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What is a customer data platform (CDP) and why do marketers need one?

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What is a customer data platform (CDP) and why do marketers need one?

A customer data platform, usually called a CDP, is a marketer-managed system designed to collect customer data from all sources, normalize it and build unique, unified profiles of each individual customer. The result is a persistent, unified customer database that shares data with other marketing technology systems.

The idea of a single view of the customer has been on marketers’ wish lists for years. But disruption caused by the global COVID-19 pandemic has raised interest in precisely the types of solutions that CDPs deliver, which includes that single-view of the customer. With pandemic concerns spurring the movement of customer interactions – both B2B and B2C – to digital channels, marketers are increasingly interested in technologies that collect data from those interactions, unify them, deliver insights and enable campaign orchestration.

CDPs enable marketers to create a single view of the customer by gathering data from software deployed
throughout the organization. High expectations, along with the proliferation of possible customer touchpoints, make cross-device IDs and identity resolution — the ability to consolidate and normalize disparate sets of data collected across multiple touchpoints into an individual profile that represents the customer or prospect — critical for helping marketers, sales and service professionals deliver the ideal total customer experience. CDPs offer this consolidation and normalization and also make the data profiles freely available to other systems that deliver campaigns, webpages and other interactions.



What is a customer data platform (CDPs)?

As the marketer appetite for CDPs has grown, existing companies with various backgrounds — from tag management to analytics to data management — have seen the opportunity and refashioned themselves in the CDP mold. Meanwhile, others have started up with the CDP category in mind from the start, and some well-established players have responded to market pressure and developed a CDP capability.

A CDP is not a CRM, DMP or marketing automation platform. A CDP provides a unified, persistent customer database that provides data transparency and granularity at the known, individual level. A CDP can identify customers from many different data sources by stitching together information under a unique, individual identifier. The CDP then stores its own copy of the data.

CDPs also give marketers control over customer data collection, segmentation and orchestration through native (out-of-the-box) integration that minimizes the need for IT or developer involvement. And lastly, CDPs offers data integration of both known and anonymous customer data with any external source or platform, including CRM, point of sale (POS), mobile, transactional, website, email and marketing automation.

We support the CDP Institute’s definition of a “RealCDP,” which requires it be able to do the following five things:

  • Ingest data from any source.
  • Capture full detail of ingested data.
  • Store ingested data indefinitely (subject to privacy constraints).
  • Create unified profiles of identified individuals.
  • Share data with any system that needs it.

Virtually all of the CDP vendors that meet that criteria provide the following core capabilities:

  • Data management (collect, normalize and unify customer data in a persistent database),
    often after IDs have been matched by other systems.
  • Features designed for use by the marketing organization and other departments, without the
    aid of IT or data science resources. (Though some functions, like building connections to other
    platforms and performing sophisticated data modeling, still require additional resources.)
  • Connections to and from all external systems on a vendor-neutral basis.
  • Structured and unstructured data management.
  • Online and offline data management.

CDP vendors differentiate by offering more advanced capabilities that include, but are not limited to, the following:

  • Native identity resolution to stitch customer data snippets from disparate sources.
  • The number and breadth of robust pre-built connectors to other martech systems. The near-universal availability of APIs means connections are always possible (with more or less developer involvement), but offering pre-built, tested integrations adds value.
  • User interface (UI). The vendors differ in the user-friendliness of their interfaces and the methods people use to do things like create segments, view profiles, etc.
  • Analytics, including those powered by machine learning and artificial intelligence, that surface insights, enable journey mapping, audience segmentation and predictive modeling.
  • Orchestration for personalized messaging, dynamic interactions and product/content recommendations.
  • Compliance with vertical industry and international data regulations.

Now, let’s look at the key considerations involved in choosing a CDP.

Customer data management

Data collection and maintenance is a core CDP customer data management platform function. All CDPs provide a central database that collects and integrates personally identifiable customer data across the enterprise.cFrom there, however, CDPs vary in their abilities to manage the following:

  • Data ingestion capabilities: CDPs use various mechanisms to ingest the data that goes into the unified customer profile — mobile SDKs, APIs, Webhooks or built-in connectors to other platforms. Identity resolution: The platform “stitches” together customer data points, such as email addresses, phone numbers, first-party cookies and purchase data, from various channels matching them to create a single customer profile.
  • Identity resolution: The platform “stitches” together customer data points, such as email addresses, phone numbers, first-party cookies and purchase data, from various channels matching them to create a single customer profile. Some players partner with other providers for this capability, while others have their own systems.
  • Online/offline data: The platform leverages identity resolution or an identity graph to stitch together behaviors in order to create a unified profile.
  • Data hygiene: The platform enables users to clean and standardize customer records.
  • Structured/unstructured data: CDPs differ in their capabilities to manage unstructured data (i.e., social media feeds, product photos, barcodes), which may comprise up to 80% of all data by 2025, according to IDG.

The importance of each of these data management capabilities will depend on a particular organization’s business goals, and whether it has a significant mobile presence, direct mail budget or brick-and-mortar stores and/or agents.

Analytics

CDP vendors offer data analytics capabilities that can do some or all of the following: allow marketing end-users to define and create customer segments, track customers across channels and glean insights into customer interest and intent from customer behavior and trends.

The functionality provided can include predictive models, revenue attribution and journey mapping. To one extent or another, many of these capabilities may utilize machine learning or artificial intelligence to surface insights about audiences and proactively offer suggestions about the best next step to move a prospect through their purchase journey.

Orchestration

A select group of CDPs provide campaign management and customer journey orchestration features that enable personalized messaging, dynamic web and email content recommendations, as well as campaigns that trigger targeted ads across multiple channels.

The customer data platform often automates the distribution of marketer-created customer segments on a user-defined schedule to external martech systems such as marketing automation platforms, email service providers (ESPs), or web content management systems for campaign execution.

For example, the CDP could deliver targeted content to a web visitor during a live interaction. To do this, the CDP must accept input about visitor behavior from the customer-facing system, find the customer profile within its database, select the appropriate content and send the results back to the customer-facing system. A customer data platform may also facilitate digital advertising through an audience API that sends customer lists from the CDP to systems (i.e., DMP, DSP, ad exchange) that will use them as advertising audiences.

Data regulation compliance

CDP vendors vary in the support they provide for compliance with the wide range of vertical market and international regulations that safeguard customer data privacy. Some build compliance features into their platforms, while others rely on outside systems. The European Union’s GDPR was implemented in May 2018 and impacts all U.S. marketers and data firms handling European data or serving customers in the EU. Brands marketing to Canadian consumers through email must also comply with the country’s CASL (Canada Anti-Spam
Legislation). Meanwhile, the California Consumer Privacy Act (CCPA) went into effect in January of 2020.

Marketers in the highly regulated healthcare market must follow HIPAA and HITECH regulations. In addition, all organizations that accept, process, store or transmit credit card information must maintain a secure environment that meets Payment Card Industry Data Security Standards (PCI DSS), as well.

Third-party systems integration

CDPs streamline integration of customer data by providing out-of-the-box (or native) connectors for many martech systems, including CRMs, DMPs, marketing automation platforms, DSPs, and campaign analytics and testing tools. Most marketing organizations have assembled a marketing stack that contains many of these types of platforms. But integrating the data that resides in the martech ecosystem is a huge challenge — one that costs U.S. brands millions of dollars annually. The majority of CDPs profiled in this report also provide at least a basic API to enable custom integrations.


What is a customer data platform CDP and why do

Explore platform capabilities from vendors like Blueconic, Tealium, Treasure Data and more in the full MarTech Intelligence Report on customer data platforms.

Click here to download!


What are the benefits of using a CDP?

Marketing executives today are in charge of dozens of martech applications to manage, analyze and act on a growing volume of first-party customer data. But despite increasing efficiency, the emerging martech ecosystem has created problems with data redundancy, accuracy and integration.

Automating customer data accuracy and integration through a CDP can provide numerous benefits to marketers and to other functions across the enterprise.

These include the following:

Expanded enterprise collaboration. A CDP fosters cooperation among siloed groups because it gathers data from throughout the enterprise and supports customer interactions across many touchpoints. The unification of data allows enterprises to see how strategies for audience, customer experience and execution all fit together – and enables audience portability to ensure a more consistent, informed customer experience.

Improved data accessibility. A CDP is a centralized hub that collects and houses customer data from every corner of the enterprise. Pieces of data are normalized and stitched together to build unique, unified profiles of each individual customer. The result is a persistent customer database whose main purpose is to gather and share data more easily and efficiently across the organization

Streamlined systems integration. A CDP unifies data systems across the enterprise, from marketing and customer service, to call centers and payment systems. By creating a single “system of record” for first-party customer data, data redundancies and errors can be minimized, and data can flow more quickly into — and out of — marketing automation platforms, email service providers (ESPs), CRMs and other martech systems.

Increased marketing efficiency. A CDP unifies individual data with unique IDs that create more robust customer records. Many manual tasks are also automated by the CDP, allowing marketers to focus on the creative and analytical tasks they are trained for. The result is more accurate modeling, targeting and personalization in marketing campaigns, and more relevant customer experiences with the brand across channels.

Faster marketing velocity. In many cases, CDPs are “owned” by marketing, minimizing the need for IT or developer intervention to collect, analyze and act upon data. With control in marketers’ hands, the time to segment and build audiences, execute campaigns and analyze results significantly decreases. That said, engineers may still be needed to perform deep data analysis and facilitate integrations. This is especially true as CDPs extend beyond marketing and into sales and service functions.

Stronger regulatory compliance. A CDP creates greater internal control over customer data, streamlining data governance to comply with the many regulations now impacting brands worldwide. Marketers in the healthcare industry must comply with both HIPAA and HITECH regulations. Businesses that handle European data or serve customers in the EU must also comply with GDPR and those dealing with Californians must deal with CCPA
(California Consumer Privacy Act). The majority of CDP vendors are both ISO and SOC certified for best practices in handling personally identifiable information (PII).


About The Author

1641869137 309 Does your marketing team need an SEO platform

Pamela Parker is Research Director at Third Door Media’s Content Studio, where she produces MarTech Intelligence Reports and other in-depth content for digital marketers in conjunction with Search Engine Land and MarTech. Prior to taking on this role at TDM, she served as Content Manager, Senior Editor and Executive Features Editor. Parker is a well-respected authority on digital marketing, having reported and written on the subject since its beginning. She’s a former managing editor of ClickZ and has also worked on the business side helping independent publishers monetize their sites at Federated Media Publishing. Parker earned a master’s degree in journalism from Columbia University.


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How to Schedule Ad Customizers for Google RSAs [2024]

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How to Schedule Ad Customizers for Google RSAs [2024]

It’s no wonder that responsive search ads have steadily grown in popularity in recent years. Through Google’s machine learning capabilities, RSAs provide a powerful way to automate the testing of multiple headlines and descriptions to ensure a closer match to user intent. The benefits are clear: RSAs mean broader reach, better engagement, and improved performance metrics.

However, all these benefits come at a significant (but reasonable) cost – they can be extremely difficult to manage, especially when it comes to updating ad copy to promote limited time offers.

I know this firsthand – I work with several ecommerce clients with promotions that constantly change. Not too long ago, I found myself going through the consistently tedious process of updating a client’s RSA headlines and copy. As I was making the changes, I thought to myself: “There must be a better way to update this ad copy. I shouldn’t have to use find and replace so many times while pausing and enabling my ad campaigns.”

After expressing this to my colleague, Jordan Stambaugh, the two of us agreed there must be a better way. But we’d have to make it happen. A few weeks later, we put that idea into action and created a more efficient process for updating RSA ad copy on a scheduled basis. If you want to try this process for yourself, just keep reading.

Responsive Search Ad Customizers 101: Basic Options & Execution

Before diving into the process of scheduling automatic updates for your RSA customizers, it’s essential to understand some key Responsive Search Ad fundamentals.

First, you can customize three main options within RSAs: the Attribute Name, the Data Type, and the Account Value. Each of these plays a vital role in personalizing your ads:

  • Attribute Name: This is essentially the identifier for the customizer. It is how you’ll reference the specific piece of information you’re customizing within the ad. For instance, if you’re running a promotion, you might name an attribute “Promotion.”
  • Data Type: This indicates the kind of data the attribute represents and it determines how the information can be formatted and used within the ad. Common data types include Text (for plain, non-numeric text), Percent (to represent percentage discounts), Price (to denote monetary values), and Number (for any numerical value).
  • Account Value: This is the default value for the attribute that you set at the account level. It acts as a fallback if more specific values aren’t provided at the campaign or ad group level.

For example, if you wanted to promote a 10% off discount using RSAs, you’d use the “Discount” attribute, a data type of “Percent,” and an account value of “10% off.” Then, when someone is searching for products, Google would test automatically inserting a copy regarding a 10% off promotion into your ad.

Once you’ve set up the right customization options, you can start to format your RSAs with customizers.

Here’s how:

  • Start by typing in {
  • Click on Ad Customizer then select your attribute
  • Google will populate your attributes that are already uploaded
  • For a simple offer, use the “Default text” attribute as a catch-all. This will ensure your ads run smoothly if Google can’t pull the right messaging from your RSA feed

 

 

How to Schedule Your Ad Customizers with a Feed

Now that we’ve covered the basics, let’s cover how to schedule your ad customizers.

Just follow this three step process:

1. Create the feed

Start by creating two sheets: The Parent sheet, and the Child sheet. The “Parent” sheet will act as the primary data source, while the child sheet will pull data from the parent sheet.

We’ll start by building the parent sheet. After opening the sheet, start by renaming the active tab to “Promotions.” Don’t skip this step, it’s crucial for referencing this range in formulas later on.

In your “Promotions” tab, head to the top row and label columns A, B, and C with the headers of your ad customizer attributes. For example, you might have “BrandSaleHeadline” as your attribute in column A, “text” as the Data Type in column B, and “Shop the Collection” as the Account Value in column C.

Once your headers are in place, move to cell C2. Here, you’ll input the expression =lookup(today(),F:G,E:E). This formula will play a key role in dynamically updating your RSA customizer based on the current date.

Next, go to columns E, F, and G, which will be used to manage your scheduling. In these columns, you’ll list out the different values your chosen attribute might take, alongside their corresponding start and end dates. For example, under the “BrandSaleHeadline” attribute, you might schedule various promotional headlines to appear during different sale periods throughout the year.

Here’s how your sheet might look:

Now look back at the first 3 columns on your sheet. They should look like this:

Now create a second sheet. We’ll call this sheet the Child sheet. It’s going to automatically pull in data from the parent sheet you just created, and will be the one you link to Google Ads later on.

Columns A, B and C will be almost identical to the child sheet, but we will be using a special formula later so we can automatically populate this. So, start by labeling Row 1 Column A “Attribute,” then the next column as “Data type,” then column C as “Account value.” 

Then go to C2 and use this expression to populate the right account value from the parent document: =importrange(“[PARENT DOCUMENT URL HERE]”,”Promotions!C2″)

Your sheet should now look like this:

We recommend adding a date range with default text for any days you’re  not running a promotion. In the example above, we have “Shop Our Collection” appearing as default text.

2. Input attributes

Once you have your feed created, the next step involves inputting your attributes into the Google Ads platform. This can be done either manually or through a bulk upload.

For the manual approach, navigate to “Tools & Settings” in your Google Ads interface, then go to ‘Setup’ followed by “Business Data.” Here, you’ll find an option for “Ad Customizer Attributes.” Click the plus sign to add your attributes. It’s crucial to use the same attribute names that you’ve established in your Parent Google Sheet template to ensure consistency and proper data synchronization.

 

 

Alternatively, if you prefer the bulk upload method, again head to “Tools & Settings.” This time, select “Bulk Actions” and then “Uploads.” For this process, you only need to upload columns A to C from your template. 

Be aware that it might take some time for your uploaded attributes to be reflected in the business data section of Google Ads.

3. Set up an automatic schedule

At this point, you’ve almost finished scheduling your ad customizers. Navigate to Tools & Settings, then Bulk Actions, then Uploads, then click the Schedules tab at the top. Select your Child Google Sheet as the data source, and share your Google Sheet with the appropriate email.

 

 

And there you have it – Google will automatically pull in the data you populated in the sheets into your RSAs.

Common Challenges When Scheduling RSA Ad Customizers

When we test these sheets with our clients in the wild, we’ve uncovered five common challenges. Be on the lookout for these issues – solving them before they happen can save you a lot of trouble down the line.

Not scheduling your upload when the site changes 

The first and most significant hurdle is the mismatch between the scheduled data upload and website content updates. For instance, if the Google Sheet is set to upload at 11 am, but the website changes occur at 3 pm, there’s going to be a discrepancy where the wrong message could be displayed for several hours, or new messaging could appear prematurely. Conversely, if the website updates happen before the scheduled sheet upload, outdated promotions might linger until the new data is imported. Synchronizing these schedules is crucial; it’s best to align them so updates occur simultaneously.

Skipping QA during a message change

Another pitfall is neglecting quality assurance (QA) during message updates. It’s vital to regularly check the business data section to verify that the correct values are in place post-update.

Issues with the IMPORTRANGE function

Then there’s the technical aspect of setting up the IMPORTRANGE function correctly in the Google Sheets template. The ‘child’ template must reliably pull data from the ‘parent’ sheet. If this function isn’t configured correctly, data won’t be imported as needed.

Not sharing access of the Google template for automatic uploads

Pay attention to your access permissions for the Google Sheets template. Google will prompt you with the email address that needs permission to access the ‘child’ sheet for automatic uploads. Overlooking the sharing of your sheet with this address will prevent the system from working.

Having date range gaps in your parent sheet

Lastly, a common oversight is leaving date range gaps in the ‘parent’ sheet. Every single date must be accounted for without overlaps. A practical tip is to have an ‘evergreen’ backup message ready, scheduled to run continuously, ideally through the end of the year, to cover any potential gaps.

Conclusion

Leveraging Google Sheets in conjunction with Google Ads to schedule RSA ad customizers is a game-changer for managing dynamic promotional content. This process not only streamlines your workflows but also ensures that your ads remain relevant and up-to-date, reflecting current promotions without the need for constant manual intervention. 

By adopting this method, you’ll save significant time and effort, allowing you to focus more on strategy and less on the minutiae of ad copy updates. Give it a try and experience a more efficient way to manage your RSAs, keeping your campaigns fresh and engaging with minimal hassle.

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10 Advanced Tips for Crafting Engaging Social Content Strategies

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10 Advanced Tips for Crafting Engaging Social Content Strategies

In 2023, there are a total of 4.89 billion social media users worldwide. One of the many reasons you should build your brand’s presence on social media is to capture a slice of this pie.

So, if you’re a marketer wanting to crush it online — this is your time to take action. The social presence of billions of users shows great potential to connect, engage, and build lasting relationships with your target audience.

The real power lies not just in being active on social media networks but in planning social media goals in advance and crafting engaging social media content strategies that make a meaningful impact.

And creating one isn’t as easy as it sounds. It requires a thoughtful approach that goes beyond the basics.

To help you accomplish your social media goals, we’ll cover ten advanced tips that you can use to craft an engaging social media content strategy.

1. Conduct A/B Testing

A/B testing allows you to optimize your social media marketing strategy based on insights and social media metrics.

Experiment with different content formats, headlines, captions, and visuals to see which format performs better.

You can also try different content styles and focus on visual content, which is 40x more likely to be shared on social media.

Example: Test two different headlines for a product announcement social post and use the one that users engaged with and shared more. You’ll need to track social metrics like reactions, shares, and new followers during your test.

2. Personalize your content

Before creating a social media marketing plan or content calendar, segment your audience based on demographics, behaviors, and interests.

Craft tailored messages for each segment and find social media content ideas for that target audience.

And to encourage them to engage with you, publish funny content. 80% of marketers say that funny content is the most effective form of social media posts.

Example: Tap into Instagram retargeting ads to promote personalized product recommendations to customers based on their past purchase history.

3. Embrace User-Generated Content (UGC)

User-generated content is a powerful way to build trust, gather a sense of community, and increase engagement rates.

Encourage users to share their experiences and stories about your brand.

Plan a posting schedule using social media tools, highlight, and feature UGC in your content, and give credit to the creators to showcase the authenticity.

Then, create a dedicated UGC marketing campaign.

Example: Invite customers to share photos of themselves using your product with a branded hashtag. Comment on and share these photos on your company’s social media (with permission, of course), thanking the participants for joining in on the fun.

4. Incorporate influencer collaboration

Partner with influencers in your industry who have high engagement rates. 67% of marketers agree they prefer working with micro-influencers with 10k-100k followers or subscribers.

Collaborating with influencers allows you to tap into their social networks and leverage their credibility to boost engagement.

Use social media management tools to co-create content, host giveaways, or collaborate on campaigns aligning with your brand and the influencers’ style to extend your reach and gain engagement.

If your target audience is Gen Z, you can prefer Instagram Reels for influencer marketing.

For context, look at the stats below:

1701077164 213 10 Advanced Tips for Crafting Engaging Social Content Strategies

Example: Partner with a fitness influencer to promote your health supplements through workout videos.

5. Use interactive elements

To accomplish your social media marketing goals, you can engage people to interact with your brand via polls, quizzes, and surveys. Encourage them to participate and share the results.

Incorporating interactive elements into your social media marketing strategy will spark active participation between your social media team and audience, making them more likely to engage and share opinions.

Example: Host a poll on X (formerly Twitter) to let your audience choose the next product feature you’ll develop or the types of content they’d like to see.

6. Leverage user reviews and testimonials

Showcase user reviews and testimonials as part of your content strategy. Highlight positive feedback and make improvements by taking accountability for negative feedback.

Incorporate these testimonials into your social media strategies to create dedicated reviews or testimonial videos. Sharing this social proof helps build trust and credibility with your audience.

Example: Feature video social proof of a satisfied customer explaining how your software improved their business.

7. Create long-form content

While social media platforms are mostly known for short-form content, they’re switching gears to focus on long-form content.

It’s great, especially if your business receives great engagement on X (formerly Twitter).

“Long-form posts on the microblogging platform are now at 3 billion views per day and rising.”, said Elon Musk, the owner of X.

“This is roughly on par with all newspaper articles views on Earth,” he continued.

1701077165 831 10 Advanced Tips for Crafting Engaging Social Content Strategies

Educational content and case studies tend to work great on LinkedIn. Additionally, blog posts can also help you establish your brand as an authority in your industry.

Publishing compelling content is a great way to increase engagement and shares. You can also repurpose educational content on multiple sites and tailor it to each platform for the best results.

Example: Publish content about challenges and opportunities your company faced and how it helped you increase return on investment.

8. Collaborate with other brands

Collaborate with complementary brands or businesses for promotional content.

As part of your digital marketing strategy, come up with mutually beneficial collaboration ideas that can help you both increase reach and tap into ideal customers.

Joint campaigns, cross-promotions, or co-sponsored events are great ways to use the power of collaboration.

Example: Team up with a travel agency to promote your hotel and their vacation packages through a joint social media campaign.

9. Emphasize customer service

Social channels aren’t just a source for publishing content but also for providing excellent customer service.

Marketers these days actively invest in building social media communities to better connect and interact with potential customers.

Respond promptly to inquiries, comments, and feedback from your audience. Show them you genuinely care about them by addressing their concerns and providing helpful solutions.

This level of engagement can build customer loyalty and community building.

Example: Respond to customers’ support requests on social accounts and resolve their issues within a few hours.

10. Monitor trends and stay updated

Stay updated with social media trends, algorithm changes, and content formats. Track performances, content audits, and social media KPIs.

Experiment with new features or types of content introduced by social media channels.

Plan your social media content calendar based on engagement metrics. Keep an eye on what your competitors are doing and identify strategies that work well in your industry.

Out of all content types, short-form videos are taking the spotlight. Research states that 64% of shoppers ended up making a purchase after seeing branded video content on social platforms.

Example: If video content is becoming popular on social platforms, create your social media content strategy around it.

You might also consider incorporating data storytelling into your strategy. Why? More brands are moving towards storytelling in their social media posts.

This helps reach larger audiences and accomplish business goals. If you haven’t thought about it, give it a thought. The early bird catches the worm.

Final Words

And there you have it — ten advanced tips to level up your social media marketing strategy.

Test the waters with new features on social channels and plan your content marketing strategy accordingly.

With consistency and some creativity, you can increase your brand awareness and establish a strong foothold in the vast sea of social media.

Are you ready to boost your social media presence and accomplish all your business goals? Here’s to your success!

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3 Questions About AI in Content: What? So What? Now What?

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3 Questions About AI in Content: What? So What? Now What?

In the United States, Thanksgiving will give us the needed break to take a collective breath.

I don’t know about you, but getting my bearings around the disruptions of generative AI presents an extreme challenge. Innovations come so quickly that once we think we have our arms around it, something new appears.

Almost one year into seeing what generative AI can do for content creation and marketing strategies, OpenAI has introduced custom GPTs for those who pay for access.

You can build custom ChatGPT applications to use the tool’s newest capabilities to do things specifically valuable to you. For example, your company could upload 10 years of blog articles and instruct the custom GPT to use the knowledge gained from the content to formulate answers to questions on the blogs’ topics. In theory, you get the depth and breadth of ChatGPT’s large language learning model focused on your knowledge base and able to take specific actions, such as sending an email or automating a task.

Impressive. But sheesh. What does that do to your plans to integrate tools into your marketing workflow? It seems like one of a hundred things that you’re supposed to pay attention to right now.

Time to reflect

If your time frees up this week either because of the holiday or because the Americans are on holiday, take a moment and reflect on these disruptions to your current marketing and content efforts.

A little more than 20 years ago, a nursing professor at Swansea University published a helpful framework for self-reflection and communication. His exercise has helped me in times of disruption, and perhaps it can be for you as well.

Answer a few questions that fall into three stages – what, so what, and now what?

  • What? Describe what has happened simply and objectively – without judgment or interpretation. Some helpful prompts: What happened? What did you observe? What events occurred? What is the current situation?
  • So what? Answer questions about what you know now that you didn’t know. You can introduce emotions. Some helpful prompts: What did you learn? What difference have the events made? Answer as yourself or within the context of your team or company.

    If it’s just you, potential questions could be: Did what happened clarify an interest? Did you hear or feel anything that surprised you? How is your experience different than what you expected? What do these events mean to you?

    If you answer on behalf of a team or group, you can ask the self-questions along with these prompts: What do these events suggest to you about this group? How might the group work better or worse with these events? How were decisions made or not made based on these events?

  • Now what? Reflect on your future actions based on the first two steps. These broader implications react to what happened. Questions center on defining and looking at the root cause: What would contribute to a successful response? What would be in the way of successfully navigating through this? What learning has now occurred, and how can I/we apply this learning?    

Ask your team to do this same exercise. When you meet back up, create a workshop or team gathering where you discuss the answers and determine where opportunities may exist.

Real reflections aren’t hot takes

If you find yourself thinking that process is basic, well, you’re right. These three questions – and the provocations that come from them – mirror a progression you’ve all tried to work through a problem. However, you don’t often do it for big disruptions in the moment. It’s just too easy to jump to the third step, “now what,” and confuse it with “what’s next.” You get overwhelmed by all the actions you can take.

You can see this challenge happening with the disruption of generative AI.

Check out this article that reflects on the disruption of generative AI in the video game industry. To make the case, it leverages Bain & Company research that “more than half of video game development process will be supported by generative AI within the next five to 10 years.” It uses “what happened” to make a case for “what’s next.” The author didn’t even bother to ask “so what” to reach the conclusion: “Microsoft wants AI to solve problems that game makers say they won’t actually have.”

If you reflect on what the Bain research actually said, you can see it’s almost the opposite of the Microsoft conclusion. The research plainly says few executives believe AI will reduce development costs. They say AI will not significantly impact talent and “do not believe it will replace the creative spark necessary for game development.”

By misinterpreting what happened and not asking, “So what,” the author jumped to predicting what’s next, which is almost useless to make any productive change to address what’s really happening.    

This is why working through this process is helpful.

Now, to be clear, hot takes are fun. I’m not suggesting you do away with predictions or the occasional response. Hot takes are a great way to start the conversation, not to finish them.

Take the time – and the process – to work it out. It’s not perfect. It’s also not meant to be a fail-safe way to predict the future. The three-question stages are meant to help you balance facts and feelings to make more productive and satisfying responses to the disruptions you face.

The process is meant to change your future, not by helping you see it more clearly but by helping you clearly see how you change it.

It’s your story. Have a wonderful, reflective Thanksgiving, and tell it well.

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Cover image by Joseph Kalinowski/Content Marketing Institute

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