Go-to-Market Advice for Startups Beginning their Investment Journey

David Lewis


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The Go-to-Market (GtM) stage is a crucial phase in the investment journey for startups. This stage involves the core activities required to launch a new product or service into the market, including developing effective delivery models and marketing tactics. For new startups, it is essential to proactively develop a GtM strategy, as this stage introduces a range of dynamic challenges to develop a solid market presence. Consequently, a GtM strategy must be continuously tested, refined, and adapted over time.


A clear Go-to-Market strategy provides a defined path, outlining objectives and identifying areas that may need ongoing adjustments. It serves as a roadmap to guide strategic decisions, ensuring the organisation remains focused on its goals while remaining flexible enough to pivot when necessary.


Cambridge MC was originally founded to support the Cambridge ecosystem, has since expanded its services globally to 22 countries. Drawing on insights from our work with startups and scaleups, we have created the below introduction for startups beginning their product journey. We have identified the key components of a GtM strategy that are essential for startups and other early ventures.


6 Key Components of your GtM Strategy


The following are 6 key elements of a GtM strategy:


  • Define the Unique Value Proposition (UVP) of the product


“Articulate clearly the unique value that you deliver.”


As a startup brings its product to market, defining the Unique Value Proposition (UVP) is essential. The UVP highlights what sets your product or service apart and why it is valuable to customers. Without a clear UVP, potential customers have little reason to consider your offering over existing alternatives. Understanding your unique strengths and integrating them into your strategy, marketing, and investor pitches is crucial to stand out in a competitive market.


Cambridge Management Consulting helps startups articulate a compelling UVP during their investment readiness assessments and due diligence stages. These assessments also involve analysing competitors and comparable companies to emphasise your product’s differentiation, ensuring that your UVP is clearly defined and communicated.


  • Research the Addressable Market


“Market Research is key.”


Your startup should continuously research its addressable market to deepen its understanding of the customers it aims to serve. The addressable market includes every potential customer whose needs are met by your product. Regular research allows your business to stay informed about market trends and evolving customer expectations, ensuring your product remains relevant.


Cambridge Management Consulting supports startups by helping them build detailed profiles of their target customers — uncovering insights into their needs and preferences. This valuable information can be used to refine your Go-to-Market (GtM) strategy, such as adjusting your commercial model or redefining how you present your Unique Value Proposition (UVP) to maximise appeal to your target audience.


  • Product Delivery


“What is the commercial model that underpins the service?”


Your startup must carefully choose how its products or services are delivered, which includes deciding on the commercial model, price point, and distribution channels. For example, will your product be offered on a subscription basis or through a one-time fee? Will it be sold directly through an eCommerce platform or via partners? Selecting the right delivery method involves more than just considering costs and revenue; it also requires a strategic approach that aligns with your ideal customer profile, ensures scalability, and provides a repeatable method for customer acquisition.


We help startups refine their pricing strategies and market approach by analysing key financial elements, such as customer acquisition costs, profit margins, and burn rate. This process helps develop a financial plan that aligns with your overall Go-to-Market strategy, ensuring the chosen delivery model is sustainable and strategically sound


  • Identify competitors and comparable players


“Find as many comparable companies as you can to understand why you are different.”


Your GtM strategy should be shaped by a thorough understanding of your competitors and comparable players in the market. Competitors significantly influence market dynamics, and aligning your strategy with these realities is essential. Conducting due diligence and competitive research allows your start-up to benchmark its GTM approach against others, helping you assess its potential effectiveness and identify potential risks.


A common mistake among startups with a new tech product is claiming they have no competitors. It’s crucial to broaden your perspective to include indirect competitors, fringe market players, or providers that offer alternative solutions to the needs your product addresses. We recommend that startups compile a list of at least 20-30 competitors or comparable players. This comprehensive analysis not only aids in refining your Unique Value Proposition but also demonstrates to investors that you have a deep understanding of your addressable market and your positioning within it.


  • Develop a Marketing Strategy


“There is an overcommitment to driving traffic early when you are still trying to figure out your SEO strategy, your key words, your target customer etc.”


“Build it, and they won’t necessarily come.” Developing the right marketing strategy for your addressable market — and within your budget — is crucial. A key objective is to communicate your product’s Unique Value Proposition effectively, which involves selecting the most suitable marketing channels. Depending on your target audience and budget, this might mean leveraging a comprehensive and consistent social media campaign, forming strategic partnerships, or exploring other tailored approaches in media and advertising.


A common pitfall for startups is over-investing in marketing without fully understanding potential customer behaviour. For instance, investing heavily in Search Engine Optimisation (SEO) to drive website traffic without knowing what type of traffic converts into sales can lead to wasted resources. Therefore, aligning your marketing strategy with the broader Go-to-Market plan is essential. Begin with a ‘learning’ and ‘testing’ phase to deepen your understanding of the market and customer expectations before scaling efforts.


We offers sales and marketing expertise to guide you through these critical strategy elements. Our experts provide advice on optimising marketing channels, brand development, tone of voice, pitch decks, SEO, and both paid and organic campaigns, as well as lead-generation tactics. This holistic approach ensures your marketing efforts are effectively integrated with your overall GtM strategy.


  • Feed Pitch Deck


“Articulate a narrative from a market perspective.”


Your Go-to-Market strategy should play a pivotal role in shaping the pitch deck you present to investors. It is important to craft a narrative that illustrates how you developed and refined your strategy, demonstrating your startup’s ability to adapt, learn, and respond to market dynamics.


For instance, highlight how market research guided the creation of an ideal customer profile as part of your GtM strategy and how this insight led to adjustments in your marketing tactics to better capture your target audience. Use your GtM strategy to tell a compelling story supported by relevant data points that showcase your startup’s value proposition and growth potential.


We offer a unique combination of expertise and due diligence to support startups in achieving investor readiness. We also have access to partners who offer a range of services that enabling startups to present their team, products, and services to attract investors efficiently.


Three Key Characteristics of a Strong GtM Plan: Executability, Measurability and Repeatability


When developing your strategy, startups should focus on three key elements: executability, measurability, and repeatability. The importance of these elements shifts across different funding stages, as we explore in more detail below.


Executability


An executable Go-to-Market strategy is crucial for startups at the seed stage, as it assures investors that their capital will be used effectively to achieve practical results. To demonstrate that your GtM strategy is executable, highlight your expertise in the relevant market. This can be achieved by showcasing a credible, talented, and knowledgeable team that instills confidence in your investors.


Measurability


A measurable strategy is crucial at the seed stage because it demonstrates to investors that your startup is committed to an informed, data-driven approach. By measuring your GtM strategy, you can test specific elements, make adjustments, and optimise your approach — an agile process that minimises risk and enhances decision-making.


While other factors like repeatability are valuable, they are less critical at the seed stage, as investors understand that your GtM strategy is still evolving. At this stage, the focus is on learning about the market and refining your approach rather than having a fully mature strategy.


Repeatability


An important final element of your GtM strategy is repeatability. A repeatable strategy is one that can be consistently applied to capture customers and drive growth. This element becomes particularly critical for scaling startups, where investors have higher expectations regarding the maturity and effectiveness of your GtM approach.


“As a scaling start-up, your Go-To-Market has to be fairly established. Everyone expects you to know your addressable market, your ideal customer, your commercial model. You should be able to demonstrate that you have converted a number of customers in a repeatable fashion.”


Cambridge MC: Empowering Start-ups on their Path to Success


Cambridge Management Consulting offers unparalleled support to startups embarking on their investment journey. 


With over 200 senior consultants across 22 countries, we provide global expertise in technology, helping startups overcome people, process, and digital technology challenges. 


Key Benefits


  • Industry Expertise: Consultation from senior executives with extensive first-hand experience in both private and public sectors


  • Investment Readiness Program: Assessment of the key elements for investment readiness and improvement supported by experts


  • Investor Start-Up Matchmaking: Developing startup-investor connections based on industry, stage, and business focus


  • Global Reach: Connection with a global network spanning major cities and innovation hubs such as Cambridge, London, New York, Paris, Tel Aviv, Dubai, Singapore, and Helsinki


  • Channel Distribution: Use of Cambridge Connect, which is part of the Cambridge MC family of companies, and which is a leading Technology Services Distributor (TSD) with a global presence, specialising in the EMEA market


  • Tailored Solutions: Customised strategies that address specific needs and market conditions unique to each startup


  • Enhanced Credibility: Demonstrable partnership with an established market leader, which can instil confidence in potential investors


  • Fractional Leaders: Access to seasoned executive technology leaders who can fulfil a critical CxO role in a fractional capacity and at a fractional cost, enhancing your technological capabilities


This combined service ensures that startups are not only equipped with a watertight GtM strategy, but also gain the critical insights needed to navigate the complexities of early-stage investment. Through strategic guidance and practical solutions, we help startups achieve sustainable growth and long-term success.
Get in touch using the form below to find out, email info@cambridgemc.com more or go to our Go-to-Market service page.


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by Darren Sheppard 4 December 2025
What is the Contract Lifecycle Management and Why does it Matter? The future success of your business depends on realising the value that’s captured in its contracts. From vendor agreements to employee documents, everywhere you look are commitments that need to be met for your business to succeed. The type of contract and the nature of goods or services it covers will determine what sort of management activities might be needed at each stage. How your company is organised will also determine which departments or individuals are responsible for what activities at each stage. Contract Lifecycle Management, from a buyer's perspective, is the process of defining and designing the actual activities needed in each stage for any specific contract, allocating ownership of the activities to individuals or groups, and monitoring the performance of those activities as the contract progresses through its lifecycle. The ultimate aim is to minimise surprises, ensure the contracted goods or services are delivered by the vendor in accordance with the contract, and realise the expected business benefits and value for money. The Problem of Redundant Spend in Contracts Despite the built-in imbalance of information favoring suppliers, companies still choose to oversee these vendors internally. However, many adopt a reactive, unstructured approach to supplier management and struggle to bridge the gap between contractual expectations and actual performance. Currently, where governance exists, it is often understaffed, with weak, missing, or poorly enforced processes. The focus is primarily on manual data collection, validation, and basic retrospective reporting of supplier performance, rather than on proactively managing risk, relationships, and overall performance. The amount of redundant spend in contracts can vary widely depending on the industry, the complexity of the contracts, and how rigorously they are managed. For further information on this, Cambridge MC’s case studies provide insights into typical ranges and common sources of redundant spend. As a general estimate, industry analysts often state that redundant spend can account for as much as 20% of total contract value. In some cases, especially in poorly managed contracts, this can be much higher. What is AI-driven Contract Management? Artificial Intelligence (AI) is redefining contract management, transforming a historically time-consuming and manual process into a streamlined, efficient, and intelligent operation. Traditionally, managing contracts required legal teams to navigate through extensive paperwork, drafting, reviewing, and monitoring agreements — a process prone to inefficiencies and human error. With the emergence of artificial intelligence, particularly generative AI and natural language processing (NLP), this area of operations is undergoing a paradigm shift. This step change is not without concerns however, as there are the inevitable risks of AI hallucinations, training data biases and the threat to jobs. AI-driven contract management solutions not only automate repetitive tasks but also uncover valuable insights locked up in contract data, improving compliance and reducing the risks that are often lost in reams paperwork and contract clauses. Put simply, AI can automate, analyse, and optimise every aspect of your contract lifecycle. From drafting and negotiation to approval, storage, and tracking, AI-powered platforms enhance precision and speed across these processes; in some cases reducing work that might take several days to minutes or hours. By discerning patterns and identifying key terms, conditions, and concepts within agreements, AI enables businesses to parse complex contracts with ease and efficiency. In theory, this empowers your legal and contract teams (rather than reducing them), allowing personnel to focus on high-level tasks such as strategy rather than minutiae. However, it is important to recognise that none of the solutions available in the marketplace today offer companies an integrated supplier management solution, combining a comprehensive software platform, capable of advanced analytics, with a managed service. Cambridge Management Consulting is one of only a few consultancies that offers fully integrated Contract Management as a Service (CMaaS). Benefits of Integrating AI into your Contract Lifecycle Management Cambridge MC’s Contract Management as a Service (CMaaS) 360-degree Visibility: Enable your business to gain 360-degree visibility into contracts and streamline the change management process. Real-time Data: Gain real-time performance data and granularly compare it against contractually obligated outcomes. More Control: Take control of your contracts and associated relationships with an integrated, centralised platform. Advanced meta data searches provide specific information on external risk elements, and qualitative and quantitative insights into performance. Reduces Costs: By automating manual processes, businesses can significantly reduce administrative costs associated with contract management. AI-based solutions eliminate inefficiencies in the contract lifecycle while minimising reliance on external legal counsel for routine tasks. Supplier Collaboration: Proactively drive supplier collaboration and take a data-driven approach towards managing relationships and governance process health. Enhanced Compliance: AI tools ensure that contracts adhere to internal policies and external regulations by flagging non-compliant clauses during the drafting or review stage. This proactive approach reduces the risk of costly disputes or penalties. Reduces Human Errors: In traditional contract management processes, human errors can lead to missed deadlines and hidden risks. AI-powered systems use natural language processing to identify inconsistencies or inaccuracies in contracts before they escalate into larger issues. Automates Repetitive Tasks: AI-powered tools automate time-consuming tasks such as drafting contracts, reviewing documents for errors, and extracting key terms. This frees up legal teams to focus on higher-value activities like strategic negotiations and risk assessment. We can accurately model and connect commercial information across end-to-end processes and execution systems. AI capabilities then derive and apply automated commercial intelligence (from thousands of commercial experts using those systems) to error-proof complex tasks such as searching for hidden contract risks, determining SLA calculations and performing invoice matching/approvals directly against best-in-class criteria. Contract management teams using AI tools reported an annual savings rate that is 37% higher than peers. Spending and tracking rebates, delivery terms and volume discounts can ensure that all of the savings negotiated in a sourcing cycle are based on our experience of managing complex contracts for a wide variety of customers. Our Contract Management as a Service, underpinned by AI software tooling, has already delivered tangible benefits and proven success. 8 Steps to Transition Your Organisation to AI Contract Management Implementing AI-driven contract management requires a thoughtful and structured approach to ensure seamless integration and long-term success. By following these key steps your organisation can avoid delays and costly setbacks. Step 1 Digitise Contracts and Centralise in the Cloud: Begin by converting all existing contracts into a digital format and storing them in a secure, centralised, cloud-based repository. This ensures contracts are accessible, organised, and easier to manage. A cloud-based system also facilitates real-time collaboration and allows AI to extract data from various file formats, such as PDFs and OCR-scanned images, with ease. Search for and retrieve contracts using a variety of advanced search features such as full text search, Boolean, regex, fuzzy, and more. Monitor upcoming renewal and expiration events with configurable alerts, notifications, and calendar entries. Streamline contract change management with robust version control and automatically refresh updated metadata and affected obligations. Step 2 Choose the Right AI-Powered Contract Management Software: Selecting the right software is a critical step in setting up your management system. Evaluate platforms based on their ability to meet your organisation’s unique contracting needs. Consider key factors such as data privacy and security, integration with existing systems, ease of implementation, and the accuracy of AI-generated outputs. A well-chosen platform will streamline workflows while ensuring compliance and scalability. Step 3 Understand How AI Analyses Contracts: To make the most of AI, it’s essential to understand how it processes contract data. AI systems use Natural Language Processing (NLP) to interpret and extract meaning from human-readable contract terms, while Machine Learning (ML) enables the system to continuously improve its accuracy through experience. These combined technologies allow AI to identify key clauses, conditions, and obligations, as well as extract critical data like dates, parties, and legal provisions. Training your team on these capabilities will help them to understand the system and diagnose inconsistencies. Step 4 Maintain Oversight and Validate AI Outputs: While AI can automate repetitive tasks and significantly reduce manual effort, human oversight is indispensable. Implement a thorough process for spot-checking AI-generated outputs to ensure accuracy, compliance, and alignment with organisational standards. Legal teams should review contracts processed by AI to verify the integrity of agreements and minimise risks. This collaborative approach between AI and human contract management expertise ensures confidence in the system. Step 5 Refine the Data Pool for Better Results: The quality of AI’s analysis depends heavily on the data it is trained on. Regularly refine and update your data pool by incorporating industry-relevant contract examples and removing errors or inconsistencies. A well-maintained data set enhances the precision of AI outputs, enabling the system to adapt to evolving business needs and legal standards. Step 6 Establish Frameworks for Ongoing AI Management: To ensure long-term success, set clear objectives and measurable goals for your AI contract management system. Define key performance indicators (KPIs) to track progress and prioritise features that align with your organisation’s specific requirements. Establish workflows and governance frameworks to guide the use of AI tools, ensuring consistency and accountability in contract management processes. Step 7 Train and Empower Your Teams: Equip your teams with the skills and knowledge they need to use AI tools effectively. Conduct hands-on training sessions to familiarise users with the platform’s features and functionalities. Create a feedback loop to gather insights from your team, allowing for continuous improvement of the system. Avoid change resistance by using change management methodologies, as this will foster trust in the technology and drive successful adoption. Step 8 Ensure Ethical and Secure Use of AI: Tools Promote transparency and integrity in the use of AI-driven contract management. Legal teams should have the ability to filter sensitive information, secure data within private cloud environments, and trace data back to its source when needed. By prioritising data security and ethical AI practices, organisations can build trust and mitigate potential risks. With the right tools, training, and oversight, AI can become a powerful ally in achieving operational excellence as well as reducing costs and risk. Overcoming the Technical & Human Challenges While the benefits are compelling, implementing AI in contract management comes with some unique challenges which need to be managed by your leadership and contract teams: Data Security Concerns: Uploading sensitive contracts to cloud-based platforms risks data breaches and phishing attacks. Integration Complexities: Incorporating AI tools into existing systems requires careful planning to avoid disruptions and downtime. Change Fatigue & Resistance: Training employees to use new technologies can be time-intensive and costly. There is a natural resistance to change, the dynamics of which are often overlooked and ignored, even though these risks are often a major cause of project failure. Reliance on Generic Models: Off-the-shelf AI models may not fully align with your needs without detailed customisation. To address these challenges, businesses should partner with experienced providers who specialise in delivering tailored AI-driven solutions for contract lifecycle management. Case Study 1: The CRM That Nobody Used A mid-sized company invests £50,000 in a cutting-edge Customer Relationship Management (CRM) system, hoping to streamline customer interactions, automate follow-ups, and boost sales performance. The leadership expects this software to increase efficiency and revenue. However, after six months: Sales teams continue using spreadsheets because they find the CRM complicated. Managers struggle to generate reports because the system wasn’t set up properly. Customer data is inconsistent, leading to missed opportunities. The Result: The software becomes an expensive shelf-ware — a wasted investment that adds no value because the employees never fully adopted it. Case Study 2: Using Contract Management Experts to Set Up, Customise and Provide Training If the previous company had invested in professional services alongside the software, the outcome would have been very different. A team of CMaaS experts would: Train employees to ensure adoption and confidence in using the system. Customise the software to fit business needs, eliminating frustrations. Provide ongoing support, so issues don’t lead to abandonment. Generate workflows and governance for upward communication and visibility of adherence. The Result: A fully customised CRM that significantly improves the Contract Management lifecycle, leading to: more efficient workflows, more time for the contract team to spend on higher value work, automated tasks and event notifications, and real-time analytics. With full utilisation and efficiency, the software delivers real ROI, making it a strategic investment instead of a sunk cost. Summary AI is reshaping the way organisations approach contract lifecycle management by automating processes, enhancing compliance, reducing risks, and improving visibility into contractual obligations. From data extraction to risk analysis, AI-powered tools are empowering legal teams with actionable insights while driving operational efficiency. However, successful implementation requires overcoming challenges such as data security concerns and integration complexities. By choosing the right solutions, tailored to their needs — and partnering with experts like Cambridge Management Consulting — businesses can overcome the challenges and unlock the full potential of AI-based contract management. A Summary of Key Benefits Manage the entire lifecycle of supplier management on a single integrated platform Stop value leakage: as much as 20% of Annual Contract Value (ACV) Reduce on-going governance and application support and maintenance expenses by up to 60% Deliver a higher level of service to your end-user community. Speed without compromise: accomplish more in less time with automation capabilities Smarter contracts allow you to leverage analytics while you negotiate Manage and reduce risk at every step of the contract lifecycle Up to 90% reduction in creating first drafts Reduction in CLM costs and extraction costs How we Can Help Cambridge Management Consulting stands at the forefront of delivering innovative AI-powered solutions for contract lifecycle management. With specialised teams in both AI and Contract Management, we are well-placed to design and manage your transition with minimal disruption to operations. We have already worked with many public and private organisations, during due diligence, deal negotiation, TSAs, and exit phases; rescuing millions in contract management issues. Use the contact form below to send your queries to Darren Sheppard , Senior Partner for Contract Management. Go to our Contract Management Service Page
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