Leadinfo: A Tactical Advertising Playbook

Leadinfo's Advertising Optimisation Plan

How activating 1st-party data is key to designing an advertising program that supports your transition from a tool to the European GTM platform for SMB.

Comparing your Target Audience to Dealfront

Leadinfo focuses on European SMB's with strong representation in Marketing and Software. Whereas Dealfront's audience is fragmented across geographies, company sizes and industries. This presents an opportunity to double down on your core SMB audience with targeted messaging that directly adresses customers anxieties and requirements.

Customer Locations

Company Sizes

Top Customer Industries

From "Identification" to "Intent"

"Lead identification" remains the high-volume foundational search term, the explosive growth of "b2b intent" reveals where the market's is heading. Leadinfo's strategy must capture the broader market while positioning Leadinfo as the leader in the high-value intent data space.

Google Search Interest: The Rise of "B2B Intent"

Competitive Ad Intelligence

Compare channel mix, creative formats and performance signals to pinpoint where Leadinfo can outmaneuver Dealfront

Advertising Volume & Mix

Ad Volume by Channel

Advertising Tactics Mix

Advertising Effectiveness Scorecard

Leadinfo Advertising Channel Deep-Dive

Google Ads

Content Type Analysis:

Primarily text ads (90%+) with some limited use of simple animated display ads (10%).

Strategic Analysis:

A hyper-efficient conversion engine heavily focused on capturing bottom-of-funnel demand. While effective, it misses the opportunity to engage users earlier in their journey who are researching broader problems, not specific solutions.

LinkedIn Ads

Content Type Analysis:

100% static image ads. No video content detected in the analyzed sample.

Strategic Analysis:

A strong mid-funnel strategy focused on lead capture through content (reports, webinars) and competitive positioning. This effectively captures users in the consideration phase but misses the trust-building and awareness opportunity that Dealfront is exploiting with video.

Meta Ads

Content Type Analysis:

Almost exclusively static images with text overlays. Minimal use of simple animations.

Strategic Analysis:

A solid mix of problem-aware (MoFu) ads for prospecting and direct-response (BoFu) for retargeting. As an uncontested channel by Dealfront, it's a key opportunity to build trust with warm audiences, but the lack of engaging video content limits its full potential.

Leadinfo Persona Targeting Analysis

Ad Messaging Allocation by Persona & Channel

Strategic Analysis:

Leadinfo's advertising is not yet fully taking advantage of persona-based marketing. The General / Both category dominates, indicating a one-size-fits-all message. LinkedIn is logically skewed towards the Marketing Manager but this neglects the Sales Executive end-user. Google's balanced approach is good for broad reach but lacks the sharp, persona-specific messaging needed to maximize conversion rates for each distinct audience and their unique pain points.

Leadinfo Ad Experimentation Analysis

Ad Creative Lifecycle by Channel

Channel Experimentation Score

Meta: Highly Effective and Agile (Score: 9.5/10)

The low average ad duration (9.1 days) and high standard deviation (6.01) demonstrate a rapid, agile testing methodology that is ideal for Meta. The clear evidence of both quickly killing underperformers (17 ads) and scaling winners (9 ads) shows a sophisticated, decisive optimisation process. This is the gold standard.

LinkedIn: Room for Improvement (Score: 5.5/10)

An average duration of 121 days allows for some learning, but it's not agile enough. While there are positive signs of optimisation (killing 7 underperformers), the overall pace is too slow to consistently produce high-performing ads and outpace competitors.

Google: Stagnant & At Risk (Score: 2.0/10)

An average ad lifespan of over a year (484.1 days) is a critical failure in experimentation. The absence of long-running "winners" indicates a "set it and forget it" approach that ignores fundamental ad principles, leading to wasted spend and missed opportunities.

Identifying the Messaging Opportunity

What Buyers Prioritize

What Customers Are Saying

Data-Driven Messaging Optimisation

This three-phase plan is grounded in the data and Leadinfo's product suite. It starts by perfecting the current high-performing message, then elevates the benefit to include the full sales solution, and finally establishes a defensible long-term position as a strategic platform.

Phase 1: Uncover & Convert

Core Message: "We turn your anonymous website visitors into actionable leads, saving you time and effort." Plus nullify market wide user anxieties regarding support and pricing transparency

Data-Driven Rationale: Leverages the highest positive customer sentiment scores ("Ease of Use," "Lead Generation") and reflects the proven efficiency of current ad messaging ("5 mins/week," "AUTOPILOT"). This is about being the best *visitor identification tool* on the market.

Phase 2: Engage & Accelerate

Core Message: "We don't just identify visitors: Autopilot, Chatbot and Contact Data enable sales to engage high-intent prospects instantly and accelerate sales cycles."

Data-Driven Rationale: Directly addresses the Sales Executive persona and their need for efficiency. This messaging connects visitor identification to the tangible sales outcomes delivered by the rest of the product suite.

Phase 3: GTM Intelligence

Core Message: "Leadinfo is the central intelligence layer that unifies marketing's ability to uncover intent with sales' ability to engage instantly, making your entire GTM motion faster and smarter."

Data-Driven Rationale: Unifies the marketing (Phase 1) and sales (Phase 2) value propositions into a single, cohesive platform story. This provides the strategic counter to Dealfront and meets the customer need for "seamless integrations."

Our Advertising Optimisation Plan for Leadinfo

This is a 3-stage plan to overhaul experimentation, deploy persona-specific creative, and activate 1st-party data for advanced personalization.

Stage 1: Optimise the Foundations: Overhaul Experimentation Velocity & Launch Video

  • Google Ads: Implement a mandatory 30-day A/B testing cycle for all core campaigns to combat the current 484-day average ad lifespan. Focus initial tests on ad copy that addresses "Data Quality" and "Support" to improve Quality Score.
  • LinkedIn Ads: Accelerate to a 6-week testing cadence for all evergreen campaigns. The goal is to move beyond a single "winner" ad and build a portfolio of high-performing creatives for different audience segments.

Stage 2: Win the Mid-Funnel: Deploy Persona-Specific Creative

  • For the Sales Executive: On LinkedIn and Meta, run campaigns with direct, ROI-focused messaging. Headlines like "Stop Wasting Time on Bad Leads" and "Automate Your Follow-Up with Autopilot." Use case studies and ROI calculators as the offer.
  • For the Marketing Manager: On LinkedIn and Meta, run campaigns focused on integration and campaign optimization. Headlines like "The Easiest Way to Prove Your Marketing ROI" and "Turn Website Intent into Smarter Ads." Offer technical guides and live demos.

Stage 3: Dominate with Advanced Personalization: Activate 1st-Party Data

  • Google RLSA: Create audiences from website visitors (e.g. "Pricing Page Visitors," "High-Intent Blog Readers"). Show these high-value users personalized ad copy when they search on Google.
  • LinkedIn Matched Audiences: Run hyper-targeted video campaigns. Example: Upload a list of companies in the "Marketing Agency" industry that visited the site and show them a video testimonial from another agency.
  • Meta Custom Audiences: Implement surgical retargeting. If a visitor from a target account browses pricing, retarget them on Facebook/Instagram with a simple ad featuring a customer quote about "Transparent Pricing & Great Value."

Data & Methodology

This report was compiled by analyzing a wide array of qualitative and quantitative data points from both the Leadinfo and Dealfront to provide an accurate view of the market and each companies marketing programs.

Items Analysed Across Reports

Top 10 Primary Data Categories:

  • Leadinfo Customer Review Data
  • Leadinfo's Website
  • Google Ads
  • Meta Ads
  • LinkedIn Ads
  • Public Customer Review Platforms
  • Google Trends Public Data
  • Dealfront Customer Review Data
  • Dealfront's Website
  • Proprietary Data Sources

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