Strategic Marketing Plan: Case of Google LLC

Wk 2 – Part A: Environmental Analysis and SWOT Analysis

Business Description

Google LLC is a worldwide American multinational technology corporation, and it is no secret that the company has become the leading force in the internet-related business service and products market. Their mission is to organize the world around the information and make it universally reachable and useful. In contrast, the corporation’s vision is to provide access to world information in a single click (Google, 2025). Notably, this is mainly obtained because it has a strong search engine and a battery of auxiliary online services such as YouTube, Gmail, Google Docs, Google Maps, and Google Chrome: Strategic Marketing Plan: Case of Google LLC.

Google is physically present in 69 cities in North America and 40 locations in Europe, and it shows expansive international coverage. However, it is still struggling to make a tight move into closed markets such as China. Google caters to a wide variety of people based on age, affordability, and geographical location. Although the younger generations use the platform to access entertainment and socialize, older generations use the platform to be productive and communicate (Tanabe, 2023). Google’s marketing approach is based on the principles of zero-friction advertising and information about customers’ behaviors based on data.

Environmental Analysis

Competitive Forces

The digital market is saturated and fierce, and Google has significant competitive threats from Microsoft (Bing), Amazon (AWS), Apple (Safari and ecosystem integration), Meta (digital advertising), and the Chinese search giant Baidu. Google search, based on the size of the market and steady revenue/earnings, especially using advertising, would fall in the BCG Matrix under Cash Cow. Close competitor to Google is Bing, developed by Microsoft, which has been gaining more users due to the inclusion of AI applications such as ChatGPT, which is a new strategic decision (Borra, 2024).

YouTube competes with TikTok and the video content offered by Meta but has continued to dominate the long-form video content. Nonetheless, despite this competition, Google still has a competitive edge, characterized by its massiveness, ecosystem integration, data analytics abilities, and mass reception of its products such as GMAIL and Chrome. According to the current estimates, Google still enjoys about 92 percent of the world market share in search engines, reaffirming its dominance in the market.

Economic Forces

The world economy has had a great impact on Google’s operations. Digital advertising spending is the source of most of Google’s revenues and is subject to economic fluctuations. For example, when economic times are bad, companies tend to streamline advertising expenditures, which may affect Google’s revenues. Nevertheless, Google has a wide product platform that offers a diversification of revenues.

Additionally, Google’s dependence on vendors and cloud operational systems exposes the company to macroeconomic conditions such as inflation and the supply chain. However, it has a huge financial base, which allows it to support economic turbulence more than a small competitor.

Political Forces

In Google’s operations, geopolitical changes and government policies are part of the company’s mechanism. Trade tension among countries, particularly between the U.S. and China, restricts the growth of Google. There has also been an upsurge in scrutiny through political pressure in Europe, which has resulted in antitrust investigations and monetary fines for business dominance and privacy intrusion.

The threat of data privacy, misinformation, and big tech monopolies as a topic of political discussion is still real in the United States. Google is currently operating under a lax content moderation and data localization policy. Any new major legislative changes would change that.

Legal, Regulatory, and Ethical Issues

One of the greatest wounds that continues to affect the stability of Google is legal fights. In recent years, it has been hit by antitrust lawsuits in various jurisdictions, including the U.S. and the EU. These proceedings usually center on Google’s dominance in search and advertising and Android default installations. Moreover, Google has transformed its user data practices by introducing the General Data Protection Regulation (GDPR) in Europe.

The ethical issues of data privacy, user consent, and algorithmic transparency are still under close attention of citizens and the government. New future laws intended to help the consumer will most likely mean that Google would have to change more of their systems and user interfaces, which may disrupt user experience and even profitability.

Technological Forces

Google is at the core of technology and has to be on top of constantly changing trends. Its strategy is largely affected by the emergence of artificial intelligence, specifically generative AI, cloud computing, augmented/virtual reality, and the like (Syam, 2025). Google Search has reacted by adding AI to Search and working on its models to rival ChatGPT, such as Gemini. Moreover, the solution to 5G technology, smart devices, and mobile computing has opportunities and challenges. Although they enable Google to scale up initiatives such as Google Assistant and Android OS, they will also require incessant innovation and spending.

Social Forces

Google’s operations are also subject to cultural and social changes. The need to moderate content and establish ethical advertising has transpired. Notably, this is due to the growing awareness of digital well-being, data security, and misinformation. The increased awareness and the need to conduct more and more operations in an environmentally friendly manner have encouraged Google to invest more in sustainability, such as renewable energy-powered data centers.

The rise of mobile devices and the normalization of remote working have shown the need for productivity tools that can be stored and used in the cloud, such as Google Workspace. The fact that people are changing towards consuming on-demand content contributes to the influx of platforms such as YouTube.

Current Target Markets

The current target market of Google is the global market that is cutting across ages. Demographically, it targets both the tech-savvy people of the millennial generation and the Gen Z generation with products such as YouTube and Android, as well as older adults with Gmail and Google Docs (Tarabasz, 2024). Psychographically, it would attract customers because it is convenient, fast, and digital.

Geographically, Google is spread around most parts of the world except countries most restricted, such as China. There is segment variation in product usage. Professionals and students use Google Docs and Calendar to be more productive, and for information or entertainment; general users take advantage of Search, Maps, and YouTube.

Current Marketing Tactics

Google uses clever marketing strategies that are not conspicuous. Its main strategy is to incorporate advertisements into its services. According to Ohara et al. (2024), these are search ads, display ads, app ads on Google Play, and YouTube video ads. These advertisements are targeted at the consumer, depending on how that individual engages in a product or service, and therefore, the ad is more relevant and results in a higher conversion rate.

Google has also entered strategic liaisons with other businesses and invests in the brand’s visibility through product placement and sponsorships. The capability to amass and process enormous user data enables targeting the audience at specific levels and optimizing advertisement campaigns.

SWOT Analysis

Strengths

1. Market Dominance

Google’s search engine has a market share exceeding 90%. Notably, this makes it the uncontested leader in the domain.

2. Diverse Product Portfolio

From productivity tools to entertainment, Google’s suite of products supports a wide user base.

3. Strong Brand Recognition

Ranked among the top global brands, Google enjoys unparalleled trust and visibility.

4. Technological Leadership

Its investments in AI, quantum computing, and cloud infrastructure position it as a future-ready enterprise.

5. Financial Resources

Google’s parent company, Alphabet, has significant cash reserves, enabling aggressive R&D investment.

Weaknesses

1. Overdependence on Advertising

A substantial portion of Google’s revenue comes from advertising, which is vulnerable to economic cycles.

2. Privacy Concerns

Ongoing scrutiny regarding user data management affects its public image.

3. Limited Social Media Success

Compared to competitors like Meta, Google has struggled with social platforms such as Google+.

4. Regional Restrictions

Inability to penetrate the Chinese market significantly limits its growth potential.

Opportunities

1. AI Integration

Expansion of AI in search and productivity tools can create new user experiences and revenue streams.

2. Cloud Services Growth

Google Cloud can be scaled further, especially in the enterprise sector.

3. Sustainability Branding

As consumers prioritize eco-friendliness, Google’s investments in clean energy can boost its brand appeal.

4. Healthcare and Wearables

With devices like Fitbit, Google can diversify into digital health and wellness.

Threats

1. Regulatory Backlash

Increasing global regulatory pressure could lead to heavy fines and operational restrictions.

2. Fierce Competition

Rivals like Amazon, Microsoft, and Apple challenge Google across multiple fronts.

3. Cybersecurity Risks

Being a tech giant makes Google a primary target for cyberattacks.

4. Public Mistrust

Growing skepticism about tech companies could erode user loyalty and trust.

Converting Weaknesses and Threats to Strengths & Converting Strengths to Opportunities

To curb weaknesses such as excessive use of advertising, Google might further advance other services such as YouTube Premium and Google One. Transparent policies and sophisticated encryption of privacy issues will help to turn weaknesses into a strength of trust. Google should use its technological and financial capabilities to invest in emerging sectors, including AI-based health diagnostics and city sustainability. Being ahead of the curve in ethical AI, Google can translate its technological strengths into new commercial opportunities.

Marketing Objectives

1. Expand the Google Cloud Market Share

Target a 25 percent increase in enterprise customers by June of 2026 by reaching out to key customers and strengthening infrastructure.

2. Improve YouTube Monetization

YouTubers need new monetization models that should appear by the end of 2025, and ad revenue volumes should grow by 15 percent.

3. Enhance Brand Perception In Data Ethics

Hold an international privacy awareness campaign by the end of March 2026 to enhance consumer confidence. The goal is to achieve 30% growth in user satisfaction ratings.

4. Grow Presence In Wearable Technology

Reach a 10% market share in wearables by January 2027 due to product innovation and strategic partnerships.

Wk 4 – Part B: Marketing Data Analysis

Internal Data

Having internal information is important to the organization in forming strategic marketing practices at Google. Internal data offers pools of information that the company owns. Being in the high-tech business sector with a heavy emphasis on data, Google itself has immense internal databases covering the areas of advertising, cloud-related services, and user engagement systems (Ngcobo et al., 2024). The table provided below assesses the strategic use of core internal sources of data, what it measures, and how it is applied in strategic decision making.

Internal Data Table

Source	What it Measures	Data Type	Potential Data Usage
Sales data	Monthly sales by product/service category (such as Google Ads, YouTube Premium, and Google One)	Quantitative: Revenue numbers, segmented by service and geography	Used for trend analysis, forecasting, ROI evaluation, and determining the success of pricing or promotional campaigns
User engagement metrics	Interaction time, feature usage, frequency of return, bounce rates across platforms like Search, YouTube, Gmail	Behavioral: Click-through rates, session durations, user paths	Assesses user behavior and satisfaction; supports product development and UX improvements; identifies highly active or at-risk user segments
Advertising campaign data	Ad performance (impressions, CTRs, conversions) across the Google Ads network	Quantitative & behavioral: A/B test results, conversion rates	Used to optimize ad creatives, budget allocation, target market refinement, and retargeting strategies
Product usage analytics	Usage frequency and patterns across products like Google Workspace, Android OS, and Chrome	Quantitative: Feature adoption rates, frequency of use	Guides feature updates, identify underused tools, and support targeted feature promotion
Customer support interactions	Volume and type of support tickets, resolution time, customer satisfaction scores	Qualitative & quantitative: Sentiment, resolution rates	Help identify product pain points, inform training materials, and guide service improvement plans
Subscription and churn data	Number of subscriptions, cancellations, churn rate by product and region	Quantitative: Retention trends, renewal rates	Evaluates customer lifetime value, predicts at-risk users, and supports retention and loyalty program development

Primary Data

Primary data collection will give the immediate consumer views that Google can utilize to make changes in offering services, messaging, and innovations that are based on new user feedback. Grid research is supplementary to the internal information that offers a qualitative background and the mood of clients. The following is an analysis of the utility of Google’s primary source.

Primary Data Table

Source	What it Measures	Data Type	Potential Data Usage
Focus groups	User perception of new Google products or features	Qualitative	Captures diverse opinions; identifies usability issues, emotional reactions, and improvement areas before large-scale rollout
Online surveys	Customer satisfaction, brand perception, feature preferences	Quantitative	Measures NPS, CSAT, and product affinity; used to benchmark performance and identify market needs
In-depth interviews	Consumer motivations, values, and pain points with services	Qualitative	Enables deep psychological insight into user choices; supports persona development and brand storytelling.
Usability testing	Effectiveness and intuitiveness of new UI/UX designs	Qualitative	Reveals design flaws and helps iterate faster; ensures that updates improve accessibility and engagement
Customer feedback forms	Experience with customer service or product interfaces	Mixed	Provides immediate reaction data; helps adjust support processes and digital touchpoints
Beta testing programs	Performance and value perception of pre-release software/products	Quantitative & Qualitative	Helps validate technical performance and feature utility in real-world environments

Secondary Data

Secondary data supports Google’s competitive positioning. Notably, this is through offering external customer behavior and market evolution trends (Van Der Vlist et al., 2024). Essentially, these data sets are vital for benchmarking performance and uncovering gaps in service or market coverage.

Secondary Data Table

Source	What it Measures	Data Type	Potential Data Usage
U.S. Census Bureau	Demographic profiles by region, family structure, and income levels	Quantitative	Identifies geographic and demographic segments with high digital adoption potential
Statista	Global internet usage, ad spending trends, and mobile app downloads	Quantitative	Validates market trends, supports product prioritization, and guides ad spending allocation.
Gartner Reports	Technology adoption rates and digital transformation trends in enterprises	Qualitative & quantitative	Identifies IT spending behavior and trends in cloud/AI investment; aids in shaping B2B marketing strategies
Pew Research Center	Public opinion on tech ethics, AI, privacy, and digital well-being	Qualitative	Informs ethical positioning, guides messaging for public trust campaigns
eMarketer	Advertising revenue, search engine market shares, media consumption trends	Quantitative	Benchmarks advertising competitiveness; helps target sectors with higher conversion potential
Industry trade associations	Market developments, regulatory updates, innovation spotlights	Mixed	Tracks upcoming legal requirements or disruptive innovations that may impact strategic decisions

Customer Relationship Management (CRM)

Google CRM strategy deals with billions of interactions with products such as Gmail, YouTube, and Google Workspace. Optimal CRM is the one that monitors the customer journey, analyzes the behavior, and initiates proper responses to foster acquisition activity, customer retention, and upselling prospects (Johnson et al., 2024).

CRM Touchpoint Table

CRM Touchpoint	Purpose and CRM Objective	Data Type	Potential Data Usage
Website user profile	Start of customer journey (Google account creation and personalization)	Geographic location, age, email, device, language	Personalized Enables recommendations,  regional promotions, and audience segmentation
Search query logs	Understand user needs and preferences	Search terms, frequency, time, and click patterns	Supports contextual ad targeting and trends forecasting
YouTube viewing history	Content interests, duration, and engagement	Video types, watch time, likes/dislikes	Refines content Recommendations and guides for monetization models based on consumption patterns
Gmail behavioral data	Interaction with newsletters, promo emails, and embedded links	Open/click rates, reply behavior	Enables dynamic email campaigns, automation, and enhanced retention strategies
Google Play and App Store logs	App installation behavior, ratings, and reviews	Install/uninstall patterns, app ratings	Informs app improvements, user sentiment, and feature adoption
Google Workspace interaction logs	Monitor productivity tool usage (Docs, Sheets, Meet)	Usage frequency, feature usage	Helps target business solutions, recommend upgrades, and support feature-specific education efforts

Analysis

Google has a large enough ecosystem that makes internal data a gold mine, which, when used sufficiently well, yields strategic understanding at every level of operations. Sales figures, for example, can help monitor the revenue as well as be used as an indicator of product-market fit and the success of previous marketing campaigns. Once sales of Google Workspace increase after the announcement of a new feature, the data confirms the user demand and informs future roadmaps.

Innovations are prioritized with the help of user engagement measures. If the data indicates that Google Calendar is not well-engaged with Gen Z users, for instance, it may initiate a redesign focused on mobile-first and social-immersed scheduling applications. On the contrary, the low rate of small business users using Google Ads dashboards may be caused by complexity and simplification.

Advertising campaign data is probably the most valuable internal data that Google has used; it is not simply used to optimize spending on the advertisements. It provides a micro-level contextual insight into consumer behavior, facilitating behavioral targeting at scale. This gives Google freedom to fulfill its promise of zero-friction advertising, where an advertisement does not frustrate the user but is helpful in context. Customer support data has an important but sometimes under-recognized strategic role.

Comparing the average frequency of complaints, their resolution time, and satisfaction rates will help Google identify areas of friction that cause customer churn or negative reputation. Integrating support tickets with churn data results in predictive vision: when a customer submits three complaints over a month and further cancels a subscription, the pattern is a red flag to retention. Churn and subscription trends are topical regarding the transition of Google to subscriptions (such as Google One, YouTube Premium). If users unsubscribe due to price sensitivity, perceived value, or misaligned UX, retention tactics and product bundling ideas may be based on it.

Primary Data

On the primary data front, there has never been a time when the input of real-time consumer data has been as high as it is currently, given the pivot to privacy-first technologies offered by Google and the ascension of generative AI. Although not statistically representative, focus groups provide more personalized and detailed information, which is especially important when addressing sensitive areas of interest, such as AI-summarization or health data monitoring, when using Fitbit. These perceptions are scaled up using online surveys that identify the trends on population levels and assist in quantifying the success of the rebranding efforts (as the one created by Google on the ethics of privacy).

Product managers and UX designers can hardly live without in-depth interviews and usability testing. As an illustration, one can say that users can be dissatisfied with moving about the Google One dashboard, which is the area to optimize or gamify. In the same line of argument, the beta stage of Gemini, the AI assistant created by Google, offers product-market fit before it is further applied.

Secondary Data

Google can evaluate industries in the enterprise sector that can be targeted by analyzing the adoption of AI and cloud by Gartner. Statista statistics could also indicate an increase in mobile use among the elderly population, which implies that new UX requirements in accessibility must be identified. Pew Research can assist Google with positioning transparency to promote unrivaled data transparency and help the company overcome the negative perception of its lack of privacy by making data transparency its value proposition and rendering Google a privacy-centric brand.

CRM systems unite all this data. Google’s user-friendly and AI-optimized CRM should be automated at all major contact points. For example:

1. An active consumer of health-based queries and persons who installed the Fitbit application can obtain detailed wellness content, thus supporting brand value.
2. Google may upsell a Google Workspace premium subscription if the data on Gmail indicates that a user frequently receives and clicks through Workspace integration emails.
3. Feedback loops that can regain trust can be initiated by a negative review of a Maps update in the Play Store that may prompt an apology email.

CRM touchpoints, such as a personal dashboard or alerts generated by AI, can increase customer retention. Google enjoys a sustainable edge because it can incorporate real-time data into its platforms to dynamically adjust the experiences of its users. Further, Google can determine lifecycle gaps by recombining the CRM data on user journeys.

Suppose the failure of millions of Android users to switch to Google Pay creates a barrier to conversion. In that case, based on CRM knowledge, the company may develop onboarding campaigns that gently help users make this transition, such as installing gamification, specific rewards, or more security messages.

Strategic Recommendations Based on Marketing Data Analysis

Enhance Data-Driven Personalization Across Platforms

Google ought to make better use of its internal data sets, such as product usage and support logs, as well as ad performance, to customize customer paths. Some users spend a lot of time on Google Docs and Calendar and are not heavy users of Meet; such users can be offered tutorials or incentives to observe a video meeting.

Use CRM and Primary Data to Strengthen Trust Campaigns

Since the negative perception toward tech giants increases the skepticism on their products, Google needs to assess privacy concerns and measure them through surveys, focus groups, and CRM logs. After that, the company can compare the findings with the secondary data, such as Pew studies. This can support trust-building initiatives, which will strengthen GDPR and U.S. compliance.

Driving Innovation through Beta Testing and Feedback Loops

New forms of Beta testing should become core to R&D, particularly in new categories such as generative AI and digital health. It should be based on internal usage data and feedback data provided by test groups to inform product pivots. One would be patient input during the development of the Gemini period, where a lack of voice tonality was the observation leading to accelerated loop.

Use Subscription and Churn Analysis to Optimize Bundling

As the attention to subscriptions grows, Google needs to study churn drivers and use A/B testing to determine how the audience would accept different bundle offers (such as Google One + YouTube Premium). CRM data must monitor pre- and post-bundle usage to monitor stickiness.

Leverage Secondary Data for a Regional Expansion Strategy

Although the internal data provides clues as to the areas where Google is strongest, external data, such as the U.S. Census Bureau and the studies of the range of broadband penetration worldwide, could identify the underserved areas. For example, when Southeast Asia displays increased digital literacy and ineffective Google Cloud implementation, localized marketing campaigns and the support of local languages must come into play.

Developing Predictive Retention Models Based on CRM Metrics

Google can use predictive modeling via CRM touchpoints to anticipate defection in the case of users. A combination of engagement, support tickets, and churn patterns makes it possible to run proactive retention campaigns. For example, white-glove support outreach or personalized offers could be given to dissatisfied users.

Wk 6 – Part C: Market Strategy, Marketing Channels, Implementation, and Monitoring

Use the information you researched in your Week 5 assignment for the sections they correspond to in this section.

New Customer Segments

Determine any new customer segments for your strategy and describe how you will provide value to each segment.

Marketing Mix for New Customer Segments

Determine adaptations for each new customer segment. Include:

• Products
• Price
• Distribution
• Traditional promotion
• Online promotion

Marketing Implementation

Create the implementation for your marketing strategy plan. Describe how you will organize and implement the plan, such as whether it will be organized by market or geography, and who is responsible for marketing decisions.

Marketing Communication Channels

Evaluate the digital and traditional marketing communication channels you will use to reach selected audiences.

Identify 3 or 4 channels to convey key messages and list them in the Channel column of the Marketing Communication Channels Table. For each channel, input target market, advantages, and disadvantages in the respective columns. Insert or remove rows, as needed. Row 1 contains a completed example for reference.

Marketing Communication Channels Table

Channel	Target Market	Advantages	Disadvantages
Example: Direct mail	Example: Middle class residential	Example: Can include coupons	Example: Expense and low return rate for given product

Strategic Actions

Develop strategic actions required to implement the marketing plan and list them in the Strategic Action column of the Strategic Actions Table. For each strategic action, provide the date for completion, person/role responsible, and standard or metric to indicate the action is complete in the respective columns. Insert or remove rows, as needed. Row 1 contains a completed example for reference.

Strategic Actions Table

Strategic Action	Date for Completion	Person/Role Responsible	Standard or Metric to Indicate the Action is Complete
Example: Design flyer for direct mail campaign	Example: 1/1/2024	Example: J. Smith, graphic designer	Example: Approval by senior marketing team and legal

Strategic Action Monitoring

Develop the measurement to identify how you know you have been successful for each strategic action. Specify the measures to track performance against goals. Identify standard reports from your online and traditional marketing efforts.

For each action listed in the Action column of the Strategic Action Monitoring Table, provide the overall target, person responsible, and inter-measurement in the respective columns. Insert or remove rows as needed. Row 1 contains a completed example for reference.

Strategic Action Monitoring Table

Action	Overall Target	Person Responsible	Inter-measurement
Example: Direct mail flyer	Example: Generate 1,100 new inquiries.	Example: Western regional manager	Example: Generate 500 new inquiries during the first month of campaign.

References

Borra, N. P. (2024). A survey of Google Cloud Platform (GCP): Features, services, and applications. International Journal of Advanced Research in Science Communication and Technology, 4(3), 191–199. https://doi.org/10.48175/ijarsct-18922

Google. (2025). Our approach to Search – How Google Search works. Google Search. https://www.google.com/intl/en_us/search/howsearchworks/our-approach/

Johnson, N. E., Lande, N. O. B. S., Adeleke, N. G. S., Amajuoyi, N. C. P., & Simpson, N. B. D. (2024). Developing scalable data solutions for small and medium enterprises: Challenges and best practices. International Journal of Management & Entrepreneurship Research, 6(6), 1910–1935. https://doi.org/10.51594/ijmer.v6i6.1206

Ngcobo, K., Bhengu, S., Mudau, A., Thango, B., & Matshaka, L. (2024). Enterprise data management: Types, sources, and real-time applications to enhance business performance – A systematic review. Preprints. https://doi.org/10.20944/preprints202409.1913.v1

Ohara, M. R., Suparwata, D. O., & Rijal, S. (2024). Revolutionary marketing strategy: Optimising social media utilisation as an effective tool for MSMEs in the digital age. Journal of Contemporary Administration and Management (ADMAN), 2(1), 313–318. https://doi.org/10.61100/adman.v2i1.125

Syam, S. (2025). A systematic literature review on the role of artificial intelligence in digital marketing strategies. Income Journal of Economics Development, 6(1), 1–6. https://doi.org/10.54065/ijed.6.1.2025.335

Tanabe, S. (2023). The marketing strategy of Google. Journal of Education Humanities and Social Sciences, 23, 416–421. https://doi.org/10.54097/ehss.v23i.12927

Tarabasz, A. (2024). The impact of digital on marketing strategy. In Digital Marketing (1st ed., pp. 21–37). CRC Press. https://doi.org/10.1201/9781003384960-3

Van Der Vlist, F., Helmond, A., & Ferrari, F. (2024). Big AI: Cloud infrastructure dependence and the industrialisation of artificial intelligence. Big Data & Society, 11(1). https://doi.org/10.1177/20539517241232630

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Assignment Instructions
This week you continue your strategic marketing plan for your selected business (GOOGLE LLC.). The data analysis part of the plan is about analyzing the marketing data that’s available, including internal, secondary, primary, and customer relationship management (CRM) data. You will also need to identify sources for each type of data.

Access the Strategic Marketing Plan Template that you submitted in Week 2 that contains your completed information for Part A (60751 see attachment).

Review the feedback you received from your faculty member on your Wk 2 – Apply: Summative Assessment: Part A: Strategic Marketing Plan assignment and incorporate the feedback into the next part of your strategic marketing plan.

Complete Part B: Marketing Data Analysis of the Strategic Marketing Plan Template in the same document that contains your completed Part A. You will complete Part C later in this course.

Submit your Strategic Marketing Plan Template that contains completed information for Part B and revised information for Part A.