What do you do if your logical reasoning isn't aligning with your content strategy?

If your logical reasoning isn't aligning with your content strategy, it's crucial to reevaluate and adjust either your reasoning or strategy based on data, feedback, and set goals to ensure they are in harmony and effectively serving your objectives. Engaging with stakeholders for diverse perspectives can also provide valuable insights for alignment.

If your logical reasoning doesn't align with your content strategy, conduct a comprehensive review to identify discrepancies. Gather relevant data to support your reasoning and adjust your approach accordingly. Effectively communicate changes to stakeholders and test the revised strategy iteratively to ensure its effectiveness. Seek input from colleagues and remain flexible to adapt as needed. By aligning logical reasoning with your content strategy, you can maximize its impact and achieve your objectives effectively.

1. Review your content strategy and logical reasoning separately. 2. Identify any discrepancies or gaps between them. 3. Determine the root cause of misalignment. 4. Adjust your logical reasoning or content strategy accordingly. 5. Seek input from stakeholders to ensure alignment. 6. Continuously monitor and refine both aspects to maintain consistency.

When your logical reasoning seems at odds with with your content strategy, it's time to realign them. Remember, flexibility and adaptability are essential. Adjustments are part of the journey toward an effective content strategy. 1) Revisit Your Strategy: Reexamine your content strategy core objectives, target audience and key performance indicators. 2) Analyze Data and Metrics: Look at engagement rates, conversion data, and user behavior. 3) Seek External Perspectives: Conduct surveys or focus groups to gather external feedback. 4) Challenge Assumptions: Be open to changing course if evidence suggest a different path. 5) Test and Iterate: Implement A/B tests or pilot projects.

One of the reasons why AI will not replace (it will evolve) peoples jobs in SEM, content marketing, plus related fields, is that there is always a human element needed to dovetail with the data. Data should help inform your content marketing strategy, but it needs to be tempered with experience, expertise, and a broader understanding of your client base, and the people the content is expected to resonate with the most. Your content should be purposeful, meaningful, and impactful. You can plan and assess where any disconnect may be, and decide whether it's a barrier to the content fulfilling its purpose, or whether there is a common ground for experiments and real-world data gathering to inform any pivot in approach.

Content strategy development is notoriously difficult, the data we use to base our assumptions can be tendentious, or biased, in a wide variety of ways. It is common for managers to find a particularly interesting KPI that suggests a huge opportunity in the market, develop a strategy around it, and suddenly find that the data used to build this assumption was biased, used a similar nomenclature but with a different meaning, or that the data wasn't accurate for their purposes. This can be particularly damaging if we've invested a significant amount of resources or mobilized our company behind this assumption. Make sure you check the sources and dig deep when building assumptions, it is definitely worth the effort.

As an example, a gaming company assumed that the target audience enjoyed watching videos over reading long texts. It was a logical assumption as gamers tend to enjoy visual storytelling more. However, the data pointed out that upcoming gamers loved blogs written by fellow gamers and actively participated in a text-based community. This changed the way they approached their content strategy. Making informed decisions can help steer your strategy in the right direction.

I believe that gathering fresh insights is paramount to informed decision-making in content strategy. By conducting new audience research, analyzing recent performance data, and seeking feedback from stakeholders, content creators can gain a deeper understanding of the current landscape and identify any gaps or opportunities in their strategy. This data-driven approach empowers them to make more informed decisions, refine their content objectives, and realign their strategies accordingly. Embracing continuous learning and adaptation based on fresh insights enables content creators to stay agile and responsive to the evolving needs and preferences of their audience, ultimately driving greater engagement and success.

1. Dissociate personal feelings while handling misalignment or feedback from any stakeholder 2. Collate all feedback and map it to the brief - identify the gaps and fix those 3. Do A/B testing: For ex, if logic driven strategy seems to be failing or isn't approved, check the suggested alternative within a small audience set and see if it works or not. Either way, understand the why behind it. That forms the secondary logic For instance, in some cases Instagram stories that have polls might perform better versus video stories

Use AI tools to analyze data from your past content performance. Leverage LinkedIn’s analytics to understand audience engagement and preferences. Collect feedback directly from your audience through surveys or comments. These insights will provide a factual basis for understanding where adjustments may be necessary.

With the insights gathered, revisit your content strategy to see if it aligns with your brand goals and audience needs. Adjust your content pillars or themes, types of content, and distribution channels based on analytical findings. Ensure that your strategy logically connects with the data insights and your business objectives.

Revisiting the strategy post-insights involves scrutinizing every aspect for alignment with updated understanding and reasoning, potentially pivoting or refining to ensure logical and strategic coherence.

Testing hypotheses involves implementing small-scale experiments aligned with the revised strategy to validate logical reasoning. Close monitoring and readiness for adjustments ensure effective validation without disrupting the entire content strategy.

Testing is key Know what works and see why there’s a disconnect You need to know where the problem lies so you can proffer solution see what’s not working and what is

Formulate hypotheses based on the discrepancies you’ve identified and insights gathered. Test these hypotheses by experimenting with different content forms, messaging, or audience segments. Use A/B testing to evaluate different approaches and see which aligns best with your logical reasoning and achieves desired outcomes.

I believe in the power of data-driven decision-making and strategic alignment when implementing changes to content strategies. Gradual, thoughtful adjustments based on proven effectiveness ensure a seamless experience for the audience while driving engagement and success on the platform.

Once you’ve identified what works best through your testing, systematically implement these changes across your content strategy. This might involve overhauling your content calendar, introducing new content formats, or redefining your target audience segments.

Implementing proven-effective changes, backed by logical reasoning, is crucial for advancing your content strategy. Gradual implementation ensures alignment with strategic goals while maintaining a seamless audience experience.

I emphasize the importance of continuous evaluation in content strategy. Setting key performance indicators (KPIs) allows content creators to measure success, identify areas for improvement, and ensure alignment with logical reasoning. Regular evaluation not only helps in tracking progress but also enables adaptation to new insights and market changes, ensuring the strategy remains effective and relevant over time. This iterative process of evaluation and adjustment is crucial for driving sustained engagement and success on platforms like LinkedIn.

Continuously monitor the performance of the newly implemented strategies against set benchmarks and goals. Use both qualitative and quantitative measures to evaluate success. Adjust your approach as necessary, based on ongoing results and feedback.

Review and possibly revise the metrics you use to evaluate content effectiveness. Ensure that these metrics accurately reflect the goals of your content strategy and are sensitive enough to guide your tactical decisions.