If you run paid search for a SaaS, you’ve felt the squeeze: broader match types, more automation, rising CPCs, and buyer journeys that bounce between tabs, devices, and stakeholders. The good news? A handful of fundamentals still compound in 2025, if you wire them correctly. Below are six plays that reliably drive pipeline for SaaS today, with practical steps and pitfalls to avoid.
- Lead scoring → value-based bidding: feed scores back to Google with Enhanced Conversions for leads and bid to what matters.
- Qualification filters: deploy Lead Form assets and landing-page gates to screen out tyre-kickers.
- GEO + Dayparting: concentrate spend in the best postcodes and hours; pull it from the rest.
- Demo vs Free Trial targeting: split by intent and CTA; they behave differently.
- Customer Match lifecycle targeting: upload CRM segments, exclude customers, and lengthen lookbacks (now up to 540 days).
- Remarket the almost-converted: rescue abandoned trials/demos with RLSA, YouTube, and Demand Gen.
Play 1: Lead scoring → value-based bidding
Why it still works: Google’s bidding is only as smart as the signals you feed it. If all “conversions” are treated equally (ebook = trial = demo), Smart Bidding will happily optimise to the cheapest form-fill. Push qualified outcomes back into Google with a value attached and let the algorithm chase revenue, not raw volume.
How to run it
- Implement Enhanced Conversions for leads (ECL). Use Data Manager to map CRM events (e.g., MQL, SQL, Opportunity, Won) to Google conversions. Start by upgrading any legacy offline imports to ECL.
- Assign a lead score → monetary proxy (e.g., SQL=50, Opp=200, Won=actual LTV proxy).
- Switch high-intent campaigns to Maximise conversion value (add a tROAS once you have stability).
KPI to watch: value / conv., tROAS, opps per 1,000 impressions.
Bonus: WordStream’s 2025 SaaS PPC guidance opens with prioritising high-value prospects align bidding to the score, not the submit.
Play 2: Qualification filters that protect budget
Why it still works: Filtering early reduces spam and sales-burn. Google’s Lead Form assets support qualifying questions (including custom), so you can screen for company size, role, timeline, and budget before you pay to nurture.
How to run it
- Use Lead Form assets on Search with 1–3 must-have qualifiers (e.g., “Company size?”, “Job role?”, “Implementation timeline?”). Keep the rest on the landing page.
- Mirror questions on your onsite form (multi-step reduces spam) and pass fields to your CRM.
- Maintain a negative keyword spine for free, student, DIY, and competitor support terms; pause obviously low-value queries weekly.
KPI to watch: qualified submit rate (form → MQL), spam rate, SDR acceptance rate.
Play 3: GEO concentration + Dayparting
Why it still works: Most SaaS accounts still spray spend across every hour and region. Concentrating budget into proven postcodes and windows lifts efficiency without changing creative. Ad Scheduling and Location bid adjustments remain simple, effective levers.
How to run it
- Plot time-of-day × day-of-week performance from the last 60–90 days; restrict to hours with strong conv. rate and sales team coverage.
- Pinpoint locations: split high-performing regions into their own campaigns with dedicated budgets; down-weight the rest.
- Re-open hours/regions quarterly (things do change).
KPI to watch: CPA/tCPA by hour and region, impression share where it counts.
Play 4: Demo vs Free Trial — different CTAs, different intent
Why it still works: Trials and demos do not behave the same. In 2024 data, free trials tended to drive far more conversions per impression, while demo CTAs often posted higher conversion rates but fewer total conversions and the pattern persists across branded vs non-branded traffic. Segment and bid accordingly.
How to run it
- Separate campaigns (or at least ad groups) by CTA: Demo vs Free Trial.
- On non-brand/high-funnel, favour Trial messaging; on brand/BOFU, bias to Demo with credibility cues (SOC2, integrations, case counts).
- Track distinct conversion actions for demo vs trial and assign different values (e.g., Trial=80, Demo=120) to reflect sales velocity.
KPI to watch: conversions per 1,000 impressions (CPMI conv), SQL rate by CTA, payback.
Play 5: Customer Match for lifecycle targeting (and clean exclusions)
Why it still works: First-party data is gold. Customer Match lets you include/exclude current customers, cross-sell users, and target high-LTV accounts across Search, YouTube, Gmail, and Display and as of 2025 the max membership duration extends to 540 days, improving long B2B cycles.
How to run it
- Sync CRM lists (prospects, trials, churned, customers, ABM) via Data Manager/API; keep them fresh.
- Exclude customers from acquisition campaigns; build lookalikes/expansion from highest-value cohorts.
- Layer lists in Observation to collect data before turning on Targeting.
KPI to watch: overlap with brand traffic, CAC by lifecycle stage, churn-winback rate.
Play 6: Remarketing to the almost-converted
Why it still works: Not everyone finishes a signup in one sitting. Remarketing to trial and demo abandoners with Search (RLSA), YouTube, and Demand Gen consistently recovers pipeline especially when you reflect their last step in the creative.
How to run it
- Build audiences for started-trial-not-completed, booked-demo-no-show, visited-pricing-no-signup.
- Ads should resume the conversation (e.g., “Finish your setup 2 mins left”, “Watch the 3-min product tour”).
- Bid up on RLSA and cap frequency on YouTube; rotate creative every 2–4 weeks.
KPI to watch: assisted conversions, completion rate uplift, cost per recovered signup.
Wiring tips that make all six plays click
- Tame PMax for lead gen: if you use it, anchor the account with clean conversions and ECL; this reduces spam and teaches bidding what “good” looks like. Even Google’s own guidance and forum responses point back to Enhanced Conversions for Leads to improve quality.
- Attribution sanity: use data-driven attribution in Google Ads and compare models in the Model comparison report before making sweeping budget calls.
- Bidding ramp: start with Max Conversions to stabilise, then shift to Max Conversion Value (add tROAS when you’ve got reliable value signals).
- Account structure: keep brand, competitor, generic, and your CTAs (Demo/Trial) logically separated so budgets and learnings don’t bleed.
Example campaign blueprint (copy/paste)
- Campaigns
- Brand – Trial | Max Conv Value (tROAS 250–400%)
- Brand – Demo | Max Conv Value (tROAS 300–500%)
- Generic – Trial | Max Conv → Max Conv Value after 30–50 convs
- Generic – Demo | Max Conv → Max Conv Value
- Competitor – Demo | tCPA initially, strict negatives
- RLSA – Finish Signup | Manual → ECPC or tCPA (tight audiences)
- Campaigns
- Audiences: Customer Match (prospects, customers), Trials <30/60/90 days, Pricing viewers, Demo no-shows.
- Assets: Lead Forms (Search), YouTube skippable (30–60s demo), Demand Gen carousels, site-link to Pricing/Integrations.
- Controls: GEOs split by region; dayparting to sales hours + 2h buffer; frequency caps on YouTube.