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Getting enquiries is not the same as getting customers. If your paid campaigns are attracting students, job seekers, or people who never had buying intent, the problem is not your ad spend — it is what you are optimising for. Ignited Nepal traces quality backward from your CRM to your campaign targeting and rebuilds the signals that attract real buyers.
The Sales Team Is Frustrated — Your campaigns are hitting their volume targets. CPL is within budget. But your sales team is spending hours calling people who were never going to buy — students researching for assignments, people looking for jobs, or enquiries from entirely the wrong audience. The volume metric looks fine. The pipeline does not.
Marketing and Sales Are Blaming Each Other — Marketing says they are delivering leads. Sales says the leads are not closeable. Both are partially right. The real issue is that the campaign was never built to attract qualified buyers — it was built to attract form fills. Until the definition of a "good lead" is agreed upon and built into the targeting, the blame loop continues.
Your Cost Per Closed Customer Is Too High — Your CPL might look acceptable, but when you calculate what it actually costs to close a paying customer — accounting for the sales time spent on unqualified leads, the nurture sequences that go nowhere, and the deals that fall apart at proposal stage — the real number is far higher than your campaigns suggest.
Most paid campaigns in Nepal are set up to maximise conversions at the lowest CPL. That metric rewards volume. Google and Meta will find the cheapest people to click and convert — and in many categories, those are students, job seekers, and window shoppers. The algorithm is doing exactly what it was told to do. The brief was wrong.
Your campaigns are showing to everyone in the targeting radius with no suppression of known non-buyer segments. No exclusions for people who visited your careers page. No exclusion for age bands that never convert in your category. No suppression of audiences who already converted or who match job-seeker behavioural patterns. Every rupee spent on those segments is wasted.
A form with two fields and a submit button will get filled in by anyone. That is the design intent for volume — but it has no mechanism to filter out people with no budget, no timeline, or no legitimate need. Qualification logic — budget fields, project type selectors, timeline questions — creates friction that self-selects for serious enquirers and deters browsers.
You know which leads closed. Your campaigns do not. Without offline conversion import — feeding closed-won data back into Google or Meta as a signal — the platform keeps optimising toward the type of person who fills a form, not the type of person who becomes a customer. The feedback loop is broken at the most important point.
We start by pulling your CRM data and mapping every closed deal back to its original campaign source, ad group, keyword, and audience. This tells us which targeting segments produce buyers and which produce noise. The audit is the foundation — without it, the rebuild is guesswork.
Using the closed-deal data, we define your Ideal Customer Profile for paid targeting: the demographics, intent signals, search behaviour, and audience characteristics that correlate with closed revenue. We then rebuild your campaign targeting around that profile rather than around the broadest possible reach.
We build a full negative keyword list, negative audience segments, and placement exclusions designed to repel the wrong traffic. For Nepal-specific campaigns, this includes suppression of job-seeker intent signals, student demographic patterns, and irrelevant geographic concentrations that inflate volume without contributing to pipeline.
We redesign your lead forms to introduce qualification friction. This means adding fields that require a meaningful response — project budget range, service type, timeline, company name where relevant — so that the act of completing the form filters out low-intent visitors. Completion rates will drop. Lead quality will rise. That is the correct trade.
We connect your CRM to Google Ads and Meta via offline conversion import. Closed deals — and optionally, qualified pipeline stages — are fed back to the platform as conversion signals. Over time, the algorithm learns to find more people who match your actual buyers rather than your form fillers.
Lead volume almost always decreases when you optimise for quality. The forms become harder to complete casually, the targeting becomes more specific, and the campaigns stop chasing cheap clicks. The goal is a higher lead-to-close rate and a lower cost per closed customer — those numbers move in the right direction even as total enquiry volume falls.
Read access to your CRM is required to complete the lead quality audit. Without closed-deal data, we cannot trace which campaigns produce revenue and which produce noise. We work with most common CRM systems used in Nepal, including HubSpot, Zoho, and Salesforce.
Form qualification changes take effect immediately on launch. Targeting and exclusion changes typically show measurable quality improvement within 30 to 45 days as the algorithm recalibrates. Offline conversion import improves algorithmic learning over a longer window — generally 60 to 90 days for the signal to materially influence delivery.
CRM hygiene directly affects the quality of the audit. If deal outcomes are not recorded consistently, the offline conversion signal is weaker. We assess CRM data quality as part of the audit and flag what needs to be fixed before the feedback loop will function properly.
The lead quality framework applies to both Google Ads and Meta. Offline conversion import, audience exclusion logic, and form qualification are all applicable across both platforms. The specific implementation differs by platform, but the underlying quality signal — closed CRM data — feeds both.
Not a black box. Real specialists you can call, with their names on the work.
If your campaigns are producing form fills but your pipeline is thin, the targeting is wrong — not the budget. A lead quality audit starts with your closed deals and works backward to identify exactly where the misalignment is. From there, every change we make is grounded in your actual revenue data, not assumptions.
Email us at hello@ignitednepal.com or use the form above. We will review your current setup and tell you whether there is a clear quality problem before any engagement begins.
Ignited Nepal
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