Reddit pain research

Top pain points in r/PPC

The r/PPC community highlights several persistent challenges faced by advertisers, including strategies for improving ROAS, high click costs, and difficulties with conversion tracking. Founders and builders should pay attention to these issues as they directly impact advertising effectiveness and budget allocation. Additionally, delays in ad account verification and confusion surrounding Google Ads pricing can hinder campaign launches and overall performance. By understanding these real, recurring problems, stakeholders can make informed decisions about their advertising strategies and product development, ultimately leading to more effective marketing efforts and better resource management.

149
discussions analyzed
15
problems surfaced
83
evidence links

Updated June 9, 2026

Recurring problems we found

Ranked by signal strength. Every claim links back to the real discussion it came from.

  1. 01

    ROAS improvement strategies

    92/100Strong signal

    Digital marketers and advertisers seeking higher returns on ad spend across various platforms.

  2. 02

    High click cost issues

    91/100Strong signal

    Advertisers dealing with high click costs but low conversion rates, often feeling frustrated.

  3. 03

    Conversion cost challenges

    88/100Strong signal

    Advertisers facing rising costs per conversion while struggling to maintain performance.

  4. 04

    Conversion tracking confusion

    87/100Strong signal

    Advertisers struggling with setting up and understanding conversion tracking in Google Ads.

  5. 05

    Ad account verification delays

    84/100Strong signal

    Advertisers experiencing delays and issues with ad account verifications across platforms.

  6. 06

    Google Ads pricing issues

    76/100Strong signal

    Advertisers concerned about increasing costs and ad performance issues due to Google's practices.

  7. 07

    Client reporting frustrations

    74/100Moderate signal

    Marketers overwhelmed by the manual processes required for client reporting and analytics.

  8. 08

    Negative feelings towards ad tools

    70/100Moderate signal

    Users frustrated with the functionality and performance of Google and Meta advertising tools.

  9. 09

    AI ad skepticism

    67/100Moderate signal

    Advertisers and clients questioning the effectiveness and reception of AI-generated ads.

  10. 10

    PPC job dissatisfaction

    66/100Moderate signal

    PPC specialists feeling discontented and considering career changes within digital marketing.

  11. 11

    Performance marketing anxiety

    60/100Moderate signal

    Professionals in performance marketing grappling with self-doubt and past failures.

  12. 12

    Ad performance discrepancies

    60/100Moderate signal

    Advertisers troubled by the lack of correlation between past and current ad performance.

  13. 13

    High spend concerns in Google Ads

    60/100Moderate signal

    Advertisers spending significant budgets on Google Ads worried about rising costs per lead.

  14. 14

    AI tools in performance marketing

    60/100Moderate signal

    Marketers exploring the use of new AI tools in their advertising strategies.

  15. 15

    Paid media strategy discussions

    60/100Moderate signal

    Marketers seeking feedback and collaboration on paid media strategies and innovations.

Methodology

How we found these

01
Collect

We pulled 149 recent public discussions from the communities that matter.

02
Cluster

Text embeddings group posts by meaning, so the math decides what belongs together, not a guess.

03
Score

Each cluster is ranked on how acute, frequent, and recent it is. Only the strongest make the page.

Nothing here is invented. Every item links back to the real conversations it was built from.

Frequently asked questions

What problems do people in r/ppc talk about most?

The most common recurring problems we found were: ROAS improvement strategies, High click cost issues, Conversion cost challenges. Each one on this page is backed by links to the real discussions it came from.

How were these problems found?

We scanned 149 recent public discussions about r/ppc, grouped them by topic using text embeddings (so the math decides what belongs together, not a guess), and kept only the clusters with real, repeated signal. Every problem links back to its source posts.

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