ASO Case Study: How an AI Expense Tracker Increased Search Visibility by 112% During Year-End Budget Planning

 

Optimization Results

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Client Profile:

The client is a small independent team behind an AI-powered expense tracker. The app scans receipts, sorts spending into categories automatically, and builds simple monthly reports. Its users fall into two groups: individuals planning a personal budget, and freelancers or small-team employees who need clean records for reimbursement and tax filing.

 

The product was well received, with a 4.7-star rating from early users. Even so, the app was stuck at roughly 45 organic downloads per day. Although it is really a productivity tool for organizing receipts and records, its store listing leaned on the broad “finance” label, a term shared with thousands of banking, investing and budgeting products. The features that set it apart, receipt recognition and automatic categorization, were invisible in search. With the November–December budgeting season approaching, the team wanted qualified search traffic in place before demand peaked.

 

Challenge

The expense and budgeting space is crowded. Budgeting apps, workplace expense and receipt tools, and banking apps all compete for the same searches, and the broad finance terms are dominated by the largest names. That makes it hard for a newer, feature-focused productivity app to be seen.

 

The team faced three specific challenges:

 

1. Visibility on the wrong keywords. The app ranked for generic terms such as “finance” and “money manager”, where search intent is vague and competition is heavy. It did not rank in the top 50 for any receipt-scanning or year-end budgeting term.
2. Metadata described the category, not the product. The title, subtitle and keyword field relied on the broad finance label. There was no keyword research behind them, and nothing spoke to the two distinct audiences: personal budgeters and people tracking work expenses.
3. A short seasonal window. Search interest in expense and budget terms rises sharply in late year, then fades. Rankings had to be in place before the peak, not built during it.

 

The objective was clear: replace the generic finance keyword set with one built around year-end budgeting and expense scenarios, and turn that visibility into steady organic downloads.

 

App Store Optimization (ASO) Solutions

The client knew its listing was not working, but it had never bought ASO or keyword services before and was not sure where to start. It came to ASOWorld with a goal and kept the decisions in its own hands. The client edited its own listing and placed its own Keyword Installs orders on the self-service platform. ASOWorld’s consultants supplied what a first-time buyer usually lacks: keyword suggestions, a recommended order volume and pacing, and a weekly check-in to review the numbers. FoxData provided the ranking and competitor data behind each discussion.

 

Finding Out Where the Traffic Was Really Coming From

The client exported its search reports and shared them with ASOWorld’s consultants, who compared them with FoxData keyword data. (How to Conduct Competitive ASO Keyword Optimization Analysis)

 

• About 72% of the app’s search impressions came from broad terms such as “finance” and “money manager”, yet those terms produced under 20% of its downloads.
• The few visitors who arrived from receipt and budgeting searches installed at a much higher rate, but the app barely ranked for those searches.
• Competitors were strong on bank-linking and investing terms. Receipt capture and year-end reporting were thinly covered.

 

The consultants laid out the options. The client decided to drop the broad finance label and compete on year-end budgeting and receipt scenarios instead.

 

Choosing a Direction and Building a 60-Keyword Library

ASOWorld proposed a candidate list of about 100 keywords, grouped by what the user is trying to do. The client then trimmed it to a fixed library of 60, using its own knowledge of the product. For example, it dropped mileage-related terms because the app does not track mileage. ASOWorld’s advice was to keep only terms that match a feature the app really has, so visitors who install do not leave disappointed.

 

The final library had about 20 keywords for each job:

• Tidy up the year (receipts and records): “receipt scanner,” “scan receipts,” “receipt organizer”
• Plan next year (budgeting): “year end budget planner,” “monthly budget,” “spending tracker”
• Get reimbursed and file taxes (work expenses): “business expense tracker,” “expense report app,” “receipt scanner for taxes”

 

The generic finance terms left the core library and were only monitored on the side.

 

Rewriting the Listing Around Search Intent

The client’s marketer wrote the new title, subtitle, keyword field and screenshot captions. ASOWorld shared guidance on character limits, on not repeating a keyword across fields, and on wording that US users actually search, such as “tax season”, “reimbursement” and “write-offs”. The consultants reviewed the draft and suggested moving “receipt scanner” into the title, where it carried the most weight. The client made the final call and submitted the update itself.

 

Screenshot captions followed the same order as the jobs: scan a receipt in seconds, see where your year went, export a report for reimbursement.

 

Trying Keyword Installs for the First Time

After comparing the options, the client chose Keyword Installs to support its priority terms. This was its first time buying the service, so ASOWorld gave a starting plan:

 

• Which terms first: only terms whose listing text had already been updated, so new visitors landed on a page that matched their search.
• How much: a small starting volume, about one-tenth of the app’s baseline of roughly 45 organic downloads a day, raised in small steps instead of sudden jumps.
• How long: each order cycle ran 7 to 14 days, so rank changes had time to settle before the next adjustment.

 

The client placed every order itself on the self-service platform, within what store rules and the market allowed. No other paid acquisition was used.

 

Weekly Reviews and Term Swaps

Every week the client and ASOWorld looked at the same 60 keywords in the same country and store. ASOWorld pointed out which terms to keep, which deserved more volume and which to drop, and the client made the call. After week 4, the client swapped nine terms that were still outside the Top 50 for better ones found in its search-term data, and chose to raise volume on its budgeting keywords. A fixed basket kept the results comparable and stopped the library from drifting back toward broad finance terms.

 

Results by Job

By the end of the 8 weeks, the app ranked in the Top 10 for 19 keywords and the Top 50 for 41. Gains were strongest in the budgeting and receipt jobs, where the listing and the keywords matched most closely.

 

Job	Top 10 keywords before	Top 10 keywords after
Tidy up the year	1	7
Plan next year	2	8
Reimbursement and taxes	1	4
Total	4	19

 

Search visibility across the fixed library rose 112%, and weekly impressions grew 97%. The share of impressions coming from broad finance terms fell from about 72% to about 35%. Organic downloads stabilized at about 75 per day, a 68% increase, and product page conversion improved from 31.2% to 33.1%.