We leverage the right online channels to reach the right audience, generate leads for business, and follow through offline to increase deal-closing rates. All backed by clear, measurable results.
Book Your Free Demo NowBy analysing the drop-off between impressions and engagement actions (such as clicks or enquiries), gaps were identified in audience targeting, intent alignment, and competitive positioning across marketing channels. Budget allocation and delivery strategies were then refined to optimise exposure quality, improve engagement efficiency, and reach a wider pool of high-intent prospect.
1. Lead Targeting Strategy: Optimised targeting to expand high-intent reach and increase lead generation volume.
2. Ad Relevance & Performance Optimisation: Aligned ad messages and landing pages with what customers are actually searching or interested in, improving ad relevance and overall exposure efficiency for best business marketing .
3. Spend Where Results Are: Increased spend and adjusted delivery strategy so ads show more often and stay competitive, driving higher exposure and more lead generation Singapore opportunities.
By reviewing how people interacted with the ads, we identified gaps in messaging and targeting. We refined the ad content and filtered out low-quality traffic to improve engagement and lead generation services efficiency.
1. Ad Message Testing & Optimisation: Created multiple ad messages highlighting different selling points, then tested and scaled the versions that attracted more interest. Extra information was added to make the ads more clickable and engaging for lead generation Singapore.
2. Low-Quality Traffic Filtering: Filtered out irrelevant traffic so ads are shown only to people more likely to enquire, reducing wasted clicks.
3. Clearer Value Proposition Messaging: Added multiple message variations to highlight the key strengths of the consultation service, allowing the ads to stay competitive and attract more enquiries for leads Singapore.
By reviewing enquiry behaviour after ad clicks, we identified where potential customers were dropping off. We then improved the landing page experience and response speed to turn more visits into real enquiries.
1. Page Speed & Mobile Experience Optimisation: Optimised images and videos to speed up page loading, ensured the page displays properly across all devices, and aligned page content with the ads to reduce drop-offs and increase enquiries.
2. Streamlined Enquiry Form Experience: Reduced the form to only essential details and added clear guidance, making it faster and easier for users to submit enquiries to generate leads for business.
3. Fast Enquiry Response System: Ensured enquiries are responded to within 30 minutes, or instantly acknowledged via automated replies, so potential customers don’t drop off while waiting.
By comparing enquiry volume with actual qualified leads, we identified wasted traffic and targeting gaps across marketing channels for leads Singapore. We then refined the targeting to focus spend on higher-quality, conversion-ready prospects for lead generation.
1. Targeting & Traffic Quality Optimisation: Restricted ads to the right service areas and filtered out irrelevant traffic, so the budget is focused on people who are more likely to enquire.
2. Lead Status Update Reminders: We reminded company's team to update lead stages in Leadbox promptly so the system could learn and help ads reach better-quality prospects over time in lead generation Singapore.
By reviewing where qualified leads stalled before quotation, we identified trust and proposal clarity gaps. We then introduced trust-building elements to improve confidence and increase quotation success.Make sure to bring the best business marketing for our cooperator.
1. Case Studies & Performance Proof: Showcased real client cases, actual results, and customer testimonials in proposals and landing pages to build trust and increase confidence to proceed.
2. Clear Pricing & Scope Explanation: Clearly outlined the service scope, pricing breakdown, and after-sales support in the quotation to remove doubts and help customers decide with confidence.
By reviewing where quotations did not convert into signed deals for lead generation, we identified gaps in deal data and system usage. We then set up a continuous data improvement cycle to strengthen conversion and deal closure over time to achieve our lead generation insurance.
Build Winning Customer Audiences: Trained the team to update CRM stages promptly to keep funnel data accurate. Closed-deal customer profiles were then used to help the system learn who converts best, allowing ads to reach more high-potential customers and generate leads for business.
By reviewing when and to whom ads were shown, we identified wasted exposure. We then refined ad timing and audience focus to ensure ads appear at the right moments to the right people.
1. Smart Ad Timing Optimisation: Shifted ad delivery to focus on peak hours when customers are most active, and concentrated spend on high-potential locations to drive better-quality enquiries.
2. Scale What’s Working: Reviewed what was performing well, paused low-performing targeting, and shifted budget towards areas that were driving stronger engagement and enquiries.
3. Capture More Specific Demand: Added more specific, high-intent targeting related to the company’s services to reduce costs and avoid wasting budget on low-quality traffic.
Refined and expanded targeting to attract more accurate, high-intent traffic. This helped ads reach the right audience, generate more meaningful engagement, and lower overall customer acquisition costs.
1. Creative Refresh for Better Performance: When ad performance started to drop, we refreshed the creatives by strengthening key selling points and rolling out a full set of new messages to keep engagement and enquiries strong.
2. Mobile-Optimised Messaging: Adjusted the ad copy layout to be easier to read on mobile, keeping users engaged and reducing drop-off.
Restructured the landing page to create a smoother, more convincing browsing experience, keeping users engaged longer and naturally guiding them towards making an enquiry.
1. Clear & High-Impact Call-to-Action: Made the enquire buttons more visible and improved their wording and placement, ensuring clear next steps and encouraging more users to click and enquire.
2. Build Customer Trust & Confidence: Strengthened trust on the website by highlighting industry certifications and real client case studies, helping users feel more confident and willing to enquire.
Continuously refined targeting by reviewing enquiry quality and feeding back what works. This helped focus spend on people more likely to convert, improve traffic quality, and attract more accurate target customers.
1. High-Intent Targeting: Refined targeting to better match real business needs and filtered out irrelevant traffic, so ads reach people more likely to convert.
2. Clean & Consolidate Customer Data: Cleaned up and merged duplicate customer records in the CRM to ensure reporting is accurate and reliable.
Set up regular team training and market monitoring, standardised how proposals are presented, and introduced attractive promotions to build trust and give customers stronger reasons to close.
1. Ongoing Team Training & Enablement: Ran regular team training to standardise proposal and quotation processes, helping the team respond faster and present a consistent, professional image to customers.
2. Ongoing Market Insights & Trend Monitoring: Tracked industry trends and competitor moves, then launched timely promotions aligned with seasonal demand to drive stronger customer response.
Focused budget on the ads and teams that actually close deals, allowing the system to learn from real results and continuously improve ROI over time.
Spend More on What Brings Results: Reviewed cost per closed deal and return from each ad group, reduced spend on low performers, and focused budget on groups delivering strong returns.
Used data from past conversions and closed deals to target ads at similar high-potential audiences. To overcome creative fatigue and limited exposure, we expanded delivery across more channels so ads stay fresh and reach more ready-to-convert customers.
1. Expand Ads Across More High-Performing Channels: Launched multi-channel performance campaigns using data from past conversions and closed deals, targeting similar high-potential audiences and re-engaging interested prospects to drive more deal-ready enquiries.
2. Update Selling Messages to Drive Enquiries: Introduced fresh product and service selling points, refreshed ad messages, and added new visuals to capture attention and drive stronger engagement across channels.
Ensured enough budget and fresh creatives were in place so the system can fully optimise performance, while refining ad messages and targeting to capture the most conversion-ready clicks at the lowest cost.
1. Scale High-Performing Targeting: Added highly relevant, lower-competition targeting, scaled what has already driven conversions, and paused high-cost areas that weren’t producing results.
2. Tap into High-Demand Market Trends: Combined current holiday and event trends with key product selling points to create fresh visual and text ads, and strengthened top-performing search campaigns to capture timely, high-intent demand.
Continuously tracked how users interact with the website and re-engaged those who showed interest but didn’t enquire, guiding them back to take action and convert.
1. Re-Engage Interested Visitors to Drive Enquiries: Followed up with users who showed interest but didn’t enquire, reminding and encouraging them to return and convert.
2. Fast Enquiry Response System: Set up instant or near-instant replies (within one minute), using automation where needed, so potential customers don’t drop off while waiting.
Refined targeting using past customer data to attract higher-quality enquiries, deliver more deal-ready leads to the quotation stage, and increase overall closing rates of sales.
Reach More High-Quality, Deal-Ready Leads: Used data from enquiries through to signed deals to help the system find more lookalike audiences, bringing in higher-quality, deal-ready opportunities.
Reinforced trust during proposals and discussions by clearly presenting credentials and proof, and by transparently explaining service scope, pricing, and after-sales support. Helping customers feel confident to sign.
Ongoing Trust & Confidence Building: Used real customer case studies and testimonials as trust proof during proposals, while ensuring pricing, service details, quotations, and contracts are clear, consistent, and aligned. Helping customers feel confident to proceed.
Focused budget on the ads and teams that actually close deals, allowing results to continuously improve and creating a self-optimising, ROI-driven advertising cycle.
Spend More on What Brings Results: Reduced spend on underperforming ads and focused budget on ad groups that convert into signed deals, using real returns to guide every adjustment.
By analysing the drop-off between impression counts and click-through rates, issues were identified in keyword match types and competition strategies. Adjustments were made to the budget allocation method to optimise ad exposure data and reach more potential customers.
1. Keyword match strategy: Changed exact match keywords to phrase match to increase precise exposure opportunities.
2. Quality Score optimisation: Incorporated keywords into ad copy and landing pages to improve ad relevance and Quality Score, enhancing effective ad exposure.
3. Budget reallocation: Increased daily budget and switched the bidding strategy to “Maximise Clicks” to improve ad ranking and exposure frequency.
Based on comparisons between click-through rates and query interaction data, potential issues such as unappealing ad copy and irrelevant keywords were identified. Ad copy was optimised and negative keywords were applied to improve effective click-through rates.
1. A/B testing for copy optimisation: Created multiple ad copies based on selling points to test different versions, and added extras such as snippets and sitelinks to encourage clicks.
2. Negative keyword exclusion: Added irrelevant keywords related to the company’s products/services to the negative keyword list to reduce unqualified clicks.
3. Strengthening creative selling points: Added multiple description variations for responsive ads to highlight core strengths of consultation services and enhance ad competitiveness.
Using inquiry rates and interaction data, drop-off situations from ad click to page exit without inquiry were analysed. Bottlenecks in landing page experience and customer service response speed were diagnosed to improve user experience and increase webpage inquiry rates.
1. Landing page speed and compatibility: Compressed images and videos on landing pages; ensured cross-device display consistency and alignment between landing page content and ads to reduce bounce rates.
2. Simplified inquiry form design: Kept only essential fields (e.g., name, phone number), added a progress indicator and clear instructions to reduce user friction and improve form submission rates.
3. Rapid response mechanism: Required customer service teams to reply within 30 minutes, or implemented an automated reply system (e.g., YME chatbot) to send instant confirmation messages and reduce customer loss.
From the conversion analysis between inquiry volume and qualified lead numbers, potential issues such as invalid traffic and imprecise keyword targeting were identified. Measures were implemented to refine ad targeting.
1. Refined targeting and keyword exclusion: Excluded non-targeted regions from ad delivery and filtered out irrelevant keywords (e.g., “job search,” “free tutorial”) to reduce invalid traffic.
2. Data stage update reminders: Reminded the business team to promptly update customer stages in Leadbox to ensure accurate attribution learning in the ad platform and improve subsequent audience precision.
Based on conversion bottlenecks from qualified leads to successful quotations, potential issues such as lack of customer trust and insufficient persuasiveness in proposals were identified. Trust-building strategies were designed accordingly.
1. Case studies and data backing: Embedded real client cases, result data, and customer satisfaction testimonials in proposals and landing pages to enhance credibility.
2. Clear terms and descriptions: Clearly listed service details, price breakdown, and after-sales support in quotations to reduce doubts.
From the conversion analysis between quotations and signed deals, initial shortcomings in deal data and system functionality gaps were identified. A data accumulation and optimisation cycle was established.
Accumulate closed-deal audience lists: Trained the business team to update CRM stages promptly to ensure funnel data consistency. Collected profiles of closed-deal customers and fed data back to GA4 to create lookalike audiences, expanding reach to high-potential customers.
By analysing exposure data at this stage, issues such as inefficient ad scheduling and overly broad audience targeting were identified. Ad exposure was optimised by refining ad scheduling and focusing keywords.
1. Ad schedule optimisation: Adjusted ad delivery schedules based on the ad schedule report, concentrating the budget during peak user activity hours. Also narrowed the geographic targeting to focus on areas with high potential customer density.
2. Focus on high-performing keywords: Analysed keyword performance, paused or replaced low-performing keywords, and allocated budget towards keywords with higher CTR.
3. Add long-tail keywords: Introduced long-tail keywords based on the company’s products/services to reduce keyword costs and minimise budget wastage.
Through in-depth keyword filtering, expansion, and adjustments to match types, the accuracy of click traffic was significantly improved. This helped the ads attract clicks and engage high-intent audiences, thereby lowering overall customer acquisition costs.
1. Refresh fatigued creatives: For ad copies experiencing fatigue and declining CTR, optimised creative materials based on product/service selling points, ensuring a complete set of 15 headlines and 4 descriptions.
2. Mobile copy adjustment: Modified ad copy layout to improve readability on mobile devices and reduce loss of user interest.
Optimised the content structure and flow of the landing page to provide a smoother and more persuasive browsing experience. This effectively increased users' time spent on the website and naturally guided them towards the inquiry stage.
1. Add and optimise CTA displays: Added and adjusted the style and copy of CTA buttons on the landing page, as they were not prominent and were missing in key positions, to attract user inquiry clicks.
2. Strengthen user's trust: Enhanced trust signals on the website, such as industry certifications and customer case studies, to boost user recognition and trust in the company.
Continued refining targeting by analysing inquiry quality, adjusting audiences, and feeding effective target data. This improved traffic quality, filtered potential customers more likely to convert, focused marketing resources, and attracted more accurate target clients.
1. Precise keywords: Added more accurate keywords that better match business needs, while excluding irrelevant keywords from the list.
2. Merge duplicate customer records: Identified and merged duplicate customer records in Leadbox CRM to reduce data duplication in reporting.
Established team training and market monitoring mechanisms, standardised the proposal presentation process, and introduced promotional offers to provide customers with greater trust in the company and effective incentives to close deals.
1. Conduct team training: Regularly organised team training to standardise proposal quotations and processes, improving response efficiency to customer quotes and maintaining consistency in the company’s external image.
2. Market trend analysis: Monitored industry trends and competitor strategies, and introduced timely promotional offers aligned with seasonal activities.
Achieved ROI-driven ad optimisation by prioritising budget allocation to ad groups and business teams that directly contribute to deal closures, establishing a positive cycle of self-optimising advertising.
Optimise ad budget allocation: Based on the cost per signed deal and ROAS of each ad group, reduced budget for low-performing groups and focused spending on groups with ROAS greater than 2.
Targeting audiences for SEM creative materials based on previously collected conversion and signed deal audiences. Introduced Performance Max campaigns to address issues like limited creative channels and creative fatigue, thereby broadening creative exposure channels.
1. Introduce Performance Max campaigns: Build and launch Performance Max campaigns based on target audience lists comprised of customers who converted or signed deals via SEM, focusing on similar audiences and remarketing.
2. Refresh selling point creatives: Introduce new product/service selling points and update SEM ad copies while creating visual assets for Performance Max to capture audience attention.
Ensure Performance Max campaigns have sufficient budget and creative assets to leverage AI capabilities. Adjust SEM creative materials and keywords to secure the most conversion-prone clicks at the lowest cost.
1. Optimise high-efficiency keywords: Add low-competition keywords highly relevant to the product/service, include keywords that have driven conversions, and pause high-cost keywords with no conversion history.
2. Capture trend-based traffic: Combine recent holiday/event trends with product selling points to produce Performance Max visual and text creatives, and add responsive search ads to high-performing SEM ad groups.
Continuously monitor website interaction rates and dwell time. Utilise Performance Max’s remarketing capabilities to re-engage users who interacted with the site but did not submit an inquiry, guiding them toward taking action.
1. Remarketing to drive inquiries: Use Performance Max to remarket to users who interacted but did not inquire, encouraging potential leads to convert.
2. Rapid response mechanism: Implement a customer service response system aiming for replies within one minute, or adopt an automated reply tool such as YME bot, to reduce customer loss due to waiting time.
Refine audience targeting using historical audience data to improve the quality of inquiry users, attract leads with higher conversion potential, and deliver more qualified customers to the proposal and quotation stage—increasing the success rate of deal closures.
Performance Max reaches high-quality leads: Use collected target customer lists (from inquiry to signed deal stages) in Performance Max to reach more lookalike audiences and generate higher-quality business opportunities.
Provide trust endorsements during proposal presentations and business communications. Clearly outline service terms, price breakdown, and after-sales support in proposals and contracts to reduce customer hesitation before signing.
Continuously strengthen customer trust: 1. Gather genuine internal customer case studies and testimonials to use as trust signals during proposal and quotation discussions. 2. Ensure consistency and clarity between proposal pricing, service details, quotations, and contracts.
Achieve ROI-driven advertising optimisation by prioritising budget allocation to ad groups and business teams that directly contribute to signed deals—establishing a self-optimising positive cycle for advertising.
Optimise ad budget allocation: Reduce budget for underperforming ad groups and allocate more budget to ad groups with higher deal conversion rates, using ROAS as a guide for budget adjustments.
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