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Flexible pay Impact Assessment: H1 2021

H1 2021 Flexible Pay Impact Assessment: Discover how flexible pay impacts financial wellbeing based on 2,200 user surveys & 1 million transactions.

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Written By

Jérémy Moreau

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How do people use Flexible pay, and what impact does it have on their financial wellbeing?

These are the core questions we address in the H1 2021 Flexible pay Impact Assessment, which is based on independent survey data of 2,200 users, anonymised transaction data of 1 million Flexible pay transfers over 18 months, and global financial inclusion benchmarks.

Foreword

We set up Stream to tackle in-work financial stress—something that affects the majority of the working population.

It's a problem caused by outdated processes and attitudes towards pay, and it's a problem that contributes to societal issues like financial exclusion and the 'in-work poverty premium'.

It's also a problem we now have the power to solve.

As working adults we build our lives around income. Yet, we work for weeks or months before being paid what we're owed; we avoid thinking about our finances; we spend before we save; we end up with too little money left at the end of the month, exposed to unexpected bills and predatory lenders.

At the core of these behaviours, sits pay. That's why we believe in a clear link between work and reward, with accessible pay that puts people in control instead of locked pay that puts them in limbo. We believe in nurturing better choices by embedding education and coaching at the point of receiving income. We believe in replacing reactive money management and financial stress, with proactive money management and financial confidence.

By harnessing the power of pay and resetting these rules we can build a better working world, underpinned by financially-empowered workers and productive, thriving employers. This is the Stream mission. And at the core of this mission is staying true to our social charter and founding investors, which include the UK's leading financial charities and social impact funds.

We remain accountable to these through robust data that ensures we're building fair financial services that give, and not take. But we also believe that by sharing this data, we help our cause and the working population's cause, by supporting our wider industry.

Every six months we'll publish our findings to share how our approach to pay is affecting workers' lives and actively seek feedback on the findings and implications. We have an opportunity to transform the lives of working adults—let's embrace transparency, clarity and collective accountability, and work together to make it a reality.

— Peter Briffett, Co-founder, CEO, Stream

— Portman Wills, Co-founder, CTO, Stream

Context & methodology

This report tracks the impact of Earned Wage Access (EWA) on individual users. EWA is, quite simply, the way we all used to be paid. It means workers can access their already-earned income throughout the month, instead of waiting for the end of an extended, locked pay cycle.

Invented in the 1960s as banking infrastructure evolved and processing fees became costly for employers and banking providers, research suggests that extended, locked pay cycles drive irregular spending patterns and create a 'liquidity trap' for working adults. With most (89%) workers now saying they would prefer a return to EWA, employers are responding by removing the locked pay cycle—typically offering EWA as part of a broader financial wellbeing programme.

This report tracks the impact of that shift through data provided by 60 Decibels, a leading impact measurement firm, and Stream, a financial wellbeing service offered by employers which includes financial education, coaching, savings, budgeting and EWA. As Europe's most widely used provider, Stream offers the most complete dataset currently available on usage and impact of removing the locked pay cycle, at an individual employee level.

Specifically, this H1, 2021 report builds on:

- Perception data, collected through anonymised surveys of 2,220 Stream users
- Usage data, based on a sample 1,000,000 EWA transactions through Stream
- Social impact data, based on the 60 Decibels global impact measurement framework

Collected between June - November 2020, we will use these datasets to explore how Stream's EWA feature ('Stream') is used by UK workers, how this has changed over time, and most importantly, what impact this has had on users.

Key findings: EWA at a glance

Demographics

- 30 is the average age of an EWA user

- 53% of EWA users identify as female

Usage

- £58 is the average EWA transfer

Pay Preference

- 1-3 monthly EWA transfers, replicating weekly pay

Stress

- 77% of users feel less stressed

Confidence

- 72% of users feel more in control of money

Planning

- 55% found planning easier
- 2% struggled to adjust

Saving

- 33% found saving easier
- 4% struggled to adjust

Social impact

- 88% reduced reliance on high-cost credit

- 9/10 prefer EWA to any alternative

- 72% report improved quality of life

- 37% 60dB global benchmark for financial inclusion services

- 56 Net Promoter Score

- 42 60dB global benchmark for financial inclusion services

Top outcomes cited by users

- 22% financially secure in times of need

- 20% released from the locked pay liquidity trap

In their own words

"There's a real comfort in knowing you can access your own money anytime, if you need it"
"It's especially good knowing you're not going to be owing anyone anything or paying interest"

Understanding EWA usage

To better understand the impact of removing extended, locked pay cycles, we need to answer a set of fundamental questions about how workers interact with a more flexible pay cycle through EWA.

This section will focus on transaction data aggregated by Stream—a service which employers offer to employees ('users') as a holistic financial wellbeing programme. The app provides financial education, coaching, budgeting and savings tools, as well as integrating with payroll to provide EWA. The research conducted for this report suggests Stream is serving a heterogenous user base: the majority (87%) of users ranged from 21-60 years old, and while EWA has typically been associated with part-time and low-income workers, a quarter (25%) of users represented an annual household income of over £30,000—almost double the UK 'poverty line' of £17,640 annual income.

As with most providers, Stream's EWA feature currently offers users a semi-locked pay cycle: throughout the month, up to 50% of a user's accrued gross earnings are available to access. Transfers are instant, and processing fees are subsidised by the employer or charged at a capped fee of £1.75 (per transfer) to the employee; we will refer to this as an 'EWA transfer'.

How do users interact with a flexible pay cycle?

Transfers per month (% of total Stream users, June 2020 - November 2020):
- 0 per month: 62%
- 1-2 per month: 20%
- 4-6 per month: 9%
- 7+ per month: 9%

This report does not cover the app's broader feature set in detail, but it is important to note that a significant proportion (62%) of Stream users do not make any EWA transfers.

Instead, they choose to use the app exclusively for other features—most notably 'Track', which helps with in-month budgeting by showing accrued earnings in real-time, throughout the month. Feedback during the research suggested this is primarily about control: users often stated they find peace of mind simply in knowing their earnings are theirs to use, instead of being locked in an extended pay cycle.

On average, 20% of enrolled users are choosing to transfer one to three times each month, allowing them to roughly replicate the cadence of weekly pay. Meanwhile, 9% of enrolled users make more frequent transfers, resulting in seven or more transfers in a given pay period (roughly two transfers per week). During the Covid-19 pandemic, this subset grew as users chose to transfer smaller amounts more often. This change was likely a symptom of the uncertain macro environment created by the pandemic, and resulting inconsistency in work patterns for some of the labour market.

While the vast majority seem to be using EWA in a moderate, controlled way, most apps—including Stream—apply additional safeguards, allowing companies and users to set usage controls; users of this particular service also receive targeted in-app reminders of fees associated with transfers.

How much do users transfer?

Transfer amount (% of transfers, June 2020 - November 2020):
- £0.00 - £49.99: 62%
- £50.00 - £99.99: 20%
- £100.00 - £149.99: 10%
- £150.00 - £199.99: 3%
- £200.00+: 5%

Overall, the average transfer is £58—though as set out earlier, we should expect to see a higher average after the pandemic, during which many users chose to transfer smaller amounts, more often.

The amount a user chooses to transfer is primarily governed by two things:

1. The amount they wish to transfer to their bank account (e.g. to cover a specific expense), and
2. The amount they have available to transfer at that time

Those who transfer larger amounts will, by design, be unable to transfer as frequently as those who transfer smaller amounts (assuming their overall earnings are similar). This unavoidably skews the previous graph to the lower amounts, and provides useful context to the 62% of transfers that are for less than £50.

Share of salary transferred (% of total Stream members, June 2020 - November 2020):
- 0%: 62%
- 0 - 10%: 6%
- 10% - 20%: 8%
- 20% - 30%: 9%
- 30 - 40%: 7%
- >40%: 7%

Those who do choose to make a transfer are accessing 26% of their gross salary on average, which represents roughly half of what they could have transferred in that pay period.

How does flexible pay usage evolve over time?

If EWA is to tackle the 'liquidity trap' created by extended, locked pay cycles, we should seek to understand whether employees use EWA more or less, the longer they have access to it.

Do users transfer more often, over time?

In the month of their first EWA transfer, the median user makes a total of two transfers. Six months later, the median has decreased to one transfer per month.

In other words, after six months of using EWA with Stream, 50% of users are making at most one transfer per month, whereas previously they were making two. This suggests that monthly transfers begin to reduce for a majority of users by the end of their first year.

Do users transfer larger amounts, over time?

Share of salary transferred (Average % of gross salary transferred, October 2018 - November 2020):
- Month 0: 22%
- Month 3: 18%
- Month 6: 16%
- Month 9: 14%
- Month 12: 13%

This trend towards lower amounts over time implies users may be improving their financial situation through access to EWA, over time, gradually building up financial resilience.

Do users transfer earlier in the pay cycle, over time?

In month '0', users make their first transfer at an average of nine days before payday. By the end of their first year this has reduced to 8 days before payday, meaning employees are waiting slightly longer each month before choosing to access their earned wages.

One early concern, with returning to flexible pay cycles, had been that users may begin accessing their earnings increasingly early in the month—weakening their financial position as a result. Encouragingly, the usage data collected shows that this is not the case: within a year of making their first transfer users are, on average, transferring lower amounts, less often, and at later stages in the pay cycle than they were originally.

This means that at the height of a global pandemic, when the labour market experienced less job security and greater financial strain than any moment in recent history, EWA was still used in moderation and employees appear to have gradually built financial resilience, as a result of their employers returning to a flexible pay cycle.

Evaluating EWA impact

To start understanding the broader social impact of reverting to flexible pay cycles, we need to listen to the end-user. We need to invest time in understanding how workers feel about their finances, once locked pay cycles are removed and they are given choice over when and how they are paid.

It's important to note this research was conducted within the context of 'responsible EWA'—an EWA feature offered as part of a financial wellbeing service (in this case, Stream) which encourages better financial behaviours and decisions, through education, coaching, budgeting and savings tools.

How do users categorise their own spend?

Reasons for transfer (% of transfers, June 2020 - November 2020):
- Bills: 33%
- Groceries: 21%
- Shopping: 12%
- Expenses: 11%
- Fun: 7%
- Family: 7%
- Travel: 7%
- Holiday: 1%

Over half (54%) of transfers are for 'bills' and 'groceries'; 'fun' and 'holidays' make up less than 10%.

Users were also extremely consistent in how they categorised their transfers from one month to the next, although the early phase of the Covid-19 pandemic saw a notable increase in Groceries, and decreases in Expenses, Travel, Holidays and Fun.

How does a flexible pay cycle impact personal finances?

We can now delve more meaningfully into how personal finance behaviours and perceptions change, once a user is accessing pay flexibly. This is the ultimate question our industry should aim to answer. In particular, we'll turn our attention to two specific areas of impact:

1. The financial products which currently benefit most from the locked pay cycle 'liquidity trap'
2. Key inputs and outputs of financial resilience

Does EWA impact the use of credit products?

When we think about the impact of a flexible pay cycle through EWA, it's important to correct one common misconception. EWA has, at times, been incorrectly referred to as replacing forms of lending—most notably 'payday loans', a form of high-cost credit which creates profit at the detriment of financially vulnerable segments of the population. Instead, EWA replaces the locked (often monthly) pay cycle. It is also unproductive to equate these two, as research suggests individuals treat credit and their own income in fundamentally different ways; regulators in the United Kingdom and United States now state that flexible pay should be viewed as income, and not lending.

This reversion to a more flexible pay cycle can, however, lead to a number of changes in financial behaviour by the end-user. It has been a widely held belief that one of the most common changes would be reduced use of last-resort credit, since adoption for this had been inflated by those experiencing a lack of liquidity towards the end of a pay cycle, and a lack of access to affordable credit.

Have you used payday loans more or less, since using Stream?
- I use them less: 23%
- I use them more: 3%
- I have never used a payday loan: 74%

Around a quarter (23%) of respondents say they use payday loans less, after enrolling with Stream. Since 74% of respondents had never used payday loans prior to this, the data suggests that 'responsible EWA' has reduced payday loan usage for 88% of those previously reliant on it as a source of liquidity.

Have you used credit cards more or less, since using Stream?
- I use it less: 21%
- No change: 30%
- I use it more: 3%
- I don't have a credit card: 46%

Have you used an overdraft more or less, since using Stream?
- I am in it less: 16%
- No change: 31%
- I am in it more: 3%
- I don't have an overdraft: 49%

Again, the results indicate a positive overall impact: 21% of respondents are using their credit card less often and 16% are resorting to an overdraft less often, since joining Stream. This equates to a 39% and 31% decrease in usage for those that previously relied on credit cards and overdrafts, respectively.

Do users become more financially resilient?

Through this assessment, we also set out to test which other financial behaviours change when EWA is introduced, beyond an improvement in liquidity. To do so, we asked users to consider any change in behaviours that we consider to be core inputs and outputs of long-term financial resilience: budgeting, saving, a sense of control, and a sense of improved quality of life.

Has Stream changed your financial situation? (% of respondents)

"Has your ability to plan your finances changed because of Stream?"
- Very much improved: 22%
- Slightly improved: 33%
- No change: 43%
- Got slightly worse: 2%

"Has your ability to save changed because of Stream?"
- Very much improved: 12%
- Slightly improved: 19%
- No change: 66%
- Got slightly worse: 2%

"Has your quality of life changed because of Stream?"
- Very much improved: 19%
- Slightly improved: 42%
- No change: 38%
- Got slightly worse: 1%

"Overall, do you feel in control of your finances because of Stream?"
- Very much improved: 32%
- Slightly improved: 40%
- No change: 26%
- Got slightly worse: 2%

Survey responses suggest that users feel overwhelmingly positive about the impact that Stream has had on their lives across a range of financial resilience indicators.

These findings span a representative proportion of all Stream users, including those exclusively using features other than the EWA feature; it is noteworthy then, that users of the EWA feature actually reported more pronounced positive impact. A majority (55%) of respondents reported improvements to their ability to plan their finances, for instance, and almost a third (31%) felt it had become easier to save. However, these figures rose to 60% and 33% respectively, among EWA users.

Similarly, significant majorities of users felt more in control (72%) and a sense of improved quality of life (61%)—which rose to 78% and 72% specifically among users of the EWA feature.

These results also appear to highlight why recent adoption of EWA has been so swift: the results cited by users outperform global benchmarks for financial inclusion services (72% improved quality of life vs. 37% global average; 56 Net Promoter Score vs. 42 global average), meaning EWA is playing a profoundly positive role in the delivery of fairer financial services.

EWA impact roadmap

These early Impact Assessments have been instrumental in helping answer two of our industry's most urgent questions: when provided as part of a responsible financial wellbeing programme, how do workers use EWA and how does it impact their financial wellbeing?

We now know that within one year of making a first transfer, the average user is making fewer transfers each month, transferring a smaller percentage of their pay and doing so at a later stage in the pay cycle. In other words, usage is controlled and pre-existing debt cycles begin to recede.

We now understand that users previously reliant on short-term credit products report a significant reduction in the use of these products, citing this as a result of being released from the 'liquidity trap' of extended, locked pay cycles.

We also now know that people feel positive about a reversion to more flexible pay cycles, and the perceived impact it has on their financial health. The majority feel less stressed, more in control of their money, and a sense of improved quality of life. When provided within a holistic financial wellbeing programme, EWA outperforms global benchmarks on financial inclusion and tackling in-work financial stress.

Yet, there is work to be done. This report is a first step in understanding the power of pay, and the importance of how it is delivered to those who earn it. But it can and should be built on, with wider input and the most robust critique possible—now that the power of pay is clear, it is our collective responsibility to harness that power and build a fairer financial playing field for the working world.

EWA Research Roadmap

Usage

Future studies should continue benchmarking usage, eventually across multiple EWA providers.

Perceived impact

This is a helpful metric, due to the close links between financial, mental and physical health, but there is scope for more detailed qualitative analysis over time.

Behavioural impact

Opt-in data could be used to compare perceived with behavioural impact, especially savings and the variables impacting how users adjust to flexible pay cycles.

Social impact

Tracking against these metrics will ensure the industry continues to put the end-user first.

Appendix

Impact of Covid-19 on Transfers

Prior to the Covid-19 pandemic, users were consistent in how they categorised their transfers from month to month. However, this changed notably, as the UK went into lockdown in late March 2020.

Between February and April 2020 we saw a material increase in transfers for "Groceries" (16% → 29%), and a material decrease in transfers for "Expenses", "Travel", "Holiday" and "Fun" (33% → 17%). It has been well documented that national lockdowns resulted in an overall change in spending habits, with more money spent at supermarkets, and less spent on commuting and holidays, and our data supports these findings.

This trend slowly reversed as lockdown restrictions eased, however transfers for "Groceries" remained significantly higher throughout 2020 than they were prior to the Covid-19 pandemic. Additionally we have recently seen the impact of the second national lockdown (implemented in November 2020) with transfers for "Bills" increasing from 32% → 37%.

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