Review · Banking · 23 Oct 2026
Demand fell or the site lost: reconciling traffic with Wordstat For deposits demand fell more than traffic, for debit cards the reverse: what that gives a diagnosis
When a bank’s organic traffic falls, the first question is: market or site? The answer is not one number but the gap between the fall in demand and the fall in traffic. For two products that gap had opposite signs.
- Deposits: demand−75%
- Deposits: traffic−37%
- Debit cards: demand−35%
- Debit cards: traffic−63%
Internal data of a large bank: Wordstat and web analytics, May 2025 and May 2026. Values are anonymised: absolute figures are altered and rounded, and relative changes are recomputed from the numbers shown.
In short
- If traffic fell less than demand, the site is holding up better than the market (deposits: −37% with demand −75%). If it fell more, the market drop is joined by a loss of its own (debit cards: −63% with demand −35%).
- The comparison holds only on one query sample and one horizon. The source data on deposits contain both “demand −75% in a year” and “demand above Q1”. They are about different horizons.
- A rough screen across journal subsections shows gaps in both directions, from +26 to −41 percentage points. It is a reason to go to specific pages, not a conclusion about cause.
The gap between demand and traffic
Demand alone proves nothing: it falls across the whole market. The useful quantity is the difference: by how many points traffic falls faster or slower than demand.
| Product | Demand, YoY | Traffic, YoY | Gap | What it means |
|---|---|---|---|---|
| Deposits | −75% | −37% | traffic better than demand by 38 pp | A gap in the site’s favour, but the demand and traffic samples differ: it is a screen |
| Debit cards | −35% | −63% | traffic worse than demand by 28 pp | A loss of its own is added to the market drop |
For deposits the gap favours the site, for cards it goes against it. But demand here is a broad pool of topic queries and traffic is the whole section, brand included; for cards the demand horizon is not stated in the source. For deposits the source itself draws the opposite conclusion: the fall in SEO traffic cannot be explained by demand alone. So this is a screen, not a verdict; look for causes in results, page freshness and AI blocks.
Horizon and sample: why two “correct” conclusions argue
In the source analytics on deposits two statements sit side by side: demand fell 75% in a year, and “the overall level of queries remains above Q1”. They do not contradict each other, but they say different things.
- “−75% year over year” compares May with May of last year, possibly with a demand spike last year;
- “above Q1” compares May with the start of this year for the query “open a deposit”;
- the query set differs between the two comparisons: a general pool for the topic versus one specific query.
The rule: to explain a specific traffic drop, take demand for the same queries and the same period. Demand “in general for the topic” is background only.
What the data on savings and settlement accounts say: base demand fell 22–23% in May against April, brand demand 41–42%. Here the traffic drop for savings accounts (−13% or −17% vs April — the source gives two figures) is smaller than the drop in demand and does not outrun it; there are no traffic data for settlement accounts.
A rough screen across journal subsections
For journal articles we put the popularity of tracked queries next to the subsection’s visits. A caveat: demand is counted for selected pages and visits for the whole subsection, so this is a screen, not an exact reconciliation. The page set here is the one the source compares between April and May; for the annual set the source gives different demand values, and the gaps there differ.
| Journal subsection | Query demand, YoY | Visits, YoY | Gap, pp |
|---|---|---|---|
| Mortgage | −73% | −67% | +6 |
| Investments | −35% | −56% | −21 |
| Deposits and accounts | −33% | −74% | −41 |
| Business | −10% | −50% | −40 |
| Safety | −41% | −15% | +26 |
| Lifestyle | −14% | +8% | +22 |
| Transfers | −14% | −13% | +1 |
| Card topics | −11% | +5% | +16 |
Where visits fell far deeper than demand (deposits and accounts, business, investments), look first at outdated pages, pages with a year in the title and deadline pages. Where visits hold better than demand, queries outside the tracked set are mixed in.
What to measure demand with and where it lies
- Exact-match Wordstat. The rank tracker collects popularity for the exact phrase. Some real wordings are invisible that way, so check against broad match.
- Hidden phrases. Web analytics hides queries with fewer than ten visits, so decrypted phrases do not cover everything.
- Google Trends. It shows relative interest on a 0–100 scale within the chosen period, not a number of queries. Good for spikes and seasonality, not for absolute volume.
The analytics were checked exactly that way: exact match first, then broad match for the pages with the largest drop. For those pages the demand trend was downward too.
Demand or site: a six-question check
Answer “yes”, “no” or “don’t know” for your pair of queries and pages.
- Are demand and traffic taken for the same queries?One sample
- Is the horizon the same: the same month, the same year?One period
- Is demand checked in both exact and broad match?Phrase coverage
- Is a demand spike in the base period (law, news, deadline) accounted for?A normal base
- Is the gap between demand and traffic computed in points and recorded?The gap itself
- For pages with a large gap, is the query and position report opened?Pages, not a section
This review’s own working scale, not an industry standard. Any “don’t know” answer makes the page show “Gaps remain” and no verdict.
How to use the gap between demand and traffic
- Compute the gap in points and record it next to each key section.
- Send large negative gaps to page-level review: freshness, positions, AI blocks.
- Do not treat positive gaps as a win: check whether queries outside the sample are mixed in.
- For event pages take demand only within their own calendar (deadline pages).
- Use Trends demand as an interest index, not as volume.
FAQ
Can a traffic drop be explained by demand alone?
Only when the sample, horizon and gap estimate match. If traffic falls faster than demand, demand explains part, not all.
What if demand grows and traffic falls?
That is the cleanest signal of a loss on the results or page side. Go to positions, impressions and CTR in Search Console.
Why are so few queries decrypted?
Web analytics hides phrases with few visits, so low-traffic pages are checked through broad-match Wordstat.
Does Trends work instead of Wordstat?
As a complement. Trends gives a relative scale, not a number of queries.
Sources and method
- Search Console Help: impressions, position and clicks — impressions as part of reconciling with demand
- Yandex Wordstat and Google Trends (as tools) — no links to individual reports
- Internal data of a large bank: Wordstat, rank tracker, web analytics (2025–2026)
Method: data of one large bank, May 2025 and May 2026. Values are anonymised: absolute figures are altered and rounded, and relative changes are recomputed from the numbers shown. The gap in points is our calculation. The journal table is a screen: demand is counted for selected pages and visits for the whole subsection. As of 23 Oct 2026.