impact of offline actions and initiatives. Unlike the more narrowly focused attribution models, which might overemphasize the first or last touchpoint, MMM assesses the collective impact of all channels over time. This makes it an indispensable tool for strategic planning and long-term investment decisions in your marketing portfolio.

“Attribution modeling is based on a bottom-up approach while media mix modeling takes a top-down approach. Media mix modeling provides a long-term view of the marketing ROI of media activity, while attribution modeling evaluates individual-level activity to provide a short term view of marketing ROI.” 

— Annica Nesty, Group Director of Marketing Science at Tinuiti

Why Does MMM Make Sense for a Post-cookie/Post-IDFA World?

In the post-cookie and post-IDFA landscape, where privacy concerns and regulatory changes limit access to individual user-level data, media mix modeling has become a pivotal analytical tool. MMM’s emphasis on overall marketing spend allocation and its proficiency in establishing cause-and-effect models, address the challenges posed by the diminishing availability of explicit conversion information, providing marketers with a privacy-respecting and insightful approach to navigate the evolving digital advertising ecosystem.

An Example of Media Mix Modeling

With the right media mix model, a business can measure their past marketing performance to improve future ROI by optimizing the allocation of the media budget by channel and/or tactic, including: traditional and digital media channels, promotions, pricing, competitor spend, economic conditions, weather, and more.

Example:

An international ecommerce brand wanted to forecast their second-half of the year and create an optimal media mix to make their marketing dollars work smarter. A combination of client data, marketing data, and machine learning were required to create a powerful, custom media mix model. 

To build the model, the business used 2+ years of digital marketing and revenue data, analyzing it by market, tactic, and day. The data was then used to create model to assess future spend showing how changes in investment across channels could impact revenue and sales.

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media mix modeling

The full digital media mix model gave the ecommerce brand a detailed analysis of where to optimize their spend across all digital marketing channels. 

One recommendation was to shift dollars away from social—which historically had been at or near 30%—to paid search. This recommendation came with another layer of insight: The brand realized they were overinvesting in awareness campaigns, and needed to invest more heavily in capturing current demand during the 2nd half of the year.

Results: Working with a robust media mix model, the brand was able to break down how much media spend was needed by each channel in order to achieve the 30% YoY revenue goal they targeted. 

The Benefits & Challenges of Media Mix Modeling

MMM helps you accurately connect all the dots, leveraging (ideally) a wealth of provided data, to understand how disparate aspects of marketing campaigns work together in helping you reach your business goals. 

Benefits of Media Mix Modeling

The benefits of MMM are multifaceted, offering marketers a strategic edge in navigating the intricacies of their advertising efforts. Let’s dive into each benefit in detail… 

Omnichannel Campaigns: MMM excels in providing insights for omnichannel campaigns, allowing marketers to understand and optimize the impact of their initiatives across various channels. This capability is crucial in today’s interconnected digital landscape, where consumers engage with brands through diverse platforms.

Improved Oversight Over Media Spend Impact: MMM provides a comprehensive view of the impact of media spend, enabling marketers to assess the effectiveness of their investments. This improved oversight ensures a clearer understanding of how each component of the media mix contributes to overall campaign success.

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Media Spend Optimization: With MMM, marketers can optimize their media spend by identifying the most impactful channels and touchpoints. This data-driven approach allows for strategic adjustments in budget allocation, ensuring that resources are directed towards the avenues that yield the highest return on ad spend.

Effective Targeting of Audiences: MMM’s analysis helps in refining audience targeting strategies. By understanding which elements of the marketing mix resonate most with specific demographics, marketers can tailor their campaigns to effectively reach and engage their target audience segments.

Forecasting with Certainty: One of MMM’s strengths lies in its ability to forecast results with a high degree of certainty. This forecasting capability empowers marketers to make informed decisions based on predictive analytics, aiding in long-term planning and goal setting.

Reduced Reliance on Personally Identifiable Information (PII): MMM minimizes the reliance on personally identifiable information for analysis. This is especially crucial in an era where privacy concerns are more important than ever. 

Media mix modeling is a comprehensive and powerful tool, offering a range of benefits that contribute to a more effective, data-driven, and privacy-conscious approach to marketing strategy and decision-making. While there are many benefits to MMM, there are challenges as well. Let’s look into common challenges of MMM in our next section.

Challenges of Media Mix Modeling

MMM grows increasingly complex as the media landscape becomes more fragmented, and the customer journey more personalized. Whereas in the past, advertisers may have wanted to measure something as simple as the impact of a print ad in a Cleveland newspaper, today’s consumers are exposed to brands in a wide variety of locations and formats, from a subway transit poster to a Sponsored post on Instagram.

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Working with high-quality data is important in any measurement initiative, but for MMM to work effectively, it also needs a lot of data to build a reliable model. For example, if you wanted your model to consider the performance impact of seasonality, it would ideally need at least three full seasons (three years) of data to consider in its analysis.

This makes media mix modeling a ‘long game’ initiative with infrequent reporting by its nature. Brands and advertisers who are more accustomed to daily or weekly updates may struggle with ‘waiting out’ the analysis.

Because it’s not designed to make considerations based on user-level data, instead providing aggregate insights, media mix modeling offers limited insights on brand impact, personalized targeting, and customer experience. However, advanced models are available that can provide highly granular insights, but traditional MMM provides aggregate insights.

Common Misconceptions About Media Mix Modeling

Media mix modeling, like many other analytics solutions, has also become a marketing buzzword that has generated its fair share of misconceptions.

Here are a few of the most common misconceptions around media mix modeling.

Media Mix Models Are Not Transparent

With large datasets and statistical analysis involved in media mix modeling, the methods behind the technique have been critiqued for their obscurity. If there is no perceived transparency in the process, how does a brand know if its media mix model is really accurate?

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Any organization specializing in media mix modeling should provide a transparent approach, with deliverables such as outlines, milestones, and performance reports. Additionally, you may want to consider partnering with an agency that truly understands how media mix modeling aligns with your needs and expectations. Every business is unique and each media mix model is based on multiple factors.

Media Mix Models Do Not Provide Real-time Data

Today, results are often measured by the timeliness of their delivery, with the current digital marketplace allowing for almost instantaneous real-time data. Media mix models do actually provide compelling real-time marketing insights, perfect for evaluating new campaigns, new competitors, and assessing pricing actions or changes in promotional strategies. 

A powerful partner in media mix modeling will provide sophisticated tools and real-time approaches to satisfy your business performance assessments. Your partner should also be able to provide forecasting, simulation, or AI- and machine-learning-integrated models to suggest future movements. 

Media Mix Modeling is Biased to Offline Channels

Though media mix strategies do integrate and consider offline channels in their approaches, media mix modeling also considers all digital channels — including display, email, paid search, social, and more. Remember—it’s considering your media mix. If that includes ten different channels and you provide enough high-quality data for each, they will all be considered in your marketing mix analysis. 

In fact, as customers have become more intertwined with digital channels, media marketing models have adapted to go even deeper into the analyses provided by those channels’ respective insights to support better budgeting choices and customer segmentation reports. 

Conclusion: MMM Closes the Loop on Marketing Performance

In an ever-evolving digital landscape, MMM’s adaptability to the post-cookie/post-IDFA world positions it as an essential tool for marketers. As businesses seek to connect the dots, leverage data, and make strategic decisions, MMM is a crucial ally in the dynamic realm of mixed media advertising.

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“At Tinuiti, we leverage measurement best practices such as MMM and incrementality to understand media effectiveness, predict future outcomes, create deeper insights, analyzing what-if scenarios to provide recommendations that optimize media performance. This helps brands understand what channels they should be investing in, how they should shift budgets (media mix), creating a high-level view of what channels are driving overall sales and ROI. Our goal here is to deliver growth for our clients by maximizing the return on investment through best in class measurement”

— Annica Nesty, Group Director of Marketing Science at Tinuiti

At Tinuiti, we know, embrace, and utilize MMM. Our Rapid Media Mix Modeling sets a new standard in the market with its exceptional speed, precision, and transparency. 

Our proprietary measurement technology, Bliss Point by Tinuiti, allows us to measure what marketers have previously struggled to measure – the optimal level of investment to maximize impact and efficiency.  But this measurement is not just to go back and validate that we’ve done the right things. This measurement is real-time informing what needs to happen next.

Curious about how we can tailor strategies to hit your unique marketing bliss point, including Rapid Media Mix Modeling? We’re eager to chat. Contact us today for details.

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Email Ready to Send? Make Sure to Tick These Things off First!

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Email Ready to Send? Make Sure to Tick These Things off First!

Designing and developing an email campaign is a complex mechanism; a few things will inevitably escape your attention during the process. So, before you hit that send button, you must draw up a foolproof checklist to ensure every single component in your campaign is in its rightful place. Wondering what an ideal pre-flight checklist looks like? We’ve carefully compiled everything necessary in this blog. Read on to find out!

Subject Line and Pre-header Text

A subject line can make or break your emails. It’s the first thing about your email that reaches the audience, and if it fails to hit the right notes, you’ll have a tough time convincing your subscribers to engage with your emails.

What makes a subject line tick, you ask? Let’s take a look!

  • Your subject line should prioritize an economy of words; this will help you on two accounts- firstly, a crisp and to-the-point subject line increases your probability of catching the reader’s attention. Secondly, longer subject lines run the risk of being clipped on mobile devices, thereby spoiling the subscriber’s user experience. By keeping your subject lines concise, you eliminate this possibility.
  • Ensure your subject line clearly explains what readers can expect upon opening the email. The more guesswork your subject line demands of readers, the less likely they are to open your email.
  • Steer clear of using words that might be considered spammy. With email filters becoming more and more sophisticated, usage of any sort of contentious term in your subject line will result in ISPs flagging your email as spam.
  • Personalize your subject line. In a climate of increasingly crowded email boxes, personalization is one technique you simply can’t afford to overlook.

Besides fine-tuning your subject line, you also need to pay attention to your pre-header text. Building upon the context provided by your subject line, pre-header texts give readers an additional nudge to open their emails. Two crucial things that you must keep in mind while curating your pre-header texts are:

  1. It must exist only as an extension of your subject line; it must not try to introduce any new ideas on its own.
  2. It must be mobile-optimized.

Broken Links

Given that the links embedded in your email eventually facilitate a conversion, it is imperative that you thoroughly evaluate their health prior to delivering your emails. Broken links aren’t just bad for business; they also spoil a subscriber’s user experience.

Here are a few things you must check after embedding a link in your email:

  • This might sound trivial, but do check if the link you have inserted is the one you intended to or not; the only thing perhaps worse than having a broken link is having an irrelevant one.
  • Check that the link is redirecting the user to the desirable destination.
  • If the download of a resource is supposed to be triggered by clicking the link, check if that’s functioning properly; you wouldn’t want subscribers clicking umpteen times on your link only for it to return nothing.

Accessibility

Apart from acing your content and design, you must also work towards making your email campaigns accessible; people making use of assistive technologies must be able to engage with and comprehend your emails in an absolutely hassle-free manner.

Given below are a few measures that will help you make your campaigns accessible to all:

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  • Organize your email content. Break down long paragraphs into small sections of 2-3 lines. Use bullets and subheadings wherever necessary. This will make it easy for assistive technologies such as screen readers to parse through your content.
  • Write descriptive alt texts for the images you’re including. Besides improving accessibility, alt texts also enable search engines to crawl your page more efficiently, thereby boosting your SEO.
  • Use semantic markup; this will help screen readers navigate your emails in a smooth fashion.
  • Try to stick to a single-column layout while designing your email template.

This email from AllTrails is an ideal example of an accessible template.

Inbox Preview

Different email clients render emails differently, even if only slightly. Hence, before sending out your emails, you must preview them across different environments and clients to check if they appear as desired. If you are designing your email for dark mode, too, it becomes that much more important to preview it before delivering.

Wrapping It Up

For your email campaigns to be able to drive maximum impact, they must be free of blemishes of all kinds. We hope the pre-flight checklist we shared above proves to be of help to you when you sit down to create your next campaign.

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