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What is identity resolution and how are platforms adapting to privacy changes?

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What is identity resolution and how are platforms adapting to privacy changes?

Identity resolution – the science of connecting the growing volume of consumer identifiers to one individual as he or she interacts across channels and devices – has become critical to marketing success, as well as essential for compliance with consumer privacy laws such as the California Consumer Privacy Act (CCPA) and the European Union’s General Data Protection Regulation (GDPR).

Central to that are identity resolution platforms, which is software that integrates consumer identifiers across channels and devices in a way that is accurate, scalable and privacy compliant to create a persistent and addressable individual profile. Identity resolution platforms enable marketers to “close the loop” of customer marketing, analytics and compliance with a comprehensive holistic view of activity across all of an organization’s customer touchpoints and channels. Such identifiers can and should encompass both online (device, email, cookie or mobile ad ID) and offline (name, address, phone number) data signals and attributes.



Why do marketers need identity resolution platforms?

Consumer adoption of connected speakers, home automation solutions, smart TVs and wearables continues to rise exponentially. The number of devices connected to IP networks is projected to climb to more than three times the global population by 2023, with 3.6 networked devices per capita, according to the Cisco Annual Internet Report, 2018-2023.

In this competitive environment, it is essential that brand marketers understand which online devices and offline behaviors belong to a consumer as well as who that consumer is. Every time a consumer interacts with the brand – regardless of channel – a different identifier (also called a key) can be attributed to that individual. These identifiers can include an email, IP or physical address, as well as a mobile phone number, digital tag or cookie.

However, accurately resolving consumer identities has proved challenging for a majority of brand marketers. Forrester found that a majority of C-level executives overrate their marketing organization’s customer identity accuracy and persistence.

That challenge promises to become even more difficult as tech companies make changes that essentially deprecate third-party cookies — one of the key identifiers that has been used to stitch identity data together. Google has announced plans to phase out third-party cookies in its Chrome browser in late-2023. Apple has similar plans for IDFA, its identifier for advertisers, requiring users to opt into the program. At this point, only 20% of iOS users have opted to enable it, further highlighting consumer preferences for privacy.


What is identity resolution and how are platforms adapting to

Identity resolution is not only critical to marketing success but is essential for compliance with consumer privacy laws such as CCPA and GDPR. Explore the platforms essential to identity resolution in the latest edition of this MarTech Intelligence Report.

Click here to download!


What identity resolution platforms do

Identity resolution platforms support marketing processes around targeting, measurement and personalization for both known and anonymous audiences across digital and offline channels. And most enterprise identity resolution platform vendors offer the following core features and capabilities:

  • Data onboarding (including online/offline matching).
  • Proprietary identity graph.
  • Client ownership of first-party data.
  • Persistent individual and/or household ID.
  • Compliance with privacy regulations.
  • APIs for third-party system integration.

Vendors begin to differentiate their platforms by offering more advanced features, sometimes requiring additional investment, which include – but are not limited to – the following:

  • Match confidence scoring.
  • Data clean rooms.
  • Private (first-party) and/or second-party cooperative identity graphs.
  • Pre-built connections to martech/ad tech platforms.

Let’s look deeper at these platform capabilities.

Data onboarding

Data onboarding is the first step in the identity resolution process. Client data is typically onboarded via secure file transfer (SFTP), although several vendors also provide direct API transfer or pixel syncs. Data is processed with the goal of establishing a universal view of the customer and includes the following:

  • Matching individual identifiers in the identity graph (see below) to associate the customer with their interactions across touchpoints, particularly online to offline.
  • Suppressing unresolved IDs and interaction data for potential future use.
  • Hashing or tokenizing personally identifiable information (PII) with an anonymized customer ID.
  • Linking matched IDs to a universal ID representing the customer profile and all of its associated attributes.
  • Validating the accuracy of matches to a pre-established “truth set” of referential data known to be precise and accurate.

Most vendors provide persistent customer IDs during the identity resolution process, which means the ID follows the individual (or household) even as identifiers change, which they inevitably do. For example, when browser cookies expire or are deleted or customers buy and use new devices, the customer ID will remain the same. Persistence is also critical to enabling temporal time-series analytics, such as churn analytics. Matching algorithms differ among vendors, with matches established via probabilistic or deterministic methods or a combination of both. Deterministic matching relies on explicit links between identifiers, such as an email address that is used to sign in to a website or mobile app and can be associated with the resulting cookie or mobile ad ID (MAID). Probabilistic matching relies on implicit links between identifiers, such as a desktop cookie and MAID both associated with a residential IP address. The goal is to consider multiple signals like location and browsing history.

Both approaches have their pros and cons, which should be considered when choosing an identity resolution platform. Deterministic matching takes an omnichannel view that attempts to connect identifiers across digital and offline interactions. It can be difficult to scale and prone to inaccuracy. Probabilistic matching can “weed out” inaccurate data because it looks at a variety of data points versus binary matches. Its drawback is that it is limited to online touchpoints. Some vendors are using hybrid identity resolution approaches, which try to compensate for deterministic and probabilistic weaknesses while capitalizing on their advantages. It uses deterministic and probabilistic linkages, and then merges the two linkage sets together to form new, combined clusters.

Many vendors provide their overall match rates to potential clients. A few vendors go a step further, providing clients with customizable match algorithms or confidence scores (how likely the matches are accurate) based on their specific first-party customer data and data quality profiles. For example, a pure online organization may rarely use postal addresses and is likely to have lower-quality address data than an organization that relies on fulfillment to a physical shipping address. Addressability is another factor that can help marketers measure their match accuracy by assessing the number of consumers that can actually be contacted.

Identity graph

Most identity resolution vendors maintain a proprietary identity graph or database that houses all the known identifiers that correlate with individual consumers. There is no standard model for an identity graph. Each vendor differs in the types of foundational PII used, the matching methods employed and the non-PII integrated to enrich the individual profiles. Across the buyer’s journey, many identifiers can be associated with an individual, including email addresses, physical addresses, landline and mobile phone numbers, mobile ad and device IDs, account usernames and loyalty numbers. The identity graph collects these identifiers and links them to customer profiles, which are used to target and personalize marketing messages.

Identity graphs may also incorporate demographic, behavioral, financial, lifestyle, purchase and other data compiled or licensed from third-party sources, such as online news sites, purchase transactions, surveys, email service providers (ESPs), motor vehicle records, voter registration and other public records. Having all of this customer device, channel and behavioral data in one place allows brand marketers to more accurately measure the reach and frequency of their campaigns, and analyze how different ads and marketing tactics perform across channels.

In response to the dwindling availability of third-party cookie data and the increasing use of consumer privacy tools, such as advertising and location blocking apps, several identity resolution platform vendors are offering new identity graphs built on first-party or second-party datasets. First-party identity graphs are exclusively used by a brand to house and match known customer data. Second-party identity graphs use cooperative data-sharing agreements between multiple brands or publishers to create common, anonymized identity assets.

Participating organizations can build, plan, activate and measure custom audience pools to either target or suppress customers across addressable media.

Privacy compliance and data ownership

Marketers with customers in the European Union have had to comply with GDPR since May 2018. The CCPA, impacting all brands with customers residing in California, went into effect in January 2020, and empowers consumers to make a Subject Access Request to see all the data an organization has about them, which raises the stakes of identity resolution match accuracy. CCPA defines personal information as anything that can be associated or linked with an individual or household.

Marketers in the highly regulated healthcare market must follow Health Insurance Portability and Accountability Act (HIPAA) and Health Information Technology for Economic and Clinical Health Act (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.

These regulations are driving an expanded industry focus on data transparency and consumer consent, with a view toward complying with new standards for the benefit of consumers, as well as marketers. Many identity resolution platform vendors adhere to advertising industry guidelines from the Digital Advertising Alliance (DAA) or Interactive Advertising Bureau (IAB).

Lastly, and importantly, the majority of vendors profiled generally allow enterprise brands to retain ownership of their first-party data.

Third-party software integration

The ultimate marketing goal for identity resolution is to support and enable data activation by pushing segmented audiences into highly personalized campaigns through a variety of martech (CRMs, DMPs, marketing automation platforms, ESPs, etc.) and ad tech (DSPs, SSPs, ad exchanges, etc.) tools and platforms. Identity resolution platforms should be able to streamline integration with the client’s martech and ad tech ecosystems by providing pre-built (or native) connections and an extensive set of APIs for custom integrations. Access to these APIs may or may not be included in base pricing.


What is identity resolution and how are platforms adapting toWhat is identity resolution and how are platforms adapting to

Explore platform capabilities from vendors like Acxiom, Experian, Infutor, Merkle and more in the full MarTech Intelligence Report on identity resolution platforms.

Click here to download!


The benefits of using identity resolution platforms

Connecting consumer identifiers has become a mandate for enterprise marketers trying to meet and exceed customer expectations for a consistent and personalized brand experience.

Automating the process with an identity resolution platform can provide the following benefits:

  • Deeper customer insights. Piecing together data signals from multiple data sources and interactions enables marketers to build more robust customer profiles. Knowing the customer at a more granular level can help drive rich customer insights that enhance campaign targeting, personalization and relevance.
  • Personalization accuracy. Better personalization is a primary marketing use case for many identity resolution platforms, which create a consistent set of identifiers to fuel personalized interactions. If you don’t know with confidence who your customer is, you can’t personalize your messages or experiences.
  • More seamless customer experiences. Automated identity resolution allows marketing organizations to create a unified view of customers, which can be communicated and deployed across brands, business units and product lines. Recognizing customers across every step of the customer journey reduces waste by eliminating duplicate contacts, and enhances their experiences by enabling interactions in the right channel at the right time.
  • Stronger privacy Governance, Risk and Compliance (GRC). Effective identity resolution supports your organization’s commitment to data governance and, ultimately, consumer trust in your brand. Using an identity resolution platform makes customer preference management (including opting out), as well as regulatory and corporate policy compliance easier and more comprehensive.
  • Enhanced cross-channel attribution and campaign tracking. Persistent IDs that identify customers (both known and anonymous) across channels enables more accurate, closed-loop measurement and multi-touch attribution.
  • Improved marketing ROI. Identity graphs reduce data overlap and duplication, resulting in more efficient spending on campaigns that work. Conversely, not knowing who your customers are leads to misidentifying them and engaging in ways they may perceive to be intrusive or irrelevant.

Identity resolution platforms: A snapshot

What it is. Identity resolution is the science of connecting the growing volume of consumer identifiers to one individual as he or she interacts across channels and devices.

What the tools do. Identity resolution technology connects those identifiers to one individual. It draws this valuable data from the various channels and devices customers interact with, such as connected speakers, home management solutions, smart TVs, and wearable devices. It’s an important tool as the number of devices connected to IP networks is expected to climb to more than three times the global population by 2023, according to the Cisco Annual Internet Report.

Why it’s hot now. More people expect relevant brand experiences across each stage of their buying journeys. One-size-fits-all marketing doesn’t work; buyers know what information sellers should have and how they should use it. Also, inaccurate targeting wastes campaign spending and fails to generate results.

This is why investment in identity resolution programs is growing among brand marketers. These technologies also ensure their activities stay in line with privacy regulations.

Why we care. The most successful digital marketing strategies rely on knowing your potential customer. Knowing what they’re interested in, what they’ve purchased before — even what demographic group they belong to — is essential.

Read next: What is identity resolution and how are platforms adapting to privacy changes?


About The Author

Does your marketing team need a digital experience platform DXPDoes your marketing team need a digital experience platform DXP

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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