anyIP Case Study

April 20, 2026
5
 Min Read
anyIP paid media case study — Savvy Moves doubled paid search revenue, lifted ROAS 43%, and drove 15x paid social ROI

Savvy Moves' Paid Media Strategy Doubled anyIP Revenue in Six Months.

About anyIP

anyIP is a B2B SaaS company offering residential and mobile proxies for web data, automation, and multi-account management. Their platform empowers SaaS teams, developers, and marketing ops pros to scale reliably without blocks, bans, or detection hurdles.

The Challenge

anyIP was growing fast, but didn't have enough internal capacity to scale paid acquisition. Churn was high because they were attracting the wrong customers, and many prospects didn't understand what made anyIP different, so sign-ups were often low quality. The goal was to bring in better-fit, high-LTV customers without wasting ad spend.

How We Did It

Savvy Moves started with a full Google Ads, LinkedIn Ads, and tracking audit to set a baseline and spot gaps. We then refined anyIP's ICP and personas, mapping the main pains of scraping companies, and built a simple full-funnel plan: capture demand with search and educate the right buyers with paid social.

Paid Search (Demand Capture): Focused on high-intent keywords for proxy and scraping solutions. Streamlined accounts by ditching low-performers, separating brand vs. non-brand, and sharpening ad copy to pre-qualify ICPs. Aligned landing pages for better message match and conversion quality.

Paid Social (Demand Generation): Built trust through thought leadership ads that cut through feeds, like founder-led content, memes, and non-salesy formats. Leveraged X and Meta Ads for targeted remarketing to re-engage warm leads, while using Reddit Ads to reach scraping companies on technical and niche subreddits. Created targeted account lists for SaaS and web scraping firms, emphasizing pain points, benefits, and social proof to educate and warm prospects.

With Fibbler we can connect Linkedin Ads reach and engagements to pipeline and revenue from Hubspot deals.

Marketing Automation: GitHub scraped leads to LinkedIn & Meta Ads. A custom GitHub scraper feeds high-intent proxy/scraping leads into Airtable, where a Make.com workflow auto-syncs them into LinkedIn and Meta Custom Audiences. Keeping ICP-matched contacts live at all times. HubSpot exclusions block existing customers from being retargeted. The result: a self-refreshing, high intent audience layer with zero manual work.

We automated anyIP’s audience sync by turning enriched Airtable contacts into a live LinkedIn Matched Audience workflow in Make.com.

This approach ensured paid channels drove not just conversions, but sustainable MRR and LTV growth by separating capture (search) from education (social) and pre-qualifying traffic early.

The Results

Paid Search:

  • Revenue doubled from May 2025 to year-end.
  • ROAS up 43% in the first six months.
  • Non-brand search became a larger revenue driver, reducing brand dependency.

Paid Social:

  • Yielded 15x ROI on media spend for paid social.
  • Landed multiple high-value accounts, boosting MRR and surpassing growth targets.

What Made This Special

anyIP's strong organic foundation with minimal prior paid activity set the stage for explosive scaling. We exceeded objectives in under six months, proving paid media's power as a true growth engine when built on solid basics.

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Case Study

anyIP Case Study

April 20, 2026
5
Min read

Content

anyIP paid media case study — Savvy Moves doubled paid search revenue, lifted ROAS 43%, and drove 15x paid social ROI

Savvy Moves' Paid Media Strategy Doubled anyIP Revenue in Six Months.

About anyIP

anyIP is a B2B SaaS company offering residential and mobile proxies for web data, automation, and multi-account management. Their platform empowers SaaS teams, developers, and marketing ops pros to scale reliably without blocks, bans, or detection hurdles.

The Challenge

anyIP was growing fast, but didn't have enough internal capacity to scale paid acquisition. Churn was high because they were attracting the wrong customers, and many prospects didn't understand what made anyIP different, so sign-ups were often low quality. The goal was to bring in better-fit, high-LTV customers without wasting ad spend.

How We Did It

Savvy Moves started with a full Google Ads, LinkedIn Ads, and tracking audit to set a baseline and spot gaps. We then refined anyIP's ICP and personas, mapping the main pains of scraping companies, and built a simple full-funnel plan: capture demand with search and educate the right buyers with paid social.

Paid Search (Demand Capture): Focused on high-intent keywords for proxy and scraping solutions. Streamlined accounts by ditching low-performers, separating brand vs. non-brand, and sharpening ad copy to pre-qualify ICPs. Aligned landing pages for better message match and conversion quality.

Paid Social (Demand Generation): Built trust through thought leadership ads that cut through feeds, like founder-led content, memes, and non-salesy formats. Leveraged X and Meta Ads for targeted remarketing to re-engage warm leads, while using Reddit Ads to reach scraping companies on technical and niche subreddits. Created targeted account lists for SaaS and web scraping firms, emphasizing pain points, benefits, and social proof to educate and warm prospects.

With Fibbler we can connect Linkedin Ads reach and engagements to pipeline and revenue from Hubspot deals.

Marketing Automation: GitHub scraped leads to LinkedIn & Meta Ads. A custom GitHub scraper feeds high-intent proxy/scraping leads into Airtable, where a Make.com workflow auto-syncs them into LinkedIn and Meta Custom Audiences. Keeping ICP-matched contacts live at all times. HubSpot exclusions block existing customers from being retargeted. The result: a self-refreshing, high intent audience layer with zero manual work.

We automated anyIP’s audience sync by turning enriched Airtable contacts into a live LinkedIn Matched Audience workflow in Make.com.

This approach ensured paid channels drove not just conversions, but sustainable MRR and LTV growth by separating capture (search) from education (social) and pre-qualifying traffic early.

The Results

Paid Search:

  • Revenue doubled from May 2025 to year-end.
  • ROAS up 43% in the first six months.
  • Non-brand search became a larger revenue driver, reducing brand dependency.

Paid Social:

  • Yielded 15x ROI on media spend for paid social.
  • Landed multiple high-value accounts, boosting MRR and surpassing growth targets.

What Made This Special

anyIP's strong organic foundation with minimal prior paid activity set the stage for explosive scaling. We exceeded objectives in under six months, proving paid media's power as a true growth engine when built on solid basics.

anyIP paid media case study — Savvy Moves doubled paid search revenue, lifted ROAS 43%, and drove 15x paid social ROI

Savvy Moves' Paid Media Strategy Doubled anyIP Revenue in Six Months.

About anyIP

anyIP is a B2B SaaS company offering residential and mobile proxies for web data, automation, and multi-account management. Their platform empowers SaaS teams, developers, and marketing ops pros to scale reliably without blocks, bans, or detection hurdles.

The Challenge

anyIP was growing fast, but didn't have enough internal capacity to scale paid acquisition. Churn was high because they were attracting the wrong customers, and many prospects didn't understand what made anyIP different, so sign-ups were often low quality. The goal was to bring in better-fit, high-LTV customers without wasting ad spend.

How We Did It

Savvy Moves started with a full Google Ads, LinkedIn Ads, and tracking audit to set a baseline and spot gaps. We then refined anyIP's ICP and personas, mapping the main pains of scraping companies, and built a simple full-funnel plan: capture demand with search and educate the right buyers with paid social.

Paid Search (Demand Capture): Focused on high-intent keywords for proxy and scraping solutions. Streamlined accounts by ditching low-performers, separating brand vs. non-brand, and sharpening ad copy to pre-qualify ICPs. Aligned landing pages for better message match and conversion quality.

Paid Social (Demand Generation): Built trust through thought leadership ads that cut through feeds, like founder-led content, memes, and non-salesy formats. Leveraged X and Meta Ads for targeted remarketing to re-engage warm leads, while using Reddit Ads to reach scraping companies on technical and niche subreddits. Created targeted account lists for SaaS and web scraping firms, emphasizing pain points, benefits, and social proof to educate and warm prospects.

With Fibbler we can connect Linkedin Ads reach and engagements to pipeline and revenue from Hubspot deals.

Marketing Automation: GitHub scraped leads to LinkedIn & Meta Ads. A custom GitHub scraper feeds high-intent proxy/scraping leads into Airtable, where a Make.com workflow auto-syncs them into LinkedIn and Meta Custom Audiences. Keeping ICP-matched contacts live at all times. HubSpot exclusions block existing customers from being retargeted. The result: a self-refreshing, high intent audience layer with zero manual work.

We automated anyIP’s audience sync by turning enriched Airtable contacts into a live LinkedIn Matched Audience workflow in Make.com.

This approach ensured paid channels drove not just conversions, but sustainable MRR and LTV growth by separating capture (search) from education (social) and pre-qualifying traffic early.

The Results

Paid Search:

  • Revenue doubled from May 2025 to year-end.
  • ROAS up 43% in the first six months.
  • Non-brand search became a larger revenue driver, reducing brand dependency.

Paid Social:

  • Yielded 15x ROI on media spend for paid social.
  • Landed multiple high-value accounts, boosting MRR and surpassing growth targets.

What Made This Special

anyIP's strong organic foundation with minimal prior paid activity set the stage for explosive scaling. We exceeded objectives in under six months, proving paid media's power as a true growth engine when built on solid basics.