Fintech Performance Marketing: How to Scale Paid Acquisition Without Burning Budget

• Amol Ghemud
• Fintech Performance Marketing: How to Scale Paid Acquisition Without Burning Budget
• Published: March 4, 2026

Contributors: Amol Ghemud
Published: March 4, 2026

Fintech performance marketing is the practice of running paid digital campaigns for financial services companies where every rupee spent is tracked to a measurable business outcome, not just clicks or impressions, but actual loan disbursements, account activations, or policy conversions. It sits at the intersection of aggressive growth targets and strict regulatory requirements, which makes it fundamentally different from running paid ads for a SaaS product or a D2C brand.

The Indian fintech market is on track to hit $51.3 billion by 2026. That growth has pushed average customer acquisition costs to approximately $784 per fintech customer. But that number hides massive variation. Neo-banking apps can acquire activated users for $15- $ 25. Lending platforms routinely spend $200-800+ per disbursed loan customer. Insurance fintechs sometimes exceed $1,000 per policy sold. The companies winning aren’t necessarily the ones spending more. They’re the ones who’ve built systems to track, optimize, and compound performance at the cohort level.

This guide covers the full paid acquisition stack for fintech: Google Ads, Meta, LinkedIn, programmatic, and emerging channels. Built from our direct experience scaling campaigns for Lendingkart (5.7x lead volume increase while reducing CPL by 30%), and optimizing multi-channel acquisition for fintech clients across lending, neo-banking, and payments verticals.

Why Is Fintech Performance Marketing Different From Standard PPC?

Fintech performance marketing differs from standard PPC because financial advertising operates under regulatory constraints, platform-specific restrictions, and trust requirements that don’t exist in other verticals. Get any of these wrong, and your campaigns don’t just underperform. They get disapproved, your accounts get flagged, and you lose weeks rebuilding.

Three things make fintech paid ads structurally different.

First, platform compliance. Google requires financial advertisers in India to be authorized and compliant with RBI guidelines for lending ads. Meta restricts targeting options for financial products under their Special Ad Category policies. LinkedIn has its own financial services advertising rules. Each platform has different requirements, and these requirements change frequently. Building creative that clears all three platforms simultaneously is a skill most performance marketers don’t have.

Second, trust thresholds. Financial products involve real money and sensitive personal data. Users don’t click “Apply Now” on a lending ad the way they’d click “Add to Cart” on a shoe ad. The consideration window is longer, the research is deeper, and the landing page must communicate credibility within seconds. This means your quality score depends not just on keyword relevance but on demonstrated trustworthiness.

Third, measurement complexity. A fintech lead isn’t a conversion. It’s the beginning of a multi-step process (application, KYC, underwriting, disbursement) where 40-60% of initial leads drop off before generating any revenue. Optimizing for top-of-funnel CPL without tracking downstream activation is the single most expensive mistake in fintech paid marketing. In our experience managing over INR 50 crore in fintech ad spend, the companies that build cohort-level tracking from day one consistently outperform those that retrofit it later.

How Should You Structure Google Ads Campaigns for Fintech?

Google Ads campaign structure for fintech should follow an intent-based architecture with three distinct tiers, each with its own budget allocation, bidding strategy, and success metrics. Don’t run one campaign for everything. The economics are too different across intent levels.

Tier 1: Brand campaigns. These capture users already searching for your brand name or product. CPCs are lowest here (often INR 5-15), conversion rates are highest (15-30%), and these campaigns protect your brand from competitor conquesting. Every fintech company should run brand campaigns, even at an early stage. If a competitor bids on your brand terms and you don’t, you’re paying acquisition cost twice: once to build awareness, then losing the conversion to someone else’s ad.

Tier 2: High-intent non-branded campaigns. These target users with clear purchase or action intent. For lending, that’s queries like “personal loan apply online,” “business loan 10 lakh,” or “instant loan low interest rate.” For neo-banking, it’s “open savings account online” or “best digital bank India.” These campaigns have moderate CPCs (INR 30-150, depending on vertical) but high conversion potential because users have already decided they want the product. Structure these by product type, not by keyword match type.

Tier 3: Consideration and education campaigns. These target users are researching financial products but not ready to apply. Queries like “personal loan EMI calculator,” “how does credit score affect loan eligibility,” or “best savings account interest rates 2026.” These campaigns serve two purposes: they build remarketing audiences for Tier 2, and they drive traffic to content that builds your E-E-A-T signals for organic search. CPCs are lower (INR 10-40) but conversion to direct application is also lower, so measure these on engaged session rate and remarketing pool growth, not on direct CPA.The budget split that works for most fintech companies starting out: 20% brand, 60% high-intent non-branded, 20% consideration. Shift toward high-intent as you identify winning keyword clusters.

In our work with Lendingkart, this three-tier structure allowed us to scale Google Ads spend by 4x while reducing cost per lead by 30%, delivering a 5.7x increase in qualified lead volume. The key was ruthless negative keyword management (we maintained a negative keyword list of 2,000+ terms), landing page A/B testing at the city level, and shifting budget dynamically based on cohort-level payback data rather than aggregate CPA.

What Landing Page Elements Drive Conversions for Fintech Ads?

Fintech landing pages must accomplish something standard landing pages don’t: they need to convert high-intent visitors while simultaneously satisfying YMYL trust requirements and platform compliance reviews. A landing page that converts at 8% but gets your ad account flagged for policy violations is worse than one that converts at 4% cleanly.

The elements that consistently drive fintech landing page conversions fall into five categories.

Trust signals above the fold. RBI registration numbers for lending companies, SEBI registration for investment platforms, IRDAI license details for insurance. These aren’t optional decorations. Google’s landing page quality assessment for financial services specifically checks for regulatory disclosures. Include them prominently. Also include recognizable trust badges: ISO certifications, partnership logos with banks, and media mentions.

Single, clear value proposition. Your headline should answer exactly one question: why should I choose this product? “Personal loans from 10.49% p.a. with same-day disbursement” works. “India’s best lending platform for all your financial needs” doesn’t. Specificity converts. Vagueness doesn’t.

Progressive form design. Don’t ask for PAN number, Aadhaar, and bank statements on the first form. Start with name, phone, and loan amount. Each subsequent step reveals more fields only after the user has committed psychological effort. This approach consistently reduces form abandonment by 25-40% in our fintech campaigns.

Social proof with numbers. “50,000+ loans disbursed” carries more weight than “Trusted by thousands.” Customer testimonials with verifiable details (name, city, loan amount range) outperform anonymous reviews. Video testimonials outperform text.

Mobile-first execution. Over 85% of fintech ad clicks in India come from mobile devices. If your landing page takes more than 3 seconds to load on a mid-range Android phone on 4G, you’re losing the majority of your paid traffic before they even see your offer. Test on real devices, not just desktop simulators.

How Do You Run Meta Ads for Fintech Without Getting Disapproved?

Meta (Facebook and Instagram) advertising for fintech requires navigating the Special Ad Category designation, which restricts targeting options, limits creative flexibility, and requires additional advertiser verification. Most fintech marketers discover this the hard way when their first campaign gets rejected.

Here’s what you need to know to run compliant, high-performing Meta campaigns for fintech.

Financial products on Meta fall under the “Credit” Special Ad Category in most markets, including India. This means you can’t use detailed targeting based on age, gender, zip code, or many interest categories. You also can’t create lookalike audiences the traditional way. Instead, you get Special Ad Audiences, which are broader and less precise.

The workaround that works: build your campaign strategy around creative quality and broad targeting rather than audience precision. When you can’t micro-target, the creative becomes your targeting mechanism. An ad showing a business loan EMI calculator naturally attracts business owners. An ad explaining how to improve credit scores for first-time borrowers naturally reaches that segment. Let the creative do the qualifying work that audience targeting used to do.

Creative formats that perform for fintech on Meta: short-form video (15-30 seconds) explaining one specific benefit or solving one specific problem. Carousel ads walking through a loan application process step by step. Lead form ads with pre-filled fields for lower friction. Static image ads with clear, specific offers tend to underperform video for fintech because financial products need explanation that static images can’t deliver.

Compliance requirements for Meta fintech ads: include all mandatory disclaimers in the ad itself (not just the landing page). For lending, that means APR ranges, processing fee disclosures, and “loans subject to eligibility” language. For insurance, it means “insurance is a subject matter of solicitation” disclosures. Meta’s review team checks these, and missing them leads to ad-level or account-level rejection.

Budget allocation for Meta in a fintech media mix typically runs 15-25% of total paid spend. Meta excels at awareness and consideration for fintech (especially for consumer products like neo-banking and personal loans) but usually has a longer conversion path than Google Search. Track view-through conversions and assisted conversions, not just last-click attribution, to see Meta’s true contribution.

What Role Does LinkedIn Play in Fintech B2B Paid Strategy?

LinkedIn is the primary paid channel for B2B fintech companies: payment gateway providers, lending-as-a-service platforms, banking infrastructure, and enterprise financial software. It’s also increasingly relevant for consumer fintechs targeting high-net-worth individuals or business owners for premium products.

LinkedIn’s advantage for fintech B2B is targeting precision. You can target by job title (CFO, VP Finance, Treasury Manager), company size, industry, and seniority level. For a B2B fintech selling payment infrastructure to mid-market companies, this precision is worth the higher CPCs (LinkedIn CPCs typically run 3-5x higher than Google Search).

Campaign structures that work for B2B fintech on LinkedIn follow the same intent-tier logic as Google, adapted to the platform.

Top of funnel: Thought leadership content promotion. Promote original research, industry reports, or contrarian perspectives on fintech trends. The goal is brand visibility among decision-makers, not immediate leads. Measure by engagement rate and follower growth among target accounts.

Mid-funnel: Case study and proof-point campaigns. Target users who’ve engaged with top-of-funnel content and serve them specific case studies relevant to their industry or role. Lead gen forms with gated content (whitepapers, ROI calculators, comparison guides) work well here. Measure by qualified lead volume and cost per marketing-qualified lead.

Bottom of funnel: Direct offer campaigns targeting engaged prospects. Demo requests, free trial signups, consultation bookings. These have the highest CPCs but also the highest conversion value. Run these as retargeting campaigns to users who’ve visited pricing pages or engaged with multiple pieces of mid-funnel content.

The mistake most B2B fintechs make on LinkedIn: running bottom-of-funnel demo request ads to cold audiences. The conversion rate on cold LinkedIn traffic for a demo request is typically under 0.5%. Build the sequence. Warm them up. Then ask.

How Should Fintech Companies Approach Programmatic and Display Advertising?

Programmatic and display advertising for fintech serves a specific purpose in the acquisition stack: brand building and remarketing at scale. It’s not a direct response channel for most fintech products. Treating it like one is how companies waste lakhs on impressions that never convert.

The two use cases where programmatic delivers ROI for fintech:

Remarketing sequences. A user visits your loan application page but doesn’t complete the form. Display remarketing keeps your brand visible as they continue researching. For fintech, remarketing sequences should be built around the dropout point. If they left at the eligibility check, serve ads addressing common eligibility concerns. If they left at the document upload step, serve ads highlighting your paperless process. Sequential messaging based on funnel stage consistently outperforms generic “come back and apply” retargeting by 2-3x in our fintech campaigns.

Contextual targeting for brand awareness. Place ads alongside relevant financial content: personal finance blogs, investment news, business publications. Contextual targeting has regained importance as cookie deprecation reduces behavioral targeting effectiveness. For fintech, contextual placement on trusted financial publications also creates positive brand association that pure audience targeting misses.

What to avoid in fintech programmatic: broad run-of-network display campaigns. The impression quality is low, bot traffic rates on open exchanges can exceed 15-20%, and the regulatory risk of your lending ad appearing next to inappropriate content isn’t worth the cheap CPMs. Use private marketplaces (PMPs) or deal IDs with premium financial publishers. Pay more per impression, get real humans.

Measurement for programmatic should focus on view-through conversions and brand lift studies, not last-click CPA. If you’re measuring programmatic the same way you measure search, you’ll kill it prematurely and lose the awareness layer that feeds your search campaigns.

What Does Cohort-Level Tracking Look Like for Fintech Paid Campaigns?

Cohort-level tracking is the difference between fintech companies that scale profitably and those that scale themselves into negative unit economics. It means tracking every rupee of ad spend through to actual revenue generation, not stopping at the lead or even the application.

Here’s what the tracking stack looks like in practice.

Layer 1: Acquisition tracking. Standard stuff: UTM parameters, click IDs, platform conversion pixels. Track cost per click, cost per lead, and cost per qualified application by campaign, ad group, keyword, and creative. This is where most companies stop. It’s not enough.

Layer 2: Activation tracking. Track what happens after the lead enters your system. For lending: application completion rate, KYC pass rate, credit approval rate, disbursement rate. For neo-banking: account creation rate, KYC completion rate, first deposit rate, first transaction rate. For insurance: quote completion rate, proposal submission rate, policy issuance rate. Connect this data back to the acquisition source using unique identifiers passed through the entire funnel.

Layer 3: Revenue tracking. Track actual revenue generated per cohort. For lending, this means disbursement amounts, interest income, and default rates over the loan tenure. For neo-banking, it means transaction volume, fee income, and cross-sell revenue. For payments, it means total payment volume processed and take rate.

Layer 4: Payback period. Calculate how long it takes for each acquisition cohort to repay its marketing cost. A lending campaign with a $50 CPL and $200 CPA looks expensive until you realize each disbursed customer generates $2,000 in interest income over 24 months. The payback period is 3 months. Meanwhile, a campaign with a $10 CPL generates leads that never complete KYC, making the true CPA infinite.

The technology stack for this typically includes: a CRM or CDP connecting acquisition data to downstream events, a BI tool (Looker, Metabase, or even well-structured Google Sheets) for cohort visualization, and automated UTM/click-ID passthrough across your application funnel. It’s not glamorous work. It’s the work that separates profitable scaling from vanity metrics.

In our experience with fintech clients, the companies that implement full cohort tracking within their first 90 days of paid campaigns make better budget allocation decisions and achieve 40-60% better ROI by month 6 compared to those relying on platform-reported CPA alone.

How Do You Manage Compliance in Fintech Ad Campaigns?

Compliance in fintech advertising isn’t a one-time checkbox. It’s an ongoing operational discipline that touches creative development, landing page management, account setup, and reporting. The cost of getting it wrong ranges from ad disapprovals (annoying) to account suspensions (devastating) to regulatory fines (existential).

Here’s the compliance framework that keeps fintech paid campaigns running without interruption.

Platform-level requirements. Google requires financial services advertisers in India to complete a verification process and comply with local financial regulations. This includes submitting business registration documents, providing regulatory license numbers, and agreeing to Google’s financial services policies. Meta requires advertiser verification for financial products and designating campaigns under the Special Ad Category. LinkedIn has lighter requirements but still reviews financial services ads more strictly.

Creative compliance. Every ad creative for lending products must include: the name of the NBFC or bank, the applicable interest rate range (not just the lowest rate), processing fee disclosure, and a “subject to eligibility” qualifier. For insurance products: “insurance is a subject matter of solicitation” and IRDAI registration details. For investment products: risk disclaimers and SEBI registration. Build these into your creative templates so compliance is the default, not an afterthought.

Landing page compliance. Beyond the trust signals mentioned earlier, landing pages must include: complete terms and conditions, privacy policy links, grievance redressal mechanism, and clear disclosure of how personal data will be used (especially under the DPDP Act 2023). Google’s automated quality reviewers check for these, and manual reviewers verify them during account audits.

Pre-launch review process. Before any ad goes live, it should pass through a three-step review: creative team approval (is the ad clear and effective?), compliance review (does it meet platform and regulatory requirements?), and legal sign-off (for new claim types or offers). This adds 24-48 hours to launch timelines but prevents the 2-3 week delays that come from account-level policy strikes.

The companies that build compliance into their campaign workflow from day one don’t just avoid penalties. They get better results. Compliant ads have higher quality scores, lower CPCs, and longer campaign lifespans because they don’t get interrupted by disapprovals and account reviews.

How Do You Allocate Budget Across Channels for Fintech?

Budget allocation for fintech performance marketing should follow the principle of “fund what’s proven, test what’s promising, cut what’s wasteful.” The exact split depends on your sub-vertical, product maturity, and whether you’re optimizing for growth or profitability.

Here’s a starting framework based on our work with fintech clients across lending, neo-banking, and payments.

For lending fintechs (personal loans, business loans, credit products): Google Search 45-55% (highest intent, most direct conversion), Meta 15-20% (awareness and consideration for consumer lending), display/remarketing 10-15%, Google Performance Max 10-15% (supplementary reach), testing budget 5-10% (new channels, new creative formats).

For neo-banking and payments fintechs: Meta and Instagram 30-40% (consumer products need visual storytelling), Google Search 25-30% (still captures active searchers), Google App campaigns 15-20% (if you have a mobile app), influencer/creator partnerships 10-15% (trust transfer matters for banking), testing budget 5-10%.

For B2B fintech (payment infrastructure, lending-as-a-service, enterprise financial software): Google Search 30-35%, LinkedIn 25-35% (primary B2B channel), content syndication 10-15%, remarketing across platforms 10-15%, testing budget 5-10%.

The testing budget is non-negotiable. Allocate 5-10% of total spend to testing new channels (YouTube Shorts, Reddit, WhatsApp), new formats (interactive ads, AR experiences), and new audiences. Run tests for a minimum of 2 weeks with sufficient budget to reach statistical significance before making decisions.

Re-allocate monthly based on cohort data, not weekly based on platform metrics. A campaign that looks expensive this week might produce the best customers over 90 days. Give your data time to mature before making budget shifts.

What Are the Biggest Mistakes in Fintech Performance Marketing?

The most expensive mistake in fintech performance marketing is optimizing for the wrong metric. Specifically, optimizing for cost per lead when you should be optimizing for cost per activated customer. We’ve seen fintech companies proudly report $5 CPLs from campaigns that generate leads with 2% activation rates, while ignoring campaigns with $50 CPLs that activate at 40%. Do the math. The second campaign is 4x more efficient at generating actual customers.

Other mistakes that consistently destroy ROI:

Running the same campaign structure across all geographies. Lending demand in Mumbai looks nothing like lending demand in Jaipur. CPCs, conversion rates, and even the products users search for vary dramatically by city. City-level campaign management isn’t optional for fintech companies operating nationally. Our work with Lendingkart included city-level landing page variations and bidding adjustments that were critical to the 30% reduction in CPL we achieved.

Ignoring negative keywords. In fintech, irrelevant clicks aren’t just wasteful; they can be dangerous. A lending company bidding on “loan” will attract searches for “education loan government scheme” or “loan shark movie review.” Every irrelevant click costs money and dilutes your quality score. Maintain aggressive negative keyword lists. Update them weekly. We typically manage 2,000+ negative keywords for fintech accounts.

Not testing landing pages aggressively enough. Most fintech companies test ad creatives weekly but test landing pages quarterly, if ever. Landing page conversion rate has 5-10x more impact on CPA than ad creative click-through rate. Run continuous landing page tests: headline variations, form length, trust signal placement, and social proof format.

Treating all leads equally in bidding. A lead from someone searching “best personal loan low interest” is worth more than a lead from someone searching “what is a personal loan.” Use offline conversion tracking (Google’s enhanced conversions, Meta’s CAPI) to feed downstream conversion data back to the ad platforms. This lets their algorithms optimize for disbursements, not just form fills.

Copying competitor ad strategies. Just because a competitor runs certain ads doesn’t mean those ads work. Their CPA might be terrible. Their unit economics might be negative. Build your strategy from your own data, not from competitive ad intelligence tools showing you what others spend.

How Do You Build a 90-Day Fintech Performance Marketing Plan?

A 90-day fintech performance marketing plan should move through three phases: infrastructure (days 1-30), scaling (days 31-60), and optimization (days 61-90). Rushing past the infrastructure phase is the number one reason fintech companies waste their first three months of ad spend.

Days 1-30: Infrastructure.

Set up tracking properly. Implement UTM parameters across all campaigns, configure server-side conversion tracking, connect your CRM/application system to ad platforms to capture offline conversion data, and build your cohort-tracking dashboard. Test the entire tracking chain before spending a single rupee on ads.

Complete platform verification. Google financial services advertiser verification takes 1-3 weeks. Meta advertiser verification takes a similar time. Start these immediately. Running ads without proper verification leads to account-level issues that are painful to resolve.

Build your first campaign set. Start with brand campaigns (always on, always running) and your top 5-10 highest-intent non-branded keyword groups. Create 3-5 landing page variants for your primary product. Set conservative daily budgets (INR 5,000-10,000 per campaign) during the learning phase.

Days 31-60: Scaling.

By now, you have 30 days of conversion data. Identify your top-performing keywords, ad groups, and landing pages. Double budget on winners. Pause losers. Expand keyword coverage in winning clusters.

Launch Meta campaigns for awareness and consideration. Start with broad targeting and strong creative. Build remarketing audiences from your Google traffic. Launch retargeting sequences for application drop-offs.

If B2B, launch LinkedIn campaigns targeting your ideal customer profile. Start with thought leadership content promotion before running direct lead gen.

Days 61-90: Optimization.

Pull your first cohort analysis. Which campaigns produce leads that actually convert to customers? Which produce leads that drop off at KYC? Shift budget based on downstream data, not just platform CPA.

Implement automated bidding strategies (tCPA or tROAS) using your offline conversion data. The platforms need 30-50 conversions per campaign to optimize effectively, which is why the first 60 days of manual management are necessary.

Scale what works. Cut what doesn’t. Build the business case for months 4-6 with real cohort economics, not projected CPA improvements.

The companies that follow this sequence systematically, resisting the urge to scale before the infrastructure is solid, typically achieve positive unit economics by month 4-5 and compound from there.

Conclusion

Fintech performance marketing in 2026 is not about spending more. It’s about building systems that track every rupee from ad click through revenue generation while staying compliant with regulatory requirements that change quarterly.

The companies that scale profitably combine compliance-first creative, intent-based campaign architecture, cohort-level tracking, and continuous optimization based on downstream activation data rather than platform-reported metrics.

The biggest mistake is optimizing for cost per lead when you should optimize for cost per activated customer. The biggest opportunity is building the infrastructure to track, measure, and optimize across the full customer lifecycle from day one.

upGrowth helps fintech companies build performance marketing systems that scale sustainably. Our fintech digital marketing services combine Google Ads, Meta, LinkedIn, and programmatic strategies with compliance-first creative and cohort-level measurement specifically designed for India’s fintech regulatory environment.

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FAQs

1. What is fintech performance marketing?

A: Fintech performance marketing is the practice of running paid digital advertising campaigns for financial services companies with measurement tied to business outcomes like loan disbursements, account activations, or policy conversions. It differs from standard performance marketing because fintech ads are subject to regulatory compliance requirements (RBI, SEBI, IRDAI), platform-specific restrictions (Google’s financial advertiser verification, Meta’s Special Ad Category), and longer conversion cycles that require cohort-level tracking beyond initial lead generation.

2. What is the average customer acquisition cost for fintech in India?

A: Fintech customer acquisition costs in India vary significantly by sub-vertical. Neo-banking and digital payments apps typically acquire activated users for $15-25. Personal lending platforms spend $200-800+ per customer disbursed loan. Insurance distribution fintechs can exceed $1,000 per policy sold. The overall market average is approximately $784, but this number is heavily influenced by lending economics. The relevant metric isn’t industry average CAC but your product-specific cost per activated customer relative to lifetime revenue.

3. Which ad platform works best for fintech companies?

A: The best ad platform depends on your fintech sub-vertical and target customer. Google Search delivers the highest ROI for lending companies targeting users with immediate borrowing intent. Meta (Facebook and Instagram) works best for consumer fintech products like neo-banking and payments that benefit from visual storytelling. LinkedIn is the primary channel for B2B fintech companies selling to financial institutions or enterprises. Most fintech companies need a multi-platform approach, with Google Search as the core engine and other platforms serving specific funnel stages.

4. How do you handle compliance in fintech digital advertising?

A: Fintech ad compliance requires a three-layer approach: platform compliance (completing Google’s financial advertiser verification, Meta’s advertiser identity verification, and designating campaigns under Special Ad Categories), creative compliance (including mandatory disclosures like interest rate ranges, processing fees, and regulatory registration numbers in every ad), and landing page compliance (regulatory disclosures, privacy policies, terms and conditions, and DPDP Act data handling notices). Building compliance into creative templates and establishing a pre-launch review process prevents campaign interruptions.

5. How long does it take to see ROI from fintech paid marketing?

A: Fintech paid marketing typically requires 60-90 days to reach reliable performance baselines and 4-6 months to achieve optimized unit economics. The first 30 days are infrastructure setup (tracking, verification, initial campaigns). Days 31-60 generate enough data for meaningful optimization. By day 90, you should have cohort data showing which campaigns produce customers who actually activate and generate revenue. True ROI calculation for lending products may take 6-12 months because revenue accrues over the loan tenure.

6. Should fintech companies use automated bidding or manual bidding?

A: Start with manual CPC bidding for the first 60 days to build a conversion data foundation. Google’s Smart Bidding algorithms (tCPA, tROAS) need 30-50 conversions per campaign over 30 days to optimize effectively. Once you’ve accumulated sufficient conversion data, and critically, once you’ve implemented offline conversion tracking so the algorithm optimizes for downstream outcomes like disbursements rather than just form fills, switch to automated bidding. In our experience, this phased approach produces 20-35% better results than jumping straight to automated bidding.

About the Author

Amol Ghemud

Optimizer in Chief

Amol has helped catalyse business growth with his strategic & data-driven methodologies. With a decade of experience in the field of marketing, he has donned multiple hats, from channel optimization, data analytics and creative brand positioning to growth engineering and sales.