Lending Stream is an online short term loan product designed specifically for Brits with less than perfect credit score (low credit worthiness). It is mainly a 6 month loan with some users eligible for a 12 month loan term too.
A user needs to apply for it on our website by filling up a quick online form. Once its submitted, we run our underwriting and affordability assessment to decide whether or not to lend money, which takes about 5 seconds on average. If the application is approved, the user needs to add a bit more information and review the loan agreement after which the money is transferred to their bank account within 90 seconds.
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Lending Stream's value proposition, at a very high level, is their ability to offer short term loans to users who otherwise would find it difficult to borrow from banks and other financial institutions, while keeping them away from getting into debt-trap and doing all of this in a couple of minutes. Lending Stream is regulated and authorised by Financial Conduct Authority (FCA).
Its a short term loan product designed mainly to lend small sum of money to people with bad credit history, who find it hard to get it elsewhere quickly. Some good/fair credit people also borrow from us when they need the cash urgently and have nowhere else to go.
People refer to such loans as Payday Loans (an older term which isn't right in the current context), Short term loans and bad credit loans. These products are regulated by the Financial Conducts Authority (FCA) under High Cost Short Term Credit (HCSTC) category. These customers are majorly categorised by their credit worthiness and their bankability - near sub-prime and non-prime.
PMF achieved many years ago. Undergoing mature scaling now. Leader in the market (>30% market share of HCSTC in the UK).
​1. What is the core value prop of your product? How do users currently experience that core value prop repeatedly?
​2. What is the natural frequency of your product?
3. Do you have other sub products? What is their natural frequency like?
No, there is only one product that is the loan product, however, a key feature of a loan product (also a core action) is making repayments which in almost all cases is paid once a month as long as there is an active loan.
4. What is the best engagement framework for your product?
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Engagement Framework | Relevance | Key Metric to be tracked | Rationale |
Frequency | Primary | X loans over Y months | We'd want our users to borrow from us as many times as they need. This will help them realise the CVP of our product by paying off an emergency bill whenever that occurs regardless of amount. More loans == more no. of times that customers realised CVP == Higher brand consideration == Longer term retention == High LTV. |
Depth | Secondary | £X over Y months | Our customers don't control the amount that they're approved for and can only control how much out of the approved amount, do they borrow. In most cases, our customers take out the entire approved amount leaving lesser scope to increase the average loan size. Having said that, we should make UX optimizations to increase the {approved amount} to {funded amount} ratio to increase the LTV. |
Breadth | Nill | - | We offer only 1 product i.e. a loan. There are no other products/sub-products/features that would help the customers realise more value proposition. |
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For our loan product, users get activated when they borrow (and successfully close) X loans in the first Y months. However, a user once activated can become dormant and even churn.
So, a good way to define active users would be to look at:
Now, customers might not be able to borrow until they're deemed affordable by our underwriting but they could still be active on our the product by making repayments for the open loans, therefore it would be less appropriate to look at "time since their last loan" to call them active.
Instead, the appropriate definition for an active user could be:
"A user having a non-zero outstanding balance over the last 12 months and haven't gone bad (default, chargeback, etc.)"
We decided on 12 months in the above statement based on the natural frequency of our users.
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Before, we get into our segmentation, let's first understand our users. And the most efficient way to do that is by tabulating the traits of our core ICPs.
Ideal Customer Profile (ICP):
Name | Chloe | David | Sam | Matthew |
Persona | Bad Credit borrowers - Young employed | Bad Credit borrowers - Older employed | Bad Credit borrowers - Self employed | Emergency borrowers |
% share of current customer base | 60% | 15% | 5% | 10% |
Age | 18-44 | 45-65 | 18+ | 18+ |
Monthly Income | £1000 - £3000 | £1000 - £2500 | £800 - £3000 | £1500 - £4000 |
Occupation | Full time/Part time employed | Full time/Part time employed | Self employed | Full time/Part time employed |
Need | Quick - short term loan | Quick - short term loan | Quick - short term loan | Urgent cash |
Pain Point | bad credit history - limited options to borrow | bad credit history - limited options to borrow | bad credit history - limited options to borrow | Other loan options take time |
Brand loyalty | Low - go with cheaper | Medium - go with cheaper option | Medium - go with cheaper option | Low - go with cheaper and quicker option |
Early adopters | High | Medium | Medium | Medium |
Spend time on | Instagram, Facebook, | Cable TV, Radio, Facebook, YouTube | Instagram, Facebook, TikTok, YouTube, OTT, Sports TV channels, Radio, Spotify | Instagram, Facebook, TikTok, YouTube, OTT, Cable TV, Radio |
Perceived Value of Brand | Low | Medium | Low | Medium |
Frequency of use case | High | Medium | Medium | Medium |
Average loan size | Medium | High | Medium | Medium |
What do they spend most on | Rent, commute, food and | Rent, commute, food and groceries, energy, utilities | Rent, commute, food and groceries, energy, utilities | Rent, commute, food and groceries, energy, utilities |
Most valued/liked features of the product | Simple application, online, fast decision, fast cash disbursal, customer support, muliple loans | Simple application, online, fast decision, fast cash disbursal, customer support, muliple loans | Simple application, online, fast decision, fast cash disbursal, customer support, muliple loans | Simple application, online, fast decision, fast cash disbursal, customer support, muliple loans |
Most hated things about the product | High interest rate, late fees, application rejections, customer support | High interest rate, late fees, application rejections, customer support | High interest rate, late fees, application rejections, customer support | High interest rate, late fees, application rejections, customer support |
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In the ICP table above, I have highlighted the key traits of our customers that would likely impact their engagement with our product.
After speaking to these customers, looking at their product reviews and analyzing their performance data, I've concluded that most of our customers have very similar reasons to engage with us and the key difference is their frequency of usage.
Time since last zero OPB: This is an important metric as we've used this to define Active users as well in a way. So, when a user has had X days since the last time they had no outstanding principal balance (all loans closed) - higher the X, lower their engagement and lower brand recall. Therefore, while designing the engagement campaigns, we need to treat customers differently based on this metric to have a better impact. E.g. Users with 1 active loan would have a higher engagement as they're still making repayments and are already receiving other service emails like payment reminders, successful repayments, etc. There's no need to target them too frequently.
* Users can have at max 2 loans at the same time, so users with 2 active loans wouldn't be able to borrow until they close at least 1 of them.
* Users with >12 months since the last zero OPB are deemed in-active users - churned or about to churn.
Therefore, segmenting our customers based on their usage frequency (Power/core/casual) X Time since last zero OPB would help create a robust engagement strategy. For ease, I've combined Core and Power into one segment as the same engagement campaigns could be utilised for both of them. All other traits of these users would be same as our ICPs.
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Usage Frequency | Casual | Core/Power | |||
Days since last 0 OPB | 0 (1 active loan) | 0-12 Months | 0 (1 active loan) | 0-6 Months | 6-12 Months |
Natural Frequency | 1-2 loans in 2 years | 1-2 loans in 2 years | 3+ loans in 2 years | 3+ loans in 2 years | 3+ loans in 2 years |
Level of Engagement | Temporarily high, otherwise low | Low | Temporarily high, otherwise medium-high | Medium-high | Medium |
Recency of use case | High | Low | High | Medium | Low |
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Now that we have segmented our customers to optimize the engagement strategy, let's design some engagement campaigns.
I've designed 5 campaigns targeting the customers as segmented in the earlier section. You can find the campaign flow here.
Please note that we run an offline eligibility on a daily basis to list all the customers who are very likely to be approved if applied today (based on their last application details). These campaigns would only cater to customers who're eligible for a loan on the day of drop.
One thing to note here is that the messagig could be customised within each campaigns for different set of users:
Engagement Campaign | Goal of the campaign | Persona/Type of User
| Rationale/Additional info | Offer | Pitch and Content | Channel of Distribution | Frequency and Timing | Metrics to track | Success Metrics |
Campaign 1 | To inform users that they can have 2 loans at once and to trigger an action (take another loan). Convert them into Core users. | Casual users with an active loan |
• A casual user might not be aware of topup loans, so sending this would increase loans per customer. • A high freq of targeting could upset them as they have lesser use case for borrowing and would also be engaged via other service emails and them having to make repayments- so kept it once a week. • Test different day/time combination to find the best one | No special offer except that they are eligible to borrow more. | Subject: Did you know that you could have another loan with us? Hey there, do you know that you could have 2 loans with us at the same time? We understand that sometimes, a topup on your loan is what you need. CTA - Apply now/Topup your loan | Email + SMS | Once a week (Saturday) 10-11 AM | • Open Rate | • X% increase in loans per customer • Y% casual users become core users |
Campaign 2 | To disburse more loans to these existing customers. Convert them into Core users. | Casual users with {0-12 months} since last zero OPB |
• A casual user might not remember the brand, so sending this would increase loans per customer. • A high freq of targeting could upset them as they have lesser use case for borrowing - so kept it twice a week. • Test different day/time combination to find the best one | No special offer except that they are eligible to borrow more. | Subject: Lending Stream's here when you need another loan Hey there, we were happy to help you with your last loan and we’re here if you need another loan. You’re eligible to borrow up to £1500 now. All you need to do is login and apply. CTA: Apply now | Email + SMS | 2 times a week (Tuesday, Saturday) 10-11 AM | • Open Rate • CTR % • Conversion rate • # Loans disbursed • % Users moving into higher engagement cohort/more usage • Unsubscribe rate | • X% increase in loans per customer • Y% casual users become core users |
Campaign 3 | To disburse more loans to these existing customers. Convert/retain them into Power users. | Core/Power users with an active loan |
• A core/power user with an active loan might need another loan, so sending this would increase loans per customer. • A high freq of targeting could upset them as they would be engaged via other service emails and them having to make repayments- so kept it twice a week. • Test different day/time combination to find the best one | No special offer except that they are eligible to borrow more. | Subject: Need another loan? We're here to help Hey there, glad to see that you’re finding us helpful. As you know you can have 2 active loans with us at a time. So, if you’re feeling the heat, you are eligible to
topup your account with another loan with us. CTA: Apply now/Topup your loan | Email + SMS | 2 times a week (Tuesday, Saturday) 10-11 AM | • Open Rate • CTR % • Conversion rate • # Loans disbursed • % Users moving into higher engagement cohort/more usage • Unsubscribe rate | • X% increase in loans per customer • Y% core users become power users |
Campaign 4 | To disburse more loans to these existing customers. Convert/retain them into Power users. | Core/Power users with {0-6 months} since last zero OPB |
• Core/power users tend to borrow whenever they need and informing them when they're eligible would increase loans per customer. • A higher freq of targeting should be fine as they have frequent use case for borrowing - so kept it thrice a week. • Test different day/time combination to find the best one | No special offer except that they are eligible to borrow more. | Subject: Congrats, you're eligible to borrow up to £1500 Hey there, glad to see that you’re finding us helpful. As always, we’re here if you need another loan. CTA: Apply now | Email + SMS | 3 times a week (Tuesday, Thursday, Saturday) 10-11 AM | • Open Rate • CTR % • Conversion rate • # Loans disbursed • % Users moving into higher engagement cohort/more usage • Unsubscribe rate | • X% increase in loans per customer • Y% core users become power users |
Campaign 5 | To disburse more loans to these existing customers. Convert/retain them into Power users. | Core/Power users with {6-12 months} since last zero OPB |
• Core/power users tend to borrow whenever they need and informing them when they're eligible would increase loans per customer. • A higher freq of targeting should be fine as they have frequent use case for borrowing - so kept it thrice a week. • Test different day/time combination to find the best one | No special offer except that they are eligible to borrow more. | Subject: Good news, you're eligible for another loan! Long time no see? That’s a good news, this means you’re able to manage your finances well. As always, we’re here if you need another loan. CTA: Apply now | Email + SMS | 3 times a week (Tuesday, Thursday, Saturday) 10-11 AM | • Open Rate • CTR % • Conversion rate • # Loans disbursed • % Users moving into higher engagement cohort/more usage • Unsubscribe rate | • X% increase in loans per customer • Y% core users become power users |
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There are a few product hooks that we can design that'd increase the user engagement on our peoduct and also help with resurrection of currently churned users. The key goal would be to convert all new casual users into core and core into power.
I've designed 3 product hooks below in brief. More details to follow at a later time.
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And that'a wrap for our Engagement strategy.
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Since it is a longer term and a lower frequency product, we would need to understand the retention for our product by looking at how many customers are still active after say every 6 months.
As defined earlier, A user having a non-zero outstanding balance over the last 12 months and haven't gone bad (default, chargeback, etc.) is an active user of our product.
So, if a good-standing user had at least one day when the outstanding principal balance was >0 during the last 12 months after the X months of acquisition, the user would be termed as a retained user for MX.
* Good-standing user - A user who has not defaulted on the loan or showed any signs of other bad behaviour. If a users misses payment but gets back on the track before the loan schedule, we could consider him/her good-standing.
Bird's-eye view
1. What is your current retention rate in terms of users?
These metrics are low as we've had this product for over 15 years and a lot of our older customers are no-longer our target customers plus there have been instances of poor product experiences in the past leading to even lower retention from those customers. Another reason is regulatory requirements to not lend customers more than a certain times over a stipulated time and also over a lifetime.
If we were to look at these metrics for recent cohorts, the numbers would be much better.
Another interesting thing that you'd see in the above metrics is that the YAU is just 4 times of MAU - which means, there are sets of users who borrow multiple times in a year and sets of users who don't borrow at all (churned).
2. At what time period does your retention curve flatten? ​
Retention curve (i.e. had >0 OPB over the last 12 years of X month from acquisition and are good-standing)
* Guesstimate based on looking at similar data for the last few years - never really looked at this data.
So, based on the above data - the retention curve kind of flattens at about 8-9 years since acquisition. Post that only super loyal users stick.
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Microscopic View
1. Which ICPs drive the best retention?
Both Chloe (higher use case but Lower loyalty) and David (lower use case but higher loyalty) show similar retention rates. Other minor ICPs also follow a similar pattern. Overall all the 4 ICPs have casual/core/power users who have varied retention rates.
​2. Which acquisition channels drive the best retention?
Partner channels intuitively drive lower retention than non-partner (own marketing) channels in the start as our onw-marketing efforts focus a lot of presenting ourself as a superior product in the market while the partner leads are essentially leads who instead of applying directly with us, applied with lead brokers displaying lower brand loyalty.
However, this gap reduces over time and more importantly the average loan size for partners-driven users is higher than own-marketing driven users ultimately making both the channels similar in the longer term.
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After speaking to a lot of customers who have churned and are showing signs of churn plus reading through numerous negative reviews on the review sites - I've put together the key reasons of churn and their proposed solutions in the following mind map. Access the whimsical here. There are also a couple of involuntary churn reasons (not controlled by users) that we as a business could do something about.
The top solutions are:
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Negative actions to look out for:
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Step 3 → Resurrection Campaigns
Use this link for a better readability.
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Resurrection | Goal of the | Persona/Type | Rationale / Additional | Offer | Pitch and | Channel of | Frequency | Metrics to | Success |
Campaign 1 | To resurrect the users and let them borrow again. | Casual users who have churned (0 OPB for >12 months) | Users likely churned as they found a cheaper alternative. Offering them a lower interest rate on their future loans could get them back. | Loyalty program. Lower interest rates. | Subject: Interest rate SLASHED. Apply now | Email + SMS | Once a week (Saturday) | • Open Rate | • X% customers targeted take a loan |
Campaign | To resurrect the users and let them borrow again. | Core/Power users who have churned (0 OPB for >12 months) | Users likely churned as they found a cheaper alternative. Offering them a lower interest | Loyalty program. Lower interest rates. | Subject: You're gonna love our SLASHED interest rates | Email + SMS | Twice a week (Tuesday, Saturday) | • Open Rate | • X% customers targeted take a loan |
Campaign | To resurrect the users and let them borrow again. | Users who didn't continue with the new open-banking journey when it triggered. | These customers likely didn't come back to apply as they didn't want to go through the open banking journey that needs them to login to their net-banking while applying. If you make them feel that this is a new yet necessary step and get them to trust you, they could come back. | 10% of their interest amount as cashback if they close their next loan on/before time. | Subject: 10% off on your next loan with us | Email + SMS | Once a week (Saturday) | • Open Rate | • X% customers targeted take a loan |
Campaign | To keep some users from churning and let them borrow again. | All users who have raised multiple support tickets/interacted with CS multiple times over the last few days. | These are the users who could churn soon if not tended to. Offer them a discount alongside a assurance that their issue is resolved/they'll not face such problem in the future. It could keep them from churning. | 10% of their interest amount as cashback if they close their next loan on/before time. | Subject: 10% off on your next loan with us | Email + SMS | Once a week (Saturday) | • Open Rate | • X% customers targeted take a loan |
Campaign | To resurrect churned users who are better suited for our cheaper product - | Users who've churned as they are qualified for better deals outside based on their credit score/history and are eligible for our other product Drafty. | They've churned as they are finding better deals outside due to their improved credit | Introduce Drafty (much cheaper line of credit) | Subject: Congratulations! You've got an Upgrade. | Email + SMS | Once a week (Saturday) | • Open Rate | • X% customers targeted becoming Drafty customers |
Campaign 6 | To monetise churned users who are not our target customers anymore. | Users who've churned as they are qualified for better deals outside based on their credit | They've churned as they are finding better deals outside due to their improved credit | Introduce Clearscore | Subject: Congratulations! We've a good news. | Email + SMS | Once a week (Saturday) | •Open Rate | • X% customers targeted sign up for Clearscore |
Campaign | To monetise churned users who are churned as we didn't approve them and are likely to not | Users who are churned as we didn't approve them and are likely to not be approved in the future. | They've churned as we are not approving them for a loan. Ask for their consent to find them a loan with partner lenders. | Let us find you a loan | Subject: Let us find you a loan | Email + SMS | Once a week (Saturday) | ​• Open Rate | • X% customers targeted take a loan |
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