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- [Home](https://finxtech.com/) - [Content](https://finxtech.com/content/) - [Videos](https://finxtech.com/thought-leadership/?industry=&topic=&collection=video) - [Articles](https://finxtech.com/thought-leadership/?industry=&topic=&collection=post) - [Podcast](https://finxtech.com/thought-leadership/?industry=&topic=&collection=podcast) - [Newsletter](https://finxtech.com/newsletter-archive/) - [Events](https://finxtech.com/events) - [Upcoming Events](https://finxtech.com/events) - [Past Events](https://finxtech.com/events/list/?eventDisplay=past) - [About](https://finxtech.com/about/) [Access Connect](https://connect.finxtech.com/) [](https://finxtech.com/) The Intersection of Financial Institutions and Technology Leaders [](https://finxtech.com/) The Intersection of Financial Institutions and Technology Leaders # 3 Ways Customer Data Benefits Financial Services February 8, 2022 By Charlotte Norman **The financial service sector has seen sweeping changes in the past few years,** due in large part to breakthroughs in technology and adaptations made in response to the pandemic, and banks are under a tremendous amount of pressure to cater to customers whose wants and expectations are dramatically different from before. For financial firms to succeed, they must embrace digital transformation and set their strategy based on analyzing and using the mass of data at their fingertips. This data can help them in three crucial ways. **1. Gaining a deeper understanding of clients to cater to their needs** Banks, more so than other companies, have enormous datasets to wrangle. Every swipe someone makes with their debit or credit card is a piece of transactional data for financial companies — not to mention engagement with banking apps, calls to service centers and visits to branches. If banks are able to organize the data properly, they can understand their customers, predict their needs, personalize interactions and more. No matter if you’re a boutique bank, or a large well-known brand — **the key to success is customer loyalty, and that can be fostered by a positive experience.** Customers expect their banks to predict their needs and tailor their interactions. With legible customer data, banks can identify and predict trends in customer behavior and create personalized approaches. Historically, banks have been more product-centric, for example focused on pushing credit cards or specific types of accounts. **To build value, firms should move toward customer-centricity and concentrate on building brand value.** This extra effort will result in happier customers, skyrocketing loyalty and retention, higher engagement and conversion rates and a more substantial return on investment. **2. Connecting with customers at pivotal life moments** Financial services is a lifecycle-based sector. To effectively serve customers, **banks must understand what products and services will be of use to their clients at what stage in their lives.** Customers don’t make big financial decisions when their banks want them to, but rather when pivotal life moments happen, such as marriage, moving out of state, or purchasing a home. By examining their data, banks can look at different indicators like customer engagements with other products or spending patterns, to anticipate important life events and prepare a product or offer for them in the right time frame. **3. Building a stronger business** If banks can form a complete view of their services based on customers’ usage and transaction data, they can discover where they fall short and how they can improve their business across multiple dimensions. There are many use cases that fall under the data and analytics category: Brands can develop new products and services, have better risk management capabilities and save money with more efficient internal operations. Using data even extends to financial investments: Brands can predict how the market may move and decide which companies or stocks to invest in. Unlocking the potential of customer data in financial services depends on having a solid foundation of customer data. **With that in place, banks can make informed decisions to drive adoption, increase revenue and boost customer satisfaction.** But first, they must collect, clean, combine and analyze internal and external data from a variety of different sources. Without the right tools and guidance, this can be quite difficult, and often trips banks up; this is where a customer data platform (CDP) comes in. A good CDP will help a bank make sense of messy data and turn it into valuable insights, allowing financial service companies to fuel their marketing efforts, cut back on costs and serve their customers better. SHARE: [](http://www.linkedin.com/shareArticle?mini=true&url=https://finxtech.com/3-ways-customer-data-benefits-financial-services/&title=3%20Ways%20Customer%20Data%20Benefits%20Financial%20Services) [](http://twitter.com/intent/tweet/?text=3%20Ways%20Customer%20Data%20Benefits%20Financial%20Services&url=https://finxtech.com/3-ways-customer-data-benefits-financial-services/) [](http://www.facebook.com/sharer/sharer.php?u=https://finxtech.com/3-ways-customer-data-benefits-financial-services/) [](mailto:?subject=FinXTech:%203%20Ways%20Customer%20Data%20Benefits%20Financial%20Services&body=Check%20out%20this%20article%20on%20FinXTech.com:%20https://finxtech.com/3-ways-customer-data-benefits-financial-services/)  [](https://amperity.com/) [ Previous](https://finxtech.com/finxtechs-need-to-know-direct-deposits/) [Next ](https://finxtech.com/how-to-deliver-standout-account-opening-experiences/)  Stay current with our latest insights - [LinkedIn](https://www.linkedin.com/company/15250174/) - [Twitter](https://x.com/fin_x_tech) - [Instagram](https://www.instagram.com/finxtech/) [Privacy Policy](https://finxtech.com/privacy-policy/) | [Terms of Use](https://finxtech.com/terms-of-use/) Connect with FinXTech to receive our latest content and to be first to hear about our upcoming events! *arrow_forward*
No <main>: Wrap the page’s own content in <main>, so a reader knows where it starts and stops, and Clean can be measured.
The figures
100 pages, set against the 169,209 sites with figures and 297 in finance.
- Readablehigher is better
- 100%100 of 100 pages
- All 169,209 sitesBetter than 47%297 finance sitesBetter than 37%
Pages whose own text is in the HTML the server sends, enough of it for their kind.
- Cleanhigher is better
- 68%middle page
- All 169,209 sitesBetter than 45%297 finance sitesBetter than 53%
Of the words before script, the share that are the page and not menus, footer and forms. 99 pages are not measured, with no <main> or no words.
- Costshown, never scored
- 180,086tokens
- About 1,801 a page
To read every page once. A long page that answers well is not worse for it. Tokens are estimated at about 4 characters each.
How its pages spread on Clean
1 page measured. Not measured: 99 with no <main> or no words.
Against its rivals
The sites nearest it by what they do, with figures. Close means similar work, not better.
| Readinghigher is better | Costnot scored | ||
|---|---|---|---|
| Site | Readable | Clean | Tokens a page |
| finxtech.comThis site, 100 pages | 100% | 68% | 1,801 |
| jackhenry.com100 pages | 100% | 81% | 6,907 |
| datos-insights.com100 pages | 82% | 51% | 1,333 |
| theasianbanker.com100 pages | 100% | 35% | 3,780 |
First of 4 on Readable, second on Clean.
AI crawler access
What robots.txt says to each, as read on October 24, 2026. 8 of 8 may read the site.
| Crawler | robots.txt says | Used for | The line that decides |
|---|---|---|---|
| GPTBotOpenAI | Not named | Training models | Falls to User-agent: * |
| OAI-SearchBotOpenAI | Not named | ChatGPT search | Falls to User-agent: * |
| ChatGPT-UserOpenAI | Not named | A page a person asks about | Falls to User-agent: * |
| ClaudeBotAnthropic | Not named | Training models | Falls to User-agent: * |
| Claude-SearchBotAnthropic | Not named | Claude’s search | Falls to User-agent: * |
| PerplexityBotPerplexity | Not named | Perplexity search | Falls to User-agent: * |
| Google-ExtendedGoogle | Not named | Training Gemini | Falls to User-agent: * |
| bingbotMicrosoft | Not named | Bing and Copilot | Falls to User-agent: * |
Every AI crawler mttr checks may read it. Not named means the rules for every crawler apply.
Every page
Worst first. Each opens in Agent View at the top.
100 pages of 100 lose something. Pick a loss to see what to do about it.Open the action plan
Show where it stands
A card, a badge and a line, each with the figures.

A badge for the site
<a href="https://mttr.si/agent-view/finxtech.com"><img src="https://mttr.si/agent-view/finxtech.com/badge.svg" alt="Agent View: 100% readable, 68% clean" height="20"></a>
The figures in one line
finxtech.com in Agent View: 100% of pages readable, better than 37% of finance sites; 68% clean; 180,086 tokens to read all 100 pages. mttr.si/agent-view/finxtech.com
What to do next
Fix the pages, let an agent do it, and read the site again to see the figures move.
Fix what agents miss
- Wrap 99 pages in <main>Clean measured
- Give 1 page a main headingClearer
Connect your agent
Claude Code, Codex or Cursor reads the site’s fixes over MCP, fixes a page in your code, has mttr read it again, and checks the fix landed.
https://mttr.si/mcpSet up an agent
Claim the site
Prove it is yours with a DNS record or a file. Your agent can then reach its reads and jobs, and set each change to wait for your approval.
Claim the siteDrawn from the HTML mttr fetched on its read of October 24, 2026, not a screenshot, and only from the 100 pages read, where the read stopped at its page limit. An assistant’s own reader may differ. Tokens are estimated at about 4 characters each. A site an agent reads well is not a site an assistant cites.