AdPlexity vs AdHeart: Buy Traffic Sources or Buy Meta Depth

how does adplexity split its catalogue into separately priced products?

AdPlexity splits its catalogue by traffic source, not by feature tier. Native, Desktop, Mobile, Adult, Push and Social are six separate products, each licensed and billed on its own, with no single subscription covering all six, per AdPlexity's pricing page. A buyer running native funnels pays for AdPlexity Native. A buyer running push offers pays separately for AdPlexity Push. Nothing crosses product lines unless you pay for each one.

This is the same instinct we mapped in our AdSpy vs AdPlexity breakdown: AdSpy charges one flat rate for one traffic source, Facebook and Instagram, while AdPlexity charges per source across six. They're opposite pricing logics answering the same underlying question — should scope or access set the price.

what does each adplexity module cost per month and per year?

The per-year discount runs about 20% across every AdPlexity product, but the monthly floor still varies by source. Native is the most expensive module at $249/month or $208/month billed yearly. Desktop, Mobile and Adult each list at $199/month or $166/month yearly. Push is the cheapest named product at $149/month or $124/month yearly, per adplexity.com/pricing.

Social is the outlier: it's listed as a product on AdPlexity's site, but no price appears next to it on the pricing page at all, a gap that needs re-confirming before anyone budgets against it. Stack more than two or three of the priced modules and the annual bill climbs past what most single-network spy tools charge for a full year.

what does adheart charge and what does that single plan cover?

AdHeart runs two named paid tiers plus a custom Team plan, all covering the same inventory at different volume caps. Start costs $70/month for 3,000 unique searches monthly and a 100-search daily limit. Pro costs $89/month for 9,000 searches monthly and a 300-search daily cap. Team is quote-gated, pitched at groups from 3 to 100+ seats, per adheart.me/en/pricing.

Both paid tiers cover the same three sources — Meta ads across Facebook, Instagram, Messenger and Audience Network, TikTok ads, and mobile app ads — in over 100 countries with daily updates, according to that same pricing page. You aren't buying more networks moving from Start to Pro. You're buying more search volume against the networks AdHeart already covers.

does adplexity cover meta at a published price?

No — not at any price a buyer can currently confirm. AdPlexity Social is the product that would carry Meta and social inventory, but its own pricing page shows no dollar figure next to it, so the figure needs re-checking before anyone can budget for it.

The five modules that do carry published prices — Native, Desktop, Mobile, Adult and Push — are built around display, native, adult and push networks, not Facebook or Instagram. AdPlexity Native filters affiliate networks like MediaForce, ClickBank and BuyGoods and publisher sites like Outbrain, Taboola and MGID, none of which touches Meta's ad library. If your funnels live on Facebook, AdPlexity's confirmed catalogue has nothing priced to sell you.

does adheart cover native, push or pop inventory?

No — AdHeart's coverage stops at Meta, TikTok and mobile app ads, with no native, push, pop, Google, Pinterest or Snapchat inventory named anywhere on its site. That's a hard boundary the vendor states outright, not a gap it stays quiet about — the product's own navigation lists exactly those three categories and nothing else.

For a buyer sourcing traffic through native or push networks — say, running campaigns into markets like Russia, where available traffic sources skew heavily toward native and push rather than Meta — AdHeart simply has no data to show. That's exactly the gap AdPlexity's Native and Push modules exist to fill, and it's the clearest reason the two tools rarely compete for the same buyer.

which one can filter by affiliate network and publisher site?

AdPlexity, specifically AdPlexity Native. Its filters name affiliate networks (MediaForce, ClickBank, BuyGoods), publisher sites (Outbrain, Taboola, MGID) and arbitrage networks (Tonic, Sedo) explicitly, alongside keyword search across landing pages and ad content, per native.adplexity.com. Those are structured, named fields, not a generic search box.

AdHeart's pricing page advertises '15+ advanced filters' and 250+ ad geos, but none of the disclosed filter names are affiliate-network or publisher-site fields — the emphasis sits on geo, niche tags like dating and gambling, and search speed. If affiliate-network filtering is the deciding feature, AdPlexity Native is the one built around it.

what are the trial and refund terms on each side?

Neither offers a free trial, but AdHeart gives more before you pay. AdPlexity states plainly it offers no free trial, replacing it with a personalized demo call, and its refund policy requires a request within 2 days of the subscription start date, granted 'at the sole discretion of AdIntelligence Limited' and excluding issues like third-party software failures.

AdHeart's free mode is a capped demo rather than a trial — onboarding offers 35 free searches, downloads and app analytics stay blocked, and coverage narrows to Facebook and Instagram only. Once you pay, AdHeart's pricing page states a 2-week money-back guarantee, longer than AdPlexity's 2-day window, and accepts Stripe, Fondy or cryptocurrency across terms from 1 month to 1 year.

which one gets cheaper as you add traffic sources, and which as you add depth?

AdPlexity gets more expensive, linearly, every time you add a traffic source. AdHeart gets more expensive only when you add search volume on sources it already covers. Run Native, Push and Desktop together on AdPlexity and you're paying roughly $249 plus $149 plus $199 a month before any yearly discount — three separate bills for three separate sources.

AdHeart's cost ladder runs the other direction: Start to Pro is a $19/month jump for triple the search volume, with no new network unlocked in between. That's the traffic arbitrage math in miniature: spend more where the marginal unit of research still buys margin, stop where it doesn't. A buyer running one or two sources on Meta and TikTok will usually land cheaper on AdHeart; a buyer spread across native, push, display and adult will usually land cheaper stacking only the specific AdPlexity modules they actually use.

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, Meta advertising standards, and Google helpful content guidance. 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, Best Tiktok Ad Spy Tools: Honest Comparison, Free Ad Spy Tool Reddit: What You Get and Where It Stops, Facebook Ad Spy Extension: The Practical Version, Ad Spy Tools Pack: Read Before You Rely on It, 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.