maitiq guide
Google Ads lead generation: capture demand and measure lead quality
maitiq · Published
Google Search campaigns can reach people directly when they are actively looking for a relevant solution. Whether Search suits a business depends on demand, economics, response capacity and measurement. A landing page that explains the offer clearly and a shared definition of lead quality between marketing and sales remain essential.
When does Google Ads suit lead generation?
First check whether prospects can put their problem or the solution they are looking for into words. A Google Ads lead programme suits you particularly well when relevant search queries exist, the business can handle enquiries promptly and a closed deal carries enough economic value. With unknown categories, very small audiences or predominantly visual demand, Search tends to capture demand rather than build it.
Create a demand map from problem, solution, provider choice, price question, comparison and brand. Assign each group a landing page and a sensible next step. Avoid forcing every linguistic variant into its own campaign. Search intent and the expected decision are the structure, not the wording alone.
Why «more leads» is not a sufficient goal
A form submission can be spam, an existing customer question, a job application, a supplier enquiry or a suitable new customer. So define a valid enquiry before the campaign starts. Describe the minimum information required, target geography, offer fit, duplicates, the spam rule and who is responsible for review.
MQL (Marketing Qualified Lead) and SQL (Sales Qualified Lead) come after that. An MQL meets agreed marketing criteria. Whether a lead counts as an SQL follows the organisation's documented rule; acceptance by sales can be part of that rule but is not automatically the same as an SQL. The terms are only useful if the criteria, the accountable person, timing and reason are recorded. The level of ad spend, a long session or a large company does not automatically qualify anyone.
Which search intents belong in a lead campaign?
Distinguish at least:
- problem-oriented search: the user does not yet know the solution;
- solution-oriented search: a category is actively searched for;
- comparing providers: partner, agency, software or consulting;
- cost-oriented search: price, budget, quote or total cost;
- brand-oriented search: a specific provider or product;
- support for existing customers: login, help, hotline or customer service.
Not every group needs the same ad or landing page. Support and job enquiries can be treated as search intents that do not match the campaign goal. Exclusions, however, need evidence; zero conversions alone are not proof of irrelevance.
How should the landing page be structured?
The landing page answers the central question without detours. It names the offer, target audience, requirements, process, limits and next step. A contact form asks only for the data needed for a reply or for qualification. It explains what happens after submission.
For complex B2B offers, a low-commitment intermediate step can make sense: a checklist, scorecard, calculator or read-only assessment. The asset must improve the decision; a download that merely collects contact details creates no quality.
Which conversion is optimised?
For form leads, use a confirmed, recorded enquiry as the lead event. A reliable success-only browser event can represent that confirmed submission; a generic click or an unverified confirmation cannot. Form start and button click remain diagnostic signals. Calls can also qualify as a valid enquiry when they are captured and qualified. Check that the same enquiry is not counted primarily more than once via a direct tag, GA4 and an import.
Google supports qualified and converted leads as later offline goals. A later signal can lie closer to business value, but it arrives less often and with a delay. Separate the funnel stages for reporting and choose a suitable bidding goal without double counting the same enquiry. Keep further stages secondary in reporting until a controlled switch is justified. Primary and secondary alone do not guarantee exclusion from bidding: secondary actions in a custom goal used by the campaign can still serve bidding.
How does sales feedback flow back?
Marketing and sales need few, unambiguous status values. For every change, the lead ID, new status, time, actor and reason are stored. Reasons can be, for example, suitable, outside scope, no response, duplicate, spam or existing customer. Free text alone is poorly suited to stable analysis.
Feedback must not happen only for won customers. Systematic disqualifications also show which search intents create false expectations. The campaign does not learn automatically from every CRM field; a defined import and approval path remains necessary.
How do you compare Google Ads with other channels?
Compare channels using the same acquisition-period and cohort definitions, the same maturation cutoff and the same quality stages. It is not about following literally the same individuals in every channel, but comparable groups. Deduplicate cross-channel attribution when the same enquiry is credited to several channels, and state the denominator for every rate. For each channel, report cost, valid leads, MQL, SQL, opportunities, customers and the time needed to assess lead outcomes. SEO can capture existing demand over the long term, paid social can create new attention, and partners and referrals can transfer trust. Search offers the particular possibility of responding to explicit search intent.
A channel with a low CPL can lose on cost per SQL. A channel with few leads can win on contribution margin, meaning revenue after directly attributable costs. So avoid the statement «Google Ads is always the strongest channel». The defensible statement is: where active demand exists, Search can be a particularly direct, controllable and measurable intent channel.
Which metrics belong in the weekly review?
Operational: search queries, clicks, cost, valid leads, tracking errors and processing time. Qualitative: MQL, SQL and disqualification rate by matured cohort, each with its stated denominator. Economic: cost per MQL, cost per SQL, cost per opportunity and later CAC or contribution margin. Show missing values as not available.
A weekly review identifies problems; it does not prove long-term effect. Pipeline and revenue need time before outcomes can be assessed reliably. Mark the cut-off date and let older cohorts mature instead of mixing new and immature data.
How do you optimise without losing quality?
Prioritise measurement and offer problems first, then search intent, landing page and budget. Analyse patterns in qualified and disqualified leads. A single keyword with little data rarely justifies a hard decision. Changes are documented as a hypothesis with a baseline, expected signal, observation period and, where technically possible, a way back; where reversal is not possible, document the irreversibility and its limits.
A 90-day decision rhythm
In the first phase, demand groups, the valid lead definition and tracking are reviewed. The second phase observes search terms, landing pages and early quality. In the third phase, MQL, SQL and opportunities mature. On that basis you decide which groups deserve more budget, a different message or an exclusion.
The rhythm is not a rigid market model. The 90 days are an illustrative planning horizon, not a required wait: exclusions, budget safeguards, tracking repairs or approved message corrections can happen earlier when the evidence is exact. An exactly evidenced irrelevant or strategic exclusion need not wait for MQL/SQL maturity, while performance-based reallocations need relevant mature data. With a short sales cycle the rhythm can be more compact, with complex B2B longer. What matters is that operational click data is not optimised against immature business results. Record every change, cohort and data version.
Frequently asked questions
How much search volume does a lead campaign need?
There is no universal minimum. Search volume, click price, deal value, match logic, geography and conversion rate all interact. Start with core search terms and a scenario calculation. Very long search phrases can be relevant even if the planner shows no volume; however, they do not automatically justify their own pages or campaigns.
What is a qualified Google Ads lead?
A lead is qualified when it meets business qualification criteria agreed in advance. These can include offer fit, target market, need, role or a realistic timeframe. The exact definition rests with marketing and sales. Google Ads, the level of ad spend or a scoring model must not invent it on its own.
Should you optimise for MQL or SQL?
Use the latest stage that comes back often enough, stably and promptly. SQL sits closer to the sales result, but it can be rare or inconsistent. MQL can be faster operationally. Test the data quality and keep other stages visible as secondary for now. Whether a secondary action still takes part in bidding depends on the custom goal used by the campaign.
Are long search terms automatically better?
No. Long tails can express precise intent, but they have less data and often fluctuating coverage. Check the search term, the offer and the actual lead quality. A curated long-tail list alone supplies no measured volume; so test actual demand first with your own data before you create keywords or content around those searches.
How quickly can lead quality be assessed?
That depends on the sales cycle. Validity can be established immediately, MQL or SQL after days, and revenue only after months. Report immature cohorts separately and define the time needed to assess lead outcomes. An early CPL improvement does not prove that deals will close.
How maitiq translates measurement into better Google Ads decisions
maitiq reads search terms on a recurring basis, prepares negative keyword and long-tail suggestions and lets people decide on impact and risk.
Search can directly reach people who are actively looking for a relevant solution. Whether Search fits depends on demand, economics, response capacity and measurement. maitiq helps use the available lead-quality evidence within the agreed scope: search intent, valid enquiry, later quality and economic outcome are connected as far as the evidence actually allows.
What the read-only audit reveals about the measurement chain
The first step shows which search patterns consume budget, which demand should be protected or expanded and whether the conversion signal is robust enough for lead optimisation. You do not get an artificially lengthened list of results, but the supported checks, remaining evidence gaps and the next decision. A Google Ads audit remains read-only: it creates proposals and a report, but does not implement any change in the account and is not a guaranteed verdict on the whole conversion chain.
Decision rule: Always assess demand as a chain of search intent, click, valid lead, qualification and economic outcome.
Sources and how to interpret them
The linked Google help pages explain how to create a Search campaign and answer the most common questions about offline conversion imports, including qualified and converted goals, data sources, source-time reconciliation and the individual stages. The page on conversion goals additionally shows how primary and secondary actions are managed. They are not used to derive market prices or proof of success. Information on how maitiq works is available at maitiq.com.
Google Ads access alone does not evidence the entire measurement chain and does not provide CRM or pipeline data. Google also permits an internal lead system or a spreadsheet for offline conversions; a CRM is not mandatory. maitiq includes relevant CRM or website records only when they are supplied and authorised within the agreed scope. maitiq helps use the available lead-quality evidence within the agreed scope of work.