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# 173tech

Your Data + Our Expertise = Meaningful Impact

## Sitemaps

- [XML Sitemap](https://173tech.com/sitemap.xml): Contains all public & indexable URLs for this website.

## Posts

- [Data Salary Review](https://173tech.com/data-salaries/) - 173tech’s Data Salary Review offers data professionals key insights into salary trends, market demand, and emerging skill gaps, helping them navigate career growth and compensation expectations with confidence.
- [Freemium &  Free Trials](https://173tech.com/freemium-free-trials/) - Freemium is often misunderstood as a marketing tactic, but its true value lies in generating rich, continuous data on user behaviour, value perception, and conversion dynamics.
- [Introduction To Revenue Intelligence](https://173tech.com/introduction-to-revenue-intelligence/) - Unlock revenue intelligence: go beyond top-line metrics to understand why revenue changes, predict trends, and optimise customer growth, retention, and lifetime value.
- [Understanding Monthly Recurring Revenue](https://173tech.com/understanding-monthly-recurring-revenue/) - Learn how accurate MRR measurement, cohort analysis, and structured revenue data transform forecasting, reveal true growth drivers, and power smarter decisions.
- [The Data You Cannot Get From Klaviyo](https://173tech.com/the-data-you-cannot-get-from-klaviyo/) - How Klaviyo's reporting misleads subscription brands and what warehouse-based data modelling reveals about true LTV, campaign revenue, and segment performance.
- [Monthly Recurring Revenue Forecasting: Techniques and Best Practices](https://173tech.com/monthly-recurring-revenue-forecasting-techniques-and-best-practices/) - Accurate revenue forecasting guides strategic decisions, optimises growth, and predicts customer value by analysing trends, churn, expansion, and segments.
- [Revenue Recognition and Accounting Alignment](https://173tech.com/revenue-recognition-and-accounting-alignment/) - Revenue recognition is crucial for subscription businesses, ensuring financial reports reflect true economic value, not just cash collected or compliance with accounting rules.
- [Tracking Expansion And Contraction](https://173tech.com/tracking-expansion-and-contraction/) - Tracking expansion and contraction reveals true customer value, showing whether your subscription business is compounding growth or masking churn beneath new acquisitions.
- [The Data Of Two-Sided Marketplaces](https://173tech.com/the-data-of-two-sided-marketplaces/) - Two-sided marketplaces need double the data thinking. Learn what to track on both sides of your funnel — from acquisition to revenue — and why the cross-side questions matter most.
- [Bettervits](https://173tech.com/bettervits/) - How 173tech helped Bettervits built a unified data stack in 14 weeks, turning thin margins into profitable growth with LTV and ROI clarity.
- [Acquisition & Activation For Subscription Businesses](https://173tech.com/acquisition-activation-for-subscription-businesses/) - Maximise subscription growth by focusing on activation: guide users to value early, boost retention, and turn signups into long-term paying customers.
- [Tracking Online Visitors](https://173tech.com/tracking-online-visitors/) - Learn how subscription businesses can combine server-side tracking, first-party data and consented analytics to measure growth accurately in a privacy-first world.
- [Rabot Energy](https://173tech.com/rabot-energy/) - Rabot Energy partnered with 173tech to build a scalable and efficient data infrastructure that would empower their marketing and analytics teams. The goal was to streamline data extraction, transformation, and reporting while ensuring seamless integration with their existing tech stack.
- [App Advertising & Acquisition](https://173tech.com/app-advertising-acquisition/) - Grow mobile subscriptions effectively: optimise app store listings, capture first-party data, target high-value users, and account for platform fees to boost retention.
- [Customer Lifetime Value 101](https://173tech.com/customer-lifetime-value-101/) - A practical guide to understanding, auditing, and improving Customer Lifetime Value for subscription businesses focused on sustainable, retention-led growth.
- [The Data You Cannot Get From Posthog](https://173tech.com/the-data-you-cannot-get-from-posthog/) - PostHog tracks behaviour. It can't connect it to revenue. Here's what data modelling unlocks that PostHog's dashboards never will.
- [Fyxer Predictive Analytics](https://173tech.com/fyxer-predictive-analytics/) - Fyxer.ai partnered with 173Tech to build an early LTV prediction pipeline — transforming behavioural signals into actionable revenue intelligence from day zero.
- [Voize](https://173tech.com/voize/) - voize was onboarding consistently but adoption wasn't growing. 173tech analysed data to find out why, and delivered a prioritised action plan to fix it.
- [Why Your Event Tracking Does Not Answer Your Most Important Questions](https://173tech.com/why-your-event-tracking-does-not-answer-your-most-important-questions/) - Your event tracking shows usage, but can't answer if features improve retention. Learn how Product Managerss connect product data to business outcomes.
- [Musely](https://173tech.com/musely/) - Musely sought to harness its rich customer and marketing data to optimise acquisition strategies, improve lifetime value (LTV) predictions, and refine its marketing funnel.
- [Gonyex](https://173tech.com/gonyex/) - Gain deep user insight with 173tech. We helped BigNoo unify fragmented data into actionable product analytics, boosting engagement, discovery, and conversions.
- [Pawfy](https://173tech.com/pawfy/) - How Pawfy used a unified data stack and 12-month LTV modelling to reveal true ROI, optimise ad spend, and drive profitable growth.
- [Blexr](https://173tech.com/blexr/) - How Blexr partnered with 173tech to integrate Routy data into Redshift, unify affiliate reporting, and gain end-to-end visibility of the customer journey.
- [Rebrandly](https://173tech.com/rebrandly/) - Product Intelligence Product analytics tracking billions of links Objective Build a modern, scalable analytics foundation that centralises product, marketing, and revenue data. Obstacle Rebrandly faced significant data infrastructure challenges that limited their ability to generate reliable insights. Outcome A fully modernised, automated analytics stack, complete with unified models for product and marketing data. Background Rebrandly
- [Routine](https://173tech.com/routine/) - 173tech built Routine's analytics infrastructure from scratch in 6 weeks, designing tracking for features before they existed. 50+ metrics, 4 dashboards, future-ready.
- [Cinobo](https://173tech.com/cinobo/) - 173tech built Cinobo's subscription analytics in 4 weeks: 5-level hierarchy tracking, MRR/ARR automation, promotional attribution, multi-currency support.
- [Musely - Lifetime Value](https://173tech.com/musely-lifetime-value/) - How 173tech analysed Musely's customer cohorts, modelled 5-year LTV, and identified $800k in cross-sell revenue hidden inside their existing subscriber base.
- [Carista - cross-channel marketing](https://173tech.com/carista-cross-channel-marketing/) - How 173tech built Carista's cross-channel marketing attribution and uncovered a 13% revenue discrepancy that was hiding in their subscription data.
- [Carista - App & Hardware Analytics](https://173tech.com/carista-app-hardware-analytics/) - How 173tech connected Carista's Amazon hardware sales and ad performance across five markets into a single dashboard, in four weeks.
- [Cohort Analysis: LTV Over Time](https://173tech.com/cohort-analysis-ltv-over-time/) - Learn how cohort analysis reveals lifetime value over time, uncovering hidden differences by channel, timing and behaviour to drive smarter growth decisions.
- [How Messaging Impacts Subscribers](https://173tech.com/how-messaging-impacts-subscribers/) - Learn how communication strategy, retention messaging, and experience optimisation increase LTV — and how subscription businesses can systemise it.
- [Economic Forces  Affecting LTV](https://173tech.com/economic-forces-affecting-ltv/) - Future-proof subscription LTV by modelling economic sensitivity: identify which customers are price-sensitive, resilient, or vulnerable to market shifts and competition.
- [Measuring, Monitoring & Improving LTV](https://173tech.com/measuring-monitoring-improving-ltv/) - Unlock hidden growth by treating lifetime value as a dynamic metric: systematically measure, monitor, and improve it to drive retention, revenue, and competitive advantage.
- [Turning Platform Data Into Competitive Advantage](https://173tech.com/turning-platform-data-into-competitive-advantage/) - Platform data is your hidden competitive advantage. Learn how to turn cross-customer intelligence into data products that customers will actually pay for.
- [Digital Science](https://173tech.com/digital-science/) - 173tech identified millions in ARR opportunity for Digital Science by mapping funnel conversion, churn risk and revenue attribution across a fragmented data stack
- [Connectd Matching Algoirthm](https://173tech.com/connectd-matching-algoirthm/) - 173tech ran a full data discovery to design a three-stage matching architecture built on clean, structured, taxonomy-aligned data.
- [Understanding Pricing Data](https://173tech.com/understanding-pricing-data/) - Pricing fails not because the strategy is wrong, but because the data systems behind it aren’t built for change. Learn why effective pricing requires a robust, flexible data foundation.
- [Which Customer Characteristics Actually Drive Lifetime Value](https://173tech.com/which-customer-characteristics-actually-drive-lifetime-value/) - Predict lifetime value from early customer behaviour to optimise campaigns faster, cut wasted spend, and scale acquisition based on outcomes, not delayed cohort data.
- [Digital Ventures](https://173tech.com/digital-ventures/) - Digital Ventures had an internal data team but no insight. 173tech reviewed their infrastructure, identified £267k in annual savings, and built a roadmap to take them from 9.8% to 15% growth.
- [Built on AI, Proven by Data](https://173tech.com/built-on-ai-proven-by-data/) - This panel brings together a founder building in the AI-native space, the investor backing them, a technologist on data tooling and infrastructure, and the team that turns behavioural data into product decisions.
- [5 Tips for Setting Up a Data Clean Room to Measure Provider Impact](https://173tech.com/5-tips-for-setting-up-a-data-clean-room-to-measure-provider-impact/) - Practical guide to setting up data clean rooms for measuring provider sales impact. Learn matching strategies, incrementality testing, and governance essentials
- [Taking Control Of Your Marketing Attribution](https://173tech.com/taking-control-of-your-marketing-attribution/) - As privacy intensifies and algorithms assume decision‑making, reliance on platform-reported metrics can mislead. To thrive in this changing environment, you must reclaim control by owning your data and building a first‑party‑driven attribution process.
- [The Data You Cannot Get From Stripe](https://173tech.com/the-data-you-cannot-get-from-stripe/) - Stripe handles payments, but only a data warehouse reveals true revenue, LTV, churn, margins, pricing impact, and customer insights for growth.
- [Thrive DX](https://173tech.com/thrive-dx/) - 173tech's work streamlining the data pipeline and processes for ThriveDX reduced cost by 92% and saw significant marketing gains.
- [BlueMatrix](https://173tech.com/bluematrix/) - 173tech helped BlueMatrix turn millions of daily engagement events into a client-facing data product in 8 weeks, driving savings and new revenue.
- [Carista](https://173tech.com/carista/) - Carista sought to centralise and enhance their data capabilities to optimise customer insights and subscription strategies.
- [SimplifyVMS](https://173tech.com/simplifyvms/) - SimplifyVMS wanted to enhance the reporting function offered to clients by providing them with 100% customisation of their own dashboards and the ability to drag-and-drop bespoke reports. This meant setting up multi-tenancy infrastructure and bespoke modelling pipeline for each individual client – without costs ballooning.
- [Aligning Revenue Metrics To Customer Value](https://173tech.com/aligning-revenue-metrics-to-customer-value/) - Revenue metrics in subscription businesses reflect lagging customer value signals; understanding usage and perception early helps prevent churn and drive growth proactively.
- [AMBOSS](https://173tech.com/amboss/) - 173tech implemented new analytics processes and governance to safeguard AMBOSS' data engineering team saving over $175k on resources in just 6 months.
- [Treatwell](https://173tech.com/treatwell/) - 173tech used data to optimise marketing strategies and improving targeting for Treatwell, reducing their cost per conversion by 36%.
- [ablefy](https://173tech.com/ablefy/) - 173tech Built from the ground up: a data ecosystem turning Ablefy’s customer journey into a predictive, insight-driven growth engine.
- [Numan](https://173tech.com/numan/) - 173tech delivered a future-proof data platform in 3 months, integrating 8 sources and driving 5+ years of insight-led growth for Numan.
- [Kuda Bank](https://173tech.com/kuda-bank/) - We centralised Kuda Bank's marketing and advertising data and created accurate campaign performance predictions from day one.
- [Heroes](https://173tech.com/heroes/) - 173tech built a bespoke data stack for Heroes, centralising reporting across 20+ eCommerce brands with unified, granular performance insights.
- [Marketer's Wish List​](https://173tech.com/marketers-wish-list/) - From attribution to churn risk, here’s the marketing wish list every growth team needs, and how data can make it a reality.
- [Subscription Data: Mistakes To Avoid](https://173tech.com/subscription-data-mistakes-to-avoid/) - Avoid common subscription data mistakes: build a clean, auditable foundation to track MRR, churn, LTV, and customer transitions accurately.”
- [The Metrics You Cannot Get from Google Ads](https://173tech.com/the-metrics-you-cannot-get-from-google-ads/) - Here are the seven essential metrics you cannot get from Google Ads alone, but can unlock once you connect and enrich your data.
- [Which Subscription Metrics Matter](https://173tech.com/which-subscription-metrics-matter/) - Focus on what drives sustainable growth, not vanity metrics. This guide shows subscription business which metrics really matter and why.
- [Mobile Subscription Metrics That Matter](https://173tech.com/mobile-subscription-metrics-that-matter/) - A deep guide to the metrics that truly drive mobile subscription growth; conversion, retention, lifetime value, platform differences, and monetisation strategy.
- [The Complexity Of App Subscriptions](https://173tech.com/the-complexity-of-app-subscriptions/) - App-store subscriptions seem simple but quickly break: limited data, poor visibility cripple metrics, support, and growth. Proper infrastructure is essential.
- [Core Principles of Subscription Data](https://173tech.com/core-principles-of-subscription-data/) - Accurate subscription metrics depend on a clean data foundation; customers, plans, transactions, and events drive reliable MRR, churn, LTV, and CAC.
- [Subscription Data: Best Practices](https://173tech.com/subscription-data-best-practices/) - For Subscription businesses, Investing early in data discipline gives you sharper insights, quicker decisions, and a structural advantage as you scale.
- [Data Extraction: Best Practices](https://173tech.com/extracting-data-best-practice/) - Extracting data can often seem like a simple step. Sometimes its only a click of a few buttons, but there in lies the danger. If you haven't put careful thought about what data you really need, your downstream costs will only grow.
- [Measuring Willingness To Pay](https://173tech.com/measuring-willingness-to-pay/) - Discover why SaaS price elasticity isn’t a single number and learn how segment-level insights drive smarter pricing that captures value and growth.
- [How To Do  Pricing Experiments](https://173tech.com/how-to-do-pricing-experiments/) - Learn how to run pricing experiments that drive real growth. Avoid common pitfalls, design meaningful tests, and make smarter pricing decisions with data.
- [The Data You Cannot Get From Adapty](https://173tech.com/the-data-you-cannot-get-from-adapty/) - Adapty offers strong subscription insights, but deeper attribution, profitability, and customer value metrics require a data warehouse. Learn the seven gaps Adapty can’t fill.
- [Advanced Analytics For Subscriptions](https://173tech.com/advanced-analytics-for-subscriptions/) - This guide explains how advanced analytics, automation, and data foundations reshape subscription growth—and how 173tech helps companies build them.
- [Fyxer.ai](https://173tech.com/fyxer-ai/) - FyxerAI was previously reliant on Stripe, spreadsheets, and Chart Mogul, their reporting lacked consistency and depth. To modernise their analytics, Fyxer partnered with 173tech for a project focused on building a scalable data stack, defining core metrics, and delivering cross-functional dashboards.
- [Octopus Legacy](https://173tech.com/octopus-legacy/) - 173tech migrated 2,000 dashboards from Looker Studio to Metabase for Octopus Legacy, cutting manual updates and saving significant time.
- [Bloom](https://173tech.com/bloom/) - We created a data stack and implemented dynamic segmentation for over a million app users for Bloom Therapy.
- [Fair HQ](https://173tech.com/fair-hq/) - 173tech set up a multi-tenancy set up with self-serve dashboards for FairHQ DEI platform whilst keeping costs low.
- [PincusCo](https://173tech.com/pincusco/) - 173tech embedded metabase dashboards into this SaaS product with permissioning for different subscriber levels for PincusCo.
- [Playbook](https://173tech.com/playbook/) - 173tech's data modelling helped Playbook understand complex B2B2C relationships and gain key insights on their business operations.
- [Wonderbly](https://173tech.com/wonderbly/) - We migrated Wonderbly from Kleene to their own data stack, saving them £2K+ monthly and meaning they had 100% ownership over their data.
- [MeUndies](https://173tech.com/meundies/) - 173tech implemented granular marketing analytics across google and facebook advertising with a direct link to shopify orders for MeUndies.
- [Customer Behaviour Dashboard Example](https://173tech.com/customer-behaviour-dashboard-example/) - customer behaviour data dashboard example
- [Momentary Ink](https://173tech.com/momentary-ink/) - Shopify’s basic reports were holding Momentary Ink back. With 173tech’s tailored data infrastructure, the brand gained one source of truth, unlocking deeper insights and driving eCommerce growth.
- [Petlab](https://173tech.com/petlab/) - 173tech cut Petlab’s CAC by $3.5M by centralising, modelling, and activating marketing data — driving smarter, scalable growth.
- [Pure Dating](https://173tech.com/pure-dating/) - Flexible data engineering support for Pure. 173tech reduced technical debt, optimised queries, and centralised data for scalable growth.
- [Data Pipelines: Key Considerations, ROI & Recommended Tools](https://173tech.com/data-pipelines-recommended-tools/) - Learn from 173tech how to design a cost-effective data stack. Discover the best tools and strategies to deliver real ROI from data.
- [BorrowMyDoggy](https://173tech.com/borrowmydoggy/) - 173tech helped BorrowMyDoggy centralise their data and model customer behaviour, uncovering insights that boosted subscriber retention by 39% in just 16 weeks.
- [Peppa Pig](https://173tech.com/peppa-pig/) - 173tech built a global data stack for World of Peppa Pig, linking user behaviour to lifetime value. We delivered insights that drove subscriptions and growth across eight markets.
- [Inner Circle](https://173tech.com/inner-circle/) - 173tech built a scalable, future-proof data stack for Inner Circle, a premium dating app. We delivered Snowflake-based infrastructure, core reporting, and £34k in savings, all within 12 weeks.
- [Fitafy](https://173tech.com/fitafy/) - 173tech partnered with Fitafy to integrate Meta, TikTok and Google Ads data into one central source of truth. We unlocked smarter spend decisions and a 45% drop in CAC.
- [Picnic](https://173tech.com/picnic/) - Discover how 173tech powered a social media startup’s growth with automated reporting and data-driven insights helping them refine their product and raise $2.75M.
- [Smitten](https://173tech.com/smitten-dating/) - Smitten’s talented team had the insights—but not the infrastructure. 173tech built a scalable data stack delivering fast, reliable, and trusted reporting.
- [iRock](https://173tech.com/irock/) - Mapping out the customer journey for iRock, so they can provide more music lessons for more children.
- [La Fosse](https://173tech.com/la-fosse/) - La Fosse is a leading recruitment firm who company faced challenges in achieving full data democratisation across its systems and teams.
- [WashClub](https://173tech.com/washclub/) - By integrating first-party data and building predictive LTV models, 173tech helped Washclub reduce Cost Per Conversion by 72%
- [Work.Life](https://173tech.com/work-life/) - We built automated reporting for Work.Life, unifying data across all locations to deliver real-time insight into operations and performance.
- [Mubi](https://173tech.com/mubi/) - 173tech enabled MUBI to connect film performance and engagement metrics with subscriber behaviour, revealing key insights behind audience growth and revenue.
- [Heights](https://173tech.com/heights/) - 173tech built a centralised data stack for Heights, automating reports for 8,000+ investors and fully eliminating manual reporting processes.
- [Founders Circle Capital](https://173tech.com/founders-circle-capital/) - 173tech built a bespoke investment benchmarking tool for Founders Circle Capital, assessing performance across 5,000+ public and private companies.
- [Plend](https://173tech.com/plend/) - How 173tech helped Plend merge open banking & credit bureau data, cutting defaults and funding £8m in fairer loans with scalable infrastructure.
- [Connectd](https://173tech.com/connectd/) - “73tech helped Connectd embed scalable, cost-efficient dashboards with modelled data, giving 5,200+ users real-time insights at their fingertips
- [Hugosave](https://173tech.com/hugo-save/) - 173tech built Hugosave a scalable data stack, segmenting 25k+ investors’ irregular behaviours into actionable insights and real-time alerts.
- [Data Salary Review 2026 Survey](https://173tech.com/data-salary-review-2026-survey/) - Data Salary Review2026 173tech’s Data Salary Review offers data professionals key insights into salary trends, market demand, and emerging skill gaps, helping them navigate career growth and compensation expectations with confidence. For 2026 we need your help! Fill in the survey below and contribute anonymously to the review and if you have any pearls of wisdom
- [Lessons On Building Fast & Right](https://173tech.com/lessons-on-building-ai/) - AI startups must think about data from day one—start with minimum viable data, build on scalable platforms, and grow insights as you scale.
- [Data Leader's Wish List​](https://173tech.com/data-leaders-wish-list-2/) - Discover the top wishes of Heads of Data; from fixing pipelines to faster insights, and how 173tech helps turn them into reality.
- [Founder's Wish List​](https://173tech.com/founders-wish-list/) - From investor updates to predictive insights, here’s the founder’s data wish list — and how to turn it from frustration into confidence.”
- [Investors Wish List​](https://173tech.com/investor-wish-list/) - In this article we dig into common complaints from investors we talk with, what they wish for and how we can make these wishes can be made a reality.
- [Investor Dashboard Setup](https://173tech.com/investor-dashboard-setup/) - Investor Dashboard Set Up Questionnaire
- [Data Salary Review 2026 Survey](https://173tech.com/data-salary-review-2026-survey-2/) - Data Salary Review2026 173tech’s Data Salary Review offers founders key insights into salary trends, market demand, and emerging skill gaps, helping them navigate hiring and compensation expectations with confidence. For 2026 we need your help! Fill in the survey below and contribute anonymously to the review and if you have any pearls of wisdom to pass
- [Choosing The Right Data Initiatives](https://173tech.com/choosing-the-right-data-initiatives/) - This deep dive takes you through the entire process of gathering and evaluating data ideas. These recommendations can then form part of a wider data roadmap giving a clear overview to your organisation on what data has accomplished and how.
- [8 Tips To Avoid Business Intelligence Debt​](https://173tech.com/8-tips-to-avoid-business-intelligence-debt/) - Would you spend an extra £50 today to save £10,000 in a few years time? On paper you would imagine that most people would say yes, but the reality is different.
- [4 Mistakes Founders Make When Implementing Data](https://173tech.com/4mistakesfoundersmakewithdata/) - For other half a decade we have been advising founders just like you on how to get the most out of data. Here are some common mistakes they have made, so you don't have to.
- [scaleups2](https://173tech.com/data-extraction-best-practices/) - How Scaleups Can Leverage Analytics Getting a company off the ground can be a roller coaster ride! In the first couple of years, you have convinced investors, built an amazing product and established a large customer base that absolutely loves your offerings. Now you are wondering, what will trigger the next big inflexion point to
- [Build Fast & Build Right](https://173tech.com/build-fast-build-right/) - Together with Google Cloud and 173tech, HV Capital is hosting a no-fluff after-work session to explore how early-stage teams, from pre-seed to Series A, can lay the right data and infrastructure foundations from day one.
- [Driving Outcomes Through Data-Driven Processes](https://173tech.com/data-driven-processes/) - How do you align behaviours, map processes and find key data points to track along your customer journey.
- [Moving Beyond Shopify Analytics](https://173tech.com/moving-beyond-shopify-analytics/) - Moving Beyond Shopify Analytics Every eCommerce business is looking to attract loyal customers and grow their share of wallet. Most recognise that the more they know about their customers, the better they can serve them and the more profitable they will be. In fact according to Forbes: “customer-centric companies are 60% more profitable” than their
- [Sales Dashboard Example](https://173tech.com/sales-dashboard-example/) - This is an example of a sales dashboard created in Metabase by 173tech.
- [Marketing Dashboard Example](https://173tech.com/marketing-dashboard-example/) - This is an example of a marketing dashboard created in Metabase by 173tech.
- [Subscription Dashboard Example](https://173tech.com/subscription-dashboard-example/) - This is a great example of a subscription dashboard created in Metabase by 173tech.
- [Data Analyst Role](https://173tech.com/data-analyst-role/) - As a Data Analyst, you’ll work closely with dynamic client teams, helping to shape data strategies, build efficient data models, and uncover insights that directly influence growth and profitability.
- [Best Practices: Data Stack](https://173tech.com/best-practices-data-stack/) - Best Practices: Data Stack A data stack is a collection of tools and technologies that work together to collect, store, process, and analyse data across an organisation. It forms the foundation of modern data infrastructure, enabling teams to turn raw data into actionable insights. As an impartial agency, we recommend tools based on scalability, integration ease,
- [Surprise Findings On Data Salaries](https://173tech.com/surprise-findings-on-data-salaries/) - Surprise Findings On Data Salaries 173tech’s Data Salary Review offers data professionals key insights into salary trends, market demand, and emerging skill gaps, helping them navigate career growth and compensation expectations with confidence. We scraped data from 23 tech hubs from across Europe and the Americas to find, well, some quite unexpected results! Full Review
- [How Scaleups Can Leverage Analytics](https://173tech.com/how-scaleups-can-leverage-analytics/) - How Scaleups Can Leverage Analytics Getting a company off the ground can be a roller coaster ride! In the first couple of years, you have convinced investors, built an amazing product and established a large customer base that absolutely loves your offerings. Now you are wondering, what will trigger the next big inflexion point to
- [Bridging The Operational Gap](https://173tech.com/bridging-the-operational-gap/) - Discover how to bridge the gap between data teams and operational units to drive real business impact. Learn key strategies to foster collaboration, set clear objectives, and build a data-driven culture.
- [Data - Value?](https://173tech.com/data-value-event/) - Join our panel discussion to explore bridging the gap between data and value, plus enjoy pizza! Join us in person on Thursday 20th March 6pm at Fora Borough High Street.

## Pages

- [173tech Data Agency](https://173tech.com/) - Data-driven growth made simple. 173tech transforms your data into clear insights and smarter decisions that accelerate business success.
- [Product Intelligence](https://173tech.com/product-intelligence/) - Product Intelligence You have event logs, session recordings, funnel reports. What you do not have is a clear picture of why users behave the way they do, and what to do about it. Book a call Your team builds features with uncertain impact. You are unsure which features people will pay for. You cannot compare
- [Data Products](https://173tech.com/data-products/) - Data Products The most valuable thing you can build right now is not another feature. It is intelligence; embedded in your product, trained on your data, and compelling enough that customers cannot imagine operating without it. Book a call You collect data but monetise a fraction of it. Your AI initiatives lack structured data for
- [Revenue Intelligence](https://173tech.com/revenue-intelligence/) - Marketing Intelligence You are not short of customer data. You are short of marketing intelligence. We connect your channels, unify your attribution, and surface the signals that tell you where to invest next. Book a call You are spending more to acquire the same customer Your ad platform optimises its own revenue, not yours Your
- [Knowledge Base](https://173tech.com/knowledge-base/) - Knowledge base Timeline: 4 weeks + Investment: £24,000+ All projects fully scoped beforehand. 173tech improves customer acquisition through data. We help you centralise your marketing channels, uncover performance drivers, and optimise algorithms. Book A Call Subscription Data Customer Acquisition Lifetime Value Revenue Intelligence Implementing Analytics Industry Reports We identified $47k of annual savings on Musely's
- [Join Our Newsletter](https://173tech.com/join-our-newsletter/) - Join The Newsletter If you want to know about analytics, you came to the right place. Subscribe for useful tips on turning Data into a business driver!
- [About Us](https://173tech.com/about-us/) - Learn more about 173tech, helping businesses unlock growth through innovative data solutions. Meet our expert team and see how we can transform your business.
- [Marketing Analytics](https://173tech.com/marketing-analytics/) - Boost your customer acquisition strategy with data-driven insights. Optimise your marketing efforts and attract the right customers to drive business growth.
- [Case Studies](https://173tech.com/case-studies/) - We have been using data to accelerate growth for the likes of MeUndies, Plend Loans, Wizards of the coast, MUBI and many more. Check out our case studies.
- [Testimonials](https://173tech.com/testimonials/) - We have been using data to accelerate growth for the likes of Fyxer.ai, Rabot Energy, Smitten Dating, Numan and many more. Check out our testimonials.
- [Book A Call](https://173tech.com/book-a-call/) - Book a free consultation with 173 Tech’s data friendly team to unlock powerful insights and drive growth. Schedule your call today!
- [AI Maturity Assessment](https://173tech.com/ai-maturity-assessment/) - Is Your Data AI Ready? AI won’t fix your data problems. It will amplify them. Discover if your business is ready to get real value from AI. overview The Hard Truth Every boardroom wants AI to unlock faster decisions, smarter insights, and measurable growth. But here’s what is not being said: weak data foundations do
- [Customer Behaviour](https://173tech.com/customer-behaviour/) - Understand your customers better with data-driven insights on behavior. 173tech helps you analyse customer patterns to improve engagement and boost conversions.
- [Add More Data](https://173tech.com/add-more-data/) - Enhance your analytics with more data sources. 173tech helps you integrate and unify data for deeper insights and smarter decisions.
- [Data Launcher](https://173tech.com/data-launcher/) - Get your data infrastructure up and running fast with 173tech’s Data Launcher. Set up a scalable, analytics-ready data stack tailored to your business needs.
- [Data Roadmap](https://173tech.com/data-roadmap/) - Build a clear, actionable data roadmap with 173tech. Align your data strategy with business goals, unlock insights, and drive growth.
- [Tool Audit](https://173tech.com/tool-audit/) - Optimise your data stack with a comprehensive tool audit from 173tech. Identify gaps, improve efficiency, ensure you're using the best tools for your business.
- [Data Workshops](https://173tech.com/data-workshops/) - Discover high ROI data initiatives with expert-led workshops from 173tech. Learn how to harness data for better decision-making and business growth.
- [Data Implementation](https://173tech.com/data-implementation/) - 173tech's experienced team create data pipelines, centralise data and creating bespoke analytics - all without the need for headcount.
- [Data Strategy](https://173tech.com/data-strategy/) - Take a shortcut. Tap into our decades of experience in growing with data. Ensure you have the right tools, team and initiatives in place. See a faster return from data.
- [Google Investor Dashboard](https://173tech.com/google-investor-dash/) - Investor Dashboard From manual reporting chaos to polished dashboards in one week. Live demo Our investor report dashboard is designed to give investors exactly what they want: fast, clear, and reliable insights. By eliminating delays and manual errors, it ensures investors receive accurate updates in real-time or on a consistent schedule. The result? Stronger relationships,
- [Client onboarding](https://173tech.com/onboarding/) - WelcomeAboard We are so excited to work with you!
- [Candice Ren](https://173tech.com/candice-ren/) - Meet Candice Ren, founder of 173tech, a leader in data consulting and innovation. Learn about her expertise in driving business growth through actionable data insights.
- [investor dash](https://173tech.com/investor-dashboard/) - Monthly Investor Dashboard Streamline internal operations and strengthen investor confidence through more transparent and timely updates. Timeline: Up & Running in just one week Investment: £10,000 set cost- 40% discount for Partners Live demo FAQs book a call Our Investor Dashboard is designed to give investors exactly what they want: fast, clear, and reliable insights.
- [investor partners](https://173tech.com/investor-partners/) - Investor Partnerships At 173tech, we partner with leading investors to accelerate the success of their portfolio. We bring deep expertise in analytics & growth, helping founders unlock clarity, drive performance, and build scalable businesses. book a call At 173tech, we help ambitious companies turn data into a competitive advantage. By partnering with investors, we provide
- [Your Fractional Data Team To Drive Growth](https://173tech.com/new-home2/) - 173tech is a London-based analytics agency that helps growing businesses worldwide leverage data. Working with us is effortless – wake up, log in, and instantly tap into a full data team at your fingertips.
- [Instructor-Led Metabase Training](https://173tech.com/metabase-training/) - All data products are ultimately fruitless unless people use them! Metabase is a very intuitive BI tool but it is not without its quirks. Our one day essentials training is aimed at helping business users create their own questions, dashboards and ultimately self-serve analytics.
- [Metabase Partnership](https://173tech.com/metabase-partners/) - 173tech are proud to be the first official agency partner to Metabase and have been using the tool since 2019 for a wide range of clients.
- [Google Partnership](https://173tech.com/google-partnership/) - Google For Startups Program As a Certified Google Cloud Partner, 173tech enables startups to unlock the full potential of Google Cloud technologies and exclusive benefits, fast-tracking data capabilities and growth. GET IN TOUCH Scalable Data Solutions For Growing Businesses What do Fyxer AI, Numan, MUBI, MeUndies, and Treatwell have in common? They all embraced data
- [Jamie Gibson](https://173tech.com/jamie-gibson/) - Jamie is a mathematics graduate from Warwick and spent 2 years with Epic as a Technical Solutions Engineer focusing on troubleshooting live software issues for hospitals across Europe in the Nursing and Allied Health Professionals spaces.
- [Adrian Macias](https://173tech.com/adrian-macias/) - Meet Adrian Macias, VP of engineering at 173tech. Adrian sets up scaleable and cost-effective data pipelines for companies that stand the test of time.
- [Oliver Gwynne](https://173tech.com/oliver-gwynne/) - Meet Oliver Gwynne, an award-winning data strategist at 173tech, helping businesses ask the right questions, keeping projects on track and ensuring impact in every project.
- [Careers](https://173tech.com/careers/) - Join the 173tech team and be part of a shaping the future for our clients and working with a variety of clients to implement and grow their analytics maturity.
- [Ruben Scott](https://173tech.com/ruben-scott/) - Meet Ruben Scott, analytics lead at 173tech. Learn how his expertise helps clients unlock the full potential of their data, crunch big numbers and dig deeper into customer behaviour.
- [Oscar Borden](https://173tech.com/oscar-borden/) - Meet Oscar Borden, data engineer at 173tech helping clients to choose the right tools, set them up and optimising data stacks.
- [Emeric Bucaille](https://173tech.com/emeric-bucaille/) - Meet Emeric Bucaille, data analyst at 173tech. Emeric models data and creates dashboards in Power BI, Metabase and Tableau.
- [Mai Nguyen](https://173tech.com/mai-nguyen/) - Meet Mai Nguyen, data analyst at 173tech, and expert in creating performant data models which can crunch large volumes of data without incurring high costs to our clients.
- [Poppy Beer](https://173tech.com/poppy-beer/) - Poppy Beer is a data analyst at 173tech, helping clients choose the right KPIs, model and visualise their data.
- [Free Google Ads Review](https://173tech.com/google-ads-review/) - 173tech is offering a free review of your Google Ads account. Simply grant us access and we will send you a detailed report on where to improve.
- [Payment Confirmation](https://173tech.com/payment-confirmation/) - [simpay_payment_receipt]
- [Payment Failed](https://173tech.com/payment-failed/) - We're sorry, but your transaction failed to process. Please try again or contact site support.
- [Events](https://173tech.com/events/) - Check out the latest events from 173tech both in-person and online and sign up today to learn more about data.
- [Privacy Policy](https://173tech.com/privacy-policy/) - Privacy Policy Last update: 21st Feb 2025 Overview 173tech (“we,” “us,” or “our”) respects your privacy and is committed to protecting the personal information you provide to us. This Privacy Policy explains how we collect, use, and safeguard your information when you visit our website. Information We Collect We collect personal data in the following
- [Terms & Conditions](https://173tech.com/terms-conditions/) - Terms & Conditions for Numerique LLC Who we are Suggested text: Our website address is: numerique.vamtam.com Comments Suggested text: When visitors leave comments on the site we collect the data shown in the comments form, and also the visitor’s IP address and browser user agent string to help spam detection. An anonymized string created from

## My Templates

- [Page - Services](https://173tech.com/?elementor_library=page-services) - Marketing Intelligence You are not short of customer data. You are short of marketing intelligence. We connect your channels, unify your attribution, and surface the signals that tell you where to invest next. Book a call You are spending more to acquire the same customer Your ad platform optimises its own revenue, not yours Your
- [before after](https://173tech.com/?elementor_library=before-after) - Creating Value Rising customer acquisition costs with fuzzy returns on paid media. Implement refined targeting by tapping into your first-party data. Limited visibility of customer journeys across all your channels. Map, capture and analyse customer interactions across all touchpoints. Targeting first purchases wastes your budget on low-value users. We analyse customer lifetime value by acquisition
- [Home](https://173tech.com/?elementor_library=home) - Welcome to RoxCare Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo. Ut elit tellus, luctus nec ullamcorper mattis. Service Available 0 /7 Consult Online Doctors Lorem ipsum dolor sit amet, consectetur adipiscing elit. Health Insights Lorem ipsum dolor sit amet, consectetur adipiscing elit. Start A
- [PAGE - blog](https://173tech.com/?elementor_library=page-blog) - Aligning Revenue Metrics To Customer Value BOOK A CALL Revenue performance is a lagging signal, customer value is the system you need to measure. Signal Revenue metrics are lagging indicators of customer value, and on their own they mask emerging risk and uneven growth. Stakeholders Founders, CFOs, RevOps, Product and Customer Success leaders responsible for
- [PAGE - case study](https://173tech.com/?elementor_library=page-case-study) - Data Launcher A revenue-ready data product in 8 weeks Objective Track complex subscriber lifecycles, multi-level revenue metrics, and promotional campaign effectiveness. Obstacle Cinobo lacked the infrastructure to accurately track subscriber behaviour across their complex business model. Outcome Comprehensive dashboards revealing subscriber lifecycle patterns, revenue trends, and cohort-based retention metrics. Background Cinobo is a leading streaming
- [blog bottom](https://173tech.com/?elementor_library=blog-bottom) - SubscriptionData Core Principles Of Subscription Data The Complexity Of App Subscriptions Subscription Data: Best Practices Mobile Subscription Metrics That Matter Which Subscription Metrics Matter Freemium & Free Trials For Subscriptions
- [Footer](https://173tech.com/?elementor_library=elementor-footer-1332) - Content area
- [selling two](https://173tech.com/?elementor_library=selling-two) - Increase Lifetime Value Stop focusing on first orders. Start compounding value. Use data to identify upsell paths, retention levers, and high-LTV cohorts. More revenue. Deeper loyalty.
- [selling one](https://173tech.com/?elementor_library=selling-one) - Maximise Marketing ROI Stop Guessing. Start Growing. We go beyond clicks and impressions to uncover which channels, messages and moments drive real, valuable customers. Lower CAC. Higher LTV.
- [newproblems](https://173tech.com/?elementor_library=newproblems) - Creating Value No clear roadmap towards AI leads to scattered efforts and waste. An actionable plan with clear steps, big impact and realistic timeframes. Analytics can be a big upfront investment with fuzzy outcomes and many pitfalls. Prioritise the right initiatives and use your time and resources effectively. Costly missteps often come simply from a
- [lightblue case](https://173tech.com/?elementor_library=lightblue-case) - We identified $47k of annual savings on Musely's tech stack. We supported Numan through the next five years of growth. We helped the Smitten team closely link data initiatives to growth.
- [large case studies](https://173tech.com/?elementor_library=large-case-studies) - Our pipeline still stands half a decade later Created a data product to make investment easy Doubled customers & reduced spend
- [lasthead](https://173tech.com/?elementor_library=lasthead) - Data Strategy Skip the guesswork. Use our decades of experience to get the right tools, people, and strategy in place, and see faster returns from your data. Book A Call
- [numbers new](https://173tech.com/?elementor_library=numbers-new) - Creating Value For Connectd... We modelled over 121 data points, For more than 5000 different companies, All updated automatically. WE CAN HELP YOU TOO
- [1contact](https://173tech.com/?elementor_library=1contact) - Get In Touch Our friendly team are always on hand to answer questions, troubleshoot problems and point you in the right direction.
- [selling points](https://173tech.com/?elementor_library=selling-points) - When You Own Your Data You Own Your Future Build Faster For Tomorrow We assign a full, multi-skilled team to every project, ensuring speed, quality, and seamless execution. 100% Ownership You fully own all technology and models we build, removing long-term dependency on us. Transparency On Cost Our work is fully scoped with clear timelines
- [chunky white](https://173tech.com/?elementor_library=chunky-white) - Subscription Creating a holistic view of the customer journey. Subscription Reduced Cost Per Conversion on Google Ads by 72% Apps Segmenting millions of users, automatically
- [chunky case studies](https://173tech.com/?elementor_library=chunky-case-studies) - SaaS Increased annual recurring revenue in just 6 months. D2C Creating a direct link from marketing to orders. Apps Segmenting millions of users, automatically.
- [homegta](https://173tech.com/?elementor_library=homegta) - Book A Call Expert help is only a call away. We are always happy to give advice, offer an impartial opinion and put you on the right track. Get in touch with a member of our friendly team today.
- [homehead](https://173tech.com/?elementor_library=homehead) - Unlock Exponential Growth With Your On‑Demand Impactful Fractional Data Team
- [teamaspect](https://173tech.com/?elementor_library=teamaspect) - Our Team Is Driven By Impact Build Faster For Tomorrow We assign a full, multi-skilled team to every project, ensuring speed, quality, and seamless execution. 100% Ownership You fully own all technology and models we build, removing long-term dependency on us. Transparency On Cost Our work is fully scoped with clear timelines and costs, with
- [1Newcontact](https://173tech.com/?elementor_library=1newcontact) - Get In Touch Our friendly team are always on hand to answer questions, troubleshoot problems and point you in the right direction.
- [++industries](https://173tech.com/?elementor_library=industries) - SaaS view D2C view Apps view Subscription view Finance view
- [++6ELEMENTS](https://173tech.com/?elementor_library=6elements) - BigQuery Centralise all your data and create one source of the truth. Vertex AI Innovate faster with enterprise-ready AI, enhanced by Gemini. Cloud Run Build apps or websites quickly on a fully managed platform. Datastream Change data capture (CDC) tool to extract data from relational databases real time. Dataflow A unified stream platform for both
- [++quotetext](https://173tech.com/?elementor_library=quotetext) - Tool Audit Benefit from 173tech’s in-depth knowledge of the latest and most reliable data tools, so you can make informed decisions without hours of product demos. We know that one size does not fit all. Every recommendation is tailored to your specific industry, business goals, and technical maturity. Find Out More
- [++dashboards](https://173tech.com/?elementor_library=dashboards) - Subscription Dashboard Marketing Dashboard Sales Dashboard
- [++contact](https://173tech.com/?elementor_library=contact-2)
- [++ROI](https://173tech.com/?elementor_library=roi) - COST SAVING Understanding your data sources can help us to recommend a cost-effective and scaleable data stack. Just like how we identified $47k annual savings for Musely. Long-Term Planning Our session may only be half a day but we can map out your data initiatives for the next few years. just like the roadmap which
- [++newprocess](https://173tech.com/?elementor_library=newprocess) - 1. Business Goals Purpose: Ensure the data strategy aligns with your business goals and growth objectives.Agenda:• Review of business model and objectives.• Analysis of growth goals and strategies (acquisition, product, monetisation).• Discussion of product and marketing roadmaps. 2. Customer Journey Purpose: Map the customer journey and associated data touchpoints.Agenda:• Step-by-step review of the customer journey (acquisition to
- [++4problems](https://173tech.com/?elementor_library=4problems) - Analytics can be a big upfront investment with fuzzy outcomes and many pitfalls. Prioritise the right initiatives and use your time and resources effectively. Costly missteps often come simply from a lack of in-house expertise. All sessions are led by senior experts with decades of real-world experience. Lack of clear KPIs and metrics that truly
- [++3boxes](https://173tech.com/?elementor_library=3boxes) - Strategic Alignment Ensure your data initiatives directly support your company’s core goals and commercial strategy. Just like we did for… Where we developed a comprehensive data roadmap. Customer Journeys Identify key customer interactions and where data is tracked, stored, and missing across systems. Just like we did for… Where we unpicked complex Learner journeys from
- [+++head](https://173tech.com/?elementor_library=head-3) - Free Google Ads Review By Award-Winning Strategist Unlock hidden performance. Cut wasted spend. Let Oliver Gwynne, former growth marketer turned data strategist, personally review your Google Ads account, free of charge. No strings attached. Just insights. Get Your Free Review Today
- [+++head](https://173tech.com/?elementor_library=head-2) - Friendly & Efficient 173tech empowers you to centralise, analyse and activate customer data, fast and effortlessly Wake up, log in, and instantly tap into a full data team at your fingertips Book A CALL
- [+salarylocations](https://173tech.com/?elementor_library=salarylocations) - UK London Manchester Edinburgh Cardiff Birmingham France Paris Marseille Lyon Germany Berlin Hamburg Munich Netherlands Amsterdam The hague Utrecht Eindhoven USA New York California Chicago Atlanta Boston Richmond Canada Toronto Montreal
- [+salarytext](https://173tech.com/?elementor_library=salarytext) - Overview Berlin attracts a diverse array of industries and companies that contribute to its dynamic data sector. The city’s tech landscape encompasses sectors such as information and communications technology, media, and creative industries. Berlin’s transformation from its “poor but sexy” era has seen a transformation where data roles have become increasingly prominent, a bustling startup scene
- [+slideshow](https://173tech.com/?elementor_library=slideshow) - “Demographics tell me who my customers are on paper, but not what drives them. Two customers with the same age and income can have completely different needs, and Shopify doesn’t help me figure that out.” Head of Product, Momentary Ink
- [Default Kit](https://173tech.com/?elementor_library=default-kit-2)
- [++gta](https://173tech.com/?elementor_library=gta-2) - Book A Call CALENDAR LINK Expert help is only a call away. We are always happy to give advice, offer an impartial opinion and put you on the right track. Book a call with a member of our friendly team today.
- [+quote](https://173tech.com/?elementor_library=quote) - Mai Nguyen, Data Analyst The team here is so friendly and open. Anyone can discuss and help on any project without fear of treading on someone’s shoes.
- [+blogtext](https://173tech.com/?elementor_library=blogtext) - Introduction A Simple Scenario…Imagine you are a valued customer at a luxury hotel chain, Five Seasons. You have just arrived in New York for an extended business trip. What happens next is pure magic: the moment you step in, the staff greets you by name, your favourite pillows are waiting in your room, and your
- [+blogmenu](https://173tech.com/?elementor_library=blogmenu) - Key Considerations Avoiding Non-Scalable Solutions How To Automate Frequency & Methods Cost Considerations Cost Condisserations
- [whatwedoboxes](https://173tech.com/?elementor_library=whatwedoboxes) - A Clear Data Strategy Ask the right questions. Choose the right tools. strategy Fast-Track Data Journey Build a robust pipeline. Self-serve your insights. Launcher Maximise Marketing ROI Optimise channel spend. Acquire high-LTV customers. Aquisition Decode Your Customers Analyse and predict LTV. Signal and prevent churn. behaviour
- [+contact](https://173tech.com/?elementor_library=contact) - Need An Extra Hand?
- [Header](https://173tech.com/?elementor_library=header) - Content area
- [Aboutus-tab4](https://173tech.com/?elementor_library=aboutus-tab4) - 173tech do not just disappear because the contract is over!We always keep the lines of communication open, and provide a very low-cost maintenance offer aimed at keeping everything we have built up and running, dealing with adhoc requests and answering questions.We genuinely hope that no client is reliant on us in the long-term, but this
- [Aboutus-tab3](https://173tech.com/?elementor_library=aboutus-tab3) - With the contract signed, we will be good to go! We conduct a weekly sync call through Google Meet for all major updates on the project. This is typically where most of our questions or clarifications are asked and so it is important that key stakeholders are involved. We then use Slack for adhoc questions and smaller
- [Aboutus-tab2](https://173tech.com/?elementor_library=aboutus-tab2) - The more information we can get on your project, the more accurate our pitch will be. As a general rule of thumb the more data sources you need to integrate, the longer the project, the higher the cost.We may need to dig into your data itself before we can give you a full timeline, in
- [tool audit 4](https://173tech.com/?elementor_library=tool-audit-4) - Tool Specific AuditWe also offer deep-dive audits focused on specific tools or areas of the data pipeline, such as:Maximising the Potential of MetabaseOptimising Data Warehouse Performance & CostEnhancing Data Modelling Efficiency in dbt Your Team: Stakeholders (Business & Technical) Your Time: 45 minute session Key Outcomes: Tailored recommendations
- [tool audit 3](https://173tech.com/?elementor_library=tool-audit-3-2) - 3. RecommendationsPurpose: Provide tailored recommendations for building or optimising your data stack.Agenda:• Suggest replacements or upgrades for existing tools where necessary.• Recommend tool options for teams setting up their stack for the first time.• Offer advice on tools suited to your business model, scale, and growth stage. Your Team: Stakeholders (Business & Technical) Your Time:
- [tool audit 3](https://173tech.com/?elementor_library=tool-audit-3) - 3. RecommendationsPurpose: Provide tailored recommendations for building or optimising your data stack.Agenda:• Suggest replacements or upgrades for existing tools where necessary.• Recommend tool options for teams setting up their stack for the first time.• Offer advice on tools suited to your business model, scale, and growth stage. Your Team: Stakeholders (Business & Technical) Your Time:
- [tool audit 2](https://173tech.com/?elementor_library=tool-audit-2) - 2. Gap AnalysisPurpose: Identify missing tools and areas for improvement in your data stack.Agenda:• Highlight gaps in your current tool stack for scalability and performance.• Compare existing tools against industry benchmarks and best practices.• Assess potential challenges and opportunities. Your Team: Minimal input needed Your Time: Adhoc questions Key Outcomes: Recommendations formed
- [tool audit 1](https://173tech.com/?elementor_library=tool-audit-1) - 1. Current State AssessmentPurpose: Evaluate existing data tools and processes within your overall tech ecosystem.Agenda:• Review the current tool stack and their functionalities.• Analyse how tools align with your business and data needs.• Identify pain points, inefficiencies, and underutilised tools. Your Team: Project Stakeholders (Business & Technical) Your Time: 45 minute overview session Key Outcomes:
- [Tab 1E](https://173tech.com/?elementor_library=tab-1d) - We are here to support you to adopt and adapt what we have built. We document everything to ensure that if/when you decide to hire, you have best practices already installed and can easily add to our work. After building your stack we can help you integrate more data sources, start to provide analysis on
- [Tab 1D](https://173tech.com/?elementor_library=tab-1c) - Once we have created your data models, they are then surfaced through automated reports and interactive dashboards. We go through a process of wireframing and approval to ensure each dashboard is fit for purpose but business users can also create their own drag-and-drop reporting and export the data they need with ease. We work with
- [Tab 1C](https://173tech.com/?elementor_library=tab-1b) - We transform your raw data into metrics, going through a process of extraction and cleaning until they are ready to be surfaced as data models. All data models we create undergo a process of peer review and data reconciliation to ensure accuracy.We always recommend working iteratively. We try and deliver value with every data source
- [Tab 1B](https://173tech.com/?elementor_library=tab-1a) - Once we understand your needs, we will recommend the right data tools for your bespoke needs. We focus on cost-effective solutions that scale. You 100% own all the technology, models & structure that we set up meaning no reliance on us long-term.We will set up and optimise the of analytics stack of tools along the
- [Tab 1A](https://173tech.com/?elementor_library=tabs-item-1-home-2) - We start off with a few sessions aimed at understanding your business model and current infrastructure to identify the gaps where data can make a difference. We map out your customer journey, different touchpoints, data volumes and KPIs. Your Team: Project Stakeholders (business & technical) Your Time: Two lots of 45 minute sessions typically Key
- [strat-tab3](https://173tech.com/?elementor_library=strat-tab3) - 3. Tool Stack Review & RecommendationPurpose: Assess the current tool stack and recommend improvements or new tools.Agenda:• Review existing data tools, their usage, and integration.• Highlight inefficiencies or missing components in the current stack.• Recommend tools and solutions aligned with your scale, industry, and goals. Your Team: Technical Lead Your Time: Just provide access to
- [strat-tab1](https://173tech.com/?elementor_library=strat-tab1) - 1. Stakeholder Interview & Strategy AlignmentPurpose: Align the data strategy with business goals and gather insights from key stakeholders.Agenda:• Conduct interviews with key stakeholders to understand objectives and challenges.• Identify alignment between business strategy and data priorities.• Define success metrics and strategic outcomes for the data roadmap. Your Team: Project Stakeholder, SME Lead Your Time:
- [strat-tab2](https://173tech.com/?elementor_library=strat-tab2) - 2. Customer Journey Deep-Dive & High-ROI Use CasesPurpose: Analyse the customer journey and uncover impactful data opportunities.Agenda:• Map the customer journey from acquisition to retention and lifetime value.• Identify data touchpoints and gaps along the customer journey.• Develop a list of high-ROI data use cases tailored to growth opportunities. Your Team: Technical Lead, Project Stakeholder
- [aquistion-tab4](https://173tech.com/?elementor_library=aquistion-tab4) - After we have automated your core metrics in dashboards, we can dig deeper into your data.Advanced modelling allows us to crunch big numbers and unpick complex relationships. Whether this is applying expected lifetime value to your ads or automatically segmenting your customers as soon as they have been onboarded, we can help.What’s more we can
- [aquistion-tab1](https://173tech.com/?elementor_library=aquistion-tab1) - Our first step is to understand your business model and customer journey in detail. What touchpoints do customers interact with? How is data currently collected? How do teams work together? This can help us to map out a clear implementation plan and understand which data will help you unlock the most value.We may also need
- [add more tab 4](https://173tech.com/?elementor_library=add-more-tab-4) - We are here to support you to adopt and adapt what we have built. We document everything to ensure that your internal team can easily add to our work. After your data is integrated and modelled to the gold standard we can conduct analysis to bring you fresh insights and ideas on what this new source
- [more-tab1](https://173tech.com/?elementor_library=more-tab1) - We start off with some short sessions with your team to understand which business problem you are trying to solve, what data is required, how frequently and any key definitions that might be unclear.From here we will draw up a modelling plan and begin integrating your data. Your Team: Project Stakeholders Your Time: 45 minutes
- [Aboutus-tab1](https://173tech.com/?elementor_library=aboutus-tab1) - The quickest and easiest way to start things off is by arranging a demo. In this short session, we will go through how we work, what we build and show a few examples. Then we will need to know:The business problem you are trying to solve.Which data sources you need to integrate.Any current data tools
- [strat-tab4](https://173tech.com/?elementor_library=strat-tab4) - 4. Prioritised Data RoadmapPurpose: Deliver a step-by-step plan for implementing the data masterplan.Agenda:• Summarise findings and recommendations from previous sessions.• Create a prioritised roadmap with key initiatives and timelines.• Define actionable steps for implementation and monitoring progress. Your Team: Project Stakeholder, Technical Lead Your Time: 1 Hour Session + Follow-Up Call
- [workshop-tab1](https://173tech.com/?elementor_library=workshop-tab1) - 1. Strategic AlignmentPurpose: Ensure the data strategy aligns with your business goals and growth objectives.Agenda:• Review of business model and objectives.• Analysis of growth goals and strategies (acquisition, product, monetisation).• Discussion of product and marketing roadmaps.
- [workshop-tab2](https://173tech.com/?elementor_library=workshop-tab2) - 2. Customer Journey Deep DivePurpose: Map the customer journey and associated data touchpoints.Agenda:• Step-by-step review of the customer journey (acquisition to lifetime value).• Identify current data being tracked and storage locations.• Highlight key opportunities and challenges in the customer journey.
- [workshop-tab3](https://173tech.com/?elementor_library=workshop-tab3) - 3. KPIs and Use CasesPurpose: Define success metrics and uncover advanced data opportunities.Agenda:• Review of existing KPIs, reporting, and data processes.• Identify a unique North Star metric and key contributing KPIs.• Explore high-ROI data use cases tailored to your business.
- [workshop-tab4](https://173tech.com/?elementor_library=workshop-tab4) - 4. Prioritised Data RoadmapPurpose: Deliver a clear, actionable plan for implementing your data strategy.Agenda:• Recap of key findings from previous sessions.• Design a prioritised roadmap for tools, processes, and key initiatives.• Outline next steps to implement the strategy.
- [Behave2](https://173tech.com/?elementor_library=behave2) - From here we will start an exploratory data analysis, most often focusing on the lifetime value of your customers. This analysis aims to input directly into your business decisions and highlight critical areas for growth. It also serves as the basis for us to then leverage machine learning to enact more complex models – allowing
- [Behave3](https://173tech.com/?elementor_library=behave3) - Building a machine learning model, such as churn prediction, involves several key steps. First, we gather and clean customer data, next, we explore the data to identify patterns and select relevant features. Then, we split the dataset into training and testing sets and choose an appropriate model. From here we now need to see how
- [Behave4](https://173tech.com/?elementor_library=behave4) - Building a machine learning model, such as churn prediction, involves several key steps. First, we gather and clean customer data, next, we explore the data to identify patterns and select relevant features. Then, we split the dataset into training and testing sets and choose an appropriate model. From here we now need to see how
- [Behave4](https://173tech.com/?elementor_library=behave4-2) - Training a machine learning model, involves selecting an appropriate algorithm and feeding it structured data to learn patterns. The dataset is split into training and validation sets to prevent overfitting. During training, the model adjusts its parameters to minimise error using techniques like gradient descent. We will then refine the parameters of the model such
- [Behave6](https://173tech.com/?elementor_library=behave6) - Activating a machine learning model, involves integrating it into a real-world system for making live predictions. The trained model is loaded into a production environment, often exposed via an API or embedded within business software. Incoming customer data is pre-processed to match the model’s training format before being fed into the model for inference. The
- [cs templates](https://173tech.com/?elementor_library=cs-templates) - “173tech’s Data Strategy Review was very comprehensive. It told me everything I needed to know, and a lot of elements I didn’t know I needed to know! They served up all the options and all I had to do was choose.” Ethan Gui, Co-Founder & VP Tech “Great communication, good outputs, really liked interaction with
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- [*top header](https://173tech.com/?elementor_library=top-header) - overview
- [*heads](https://173tech.com/?elementor_library=heads) - Crunching big data The 173tech team augments busy teams to help centralise, analyse and activate data from across the customer journey. We are pragmatic in our approach and focus on delivering value in everything we do. Send
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- [*Bloglinks](https://173tech.com/?elementor_library=bloglinks) - Blog Think further with our expert insights March 2026 March 2026 March 2026
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- [*Success Stories](https://173tech.com/?elementor_library=success-stories) - Success Stories Our work drives businesses forward View all
- [Three Boxes](https://173tech.com/?elementor_library=three-boxes) - Better audiences Our proprietary solution leverages an in-house database of 260M+ customers and 2,000+ custom variables to build custom predictive models to drive business growth — from only the best customers. Better analytics Our proprietary solution leverages an in-house database of 260M+ customers and 2,000+ custom variables to build custom predictive models to drive business
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- [Single Succes Story – Page Content](https://173tech.com/?elementor_library=single-succes-story-page-content) - Looking to enhance their online presence and boost their SEO performance, Zara enlisted the help of Numerique. Our team worked closely with this top-tier B2B brand to develop and implement a comprehensive online strategy, resulting in significant revenue growth. About Single Succes Story – Page Content Zara is a Spanish clothing and fashion company founded
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- [Blog - Single Post](https://173tech.com/?elementor_library=blog-single-post) - May, 2023 Blog – Single Post The Data You Cannot Get From Klaviyo BOOK A CALL Klaviyo is one of the most widely used tools for email and SMS marketing. Its native reporting is great for campaign managers, but it stops short when you need deeper insights into attribution, profitability, and customer value. Here are
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- [Loop Stories - Home 2](https://173tech.com/?elementor_library=elementor-loop-item-4) - Loop Stories – Home 2 Read the Success Stories
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- [Loop Blog](https://173tech.com/?elementor_library=elementor-loop-item-2) - May 2023 Loop Blog
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