Lead generation in niche markets: How to reach the right prospects

Here's an example: a roofing contractor invests CHF 3,000 in Google Ads and gets 50 leads. Only three become jobs, but together they're worth CHF 45,000. An online shop with the same 6% conversion rate would pause the campaign immediately. For the roofer, it was the most profitable month of the year.

Google Ads sees only the 50 form fills. The platform doesn't know which three became jobs, so it optimizes for volume instead of value. In this article, we cover three levers that change this and how to use them to win high-quality inquiries, even in small markets.

Lead values show Google which inquiries matter

The wrong optimization goals cost you lead quality

Most companies optimize for what's easy to measure: form fills, calls, newsletter sign-ups. But these contacts aren't equally valuable.

A real-world example: a CRM software provider had two conversion goals:

• Newsletter sign-up (low barrier)
• Demo booking (high barrier)

The campaign optimized for both. After three months:

• 180 newsletter sign-ups → 5 paying customers
• 35 demo bookings → 14 paying customers

Google Ads had optimized for newsletter sign-ups because their conversion rate was higher. The company was paying for volume, not quality.

Conversion values reflect the likelihood of a sale

The solution is conversion values. Each action gets a relative value. For a kitchen showroom, for example:

• General contact form: value 1
• Consultation booked: value 5
• Design request for a specific project: value 10

These values aren't based on actual revenue, which you don't know yet at the inquiry stage. They reflect how likely a sale is and the average order value. Ideally, they're based on contribution margin rather than gross revenue.

With these values, Smart Bidding learns to bid for the highest-value inquiries rather than the highest number of form fills. After two to three weeks, you'll usually see fewer inquiries, but much better ones.

How to implement lead values

1. Review your leads: Analyze your last 50 to 100 inquiries. Which contact type turned into jobs?
2. Assign values: Give each lead type a relative value. A scale of 1 to 10 is enough to start.
3. Set them up in Google Ads: Under “Goals” → “Conversions,” open each conversion action and enter its value. Only actions that represent revenue and profit should be set as primary and drive bidding.
4. Monitor: Give the change three to four weeks. Inquiry volume will likely drop while quality goes up.

Add simple lead scoring in your CRM: after the first conversation, tag each inquiry as “hot,” “warm” or “cold.” That way, you keep refining your values with real sales data. Our guide to conversion tracking in Google Ads explains how to set up conversions and values properly.

Sales data teaches Google which leads become customers

The link between click and closed deal is missing

An example from the trades: a prospect clicks your ad and fills out the contact form. Three days later, you call and set up an appointment. Two weeks later, they sign a CHF 12,000 contract.

Google Ads knows none of this. The platform only sees a form fill that cost CHF 45 and never learns that this exact contact generated CHF 12,000 in revenue. This gap between online measurement and the closed deal is the biggest problem in lead generation.

Enhanced conversions for leads close the gap

With enhanced conversions for leads, you report sales events, such as “deal won,” back to Google Ads with their actual value:

1. The inquiry comes in: Someone fills out your form, and Google records the conversion as usual.
2. Sales takes over: Your team contacts the prospect, sets up a meeting and sends a quote.
3. The deal closes: The customer signs, and you record it in your CRM.
4. The data goes to Google: You upload the closed deal with its value, matched via the hashed email address from the original inquiry.

Google can then report your campaigns' actual return, optimize for real closed deals and find more users likely to become valuable customers.

Since April 2026, enhanced conversions for web and for leads have been combined in one setting. Google Ads accepts user-provided data from the website tag, from Data Manager and via the API. For new setups, Google recommends Data Manager as the fastest option.

The technical setup is straightforward

You need:

• a CRM system, for example HubSpot, Salesforce or Pipedrive,
• the enhanced conversions setting enabled,
• a reliable process for reporting won deals back.

Many CRM systems offer a direct Google Ads integration. HubSpot, for example, can send closed deals automatically. If you don't have a fully built-out CRM, a spreadsheet with “Inquiry received,” “Deal won” and “Revenue” columns that you upload regularly is enough to start.

The key is an identifier Google can use to match the online lead to the eventual customer: email address, phone number or name plus address, each sent in hashed form. So make sure your contact form asks for at least an email address.

AI Max opens up additional queries in small markets

Small markets hold back traditional campaigns

In niche markets, traditional Google Ads strategies hit their limits:

• Many keywords have too little search volume.
• Small markets often produce only a few conversions. That can make automated bid optimization harder.
• Prospects often don't search for the product name; they describe their problem.

AI Max expands your Search campaigns

AI Max for Search campaigns isn't a separate campaign type, but a set of features you switch on in existing Search campaigns:

• Search term matching: Using broad match keywords and keywordless technology, Google finds additional relevant queries, including ones you haven't added as keywords.
• Text customization: Google writes ad copy tailored to each search, based on your ads, landing pages and assets.
• Final URL expansion: Google sends users to the page on your website that best matches their query.
• Brand settings: Brand inclusions and exclusions let you control which brands your ads should or shouldn't appear alongside.

AI Max appears as its own match type in the search terms report. A column shows whether a match came from broad match keywords or keywordless technology, so you stay in control of which queries get budget. Read more in our article on AI Max.

AI Max suits low-volume markets

A good fit for:

• B2B niches with low search volume,
• specialized services such as industrial cleaning, technical consulting or specialist software,
• regional markets with limited reach,
• complex products that users don't search for by name.

A poor fit for:

• brand campaigns where you want tight control over search terms,
• budget-limited campaigns. According to Google, AI Max has no effect here.

How to get started with AI Max

1. Values and sales data first: AI Max learns from your conversions. Without lead values and offline deal data, it mostly finds more form fills, not better customers.
2. Use your first-party customer data: Upload a list of your best customers via Customer Match. It helps Google identify similar users, which is especially effective in niches where you know your ideal customer precisely.
3. Review search terms regularly: Exclude queries that don't fit your offering, and check which pages final URL expansion sends people to.
4. Give it enough material: The more varied headlines and descriptions you provide, the better Google can combine them.

Conclusion: Lead quality starts with the right data

Lead generation isn't a numbers game. It's about winning the right contacts. The three levers build on each other:

• Lead values show Google which inquiries are worth more to your business.
• Offline sales data shows which inquiries actually turn into deals.
• AI Max builds on this to open up additional queries, even in small markets.

It all depends on clean data and a sales process measured from inquiry to closed deal. Then Google Ads becomes a precise lead generation tool that consistently delivers valuable inquiries.