Email & SMS follow-up
Automated follow-up that reaches a lead while the form is still fresh in their mind, and nurtures the ones who are not ready yet.
Services · Credit repair & credit data
Goodish runs digital marketing for credit-repair and credit-data companies: Google and Meta advertising planned around financial-services ad policies, lead generation judged by how many leads qualify, and conversions fed back from your CRM. We have worked with iSoftpull, a US credit-reporting software company, since 2017, and its cost per qualified lead fell 87%.

Search campaigns for people already looking for credit help, with advertiser verification and policy checks before launch and offline conversions from the CRM.
Facebook and Instagram campaigns run within Meta's special ad category rules for credit, trained on the leads your CRM marks as qualified.
Automated follow-up that reaches a lead while the form is still fresh in their mind, and nurtures the ones who are not ready yet.
GA4, Google Tag Manager and server-side tagging, so every lead is traced from the ad to the signed client.
Two things: the ad platforms treat credit offers as a restricted category, and many of the people who click can’t be helped or never sign. A campaign that ignores the first gets ads rejected or accounts suspended; a campaign that ignores the second buys a lot of cheap leads and very few clients.
So we start with eligibility: which platforms and placements accept your offer in your markets, what verification they need, and which claims your ads and landing pages must avoid. Then we build the campaigns, on Google Ads and Meta Ads first, as part of our wider paid advertising work.
By changing what the ad platforms learn from. When the only conversion they see is a form fill, they find more people who fill in forms. When the CRM tells them which leads qualified and which became clients, bidding follows those instead.
That is what we did for iSoftpull, a US company providing credit-reporting software to mortgage lenders and finance companies. We connected Meta and Google Ads to product-usage data, cut spend on low-intent audiences and refocused the budget on decision-makers. Comparing late 2024 to early 2026, the cost per qualified lead fell 87%, from $205.41 to $25.84. The iSoftpull case study tells the full story, including the years when the company was still American Credit Systems and not every applicant could be accepted, because running credit checks comes with legal requirements.
We have also worked with Spotlight Funding, a business credit and funding company, where Facebook brought in consumers instead of businesses until we rebuilt the measurement, set new KPIs and A/B-tested the campaigns and the website.
Enough to follow a lead from the first ad to the signed client. In practice that means GA4 and Google Tag Manager on the website, server-side tagging so conversions survive cookie blockers, and offline conversions posted back from the CRM. The analytics service covers the full setup.
Which platforms accept your offer, in which markets, and which verification they need: checked before a campaign is planned, not after an account is suspended.
Ad and landing-page copy without promised score jumps or guaranteed removals, the kind of claims that get ads rejected and lose people's trust.
Forms and landing pages that ask the questions that matter, so your sales team talks to people you can actually help.
Qualified calls and signed clients posted back to Google and Meta, so bidding follows the leads that became clients, not the cheapest form fills.
Cost per qualified lead and cost per client reported beside the platforms' own numbers, never instead of them.
Real clients, real numbers, straight from our client reports.
B2B credit & data, United States · 2017 → today
−87%
cost per qualified lead
Meta and Google Ads connected to product-usage data, so the algorithms learn from people who use the software, not from form fills. Spend cut on low-intent audiences and refocused on B2B decision-makers.
We review the ad accounts, landing pages, tracking and CRM, check which platforms your offer qualifies for, and tell you where it leaks.
Qualification questions, conversion tracking and offline conversions first, then campaigns structured around what a qualified lead is worth.
Continuous optimisation toward qualified leads and signed clients, reported beside CRM numbers.
Scoped per account: the platforms, the spend and how much tracking and CRM work sits behind them. The audit is free, you get a fixed quote after it, and the ad budget is paid to the platforms directly from your accounts.
FAQ
Generally yes, with conditions that differ by platform and country. Google asks financial-services advertisers for verification and restricts some credit-related offers; Meta runs credit and financial-services ads under a special ad category with narrower targeting options. We check what your offer qualifies for before planning any spend.
By telling the ad platforms which leads qualified. We add qualification to the funnel, then post qualified leads and signed clients back from the CRM as offline conversions, so Google and Meta bid for more people like them. For iSoftpull, feeding the platforms better data took the cost per qualified lead from $205.41 to $25.84.
Because in credit services many people who fill in a form can't be helped or never sign. A cheap lead that never becomes a client costs more than an expensive one that does, so we optimise and report on qualified leads and clients.
Both are in scope. Our longest engagement in the space is iSoftpull, which provides credit-reporting software and APIs to mortgage lenders and finance companies; we have also worked with Spotlight Funding in business credit. Consumer credit-repair offers need the same measurement and some extra policy work.
It is scoped per account: the platforms, the spend and the tracking work behind them. The audit is free and you get a fixed quote after it; the ad budget itself is paid to the platforms directly from your account.
We’d like to use analytics and ad measurement (Google, Meta, LinkedIn) to see what works on this site. Nothing is set until you choose. Privacy notice