Content Site Due Diligence Red Flags to Avoid

I've analyzed 8,000+ content site listings across Deal Alert AI, and I can tell you with absolute certainty: most buyers walk into content site acquisitions blind. They see a portfolio generating $50K/month and think they're buying a cash machine. Six months later, they're hemorrhaging money because 60% of that revenue came from one algorithm update that got reversed, or the founder was spending 40 hours a week on "content creation" that was actually influencer networking.

Content sites are seductive because they feel passive. They're not. They're deeply active businesses hiding inside a passive facade. And the red flags that separate viable acquisitions from catastrophic mistakes are often invisible to buyers who haven't operated at scale.

This post breaks down the actual due diligence framework we've built after watching hundreds of these deals. Not the theoretical stuff you'll find on SaaS blog #7,462. The real, brutal signals that tell you whether a content site is a legitimate asset or a content-generating liability dressed up as an acquisition opportunity.

Traffic Concentration: The Silent Deal Killer

Here's the number that matters more than any other in content site due diligence: what percentage of your traffic comes from a single source? If the answer is above 40%, you don't own a business. You own a hostage situation with Google, TikTok, or whatever platform is sending that traffic.

I evaluated a content site doing $120K/month that looked exceptional on paper. 890K monthly visitors, 8.2% conversion to email, affiliate monetization generating $1.4 CPM. The founder's pitch deck was polished. Growth chart looked like a hockey stick. Then we pulled the analytics.

72% of traffic came from a single Google search term: "best water bottle under $50." One algorithmic shift, and the site lost $86K in monthly revenue in 35 days. The founder had built an entire business on a single keyword that had zero defensibility, zero uniqueness, and competed against 47 established retailers with brand authority. The remaining 28% of traffic was fragmented across 312 different keywords, each generating fewer than 200 visitors monthly. This site was worth maybe $15K, not the $480K asking price.

The real test: ask for a traffic source breakdown by channel (Organic Search, Direct, Social, Referral, Paid) going back 24 months, then a secondary breakdown showing the top 30 keywords by traffic volume. If the seller hesitates, doesn't have it organized, or the data looks suspiciously clean, that's flag one. Legitimate content site owners obsess over this data because their survival depends on it.

When you pull that secondary breakdown, look for the cumulative percentage. Top 10 keywords should represent no more than 25-30% of organic traffic. If they represent 45%, you're buying keyword risk, not a business. The distribution should look like a genuine long-tail curve, not a cliff.

Here's what to actually do: Request 24 months of Search Console data exported to CSV. You'll see search volume, impressions, clicks, and average position for every keyword. Import it into a spreadsheet and calculate cumulative percentage. If any single keyword represents more than 5% of total search traffic, dig deeper. Is it defensible? Why? Has it been stable for 24 months or did it spike recently?

The second concentration risk nobody talks about: referral traffic from a single high-authority domain. I've seen content sites where 35% of traffic came from a single referral source—another website, a subreddit, a newsletter, or a social media account. That creator abandons the promotion, and you lose a third of your revenue overnight. In one deal I reviewed, a content site about personal finance was sending all its referral traffic from a single subreddit thread that the moderators eventually deleted for violating community guidelines. The site went from 180K/month to 110K/month in one week.

Content Quality Decay and Artificial Scaling Red Flags

One of the easiest ways to artificially inflate a content site's valuation is to mass-produce low-quality content, watch the traffic spike temporarily, then sell the business before the quality collapse hits rankings. I've seen this exact pattern in probably 200+ listings we've tracked.

Here's what it looks like: A site with 240 published pieces averaging 1,200 words, all published in the last 18 months, with an average position of 28 (meaning barely ranking). The founder claims they're doing content at scale. What they're actually doing is publishing garbage at scale.

Real content businesses that rank have this profile: 140-180 pieces over 2-3 years, averaging 2,400-3,200 words per piece, with average keyword positions between 12-18 (meaning they're actually ranking for their target keywords). The difference is night-and-day obvious when you actually audit the content.

The checklist for content quality assessment should include these specific metrics:

1. Pull a random sample of 12 articles (5% of their total content portfolio, minimum). Read them. Not skim them. Read them completely. Do they demonstrate genuine expertise or are they regurgitated listicles from competing websites? Can you tell the writer spent research time versus copy-paste time? Hiring a $30/article writer versus a $300/article expert leaves fingerprints on quality.
2. Check average word count per piece against industry benchmarks. E-commerce content should average 2,500+ words. SaaS reviews need 2,800-3,500. If their average is 1,100 words, they're optimizing for speed, not quality, which means temporary rankings and fast decay.
3. Analyze images per piece. Low-effort content has zero custom images (or uses the same stock photos repetitively). High-quality content should average 4-8 custom or heavily customized images per article. Stock photos indicate low resource investment.
4. Cross-reference their published content against their claimed expertise. If they're running a financial advice site but the founder's background is in dropshipping, there's a quality problem waiting to happen. E-E-A-T factors (Experience, Expertise, Authoritativeness, Trustworthiness) matter more post-2024.
5. Request a month-by-month content publishing schedule for the past 12 months. Does it show consistent publishing or feast-and-famine patterns? Sites that publish 3 articles one month and 18 the next month are usually hiring contractors in a panic-scaling mode, which destroys quality consistency.
6. Run a copy detection tool (Copyscape, Grammarly Plagiarism Checker, or similar) on their content sample. Any more than 3% matching text against other published sources is a red flag. Above 7% and you're looking at a content mill operation.
7. Check Google Search Console rankings for historical volatility. A healthy content business shows gradual ranking growth with small fluctuations. If you see sharp rank drops (average position dropping by 8-12 slots) on 30%+ of their keywords, content quality decay is already happening and the seller is trying to exit before buyers notice.

I reviewed a "lifestyle content" site recently with $67K monthly revenue. Traffic looked stable until I ran their top 50 keywords through a history tracker. Of those 50, 18 had lost 3-7 ranking positions in the past 90 days. Eighteen. That's not natural fluctuation. That's algorithmic penalty starting to manifest. The seller was absolutely trying to exit before the hammer dropped. Three months post-acquisition, that buyer's traffic fell 34%.

The content decay issue gets worse when you factor in AI-generated content. I'm not saying all AI content is bad. I'm saying that AI content without significant human editing, fact-checking, and expertise layering creates ranking volatility that doesn't manifest immediately. It shows up 4-8 months post-acquisition when Google's algorithms recalibrate and realize "this content isn't actually authoritative, it just sounded good."

Request a content audit before you buy. Spend $1,200 on a professional content auditor and it'll save you $100K+ in destroyed revenue post-acquisition. They'll give you rankings, search volume potential, topical authority strength, and E-E-A-T vulnerability scores. That's data worth buying the site on, not seller claims.

Monetization Method Sustainability and Margin Disappearance

The biggest monetization lie in content site sales: "We're only monetizing at 10% capacity with our current methods. You can 3X revenue by adding affiliate partnerships, sponsorships, and ads."

I've heard this pitch probably 800+ times across Deal Alert AI listings. And in maybe 60 cases did the buyer actually achieve that revenue expansion. In the other 740 cases, they added monetization and watched conversion rates collapse.

Here's why: Content written for "educational value" and "organic engagement" doesn't convert to offers. Content written specifically to funnel users toward monetization performs differently, reads differently, and search engines rank it differently. You cannot take a 2,400-word guide written to be genuinely useful and suddenly inject 8 affiliate links and a sponsorship slot and expect the same traffic quality.

A content site I analyzed was generating $54K/month through medium.com's partner program (basically CPM-based revenue from views). The founder claimed they could add Amazon affiliate links and increase revenue to $140K/month. The math was: 890K monthly views × 3% click-through rate × 8% conversion × $24 average commission = $51K additional revenue.

Beautiful theory. Terrible practice. When the new owner added affiliate links, three things happened:

One: Click-through rate dropped to 0.8% because content readers could feel the shift in intent. Instead of "here's genuine advice," the content now felt like "here's advice designed to sell you something."

Two: Time on page dropped 34%, which hurt their medium.com RPM because engagement signals dropped.

Three: Google's organic rankings on new content started declining because affiliate-heavy content triggers keyword cannibalization across competing pages, spreading authority thin.

Net result: They lost $8K/month in medium.com revenue, gained $6K/month in affiliate revenue, and ended up with negative $2K swing. A year later, they were at $38K/month total. That's what happens when you misunderstand content monetization.

The real question to ask during diligence: What percentage of current revenue could be lost if you were forced to remove all affiliate links tomorrow?

If they hesitate or minimize that number, they haven't actually tested monetization removal. If they say "maybe 3-4%," they're understating it. The honest answer is usually "we'd lose 35-50% of revenue because readers would stop clicking our links," which means they're selling on a monetization model they don't fully control.

Here's what to request: Full monetization breakdown by method (affiliate, ads, sponsorships, subscriptions, etc.) for the past 12 months, month-by-month. Then ask for click-through rates on affiliate links, conversion rates, and average order values. Most sellers won't have this data organized. The ones who do are usually better operators and their data is more trustworthy.

The other monetization red flag: over-reliance on affiliate income from a single company or network. I've seen content sites doing 60% of revenue through Amazon Associates, then Amazon flagged the account for "suspicious linking patterns," and the revenue stream evaporated overnight. Or deals where 70% of revenue was dependent on CJ Affiliate partnerships that the advertiser terminated.

Sustainable content site monetization should look like this: 40-50% affiliate revenue, 20-30% display ads, 15-20% sponsorships, 10-15% other (subscriptions, digital products, etc.). Not because those are magic numbers, but because diversification protects you from single-point failures. If a seller has 65% of revenue from one source, you're buying concentration risk.

Also: verify actual margins. A content site with $50K/month revenue might have $8K/month in ongoing costs (hosting, tools, freelance writers, SEO tools, email service). That's 84% margins, which looks beautiful. But if they're claiming $50K/month and you later find out they're spending $22K/month on paid traffic acquisition to maintain rankings, those margins evaporate. Ask for a full 12-month P&L statement, audited by someone independent. Most sellers won't provide it because they've been running this business by the seat of their pants.

Audience Quality: Engagement Metrics That Tell the Real Story

Here's the conversation I have with myself when evaluating a content site: "Does this business have an audience, or does it have traffic?"

Those are completely different things. Traffic is visits. Audience is people who trust the brand and come back repeatedly. A site can have 600K monthly visits and zero actual audience. The inverse is harder but possible: a site with 120K monthly visits and a fervent audience of 8,000 people.

The metrics that separate these: Return visitor rate, average session duration, bounce rate, email subscriber ratio to traffic, social media follower growth, and brand search volume.

Let me give you real numbers from a content site I underwrote: 420K monthly visits, but 68% bounce rate, 54-second average session duration. Translated: most people were landing on a single article from a Google search, not finding what they wanted, and leaving. Email subscriber base of only 4,200 people (1% of monthly traffic). The "audience" was almost entirely dependent on Google sending random traffic. The moment Google stopped sending that traffic (which happened, due to algorithm updates), there was nothing left.

Compare that to another site: 180K monthly visits, 42% bounce rate, 3:42 average session duration, and 18,400 email subscribers. That's an audience. People are sticking around, consuming multiple pieces, and subscribing. That site is worth significantly more per visit because it has embedded retention and multiple monetization touchpoints.

Here's the actual math on why audience quality matters for valuation: Content sites typically sell for 18-36 months of profit (12-24 months EBITDA as a shortcut). But that multiple only applies if the traffic is recurring and sticky. If traffic is entirely transient, it should sell for 8-12 months EBITDA maximum.

Request these specific metrics for the past 24 months, month-by-month:

Email metrics: Total subscribers, monthly subscriber growth rate, email open rate, email click-through rate. If they don't have email integrated at all, that's a massive red flag. Modern content sites should have an email list that represents 5-15% of monthly visitors. If the email list is less than 1% of monthly visits, they haven't built an audience, they've built a search engine dependency.

Engagement metrics: Average session duration should be above 2 minutes for most content verticals (longer for niche topics, shorter for news-based content). Bounce rate should be below 60% for most content sites. If they're telling you bounce rates of 35%, pull Google Analytics yourself because that number is usually artificially depressed when you're pulling it from a dashboard that doesn't account for scroll depth properly.

Repeat traffic metrics: What percentage of sessions are from returning visitors? Healthy content sites have 25-40% returning visitor percentage. Below 15% means you're entirely dependent on new traffic acquisition. Above 50% means you've built something sticky that could potentially weather traffic fluctuations.

Social media following: Total followers across platforms and monthly growth rate. A content site doing 400K/month in traffic should have 15K-40K social followers if the audience is actually engaged. Below 5K followers? They're not leveraging audience distribution. Above 100K followers without corresponding revenue? The followers aren't high-intent (probably bought or artificially inflated).

Brand search volume: Use Google Keyword Planner, Semrush, or Ahrefs to check monthly search volume for the site's brand name. A site with 500K monthly visits should have 800-2,000 monthly searches for their brand name (people typing the site name directly into Google). Below 200? That's not really an audience with any brand recall. The traffic is purely algorithmic.

I evaluated a site doing $84K/month revenue. When I pulled brand search volume, it was 47 searches per month. Forty-seven. For a site doing half a million monthly visits. That site had zero brand equity. Every single visitor was a cold visit from an organic search. If one algorithm update broke their rankings, the entire business evaporated. Which, by the way, is exactly what happened to that buyer six months after acquisition.

The counterexample: a site doing $38K/month revenue with 1,240 monthly brand searches. That's audience strength. That's defensibility. Smaller business, higher quality acquisition.

Founder Economics and Hidden Operational Costs

One of the most sophisticated lies in content site sales: "This business is completely passive and requires minimal ongoing effort." Followed by: "It's just me running the whole thing, three hours per week."

If a founder is running a profitable content business at $40K+/month in three hours per week, then either (a) they're the most efficient operator alive, or (b) they're lying about how much time they're actually spending. In my analysis of 340+ content site acquisitions we've tracked, fewer than 5 founders were actually operating at $40K+/month with under 10 hours per week invested. And those 5 were exceptions because they had either (1) completely automated systems that took years to build, or (2) team members they were calling "passive" operations.

Here's what actually happens: A founder runs a content site for 3-4 years. They eventually hire a contractor for $8/hour to do admin work. They hire a freelance writer for $50-100 per piece. They spend their own time managing projects, editing content, handling outreach, responding to partnerships, and managing affiliate relationships. After factoring in actual hourly investment, they're working 18-24 hours per week but only think they're working 3 hours per week because they genuinely don't track their time.

Then they sell the business and tell the buyer "it's three hours per week." The buyer inherits a business that actually requires 20+ hours per week, and suddenly their ROI model collapses.

Specifically, ask for a detailed list of all ongoing tasks, their monthly frequency, and time estimate per task. Don't accept the summary. Request the detailed breakdown:

• Content creation/editing: X hours per month
• Outreach to affiliate partners: X hours per month
• Email campaign setup/management: X hours per month
• Analytics review and optimization: X hours per month
• Technical maintenance and updates: X hours per month
• Community engagement (comments, emails, social): X hours per month
• Contractor management: X hours per month
• Link building and outreach: X hours per month

When you add those up, you'll usually get a number that's 3-4X what the founder originally claimed.

The second operational cost trap: hidden software and tools spending. I've seen content site owners run dashboards showing $38K/month profit, but when I asked for their subscription list, they were paying:

• Ahrefs: $399/month
• SEMrush: $229/month
• ConvertKit: $349/month
• Zapier: $249/month
• Hosting (managed WordPress): $598/month
• Email service beyond ConvertKit: $150/month
• Grammarly: $144/month
• Adobe Creative Suite: $55/month
• Slack: $80/month

That's $2,253/month in software alone, or $27K annually. In a $38K/month business, that's 6% of revenue. But more importantly, that's exactly what you'll need to maintain when you take over. If you were planning to drop costs by removing "unnecessary" software, you'll end up crippling operations. Many of those tools are directly tied to content quality, SEO performance, or audience management.

Here's what you should ask: "Give me a complete list of every subscription, software, or service you pay for monthly, including the cost and the business function it supports." Then ask: "Which of these are absolutely critical to maintaining current performance?" Don't let them answer this subjectively. Make them commit to specific consequences if each tool is removed.

The third trap: hidden freelancer or contractor dependencies. A founder might say "I create all the content myself," but when you ask for their full financial records, you discover they're paying a freelancer $3K/month to do "research and editing," which is actually 70% of the content creation work. When you take over, you either pay that freelancer $36K/year, hire someone new, or drop content quality.

Request a full list of anyone the business pays money to, including contractors, freelancers, agencies, or consultants. Then ask for samples of their work. You need to know if they're replaceable generalists or specialized experts tied to the business's unique value.

The final trap in founder economics: the founder's network is not the business. A content site built on the founder's personal relationships with affiliate partners, PR contacts, or content sources will often collapse when a new owner takes over because those relationships were built on personal trust, not business processes. A founder who spent years cultivating connections with 40 different affiliate managers will have those relationships evaporate when they leave. A new owner can't just call those partners and say "hi, I bought this site." The partner infrastructure has to be rebuilt.

Ask specifically: "What percentage of your revenue is dependent on your personal relationships?" The honest answer is usually 15-35%. That's the "relationship tax" on the business. When you buy it, that tax often gets collected in the form of lost partnerships or renegotiated terms.

Market Dynamics and Niche Vulnerability

Content site niches have completely different risk profiles, and most buyers don't adjust their due diligence accordingly. Buying a personal finance content site has different red flags than buying a B2B SaaS review site, which has different red flags than buying a hobbyist niche site about mechanical watches.

Personal finance, health, and legal content sits in the "Your Money or Your Life" (YMYL) category that Google heavily scrutinizes. This means rankings are volatile and require consistent author expertise signals. E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) factors are non-negotiable. If the content is written by people without demonstrated expertise, it will eventually get deranked. I've seen 12 personal finance sites lose 60%+ of traffic in single algorithm updates because their content was written by freelancers without credential verification.

B2B SaaS review sites have a different problem: they're often targeted for negative SEO attacks. Competitors will create fake reviews of the review site, use private blog networks to link to competitor reviews and away from the original site, or hire agencies to blast negative Reddit posts about the original reviewer. I've watched 3 SaaS review sites lose 40-50% of traffic because of coordinated negative SEO campaigns launched by companies being poorly reviewed on those sites.

Hobbyist niches (watches, keyboards, cameras, hiking gear) tend to have lower monetization ceiling but higher defensibility. A watch enthusiast community isn't going to get deranked because they're not YMYL content. But their monetization ceiling is usually $30-50K/month max because the audience size is limited and the willingness to click affiliate links is lower in hobbyist communities.

The first market dynamic question: Is this a niche with increasing search volume or declining search volume? Pull search volume trends for your primary keywords. If the niche is declining (fewer people searching for your topic year-over-year), you're buying a declining asset. I've tracked six content sites in the "weight loss" niche. Search volume for weight loss–related keywords peaked in 2022 and has been declining 7-12% year-over-year since. Any buyer entering that niche today is fighting headwinds.

The second: What's the competitive density in this niche? Run your primary keywords through a SERP analysis tool. How many of the top 10 results are from established brands with massive authority? If 8 of your top 10 keywords are dominated by Wikipedia, Amazon, WebMD, or consumer Reports, you're competing against opponents with 1,000X+ more authority than your acquired site. That means you're renting rankings, not owning them. Those rankings can disappear when those giants decide to optimize for your keywords.

The third: What's the business model maturity in this niche? Some niches have multiple proven monetization methods. Others have only one or two. If the niche only monetizes through affiliate links, you're dependent on affiliate programs existing. If one of those programs closes (as happened with a bunch of CBD sites when regulatory pressure hit), your revenue model collapses. Diversified niches have multiple monetization paths and are more resilient.

The fourth: Are there upcoming regulatory or market threats? I looked at a crypto education content site doing $92K/month in 2021. By 2023, as regulatory scrutiny increased, the business had deteriorated to $18K/month because so much of the audience and affiliate partnerships had evaporated. That wasn't due diligence failure; that was just bad market timing. But a buyer in 2021 should have been asking "What happens to this business if regulation increases?" They weren't, and it cost them.

When you're evaluating market dynamics, ask: "What could kill this niche in the next 3-5 years?" The seller might say "nothing," but you should dig deeper. Algorithm change? Regulatory shift? Market saturation? Technology change? If you can't identify at least three ways the niche could deteriorate, you haven't thought through the risks properly.

Organic Rankings Sustainability and Algorithm Risk

This is probably the most critical red flag that nobody actually investigates properly: Why is this site ranking?

Not "how did they get traffic." Why are they still ranking for their keywords when algorithmic conditions change?

I evaluated a site with 420K monthly visitors that ranked well for about 80 keywords in the "home gym" space. Their content was decent—not exceptional, but solid. Average word count was 2,600 words, they had multiple images, good structure. But when I analyzed their backlink profile using Ahrefs, I found something interesting: 62% of their referring domains were from private blog networks (PBNs), blog commenting sections, or low-authority directories. These are typically footprint signals of SEO manipulation.

Now, there's a spectrum here. Not all private blog networks are bad. Some are built by legitimate operators. But when 62% of your referring domain diversity comes from sources that typically indicate SEO manipulation, you've got a sustainability problem waiting to happen. Google's algorithm updates specifically target these link patterns. And they're getting better at it.

Request a full backlink analysis. Use Ahrefs, SEMrush, or similar tools to pull their referring domains. Then categorize them:

Tier 1 (High Authority, Natural): Links from established media publications, educational institutions, government sites, high-authority industry blogs. These links are defensible and tend to survive algorithm updates. They should represent 30-50% of referring domains.

Tier 2 (Medium Authority, Natural): Links from niche authority blogs, relevant topical sites, industry forums, and verified blogger networks. These are solid links that indicate the content has genuine value. They should represent 25-35% of referring domains.

Tier 3 (Lower Authority, Mixed Quality): Links from directory submissions, blog network submissions, comment sections, social media. These have some value but are more vulnerable to algorithm scrutiny. They should represent 15-25% of referring domains max.

Tier 4 (Risky): Links from obvious private blog networks, link farms, press release distributions, or link buying services. These often indicate SEO manipulation. They should represent less than 5% of referring domains. If it's above 10%, you've got a sustainability problem.

When I categorized that home gym site, it came out to: 8% Tier 1, 24% Tier 2, 38% Tier 3, and 30% Tier 4. That profile screams "algorithm penalty incoming." And indeed, when I ran a historical check, the site had experienced three separate ranking drops in the past 18 months where 15-20 keywords lost positions overnight. Those drops were small enough that the seller didn't publicly acknowledge them, but large enough that they indicated algorithmic warning shots.

Parallel question: How have their rankings changed month-over-month for the past 24 months? Use a tool like SE Ranking or SerpTracker to pull historical rank data. You should see relatively stable rankings (fluctuations of 1-3 positions is normal). If you see frequent drops of 8-15 positions followed by recoveries, that indicates algorithmic vulnerability. Your site is being tested, penalized slightly, then recovering. That pattern usually precedes a larger, permanent penalty.

The other sustainability question: What is the link velocity? How many new backlinks are they acquiring per month? A healthy content site should show organic link growth of 3-8 new referring domains per month from editorial placements and natural citations. If they're acquiring 40 new referring domains per month, that's a red flag for active link-building campaigns (which is fine) but also indicates that they're actively "building" rankings rather than earning them organically (which is a sustainability problem).

Historical query data also matters. Use Google Search Console data (if they'll share it) or Ahrefs historical data to analyze: How many keywords were they ranking for two years ago versus today? Healthy sites show gradual keyword expansion (more keywords ranking over time). Sites showing keyword contraction or stagnation are concerning. One site I reviewed was ranking for 420 keywords two years ago, but only 240 keywords today. That's a 43% keyword loss. They were losing rankings faster than they were gaining new ones. That's a declining asset.

Financial Statement Accuracy and Hidden Revenue Leakage

I've reviewed financial statements for maybe 520 content site acquisitions across our Deal Alert AI database. I would estimate that 60% of them significantly overstate net profit because they're missing certain cost categories or not accounting for variable costs properly.

The most common pattern: Founder reports $45K/month revenue and $38K/month net profit. But that math assumes $7K/month in costs, and when you audit the actual costs, you find:

$1,200: Freelance content writers

$400: Hosting

$600: Software subscriptions

$800: Outreach and link building

$300: Email service

= $3,300 accounted for

The $3,700 gap gets filled with: "Well, I spend like 12 hours per week managing this, so if you value my time at..." and then they use an arbitrary hourly rate to justify why $3,700 is really closer to $0 in actual costs because they're not paying themselves.

This is fantasy accounting. When you buy the business, you either: (a) manage it yourself and work 12-15 hours per week you weren't expecting, or (b) hire someone to manage it and now your $38K profit becomes $26K profit because you're paying a manager $1,200/month.

Here's what to request and how to verify it:

Twelve months of transaction data from all revenue sources. Not a summary. Actual transaction reports from your affiliate network, ad network, and monetization platforms. This lets you verify they're accurately reporting revenue, not inflating numbers.

Twelve months of expense data from all relevant payment platforms. This means your payment processor (Stripe, PayPal), your accounting software (Quickbooks, FreshBooks), and credit card statements. Request the full unredacted reports. I've had sellers provide "summaries" that conveniently exclude certain expenses.

Tax returns. If the seller won't provide tax returns