Skip to main content

Budgeting apps - A red ocean looking for a market


In August 2019, I wrote a blog post on PFM tools called "PFM, BFM, Financial Butler, Financial Cockpit…​ - Will the cumbersome administrative tasks on your financials finally be taken over?". Since then, driven by the go-live of PSD2 and Open Banking APIs, numerous Fintechs are developing new solutions acting as your personal financial butler. As most of the Fintechs focus on managing your financial budget, the name "Budgeting-app" is used more and more.
Dozens of examples of such apps already exist in the market (such as Dyme, Mint, YNAB, Monny, PocketGuard, Cake, Yolt, Emma, Oval Money, Cleo, Buddy, Spendo, Roov, Pocket Buget, Money Pro, SayMoney…​) making the market a red ocean, where competition is fierce.
At the same time banks are also providing more and more account aggregation and budgeting features in their banking-app, making it hard to convince customers to manage their finances in a third-party app. Especially now that specialized firms, like Tink, Strands, Personetics…​ offer packaged, white-labelled solutions to financial institutions, the barrier for banks to provide a compelling experience is not that high anymore.
For 3rd party apps to still convince customers (and create their own blue ocean), they should look for new innovative use cases, beyond the traditional functionalities like:
  • Account aggregation (allowing to collect information on all income & expense transactions)
  • Categorization of transactions (including data cleaning)
  • Reporting (spending per category, cash flows past and future predictions…​)
  • Management of budget plans and saving goals
  • Identification of recurring expenses (and tracking increases or reductions over time)
  • Automatic saving of excess money
  • Comparisons with people like me, previous periods…​
  • Suggestions and personalized recommendations (e.g. on how to reduce expenses)
  • Notifications
One way to offer additional functionalities is by extending to other financial services, like insurances, investments and credits. Unfortunately, without a strong partnership with a large bank, it is difficult for a 3rd party app to give a good user experience as there are no Open APIs yet for those products. Furthermore, when a 3rd party app, partners with 1 bank, it loses its independent character, which is one of the strongest reasons why people use such an app in the first place.
Budgeting-apps can play in this field but will have to make compromises. Examples of strategies are partnering with 1 or a few banks (giving good user experience, but compromising neutrality), lead generation to a large number of banks (i.e. allowing to keep neutrality, but resulting in a very weak integration, thus lowering user experience), becoming a bank yourself (very capital intensive and complex strategy) or putting those plans on hold till Open Banking APIs for those financial products are also available (which will take several years).
Given the issues with expansion to adjacent financial products, most budgeting-apps explore other options. Typical examples are:
  • Coupons in the form of cash-back by targeting customers based on insights gained from the financial transactions (e.g. only show a coupon for customers shopping at competition or to customers who haven’t passed by the merchant for a while)
  • Offering cheaper deals, based on identified expenses. E.g. proposing cheaper merchants offering same products as where you shop, renegotiating contracts for large recurring expenses like water, gas, electricity, telecom…​
  • Expense management, i.e. keeping track of your expense notes for personal usage or even to communicate to your accountant or employer or to the tax authority
  • Receiving bills and automatic payment via a pay button (via integrations and/or by scanning QR codes on bill, cfr. POM in Belgium)
  • Manage bill sharing
  • Management of money pot for buying group gift for friend, family or colleague
  • Collecting the commands for ordering food as a group
  • Manage loyalty programs, i.e. identify transactions at specific shop(s) and grant points for each transaction
  • Counterparty risk assessment, i.e. based on financial transaction information allow to expose a financial profile, which can be used by counterparties to get an idea of your financial risk profile, before engaging in a transaction with you (cfr. CPRA product of Capilever)
  • …​
Apart from differentiating the budgeting-app by other financial transaction related services (as showed above), the budgeting-app can also focus on niches. Either it can specialize in a specific user journey (like travel, real estate, wedding, birth, pension, finding a job…​) or a specific customer segment. Both approaches have pros and cons.
Specializing in a specific user journey allows to provide strong value-added services, but makes it difficult to convince a customer to create a consent, as it usually consists of a one-shot action (the time to give a consent might not weigh up against the time gained by retrieving the transaction data).
Specializing on a specific target audience via an adapted screen lay-out, gamification, chat bots…​ can be very powerful to have a smaller, but very happy and engaged audience, but due to the limited volumes, the business case might be difficult to be positive, especially as margins on a budgeting-app are not very large.
This brings us to the most important subject for a budgeting-app. Due to their innovative character and potential to become the next unicorn, this business is very VC-driven. Nonetheless, it is very difficult to make a profitable and sustainable business out of it, due to the strong competition (from other Fintechs, banks and other large industries like the telecom industry) and difficult to monetize.
Monetization can be done in different ways:
  • Ask a subscription fee to the users (always or to get access to a premium version of the app). As customers are used to free, excellent services of companies like Facebook and Google, there is very little willingness to pay a subscription fee for such an app.
  • Advertisement: show targeted advertisements on the app
  • Lead generation fee (referral): receive a lead generation fee from partners, when a product of them is sold, thanks to the budgeting-app
  • Market analysis: sell data and insights (patterns) to merchants, which can help them to better attract new customers and retain their existing customers. Thanks to the access to the financial data of all users, budgeting-apps can create valuable insights for merchants, e.g. analyzing which other shops a merchant’s customers frequent, what market share a merchant or specific shop has, identify to which shops customers who left a merchant went to, where did new customers shop before, better classification of customers (based on financial situation, merchant loyalty, sensitivity to promotions…​)
  • Cost saving percentage: some budgeting-apps that propose you cheaper alternatives, take a percentage of the saving, when a proposal is accepted
For all monetization forms, volume is however essential. As the initial investment costs to build this type of product are relatively high and a significant marketing effort is required to distinguish for competition, this type of businesses require always significant upfront funding before they can become break-even. Around 100.000 active users of the app are an absolute minimum to be attractive for merchants to buy services of the platform, which is very costly to obtain in the beginning. Clearly the large existing customer bases of banks and telco players is an enormous advantage for this (especially as they can make a business case out of their existing products and consider the budgeting-features just as an extra service to their customers). Apart from these players, we can expect maybe 2-3 international large players and 1 or 2 local players being active in this space. In any case, much less than the current playing field, where dozens of solutions per country are offered. It will be interesting to see how this consolidation evolution further unfolds.
Check out all my blogs on https://bankloch.blogspot.com/

Comments

  1. While the budgeting app market is highly competitive, opportunities for differentiation and innovation exist. By focusing on niche markets, incorporating innovative features, and employing effective marketing strategies, new entrants can carve out a successful position. Understanding market trends, identifying gaps, and continuously improving based on user feedback are key to navigating this red ocean and finding success in the budgeting app space. Best Cash Flow Forecasting Software | Financial Forecasting Tool

    ReplyDelete

Post a Comment

Popular posts from this blog

Transforming the insurance sector to an Open API Ecosystem

1. Introduction "Open" has recently become a new buzzword in the financial services industry, i.e.   open data, open APIs, Open Banking, Open Insurance …​, but what does this new buzzword really mean? "Open" refers to the capability of companies to expose their services to the outside world, so that   external partners or even competitors   can use these services to bring added value to their customers. This trend is made possible by the technological evolution of   open APIs (Application Programming Interfaces), which are the   digital ports making this communication possible. Together companies, interconnected through open APIs, form a true   API ecosystem , offering best-of-breed customer experience, by combining the digital services offered by multiple companies. In the   technology sector   this evolution has been ongoing for multiple years (think about the travelling sector, allowing you to book any hotel online). An excellent example of this

Are product silos in a bank inevitable?

Silo thinking   is often frowned upon in the industry. It is often a synonym for bureaucratic processes and politics and in almost every article describing the threats of new innovative Fintech players on the banking industry, the strong bank product silos are put forward as one of the main blockages why incumbent banks are not able to (quickly) react to the changing customer expectations. Customers want solutions to their problems   and do not want to be bothered about the internal organisation of their bank. Most banks are however organized by product domain (daily banking, investments and lending) and by customer segmentation (retail banking, private banking, SMEs and corporates). This division is reflected both at business and IT side and almost automatically leads to the creation of silos. It is however difficult to reorganize a bank without creating new silos or introducing other types of issues and inefficiencies. An organization is never ideal and needs to take a number of cons

RPA - The miracle solution for incumbent banks to bridge the automation gap with neo-banks?

Hypes and marketing buzz words are strongly present in the IT landscape. Often these are existing concepts, which have evolved technologically and are then renamed to a new term, as if it were a brand new technology or concept. If you want to understand and assess these new trends, it is important to   reduce the concepts to their essence and compare them with existing technologies , e.g. Integration (middleware) software   ensures that 2 separate applications or components can be integrated in an easy way. Of course, there is a huge evolution in the protocols, volumes of exchanged data, scalability, performance…​, but in essence the problem remains the same. Nonetheless, there have been multiple terms for integration software such as ETL, ESB, EAI, SOA, Service Mesh…​ Data storage software   ensures that data is stored in such a way that data is not lost and that there is some kind guaranteed consistency, maximum availability and scalability, easy retrieval and searching

IoT - Revolution or Evolution in the Financial Services Industry

1. The IoT hype We have all heard about the   "Internet of Things" (IoT)   as this revolutionary new technology, which will radically change our lives. But is it really such a revolution and will it really have an impact on the Financial Services Industry? To refresh our memory, the Internet of Things (IoT) refers to any   object , which is able to   collect data and communicate and share this information (like condition, geolocation…​)   over the internet . This communication will often occur between 2 objects (i.e. not involving any human), which is often referred to as Machine-to-Machine (M2M) communication. Well known examples are home thermostats, home security systems, fitness and health monitors, wearables…​ This all seems futuristic, but   smartphones, tablets and smartwatches   can also be considered as IoT devices. More importantly, beside these futuristic visions of IoT, the smartphone will most likely continue to be the center of the connected devi

PSD3: The Next Phase in Europe’s Payment Services Regulation

With the successful rollout of PSD2, the European Union (EU) continues to advance innovation in the payments domain through the anticipated introduction of the   Payment Services Directive 3 (PSD3) . On June 28, 2023, the European Commission published a draft proposal for PSD3 and the   Payment Services Regulation (PSR) . The finalized versions of this directive and associated regulation are expected to be available by late 2024, although some predictions suggest a more likely timeline of Q2 or Q3 2025. Given that member states are typically granted an 18-month transition period, PSD3 is expected to come into effect sometime in 2026. Notably, the Commission has introduced a regulation (PSR) alongside the PSD3 directive, ensuring more harmonization across member states as regulations are immediately effective and do not require national implementation, unlike directives. PSD3 shares the same objectives as PSD2, i.e.   increasing competition in the payments landscape and enhancing consum

Trade-offs Are Inevitable in Software Delivery - Remember the CAP Theorem

In the world of financial services, the integrity of data systems is fundamentally reliant on   non-functional requirements (NFRs)   such as reliability and security. Despite their importance, NFRs often receive secondary consideration during project scoping, typically being reduced to a generic checklist aimed more at compliance than at genuine functionality. Regrettably, these initial NFRs are seldom met after delivery, which does not usually prevent deployment to production due to the vague and unrealistic nature of the original specifications. This common scenario results in significant end-user frustration as the system does not perform as expected, often being less stable or slower than anticipated. This situation underscores the need for   better education on how to articulate and define NFRs , i.e. demanding only what is truly necessary and feasible within the given budget. Early and transparent discussions can lead to system architecture being tailored more closely to realisti

Low- and No-code platforms - Will IT developers soon be out of a job?

“ The future of coding is no coding at all ” - Chris Wanstrath (CEO at GitHub). Mid May I posted a blog on RPA (Robotic Process Automation -   https://bankloch.blogspot.com/2020/05/rpa-miracle-solution-for-incumbent.html ) on how this technology, promises the world to companies. A very similar story is found with low- and no-code platforms, which also promise that business people, with limited to no knowledge of IT, can create complex business applications. These   platforms originate , just as RPA tools,   from the growing demand for IT developments , while IT cannot keep up with the available capacity. As a result, an enormous gap between IT teams and business demands is created, which is often filled by shadow-IT departments, which extend the IT workforce and create business tools in Excel, Access, WordPress…​ Unfortunately these tools built in shadow-IT departments arrive very soon at their limits, as they don’t support the required non-functional requirements (like high availabili

An overview of 1-year blogging

Last week I published my   60th post   on my blog called   Bankloch   (a reference to "Banking" and my family name). The past year, I have published a blog on a weekly basis, providing my humble personal vision on the topics of Fintech, IT software delivery and mobility. This blogging has mainly been a   personal enrichment , as it forced me to dive deep into a number of different topics, not only in researching for content, but also in trying to identify trends, innovations and patterns into these topics. Furthermore it allowed me to have several very interesting conversations and discussions with passionate colleagues in the financial industry and to get more insights into the wonderful world of blogging and more general of digital marketing, exploring subjects and tools like: Search Engine Optimization (SEO) LinkedIn post optimization Google Search Console Google AdWorks Google Blogger Thinker360 Finextra …​ Clearly it is   not easy to get the necessary attention . With th

Deals as a competitive differentiator in the financial sector

In my blog " Customer acquisition cost: probably the most valuable metric for Fintechs " ( https://bankloch.blogspot.com/2020/06/customer-acquisition-cost-probably-most.html ) I described how a customer acquisition strategy can make or break a Fintech. In the traditional Retail sector, focused on selling different types of products for personal usage to end-customers,   customer acquisition  is just as important. No wonder that the advertisement sector is a multi-billion dollar industry. However in recent years due to the digitalization and consequently the rise of   Digital Marketing , customer acquisition has become much more focused on   delivering the right message via the right channel to the right person on the right time . Big tech players like Google and Facebook are specialized in this kind of targeted marketing, which is a key factor for their success and multi-billion valuations. Their exponential growth in marketing revenues seems however coming to a halt, as digi

AI in Financial Services - A buzzword that is here to stay!

In a few of my most recent blogs I tried to   demystify some of the buzzwords   (like blockchain, Low- and No-Code platforms, RPA…​), which are commonly used in the financial services industry. These buzzwords often entail interesting innovations, but contrary to their promise, they are not silver bullets solving any problem. Another such buzzword is   AI   (or also referred to as Machine Learning, Deep Learning, Enforced Learning…​ - the difference between those terms put aside). Again this term is also seriously hyped, creating unrealistic expectations, but contrary to many other buzzwords, this is something I truly believe will have a much larger impact on the financial services industry than many other buzzwords. This opinion is backed by a study of McKinsey and PWC indicating that 72% of company leaders consider that AI will be the most competitive advantage of the future and that this technology will be the most disruptive force in the decades to come. Deep Learning (= DL) is a s