When Google Ads stops producing leads, the two usual reactions are also the most expensive: raise the budget, or switch the campaign off. Both skip the diagnosis. In most underperforming accounts the money is not lost in the auction — it is lost in the search terms, the tracking and the follow-up.
- What is the short answer?
- Where should the audit start?
- Does the objective match the business outcome?
- What to look for in the search terms report?
- Why update the negative keyword list every week?
- How does match type burn through a budget?
- Is conversion tracking set up correctly?
- Are location settings pushing spend outside Tashkent?
- Does the landing page keep the ad's promise?
- Is the ad copy generic or intent-led?
- How should the budget be split across campaigns?
- Who follows up on a lead, and how fast?
- When does raising the budget make sense?
- Which mistakes cost the most money?
- What is the full audit checklist?
- What do accounts look like after this work?
- What should you read next?
- Frequently asked questions
- How does 101 Digital audit an account?
What is the short answer when Google Ads is not working?
"Google Ads does not work" is almost never a statement about the channel. It describes one account, with one set of settings, pointed at one page, feeding one sales process — and any of those layers can break the result alone.
The belief to dismantle first is that spend and results move together. An account with the wrong conversion action marked as primary gets worse the more you spend, because the bidding optimises harder towards the wrong signal. Pausing is not free either: you lose the baseline you would need to prove what went wrong.
So the order is fixed: measure correctly, clean the traffic, fix the destination, then decide about money.
Where should the audit start?
Start along the conversion path, not in the campaign settings. It runs from a query typed in Tashkent, to an ad, to a page, to a form or a call, to a person who answers, to a deal recorded somewhere.
We walk it backwards first, from the client's own records, because that version nobody can dispute. When the number of real enquiries and the number Google Ads reports disagree widely, that gap is the first finding.
| Symptom | Most likely cause | What the audit does |
|---|---|---|
| Clicks but almost no enquiries | Query-to-offer mismatch, or a page ignoring the search | Read search terms against the page; test the form |
| Leads arrive but are poor quality | Broad match, thin negative list | Segment by intent; build negatives; split high-intent |
| Budget gone by the middle of the day | One generic keyword eating the budget | Cap top-spending terms; unbundle intent levels |
| Optimisation pulls the wrong way | A fake primary conversion | Re-declare primary actions; drop page views and clicks |
| Cost per click rose on its own | New competitors or wider targeting | Check auction insights, ad relevance and location settings |
Four of those five are solved without touching the budget.
Does the campaign objective match the business outcome?
The traffic objective trap
The objective is not a label; it tells the system what to buy. Campaigns built to maximise clicks look excellent while the phone stays silent. The test is blunt: would you pay a salesperson a bonus for what the account is optimising towards? Nobody pays a bonus for a session.
Calls, forms and Telegram clicks
For most businesses here the real outcome is a call, a completed form, or a click through to a messenger. Telegram is the most widely used messaging platform in Uzbekistan, and if that click is untracked, part of your result is invisible — so the algorithm learns to avoid the audiences producing it.
Purchases and longer cycles
Online purchases must carry a value, not just a count. Where the sale closes offline weeks later, the account needs an intermediate outcome plus a way to reconcile it with revenue; optimising to raw lead count in a long-cycle business produces cheap, useless leads.
What should you look for in the search terms report?
Keywords are what you asked for; search terms are what you paid for. Export at least ninety days and sort by cost rather than clicks. The share of irrelevant terms comes out visibly high in most accounts we open, and reading them in bulk makes it impossible to ignore.
Terms close to a sale
A service plus a city, a product plus the word price, anything phrased as an urgent need. These deserve their own ad group, copy and budget line, because they convert at a different rate entirely.
Research-stage terms
Queries starting with what, how or why belong to people learning, not buying. Move them to content and revisit paid coverage once the commercial side pays.
Irrelevant, brand and competitor terms
Terms sharing a word with your keyword and nothing else with your business go onto the negative list, as do vacancy and salary queries. Brand terms deserve a small separate campaign; competitor terms are a deliberate strategy, not an accident.
| Search term group | Intent | Action |
|---|---|---|
| Service plus city, price or buy | Ready to act | Keep; move into a high-intent group with its own budget |
| What, how, why questions | Learning | Remove from search; cover with content |
| Unrelated meanings of the word | No relevance | Add as exact or phrase negatives |
| Your brand and misspellings | Already looking for you | Separate brand campaign, low bids |
| Competitor brand names | Comparing options | Only as a deliberate capped campaign |
| Vacancy, salary, job | Looking for work | Permanent account negatives |
Why update the negative keyword list every week?
Because the queries change every week. New phrasings appear, a news story makes an unrelated word popular, and the account pays for it within days. Weekly suits most accounts; above roughly $2,000 a month, twice a week is better.
There is a local wrinkle. Search here is genuinely multilingual: one user will mix Uzbek and Russian in a single query, sometimes in two scripts. The same irrelevant concept therefore reaches your ads through several spellings, so build the list in both languages and add transliterated variants.
Keep two levels — account-level negatives for what will never be relevant, campaign-level ones for terms relevant elsewhere — and check whether a term ever converted before blocking it.
How does match type burn through a budget?
Match type decides how far Google may travel from your keyword. Broad travels furthest, and in a small account with a thin negative list it can consume a month of budget on queries you would never have chosen.
This is not an argument against broad match: with clean data and real volume it finds demand that exact and phrase never reach. The failure mode is using it early, in a small account, with weak signals — exactly where most businesses are when they decide the channel does not work.
A safer default when rebuilding: exact match for terms you know convert, phrase for the family around them, broad only in a separate capped campaign once tracking is verified.
Is conversion tracking set up correctly?
Primary and secondary conversions
Only primary actions are used for bidding. Real enquiries — form submissions, calls of meaningful length, messenger clicks — belong in primary; everything else goes in secondary, where it is observed without steering the spend.
Fake conversions
A page view is not a conversion. Nor is a button click, unless that button is the only route to a real enquiry. When these sit in primary, cost per conversion looks wonderful and the algorithm spends the month buying people who scroll.
The thank-you page and duplicate counting
A thank-you page reachable only after a genuine submission is still the cleanest signal. Check it cannot be opened from navigation and that refreshing does not count again, and count one conversion per click.
Server-side tracking and offline results
Browser tracking loses events to blockers and weak mobile connections; offline import closes the gap by pushing back which lead became a customer. Test the chain by hand — we have audited accounts where a form had been silently broken for weeks and every report measured nothing.
Are location settings pushing spend outside Tashkent?
By default, ads reach people merely interested in your location, not only those in it. For a clinic in Tashkent that decides whether you pay for patients or for browsers on another continent. Set targeting to presence, then add exclusions.
Tashkent behaves like a different market from the regional cities: denser competition, higher cost per click, a different language mix. If they share a campaign, the capital absorbs the budget by auction pressure and you conclude, wrongly, that the regions do not respond.
The same applies one level up. In a multi-country account, Uzbekistan should never share a campaign with a neighbouring or head-office market: country-level separation gives separate budgets, bidding and reporting.
Check the billing side too. Accounts run from abroad on USD billing face caps that look generous in dollars but behave differently against local so'm pricing when the rate moves, plus payment failures that pause campaigns at the worst moment.
Does the landing page keep the ad's promise?
An ad makes a specific promise and the page has about three seconds to confirm it. When the ad says same-day delivery in Tashkent and the page opens on a corporate homepage, the visitor has gone — and you paid for that visit.
Three checks matter: continuity (the headline repeats the ad and the query), proof (real photographs, names or a price range on the first screen) and effort (a short form, a tappable number, a messenger link). Test all three on a real phone.
Page-side diagnosis is a subject of its own, covered in the guide to sites that get traffic but no enquiries. For this checklist one question is enough: does the page answer the exact query you paid for?
Is the ad copy generic, or does it answer the intent?
Generic copy is expensive twice: it attracts the wrong clicks and lowers the relevance signals that set your price for the right ones. Quality services at affordable prices tells a searcher nothing.
Good copy repeats the searcher's own words, states one concrete differentiator — a timeframe, a guarantee, a price range — and sets an expectation the page can confirm. Write it after reading fifty real search terms, and point sitelinks at genuinely different pages.
How should the budget be split across campaigns?
Ring-fence the high-intent terms
One campaign holding every keyword is the structural version of this problem: the cheapest terms take the clicks and the terms closest to a sale get the remainder. Commercial terms need their own campaign and a budget nothing else can raid.
Keep the brand campaign separate
Brand traffic is cheap and converts well, so mixing it in flatters every average and hides how everything else performs. Separate it and read it as its own line.
Reserve a test budget
Ten to twenty per cent of monthly spend should be available for deliberate tests. Without a reserved budget, testing happens by accident, with money meant to produce this month's leads.
| Line item | Typical monthly figure | Note |
|---|---|---|
| Google Ads account management | from $400 | Audit, restructuring, weekly search-term work |
| Performance marketing | from $500 | Paid search plus other channels, one model |
| Landing page for the campaign | from $300 | Often the highest-return fix |
| CRM integration and lead routing | $500–$1,500 | One-off; makes offline results visible to bidding |
| Media budget | By market and goal | Follows the audit findings, not the reverse |
Management, a proper page and CRM integration together often cost less per month than the media wasted on unfiltered search terms in the same account. (Source: 101 Digital 2026 service price list)
Who follows up on a lead, and how quickly?
An audit that stops at the edge of the ad account misses where most paid leads are lost: a lead nobody answers costs exactly as much as one that converts.
Speed is decisive: contacting a lead within five minutes rather than thirty made it around twenty-one times more likely to be qualified — a different business outcome from identical spend. (Source: Lead Response Management Study — Oldroyd, MIT/InsideSales)
Time zones make this structural for internationally managed accounts. If ads run in Tashkent while the team answering sits several hours behind, a lead arriving at ten in the morning may not be touched until the afternoon, by which time the searcher has spoken to two competitors. The fix is a local first responder, an automated acknowledgement, or ad scheduling matched to the hours someone can answer.
Expectations must match the cycle. In B2B the median runs to around 84 days, with cost per lead typically between $560 and $2,800 depending on market and deal size, so an account judged after three weeks will always look like a failure. (Source: 2026 B2B sales cycle and lead cost benchmarks)
This is where CRM becomes a measurement requirement rather than an administrative preference. The mechanics for a small team are in the guide to CRM automation for small businesses in Tashkent; the minimum is a same-day response, every enquiry recorded with its source, and one named owner.
When does raising the budget make sense?
Three conditions, all required. Tracking is verified end to end and counts only real outcomes; cost per qualified lead — not per raw lead — is at or below what the business can pay and still make a margin; and the campaign is limited by budget rather than by demand, which impression share lost to budget shows directly.
A real account shows how this plays out. When we took over the campaigns for İnci Diş, a dental clinic, everyone assumed more budget was needed; we added none in the first phase. We rebuilt the measurement, stripped out irrelevant search terms and separated high-intent keywords from general ones. In our own reporting we then saw appointments rise by 45%, return on ad spend reach 4.2x and cost per lead fall by 30% — the saving coming from cleaning what was already being paid for. (Source: 101 Digital case data)
| Phase | Work done | Metric watched |
|---|---|---|
| Days 0–30 | Audit; tracking rebuilt and tested by hand; search terms, negatives and targeting corrected | Share of spend on relevant terms; conversions firing |
| Days 30–60 | Restructuring by intent; brand separated; copy rewritten from real queries; page aligned with the ad | Cost per qualified lead; page conversion rate |
| Days 60–90 | Bidding moved onto clean data; budget reallocated to proven groups; CRM results imported | Return on ad spend; revenue per lead; impression share lost to budget |
Ninety days is the shortest period in which measurement can be fixed, structure rebuilt and enough data accumulated to decide. Shorter reviews measure noise.
Which mistakes cost the most money?
| Mistake | Why it is expensive | Fix | Time |
|---|---|---|---|
| Page views or clicks as primary conversions | Bidding buys non-buyers harder as spend rises | Re-declare primary actions; verify each by hand | 1–2 days |
| Location left on presence-or-interest | Budget leaks to people who will never buy | Switch to presence; add exclusions | Under an hour |
| Broad match with a thin negative list | You pay for queries nobody would have chosen | Tighten match types; build negatives in both languages | 2–3 days, then ongoing |
| All keywords in one campaign | Generic terms absorb the budget first | Split by intent; ring-fence commercial and brand | 3–5 days |
| Ads pointing at the homepage | The promise is not confirmed, so paid visits bounce | Build a page per campaign theme | 1–2 weeks |
| Smart bidding with no conversion history | The algorithm learns from noise | Keep manual control until volume is real | 30 days of data |
| Nobody owns the follow-up | Paid leads go cold; advertising takes the blame | Assign an owner; same-day response rule | 1 week |
What does the full audit checklist look like?
Run these in order: measurement, traffic, destination, money.
- Compare your own record of enquiries with what the account reports.
- List every conversion action, confirm which are primary, and remove page views, scroll events and button clicks from that set.
- Submit a real form, place a call and click the messenger link from a phone; confirm each is recorded.
- Count one conversion per click; confirm the thank-you page needs a genuine submission.
- Export ninety days of search terms, sort by cost, classify by intent.
- Build account- and campaign-level negatives in Russian and Uzbek, with transliterations.
- Restrict broad match until conversion data is trustworthy.
- Target by presence; separate Tashkent, the regions and each country.
- Open every destination on a real phone: load speed, headline continuity, form length.
- Rewrite ad copy from real search terms; audit extensions and sitelinks.
- Split the budget: high-intent, brand, reserved test.
- Confirm billing has a backup payment method.
- Define who responds to a lead, within what time, and where it is recorded.
- Only then decide whether the budget changes, against the three conditions above.
What do accounts look like after this work?
The projects below are accounts where this sequence was applied — measurement, traffic quality, structure, then budget.
Our Client Results in This Area
Digital marketing for a Tashkent-based IVF and women's health center
Google Ads management for Turkey's sole authorized representative for West Africa cargo tracking certificates
Google Ads, Meta Ads and CRM integration for Istanbul's leading dental clinic chain
What should you read next?
- Google Ads and PPC advertising in Uzbekistan — building campaigns here from scratch.
- Your website gets traffic but no leads — the page-side diagnosis in depth.
- CRM automation for small businesses in Tashkent — recording leads so the account learns from revenue.
- Working with a Google Ads agency: benefits and ROI — if this needs a dedicated owner.
Frequently asked questions
Usually one of four things: tracking measures something that is not a real enquiry, the search terms report is full of queries with no commercial intent, the ad points at a page that ignores the query, or nobody responds quickly enough. The settings and the follow-up are the problem far more often than the channel.
Five to ten working days for one account. The output is a list of findings ordered by how much each is costing, a corrected tracking setup, a cleaned search terms and negative keyword list, and a restructuring plan with effort estimates.
Smart bidding needs reliable conversion data. If the primary action is wrong, or the account produces a handful of verified conversions a month, automation optimises towards noise. Fix measurement first, gather thirty days of clean data, then set a target reflecting what a lead is worth.
You can, and with strong service pages it sometimes works. But if the destination is a general homepage, you are asking the visitor to find the answer after you paid for the click. A campaign-specific page repeating the ad promise is usually the highest-return fix.
Only when three things are true together: tracking is verified and counts real outcomes, cost per qualified lead is inside what the business can afford, and the campaign is losing impression share to budget rather than to low demand. If one is missing, more budget buys more of the same result.
Businesses whose customers already search for the solution by name and act quickly: repairs, medical and dental services, legal and accounting help, logistics, equipment supply. Where demand must be created rather than captured, social advertising and content build the audience first.
How does 101 Digital run an ad account audit?
We start with your own record of enquiries rather than the dashboard, walk the conversion path in the order above, test every conversion action by hand, and rank the findings by cost. What you get is a decision document: what is broken, what it costs, what the fix takes, and in which order.
If your account has stopped producing results and you would rather know why before spending more, see Google Ads management.
