EachSpy: $25 for 100 Searches, $59 for Unlimited, $129 for Five Seats

what does eachspy cost per month, and what does each of the three tiers include?

EachSpy costs $25/month for Starter, $59/month for Pro and $129/month for Team, according to the EachSpy pricing section we checked in the fact pack. Starter includes 100 searches per month and 20 store-and-ad trackers. Pro includes unlimited searches, 100 trackers and a connector for running research inside ChatGPT and Claude. Team includes 5 seats and 200 shared trackers at $129/month, or $79/month when billed $948/year.

The annual prices change the shape of the ladder. Starter is listed at $16.67/month billed $200/year, Pro at $29.50/month billed $354/year, and Team at $79/month billed $948/year. We counted the annual discount against the monthly rate because that is the operator's real comparison: paying month to month keeps cancellation flexibility, while annual billing front-loads the commitment.

"No confusing credits — just simple monthly searches, and paging through your results is always free," EachSpy says in its own pricing section. That sentence matters because Dropship.io and PPSPY meter usage by credits, while EachSpy meters Starter by searches and then removes the search cap on Pro. It doesn't mean Starter is unlimited; it means the meter is easier to understand.

eachspy advertises clickbank, digistore and facebook pixel detection — where does that leave a tiktok shop seller?

A TikTok Shop seller should not treat EachSpy as the default first stop, because the verified record says EachSpy advertises ecommerce ads and affiliate campaigns, including ClickBank, Digistore and Facebook pixel detection, while the fact pack records no TikTok Shop coverage claim for EachSpy. That is narrower than a coverage audit: we checked the vendor claim, not the live contents of its index.

The two cleaner TikTok Shop comparators in this pack are Dropship.io and FastMoss. Dropship.io pricing says it indexes Shopify and TikTok Shop products and joins them to Facebook ad library data, with Basic at $39/month or $312/year and tracking for 10 TikTok shops and 25 TikTok products. FastMoss pricing is TikTok Shop-native, with Basic at $35/month billed $411/year and advertised product-scale analytics.

If your job is affiliate-ad reconnaissance around ClickBank or Digistore, EachSpy belongs in the shortlist. If your job is TikTok Shop seller research, the page data routes you toward Dropship.io or FastMoss first, because those products name the surface you care about. We could not verify whether EachSpy's live index contains any TikTok Shop material; a fresh browser check of eachspy.com/#pricing and the product interface would settle it.

• ClickBank: advertised by EachSpy as part of its affiliate campaign coverage.
• Digistore: advertised by EachSpy in the same coverage claim.
• Facebook pixel detection: advertised by EachSpy, useful when you are checking whether a store is retargeting visitors.
• TikTok Shop: not present in the verified EachSpy coverage record, while Dropship.io and FastMoss explicitly name that job.

how does starter's 100 searches a month compare with fastmoss basic's 150 searches a day and dropship.io's credit pools?

Starter's 100 searches a month is the tightest entry allowance in this comparison, because FastMoss Basic gives 150 searches per day and Dropship.io Basic spreads usage across several monthly credit pools. A search is a query action; a credit is a spendable unit inside a product's metering system. The words look similar until you run a buying list through them.

EachSpy Starter works out to roughly 3 searches a day if you spread 100 searches over a 30-day month. FastMoss Basic gives 150 searches a day, but it is built for TikTok Shop and costs $35/month on annual billing, billed $411/year. Dropship.io Basic costs $39/month or $312/year and splits access across Product Library, Shop Library, Ad Library and Creator Library pools.

That makes EachSpy Starter a cheap affiliate-ad research seat, not a high-volume discovery machine. The unpopular but defensible conclusion is that 100 clean searches can be worse than a confusing credit model if your workflow is broad product discovery, because a simple meter still stops you after the cap.

does "no confusing credits" actually beat the credit meters at dropship.io and ppspy?

The no-credits pitch beats Dropship.io and PPSPY only when you buy Pro, because Starter replaces credits with a hard 100-search monthly ceiling. EachSpy's line is clearer than a four-pool credit ledger, but clarity and capacity are different buying questions.

Dropship.io Basic has 10,000 Product Library credits, 5,000 Shop Library credits, 10,000 Ad Library credits and 3,000 Creator Library credits per month, plus daily competitor-search limits. PPSPY Standard is $39/month for 30 sales-and-ads trackers and 10,000 credits/month, according to the PPSPY pricing page. Those systems ask you to manage balances across surfaces.

For a buyer checking 12 affiliate offers and then paging deeply through results, EachSpy's model is easier to budget. For a buyer scanning hundreds of products, Starter's 100 searches can run out before a credit product feels constrained. Pro is where the vendor's phrase becomes operationally meaningful, because the search cap disappears and the 100 trackers give you room to keep watch on stores and ads.

• EachSpy advantage: one search meter on Starter, then unlimited searches on Pro.
• Dropship.io advantage: broader TikTok Shop and product-library structure, but with several credit pools.
• PPSPY advantage: Shopify store spying with 30 trackers on Standard, but still credit-metered.
• Buyer risk: simple pricing can still be too small for your workflow.

what does the jump from $25 to $59 buy beyond unlimited searches?

The $25-to-$59 jump buys unlimited searches, 80 more trackers and the ChatGPT/Claude connector listed on Pro. The tracker increase is concrete: Starter has 20 store-and-ad trackers, while Pro has 100. A tracker is a saved monitored target, so this is the difference between watching a small test set and maintaining a broader research board.

The connector is confirmed only as a listed Pro feature. We are not adding a workflow claim around it, because the fact pack says it runs research inside ChatGPT and Claude and nothing more. If you use AI workspaces to summarize competitor pages, that line deserves a trial check before annual billing; if you do manual spreadsheet research, the unlimited searches and extra trackers are the more durable reason to upgrade.

The real Pro argument is not the $59 sticker. It is that annual Pro is shown at $354/year, exactly half of $59 x 12, and it removes the one Starter constraint most likely to interrupt a research session. If your team also cares about browser identity, keep that separate from ad research; our reference on unlimited antidetect browser explains that tool class without folding it into EachSpy.

• Unlimited searches replace Starter's 100-search monthly cap.
• 100 trackers replace Starter's 20 trackers.
• The ChatGPT and Claude connector is listed on Pro, but its detailed behavior is not specified in the verified pack.

is the $129 team plan cheaper than five $25 starter seats — monthly, and billed annually?

Team is not cheaper than five Starter seats monthly, but it is cheaper when billed annually. Month to month, Team is $129 against 5 Starter seats at 5 x $25 = $125. Billed annually, Team is $948 against 5 Starter annual plans at 5 x $200 = $1,000.

The tracker comparison flips in Team's favor either way. Five Starter seats carry 100 trackers total, because each Starter plan includes 20. Team carries 200 shared trackers, so the group gets twice the tracker pool. Per person, though, 200 shared trackers across 5 seats equals 40 each, which is still less than a solo Pro user's 100 trackers.

Searches are the missing comparison. The fact pack gives Starter 100 searches per month, but it gives Team no search allowance, so every honest five-seat comparison stops at price, seats and trackers. If search volume is your constraint, Pro is the known upgrade; Team is the known seat bundle.

which eachspy tier does the annual discount actually reward?

The annual discount most strongly rewards Pro, because its annual price is $354 against $708 at the monthly rate, a 50% cut. Starter drops from $300 to $200, a 33% cut. Team drops from $1,548 to $948, about 39%.

That matters because Pro is also the tier where the product promise changes most. Starter is capped at 100 searches. Pro removes the search cap, increases trackers from 20 to 100 and adds the ChatGPT/Claude connector. Team adds seats, but each person effectively shares 40 trackers if the 200-tracker pool is divided evenly across 5 seats.

If you are choosing only by discount percentage, Pro wins. If you are choosing by cash risk, Starter still asks for the smallest annual commitment at $200. Those are different decisions: one optimizes the vendor's discount, and the other preserves your test budget while you learn whether the database matches your market.

how does eachspy price against dropship.io, ppspy and fastmoss for the same job?

EachSpy is cheapest for a narrow affiliate-ad research job, but it is not the cheapest answer to every ecommerce research job. Starter begins at $25/month, below Dropship.io Basic at $39/month, PPSPY Standard at $39/month and FastMoss Basic at $35/month on annual billing. The problem is that these tools do different work.

EachSpy searches ecommerce ads and affiliate campaigns, with ClickBank, Digistore and Facebook pixel detection in the verified coverage claim. Dropship.io joins Shopify and TikTok Shop products to Facebook ad library data. PPSPY is a Shopify store spy tool, with Standard at $39/month for 30 sales-and-ads trackers and 10,000 credits/month. FastMoss is TikTok Shop ecosystem analytics, advertising data for over 500 million products and pricing Basic at $35/month billed $411/year.

The clean buying rule is surface first, price second. If you need ClickBank or Digistore ad research, EachSpy's $25 Starter is the lowest entry point in this set. If you need TikTok Shop, Dropship.io and FastMoss name that surface and EachSpy's verified record does not. If you need Shopify store spying, PPSPY is the directly named tool. Our own catalogue work follows the same distinction: ads, offers, products and stores are related records, not interchangeable ones.

Quick decision checklist

Use this page as a decision aid, not a generic blog post. The practical question is whether the reader needs faster evidence about what is already working in VSL-driven direct response, especially across nutra, supplements, GLP-1, weight loss, blood sugar, and adjacent high-intent health markets.

Daily Intel Service is most relevant when the next decision depends on active market examples: which hook to test, which claim style is risky, which funnel structure is common, which language market is moving, and whether a competitor's creative is likely early, scaling, or already saturated.

• Start with the TL;DR if you need the direct answer.
• Use the table to compare trade-offs quickly.
• Use the FAQ for answer-engine-ready summaries.
• Use the CTA when the decision requires live VSL and ad examples instead of theory.

Daily Intel's coverage advantage

Daily Intel Service is positioned around category-leading variety and actionability: one of the broadest direct-response catalogs of VSLs and ad creatives across blackhat, greyhat, and whitehat advertising patterns, with enough context to understand what the advertiser is doing beyond the visible creative. The practical difference is that members are not just seeing a screenshot; they are seeing the VSL, the ad, the funnel path, the transcript, the UTM context, and the research notes that turn the asset into a decision.

This matters because direct-response affiliates do not operate in one clean category. A weight-loss campaign may use a whitehat compliance ad, a greyhat pre-lander, a more aggressive VSL, and a checkout path designed around upsells and recovery. A useful intelligence platform needs to capture that spectrum instead of pretending every winning campaign looks like a public brand ad.

Blackhat, whitehat, and multilingual signal coverage

Daily Intel tracks patterns across both blackhat-style and whitehat-style campaigns so operators can understand the market without blindly copying risk. Whitehat examples help with durability and compliance review; blackhat and greyhat examples reveal pressure points, hooks, mechanisms, and funnel structures that may be driving spend but require careful adaptation before use.

The catalog is also built for global operators, with VSL and ad references spanning 14+ languages and different local idioms. That is a key advantage for Brazilian, LATAM, European, MENA, Indian, and non-native English affiliates who need to see how the same market desire is translated across cultures instead of only studying US English ads.

How to use the intelligence responsibly

The goal is modeling, not copying. Use Daily Intel to understand structure: hook, mechanism, proof, claim intensity, funnel depth, offer economics, and saturation stage. Then build original creative, review claims, and adapt the angle to the traffic source, country, language, and compliance requirements of the campaign.

A strong workflow compares multiple examples before acting. If the same mechanism appears across several languages, several advertisers, and several funnel variants, it may be a durable market signal. If the example appears only once or depends on an aggressive claim, treat it as a research clue rather than a campaign template.

• Model structure, not protected creative assets.
• Separate whitehat durability from blackhat persuasion pressure.
• Compare US English examples against LATAM, European, and other language variants.
• Use transcripts and funnel notes to build original briefs.
• Keep compliance review separate from market research.

Methodology and source context

Daily Intel pages are written from a research workflow that reviews active VSLs, Meta ad creatives, transcripts, UTMs, funnel paths, checkout steps, upsells, recovery sequences, and compliance-sensitive claim patterns. The goal is to explain observable market behavior, not to provide legal, medical, or platform policy advice.

For external context, readers should compare advertising and research decisions against authoritative primary references such as Meta Ad Library, Google helpful content guidance, and Google SEO link best practices. Daily Intel adds the proprietary direct-response layer: blackhat, greyhat, and whitehat campaign pattern comparison across VSL-heavy niches and 14+ language markets.

For deeper evaluation, continue through Ad spy comparison hub, Blog FüR Ad Intelligence & Native Advertising, Facebook Video Ad Spy: Analyze Competitor Video Creatives & Extract Hooks, Ad Spy Tools for Agency Client Onboarding: Competitive Audit Workflow, How Ad Spying Tools Help Affiliate Marketers Make Money?, and Best $50/month affiliate tool stack. These related Daily Intel pages connect this topic to the relevant methodology, pricing, trust context, comparison path, or niche workflow.