Spent in the ad account: $10,000+ with zero conversions.
Contents
$10,000 Spent on Google Ads. Zero Leads. Here’s Exactly Why
1. Why it didn’t work
There are three fundamental problems stacked on top of each other. Fixing just one of them would not have produced results — all three had to be fixed at the same time.
1.1 Conversion tracking is set up incorrectly
The account has several conversion actions (a couple of lead form submissions and one offline conversion called “CRM Opportunity”, imported from the CRM), but none of them has a recorded value, and it is unclear whether the underlying triggers (form submission events, CRM sync) actually fire.
Without validated, value-based conversion tracking, there is no reliable signal for Smart Bidding to learn from, and no way to know whether the traffic that reached the website actually converted.
1.2 The keyword strategy targeted almost entirely the wrong audience
After reviewing the search terms report (all time, filtered by clicks), it became clear: the vast majority of paid traffic came from queries with no real path to buying an industrial B2B machine.
Examples with real spend:
| Search term | Clicks | Spend | Why it is irrelevant |
|---|---|---|---|
| jroll x10 (+ «for sale», «alternative», «price») | 100+ in total | $620+ | A €604 consumer portable device sold directly to consumers and currently marked “out of stock” on the manufacturer’s website — not an industrial production line. Zero overlap in purchase intent with the target B2B buyer. |
| automatic cone filling machine | 78 | $332.81 | Describes a competing technology category (cone-filling machines). The value proposition of the client’s product is that it does not use cones — it rolls straight joints. A user searching this query has already shown a preference for the opposite product category. |
| custom cones | 5 | $27.47 | The person is looking for consumable paper cones (buying consumables), not a $10,000+ production machine. |
| plate rolling machine / tube rolling machine / motorized bead roller / fabric rolling machine | — | $100+ in total | Equipment for metalworking and sheet metal forming. A completely different industry. |
| commercial rolled ice cream machine / puff chill rolling machine / snowdraft mini | — | $135+ in total | Equipment for rolled ice cream (a Thai dessert). Also the wrong profile. |
Across all non-brand search terms with clicks > 0 (312 unique search terms, $3,500.70 spent), less than 1% of queries actually match the client’s specific straight-rolling technology and target buyer.
The keywords that should have carried this campaign — “automatic pre roll machine”, “commercial pre roll machine”, “industrial joint rolling machine”, “automatic joint roller machine” — exist, have real monthly search volume (100–1K/month for several of them), and were never added to the account.
1.3 The landing page cannot convert
- The current landing page has no lead form anywhere on the page. An interested visitor has no way to request a quote, book a demo or leave contact details — there is simply no path to a CTA. This is exactly what I look for in a website CRO audit.
- On mobile, the page requires excessive scrolling through marketing copy before reaching any product information, and it still ends without a way to take action. Given that a significant share of paid search traffic is mobile, this alone can bring conversion down to practically zero regardless of keyword quality.
- The page looks polished on desktop, but visual polish without a functional conversion path does not generate leads.
1.4 Additional structural problems that make the above worse
- Brand keywords (company name, product name, “[brand] machine”) were mixed in the same campaign with generic/category keywords. A user actively searching for the brand name is a fundamentally “hotter”, more interested visitor than someone searching a generic category query, and should be separated into its own campaign with its own budget, bids and reporting — otherwise brand performance masks (or is masked by) the poor performance of everything else.
- The bidding strategy was set to “Maximize clicks”. This strategy is optimized purely for traffic volume, not lead generation. Combined with irrelevant keywords, it actively encouraged spending more to get more clicks on queries that were never going to convert.
- A separate “Competitors” campaign targeted competitor brand names and product SKUs directly. In practice this rarely works — a person searching for a specific competitor brand or model name is usually already deep in the decision to buy that particular product, and is very unlikely to switch because of a competing ad.
2. What it takes to make it work
- First, fix and validate conversion tracking. Set up one primary, value-based conversion goal — a submitted lead form on the new landing page — before spending another dollar on ads. The offline conversion from the CRM can be added later, once there is enough volume of quality leads for it to make sense and once it is confirmed that the CRM integration actually passes data.
- Rebuild the landing page with a real conversion path. At minimum: a visible lead form (name, email, company, phone), a clear CTA above the fold and a mobile-first layout that does not require long scrolling to get to the point. The content quality can mostly stay as is — what is missing is the mechanism to actually capture the lead.
- Rebuild the keyword architecture around real purchase-intent queries. Center the campaigns on generic, category queries that match the client’s actual technology and buyer:
- automatic pre roll machine
- commercial pre roll machine
- industrial joint rolling machine
- automatic joint roller machine
- pre roll packaging machine
- Separate brand keywords into their own campaign with its own budget and tracking, apart from generic/category campaigns.
- Switch from the “Maximize clicks” bidding strategy to a strategy aligned with lead generation (for example, “Maximize conversions” or “Target CPA”) as soon as conversion tracking is validated and there is a baseline volume of real conversion data to optimize on.
- Drop the competitor brand campaign or fundamentally rethink it. If competitor targeting is kept at all, it should be a small, separately budgeted test — not the main traffic source — and the message should focus on the real advantage of the client’s product, not just bidding on the competitor’s name.
- Use CRM conversion data to optimize campaigns once the above is in place — send signals about qualified/best leads back to Google Ads so that Smart Bidding learns from lead quality, not just quantity.
3. Why we can’t forecast CPL / lead volume right now
An honest forecast requires two things we do not have right now:
- Real cost-per-click data for relevant keywords. Keyword Planner does not return CPC estimates for this account’s real target keywords (low-volume/low-competition categories often get no bid estimates from Google’s tool), and the only CPC data that exists in the account comes from irrelevant traffic under a “Maximize clicks” strategy with a CPC cap — which says nothing about what relevant traffic will actually cost. Making up a number here would be a guess, not a forecast.
- A landing page that can convert. The current landing page has an effective conversion rate of 0% (there is no lead form). Any projection of lead volume or CPL based on the current website would be a projection from a broken funnel.
What we can say based on industry benchmarks: a well-built, focused landing page in a narrow B2B niche in the US market usually converts in the 5–10% range (visitor → lead), with 5% being a conservative starting assumption. Once the landing page is rebuilt and the keyword set is cleaned up to truly relevant purchase-intent queries, we expect a substantially higher conversion rate than the current 0% — simply because qualified traffic will be sent to a page where there is somewhere to “go” next.
Recommended path: keep the current monthly budget level at the start, rebuild the landing page and keyword structure first, and then let 3–4 weeks of clean traffic generate the real cost and conversion data needed to build a genuine, well-founded forecast — instead of naming a made-up number now.
Summary
| Problem area | Current state | Required fix |
|---|---|---|
| Conversion tracking | No values, unverified triggers | Set up a single goal based on lead form value, validate before spending |
| Keywords | ~99% irrelevant (personal devices, cone competitors, unrelated industries) | Rebuild around generic B2B category queries; a massive negative keyword list |
| Landing page | No lead form, broken mobile UX | A new page with a visible form + mobile-first layout |
| Campaign structure | Brand mixed with generic; a “Competitors” campaign on rivals’ SKUs | A separate brand campaign; drop/limit competitor targeting |
| Bidding strategy | Maximize clicks | Switch to “Maximize conversions” / “Target CPA” after tracking is fixed |
| Forecast | Not possible — no real CPC data, 0% landing page conversion | Benchmark only: 5–10% landing page conversion is realistic after the rebuild |
Another example where the account said one thing and the money said another — duplicate purchases and micro-conversions in bidding at a tea store — is in the article on auditing a $500 contractor.
Another example of tracking that shows conversions that do not actually exist: non-unique clicks, email clicks and duplicate thank-you page events — in the article “GTM Tracking for $750 a Month”.
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